Agentic AI - 北美华人人力资源协会

Agentic AI

趋势？欧莱雅上线“全球 Beauty Tech Agentic Platform”，打通SAP与Salesforce等核心系统 L'Oréal Launches Global Agentic AI Platform to Transform Enterprise Operations 核心摘要：欧莱雅正式推出全球Agentic AI平台，标志着企业AI进入“执行时代”。该平台基于Multi-LLM与Multi-Cloud架构，通过MCP协议打通SAP、SuccessFactors、Salesforce与ServiceNow，实现AI智能体在真实业务系统中的操作能力，而非仅做分析辅助。更值得关注的是评论区透露的行业趋势：AI挑战已从“模型能力”转向“运营与治理”。包括Agent行为的实时控制（Runtime Control）、规则漂移带来的持续治理问题，以及多步骤决策链中的风险管理，正在成为企业落地AI的核心难题。这意味着企业正从“软件系统”走向“AI执行系统”，HR系统也将从记录工具升级为执行引擎。AI不再只是效率工具，而是正在重塑组织运行方式的基础设施。更多信息可以关注 HRTech 当大多数企业仍在讨论如何通过AI提升效率时，L'Oréal 已经将AI推进到了一个更深层次：让AI直接进入企业执行系统。其最新发布的 Beauty Tech Agentic Platform，并不是一个传统意义上的AI应用平台，而更像是一个“企业级AI操作系统”的雏形。这一动作的核心意义在于，企业不再只是“使用AI”，而是在构建一个由AI智能体驱动的运行体系。这标志着AI从辅助工具，正式进入企业的执行层。从辅助到执行：AI角色的根本变化在 Etienne Bertin 的表述中，有一个非常关键的转变：企业正在从“帮助人完成任务”，走向“与AI智能体协同完成工作”。这不仅是技术能力的提升，更是AI角色的重新定义。过去的AI主要承担信息处理和辅助决策的角色，例如生成内容、分析数据或提供建议。而在Agentic AI模式下，AI智能体可以直接连接企业核心系统，并执行实际操作。例如，通过MCP（Model Context Protocol），该平台将AI智能体与 SAP S4HANA、SAP SuccessFactors、Salesforce 以及 ServiceNow 等系统打通，使其具备真正的业务执行能力。这意味着企业正在从“System of Record（记录系统）”迈向“System of Execution（执行系统）”，AI开始参与而不仅是支持业务运行。真正的挑战：不是构建AI，而是运营AI 如果仅从架构角度来看，Multi-Cloud、Multi-LLM以及数据治理已逐渐成为企业级AI的标准配置。但评论区的讨论揭示了更深层的现实：AI的难点已经不在“能不能做”，而在“如何管、如何用”。来自 Mounir Nejjai 的观点指出，企业不能仅依赖可观测性（Observability）来理解AI行为，而需要构建一个“运营层”（Operations Layer），能够实时干预AI的运行。这种转变类似于从“监控摄像头”升级为“安全运营中心”。换句话说，未来企业需要具备的是一种新的能力：对AI进行持续运营和调度，而不仅仅是部署和监控。这也意味着一个新的技术与产品方向正在出现，即“Agent Operations（智能体运营层）”。 AI治理进入“持续化时代” 另一个关键问题在于，AI系统的规则并非一成不变。随着模型、数据和环境的变化，AI行为会发生“漂移”。这意味着传统的“上线前设定规则”模式已经失效。企业需要建立持续治理机制，包括行为审计、策略动态更新以及自动纠偏能力。这一变化使AI治理从一次性合规动作，转变为长期的运营能力。对于HR及企业管理者而言，这意味着未来不仅需要理解AI，还需要具备管理AI的能力，类似于管理团队或业务流程。风险的本质：来自“连续决策链” 来自 Alamine Ahamada 的评论揭示了Agentic AI最核心的风险之一：单个动作的正确性并不能保证整体系统的安全。在传统系统中，决策往往是单点的，而在Agent系统中，AI会进行多步骤连续决策。这种“决策链”可能在每一步都合理，但最终结果却偏离预期。因此，企业需要构建“运行时控制（Runtime Control）”能力，在AI执行过程中实时监控和干预其行为，而不是仅在设计阶段进行风险控制。数据与用例：决定成败的关键变量尽管Agentic AI在技术上已经具备可行性，但其商业价值的实现仍然受到基础条件的制约。来自 Maire Orusaar 的观点指出，真正的挑战在于主数据质量、成本控制、安全以及用例选择。这一判断揭示了一个现实问题：许多企业能够构建AI系统，但无法实现规模化应用。原因在于缺乏高质量数据、清晰的业务场景以及合理的成本结构。因此，在Agentic AI的早期阶段，企业之间的竞争将更多体现在数据能力与场景设计能力上，而非模型本身。组织层面的重构：HR角色正在被重写来自 Stephanie Lutz 的评论指出，这一变化本质上是企业运营模型的演进，而非单纯的技术升级。这一判断对于HR领域尤为重要。当AI智能体进入企业执行层后，组织内部将发生多方面变化。员工将不再只是使用系统，而是与AI协作；决策将由“人主导”转变为“人机协同”；岗位能力也将从执行流程转向管理和优化AI。这意味着HR系统将从“记录工具”升级为“执行引擎”，而HR角色将从流程管理者转变为AI运营与治理的参与者。未来的关键问题：AI是否理解“意图” 在众多讨论中，一个较少被关注但极为重要的问题是，AI如何理解客户或员工的“意图”。来自 Jana Bobosikova 的提问直指这一核心。如果AI仅基于规则和历史数据进行决策，其能力仍然局限于执行流程。只有当AI能够理解并整合“意图数据”，才能真正实现决策优化和体验提升。这也预示着未来AI发展的一个方向：从“流程驱动”走向“意图驱动”。结语：企业正在进入“Agent驱动时代” 欧莱雅的这一举措，清晰地展示了企业AI发展的下一阶段路径：从软件驱动，走向智能体驱动。企业不再只是构建系统，而是在构建一个由AI参与运行的复杂生态。这一转变的核心不在于技术本身，而在于企业是否具备运营、治理和规模化AI的能力。对于HRTech行业而言，这意味着竞争逻辑的根本变化：未来的关键，不再是系统功能的丰富程度，而是是否能够构建一个可控、可运营且具备业务价值的AI智能体体系。这场变革才刚刚开始。

Agentic AI
2026年04月07日
Agentic AI

AI转型时代的HR角色：从人力资源到首席AI赋能官-Servicenow 最新报告解读《HR’s Role in AI Transformation》（点击下载）报告指出，人工智能带来的不仅是技术变革，更是以人为核心的管理革命。AI能够帮助企业简化流程、提升生产力、释放时间，使员工专注于更具创造性和战略性的工作。 AI转型不是单纯的技术问题，而是“人”的变革。HR 在其中扮演“首席AI赋能官（Chief AI Enablement Officer）”的角色。报告提出了一个“三步战略”：第一，重塑AI驱动的HR职能，包括强化数据与技术基础、建立AI治理模式、实施AI控制塔并设计未来HR岗位；第二，在HR及全组织范围内推动AI应用，重点是技能重塑与提升，构建AI赋能框架，推动员工在Know AI、Use AI、Build AI与Lead with AI四个层面成长；第三，转型劳动力，涵盖变革管理、工作设计、人与AI代理协作、以及文化引领。特别强调AI代理将成为劳动力新成员，人类与AI的组合将决定未来组织的竞争力。引言：AI转型是一场人类与组织的双重革命过去几十年里，技术革新不断改变企业运营的方式，但人工智能的兴起无疑是迄今为止最具颠覆性的力量。它不仅仅是一场技术浪潮，更是一次深刻的“人”的变革。人工智能的发展使组织在效率、洞察力和业务增长方面迎来了前所未有的机遇，但同时也带来了治理、文化和技能方面的巨大挑战。正是在这种背景下，HR被赋予了前所未有的使命——不仅是人才管理的执行者，更要成为AI转型的推动者和引领者。本报告由ServiceNow及其合作专家撰写，提出了一份面向HR领导者的行动手册，强调CHRO应成为“首席AI赋能官”，通过三步战略，将AI真正嵌入组织运行的血液之中。为什么HR在AI转型中处于核心地位人工智能带来的变化远远超过了效率层面的改进。它让企业重新思考工作的设计方式、人才的定义以及组织的整体结构。报告提出，“AI是一场人文复兴”，这意味着AI的最大价值在于释放人类的潜能，让员工摆脱低价值的事务性任务，把时间和精力集中在创造力、战略思维和创新活动上。数据印证了这一趋势。根据ServiceNow的《AI成熟度指数2025》，82%的企业计划在未来一年增加AI投资。世界经济论坛的《未来就业报告》显示，86%的雇主认为到2030年AI和信息处理技术将会深刻改变业务模式。而Accenture的调查发现，64%的员工已经意识到AI将改变他们的工作内容，需要新的技能或进行显著的再培训。然而，McKinsey的调研也指出，只有1%的高管认为他们的生成式AI落地已达到成熟水平。这一矛盾说明，虽然AI投资与应用的热度极高，但企业在治理、应用深度和人才适配上依旧存在明显差距。在这样的背景下，HR的任务不仅是配合技术部门落地工具，而是要将AI转型与人力战略绑定起来。正如报告所强调的，“企业战略始于人才战略”，如果HR不能主动推动AI赋能，那么企业的AI转型必然流于表面。三步战略：HR引领AI转型的完整路线图第一部分：重塑AI驱动的HR职能 AI要在HR中真正落地，首先必须打下坚实的技术与数据基础。报告强调，HR必须与IT形成紧密的战略合作关系，而不是过去的单向依赖。两者需要共同决定数据架构、技术平台和AI伙伴的选择，从而保证数据集中、质量可控，避免出现信息孤岛。只有这样，AI应用才能覆盖全员，形成统一体验，而不是分散在多个工具中导致混乱。在此基础上，企业应建立HR专属的AI治理模式。ServiceNow提出“AI工厂”的概念，即通过结构化流程，将AI的创意收集、评估、优先级排序、开发与治理整合在一个可重复、可扩展的框架中。这种模式既能保障创新速度，又能确保伦理、合规和业务价值的平衡。例如，ServiceNow的AI控制塔就是一个典型案例，它能够实时监测AI模型的表现、数据质量和合规性，帮助HR领导者清晰掌握AI在组织内的使用情况，避免出现偏差或风险。更重要的是，AI不仅改变了HR的工具箱，还将深刻改变HR岗位本身。未来的HR将不再只是处理招聘、绩效和培训，而是要承担更多“产品思维”和战略角色。新兴岗位包括AI编排设计师，负责规划AI代理与业务流程的融合；员工体验设计师，专注于优化AI驱动下的员工旅程；AI伦理官，确保AI使用与企业价值观一致；人才战略师，利用预测分析塑造长期的人才布局。这些角色的出现，意味着HR正在从事务执行者转向企业未来的战略设计者。第二部分：推动AI赋能，重塑技能与学习生态报告的第二步战略强调，AI赋能不仅发生在HR职能内部，更要扩展到整个组织。HR的责任是帮助所有员工掌握新技能，并通过合理的框架推动全员适应AI时代的工作方式。世界经济论坛指出，到2030年，全球劳动力中约有59%的人需要进行技能重塑或升级，其中11%可能无法获得相应机会。这是一个极大的挑战。ServiceNow的研究同样表明，几乎所有岗位都将不同程度地经历任务的自动化或增强。因此，HR需要以战略性的方式推动再培训和技能升级，把员工从事务性任务中解放出来，让他们专注于创造价值。未来的关键技能既包括技术能力，也包括人类核心能力。在技术层面，AI、大数据、网络安全和数字素养将持续增长。在人类核心方面，创造性思维、韧性、灵活性、领导力和好奇心同样重要。报告指出，单一的技能组合已不足以支撑未来，真正的竞争力在于技术与人类技能的结合。为此，ServiceNow提出了“Know-Use-Build-Lead”的AI赋能框架。所有员工都需要具备AI的基础知识，理解提示工程和数据隐私等基本原则（Know）。大多数员工需要掌握如何使用AI工具完成工作（Use）。技术人员则需要具备构建AI解决方案的能力（Build）。而管理者必须学会如何引导团队与AI共事，推动采用和文化转型（Lead）。这种层级化的框架确保不同层次的员工都能找到清晰的学习目标。此外，AI热力图是一个非常直观的工具，帮助企业识别岗位中最适合AI接管的任务。例如在HR共享服务岗位，AI能够处理知识库维护、案例管理和供应商对接等事务，从而节省员工约28%的时间。这些节省下来的时间被重新分配到人才发展和战略项目中，形成了“效率—学习—价值提升”的正向循环。 ServiceNow还推出了ServiceNow University，以AI驱动的学习体验取代传统的静态培训模式。它通过预测和个性化推荐，提供从入职到深度进阶的学习路径，使员工在工作中就能完成技能提升。这种模式意味着学习将不再是周期性任务，而是与工作高度融合的持续过程。第三部分：转型劳动力，构建人机协同的新团队 AI的普及最终会改变劳动力的定义。报告提出，AI代理（Agentic AI）不再只是工具，而是将成为组织中的“虚拟员工”。这意味着HR必须考虑如何为AI代理“入职”，如何培训它们、如何评估绩效，甚至如何与人类员工共同组成混合团队。未来的组织将由人类与AI共同构成，HR的角色是设计并治理这种新型劳动力结构。劳动力转型的关键在于三方面。第一是变革管理。许多员工对AI存有焦虑，担心被替代。HR必须通过沟通、培训和文化建设，确保员工理解AI是赋能工具而非竞争对手。第二是工作设计。企业需要明确哪些岗位和任务由AI承担，哪些仍需人类独有的判断、创造力和同理心。第三是文化引领。AI的真正成功取决于信任，当领导者投资于员工的学习和成长时，会传递一个重要信号：员工属于企业的未来。报告特别强调，组织必须选择是用AI来替代人以削减成本，还是通过AI增强人类潜能。如果选择后者，就能打造更有韧性和创造力的团队，并形成长期竞争优势。 AI在实践中的应用价值为了证明上述战略的可行性，报告提供了多个案例。在ServiceNow内部，AI已经帮助HR共享服务部门实现生产力翻倍。一名HR支持员工的数量从412人提升到881人，同时不以裁员为目标，而是通过再培训把释放出来的时间投入到人才发展与战略工作中。在AstraZeneca，AI平台帮助替代了实验室日常的手工流程，例如试管登记与存储，每年节省超过6万小时。这些时间被重新用于药物研发，从而加速了寻找罕见疾病治疗方案的进程。 BT集团的案例展示了AI在客户体验中的威力。通过ServiceNow平台，BT将客户服务的响应时间从4.7小时缩短到1分钟，任务自动化率提升80%。同时，AI还能预测并防止网络故障，帮助客户服务人员减少55%的文书时间。这些案例表明，AI的价值不仅在于效率，更在于通过再分配时间和资源，实现业务增长和员工发展的双重目标。未来趋势与大赌注报告最后提出了未来几年的重点方向。首先是Agentic AI。AI代理将成为劳动力规划的重要组成部分，独立完成任务并大规模运作，而人类则专注于需要创造力和复杂判断的工作。其次是以技能为核心的组织模式。AI工具可以帮助企业绘制员工技能地图，识别差距并推荐培训。这样，组织能够更敏捷地适应变化，并把AI释放的能力重新分配到关键领域。第三是“学习即工作”。未来的学习将不再依赖周期性的培训，而是融入日常工作流程。员工在完成任务的同时，不断获得新知识和技能，保持岗位的长期适应性。此外，治理和信任将成为AI成功的基石。Accenture的调研显示，77%的高管认为，只有在信任和治理的基础上，AI才能真正释放潜力。结论：HR是AI时代的变革引领者《HR’s Role in AI Transformation》（点击下载）清晰地指出，HR在AI时代的使命远超传统职责。CHRO需要承担起“首席AI赋能官”的角色，推动AI的合规治理、技能重塑与文化转型，确保技术与人才的深度融合。AI的最终价值不是取代，而是增强，当人类的创造力与AI的效率结合，企业将迎来真正的人文复兴。对企业而言，这意味着不能仅仅把AI视作提升成本效率的工具，而要把它看作战略资产，积极管理、合理分配，并通过文化和学习机制把员工纳入转型之中。只有这样，AI才能既推动业务增长，也成就更加有意义和有韧性的职场。

Agentic AI
2025年09月08日
Agentic AI

深度观察 | AI重构HR的未来蓝图：战略编排才是核心战场--解读Deloitte《HR Reimagined: Agentic AI for HR》在AI加速重塑企业运作方式的今天，人力资源领域也正经历着一场深刻变革。2025年夏季，Deloitte 发布了最新研究报告《HR Reimagined: Agentic AI for HR》，由资深人力资本与AI转型顾问 Greg Vert 和 Kyle Forrest 联合撰写。报告围绕“Agentic AI”（智能体AI）这一新一代技术，系统探讨了AI如何在HR全价值链中发挥作用——从战略规划、治理体系，到能力建设与技术架构，并通过16项HR核心能力与67个具体活动的分析，描绘了从AI辅助（Assisted）到增强（Augmented）再到AI驱动（AI-Powered）的成熟路径。本文将结合报告核心内容与行业背景，带来一份深入的中文解读，帮助HR领导者与业务决策者理解AI在HR中的落地价值、潜在风险及战略编排方法。非常值得推荐阅读！！如果需要PDF 可以邮件我们 nacshr818@gmail.com 获取德勤报告人工智能的快速发展，正在让HR领域面临一次前所未有的变革。从招聘到员工体验，从绩效管理到流程优化，AI的触角已经伸入几乎所有HR职能。Deloitte 在《HR Reimagined: Agentic AI for HR》中，描绘了一幅未来蓝图——AI不再只是工具，而是HR战略执行的核心力量。本文将结合报告要点，带来一份面向HR领导者的深度解读。 1. AI在HR的三种形态：从辅助到驱动报告指出，AI在HR的应用大致分为三个阶段：辅助型（Assisted）：AI为人类提供支持，如自动生成职位描述、初步整理数据等。增强型（Augmented）：人类与AI交替协作，AI能处理部分复杂任务，如候选人筛选、知识库更新、调查分析。驱动型（AI-Powered）：AI主导流程执行，人类负责监督与优化，例如自动完成员工咨询、生成分析报告、触发跨部门流程。解读：企业应先明确自身在这三个阶段中的位置，然后规划向更高阶段的演进路径，而不是盲目堆砌工具。 2. Agentic AI：HR的“虚拟同事” 传统AI往往是功能插件，作用单一。而Agentic AI的特征在于：理解上下文、规划多步骤任务、调用不同系统完成工作，并能根据反馈优化执行。这类AI更像是一名“虚拟同事”，能够独立完成从信号识别到结果交付的全流程。解读：这要求HR团队具备“管理AI”的能力——为AI设定任务边界、明确流程接口、评估其工作成效，而不是只当它是一个按钮或查询工具。 3. 角色重塑：从事务处理到战略赋能 AI的引入会让HR的时间分配发生显著变化： HR业务伙伴（HRBP）：从有限服务部分业务单元，转向为全体管理者提供战略性人才辅导。卓越中心（COE）：从数据收集整理转向实时洞察与预测，参与前置决策。 HR运营（HR Ops）：80%以上的日常事务由AI执行，团队重心转向员工体验和流程改进。解读：HR的绩效评估指标也应随之调整，从“完成多少任务”转向“业务贡献度”和“战略影响力”。 4. 高价值落地场景报告给出了一些能快速显现成效的Agentic AI应用：入职流程：多个AI协作完成任务分配、福利登记、培训安排，跨平台无缝衔接。请假与返岗管理：AI提前识别返岗事件，触发跨部门流程，并根据反馈优化体验。人才保留：AI实时分析流失风险并推送定制化留才方案，直接触发奖励或调配。解读：这些场景有三个共性——跨系统、闭环执行、可持续优化，非常适合做为企业的AI试点项目。 5. 碎片化风险与战略编排如果不同部门各自引入AI工具，很容易造成“67个AI源”的割裂局面：数据孤岛、体验不一致、治理困难。报告提出五个关键步骤来避免碎片化：规划：目标与业务战略、员工需求一致；治理：覆盖伦理、数据安全、信任机制；能力建设：集中AI专业能力，设立卓越中心；编排：工具互通并嵌入核心流程，而非外挂；衡量：效率、体验、公平性与成果并重。解读：这本质上是“企业级AI治理”的HR版本，需要跨部门协作才能真正落地。 6. 技术趋势：多智能体系统（MAS）未来12-18个月，用户与HR系统的交互将从传统API调用，逐步转向多智能体系统（MAS）——多个AI可以相互协作、与人类互动、跨平台执行复杂任务。例如，招聘AI可以直接与培训AI、薪酬AI协作，实现从录用到入职培训到福利登记的自动化闭环。解读：这意味着企业未来的AI生态将是“团队作战”而非“单兵作战”，需要提前规划架构与数据接口。结语：AI价值取决于编排能力 AI进入HR是不可逆趋势，但它的价值并不会自动释放。真正的竞争力来自于战略性编排与持续优化——让AI不只是辅助工具，而是组织能力的一部分。对于想在未来人才竞争中保持领先的HR团队来说，现在正是重新设计角色、流程与能力结构的关键窗口期。报告来源：Deloitte《HR Reimagined: Agentic AI for HR》作者：Greg Vert 与 Kyle Forrest

Agentic AI
2025年08月13日
Agentic AI

The best HR & People Analytics articles of July 2025 HR如何在AI时代掌握主动？David Green发布的7月《Data Driven HR Monthly》汇集全球顶尖报告与实践，聚焦“技能+任务”新范式、AI对员工体验与倦怠的双面影响，以及CHRO在企业AI战略中的领导地位。BCG数据显示，印度AI使用率达92%，但全球员工对AI培训满意度仅36%。Upwork报告揭示：高效AI用户更易疲惫离职。McKinsey与Gartner呼吁HR重构组织模型与人才规划体系。本期还探讨神经多元、NASA人才图谱与“Vibe Coding”等创新实践。 I always enjoy spending time in India, so I was delighted to arrive in Delhi yesterday ahead of People Matters Tech HR later this week. I’ll be delivering the opening keynote on how HR leaders can ace the next curve of change as well as leading a workshop on the science of better decisions. I’m looking forward to catching up with fellow speakers such as Jason Averbook (tip: subscribe to his Now to Next blog, if you don’t already), Pushkaraj Bidwai, Mukesh Jain, and Shefali Raias well as immersing myself in what is happening in the Indian HR tech scene. In this month’s edition of the Data Driven HR Monthly, which comes against the backdrop of CEOs flexing on the impact of AI on jobs, I’ve included new research from BCG and Upwork on AI at work, and the role of HR. Marc Effron is spot on here with his assessment that CHROs need to be leading the strategic conversation with the executive team on their desire to reduce costs through job reduction enabled by AI: “CHROs can lead this conversation through organization, operating model and job design, where we should be experts.” I expect plenty of discussion at Tech HR on this topic as well as the wider impact of AI on work, the workforce, and the workplace. One of the messages, I’ll look to get across in my keynote is: AI guides, but humans decide. We must prioritise the ‘H’ in HR. This edition of the Data Driven HR Monthly is sponsored by our friends at TechWolf Skills, Tasks, and Workforce Intelligence: Navigating the AI Transformation This month’s edition highlights an important conversation from the TechWolf Podcast, recorded live in New York, featuring Marc Steven Ramos, global learning leader with 25+ years’ global transformation experience with Google, Microsoft, Accenture, Novartis, Oracle, and Cornerstone, and Jeroen Van Hautte ?, CTO & Co-Founder of TechWolf. The discussion explores how task-based intelligence complements skills data to create a complete view of workforce capabilities, empowering organizations to navigate one of the largest business transformations in history: the AI-driven redefinition of work. Skills without context can be ambiguous. Tasks ground them in real work, and that’s where change, productivity, and AI come together — Marc Ramos Why This Matters Now: The pace of change in the workforce is unprecedented. Leading enterprises are already recognizing that workforce intelligence - the ability to understand, predict, and act on how work is changing in real time - is no longer optional. From skills to skills + tasks + jobs: Combining these data points allows organizations to connect individual capabilities to tangible outputs and outcomes. AI as a catalyst: AI is accelerating job evolution, making real-time visibility into tasks and skills essential for workforce planning and redeployment. Strategic urgency for boards: Workforce automation isn’t a distant trend — it is reshaping workforces today, creating pressure on executives to act on reskilling, redeployment, and workforce design at speed. To really understand a skill, you need to understand the context in which it’s applied — the tasks. And that’s where AI can add transformative clarity — Jeroen Van Hautte For HR leaders, this is an opportunity to lead. With skills and tasks as the foundation, HR is uniquely positioned to drive cultural alignment, manage change, and deliver on the board-level mandate to prepare workforces for the AI era. Listen to the Episode: ?️ Marc Ramos & Jeroen Van Hautte on Tasks, Skills & the Future of Work (TechWolf website summary) To sponsor an edition of the Data Driven HR Monthly, and share your brand with more than 145,000 Data Driven HR Monthly subscribers, send an email to dgreen@zandel.org. JULY ROAD REPORT Until flying to Delhi yesterday, as mentioned above for Tech HR India later this week, July had been a light month of travel other than a short trip to Switzerland to run an AI workshop with the HR leadership team of one of the companies that are part of the Insight222 People Analytics Program. For those interested, one of my speaking engagements from earlier this year, at the Wharton People Analytics Conference, is now available to view (see below). In the talk, I explore the critical role of data democratisation and adoption in driving workforce insights, enhancing decision-making, and scaling HR’s strategic impact. I also share best practices from our work and research at Insight222 for making people analytics accessible to leaders and employees alike, the challenges of adoption, and the key investments required to unlock the full potential of workforce data. Enjoy! Share the love! Enjoy reading the collection of resources for July and, if you do, please share some data driven HR love with your colleagues and networks. Thanks to the many of you who liked, shared and/or commented on June’s compendium. If you enjoy a weekly dose of curated learning (and the Digital HR Leaders podcast), the Insight222 newsletter: Digital HR Leaders newsletter is usually published every other Tuesday – subscribe here – and read the latest edition. HYBRID, GENERATIVE AI AND THE FUTURE OF WORK BCG - AI at Work: Momentum Builds, but Gaps Remain | JOHN BRAZIER AND NICK SOUTH - BCG’s AI at Work 2025 report: Four takeaways for HR leaders Companies are realizing that merely introducing AI tools into existing ways of working isn’t enough to unlock their full potential. The real magic happens—and value generated —when businesses go further and reshape their workflows end-to-end. BCG’s annual AI at work global survey of employees is packed full of insights and guidance for business and HR leaders looking to maximise value, adoption and employee experience with AI. The key takeaways include: (1) AI is now part of our daily work lives: 72% of respondents are regular AI users (although adoption amongst frontline employees has stalled at 51%). (2) Investment in training, leadership support and access to the right tools can break this ceiling: Yet only 36% of employees are satisfied with their AI training. (3) The Global South is showing higher adoption of AI. India leads the pack with 92% of regular users compared to the US (64%), UK (68%) and Japan (51%). (4) The next frontier: from adoption to value with end-to-end redesign. One-half of respondents say their company is starting to reshape processes. These companies also invest more in their people – and it pays off (see FIG 1). (5) AI agents are not widely deployed. Only 13% see agents integrated into broader workflows (see FIG 2). Kudos to the authors: Vinciane Beauchene, Sylvain Duranton, Nipun Kalra, and David Martin. For HR leaders, I also recommend reading John Brazier’s interview with BCG’s Nick South about the implications of the report’s findings for HR on the UNLEASH blog. FIG 1: The relationship between workflow redesign due to AI and investment in people (Source: BCG) FIG 2: Use of AI agents (Source: BCG) GABBY BURLACU AND KELLY MONAHAN - From Tools to Teammates: Navigating the New Human-AI Relationship Full time employees getting the most done with AI are also the most burned out, disengaged, and disconnected from their teams. In their study for the Upwork Research Institute, Gabriela (Gabby) Burlacu and Kelly Monahan, Ph.D. identify a crucial message for the future of work: while AI is undeniably boosting productivity – with a reported 40% jump for many workers – it's also creating a human paradox. Alarmingly, top AI performers are experiencing high burnout (88%) and are twice as likely to leave, often feeling disconnected from strategy and even trusting AI more than human colleagues (see FIG 3 and 4). The report offers three urgent calls to action for business leaders: (1) Redesign work for human-centered, AI-empowered talent and workflows, prioritising autonomy, trust and psychological safety. (2) Cultivate flexible and resilient talent ecosystems, combining full-time employees, freelancers, and AI capabilities to create agile, resilient, and high-performing teams. (3) Redefine AI strategies to focus on the end-to-end human experience, including new roles, norms, and governance. For HR leaders, these findings are a wake-up call. We must prioritise the relational side of AI, ensuring human connection, well-being, and purpose are augmented, not eroded. It's about preventing burnout in our most productive AI users, fostering alignment, and learning from agile models like freelancers to build a truly sustainable human-AI collaborative future. FIG 3: The human cost of AI productivity (Source: The Upwork Research Institute) FIG 4: The rise of human-like relationships with AI (Source: The Upwork Research Institute) COBUS GREYLING - Do AI Agents Substitute Human Workers — Or Enable Humans To Succeed In New Ways? | L. ELISA CELIS, LINGXIAO HUANG, AND NISHEETH K. VISHNOI - A Mathematical Framework for AI-Human Integration in Work AI Agents are good at tasks not jobs… In his article, Cobus Greyling provides an insightful and accessible analysis of a new study by Elisa Celis, Lingxiao Huang, and Nisheeth Vishnoi, which presents a mathematical framework that models jobs, workers, and worker-job fit, and introduces a novel decomposition of skills into decision-level and action-level subskills to reflect the complementary strengths of humans and GenAI. Greyling’s incisive analysis offers a helpful perspective for HR leaders navigating the future of work. His core message is clear: AI agents are fantastic at tasks, not entire jobs. They're not just substitutes, but powerful amplifiers of human capability, especially for less experienced workers, effectively compressing productivity gaps and fostering extraordinary collaboration. Here are four key learnings for HR: (1) Agentic AI Augments Human Potential: AI agents boost efficiency and performance, particularly for junior talent, by handling structured tasks and freeing humans for higher-order work. (2) Redefine Skills & Development: While AI takes on the mundane, HR must strategically ensure continuous skill development, focusing on uniquely human capabilities like judgment, creativity, and complex problem-solving. (3) Design for Human-AI Synergy: Organisational design must pivot to foster premium collaborations between humans and AI. It's about combining complementary strengths to achieve outcomes greater than the sum of the parts. (4) HR Leads Strategic Integration: Our role in HR is pivotal. We must orchestrate the strategic integration of agentic AI, balancing its efficiency gains with the imperative to preserve and nurture human ingenuity, driving both innovation and connection. FIG 5: Al for work: skill difficulty continuum (Source: Cobus Greyling) PEOPLE ANALYTICS KETAKI SODHI AND COLE NAPPER - Who Needs a “Human in the Loop” When AI Gives Itself Feedback Ketaki Sodhi, PhD, Program Owner for Agentic Listening and Analytics at Microsoft, and Cole Napper provide a fascinating perspective on the "human in the loop" concept for Generative AI, provocatively asking: which human, and how? This isn't just a technical question; it's where I/O Psychology and People Analytics come into their own. The article frames AI "evals"— the systems for assessing whether AI outputs are useful, accurate or aligned —as essentially performance management for Large Language Models. Just as we've wrestled with defining "good" in complex human knowledge work for decades, we now face the same challenge in building AI systems. In a world of infinite " " answers, AI evals demand the same nuance we apply to human systems: competency models, multi-rater input, calibration, and context. One of the key takeaways from Ketaki and Cole is that true success lies not in chasing perfect answers from AI, but in designing smart, human-informed systems. These are the systems that can discern between good, better, and what genuinely drives impact for your organisation. For people analytics leaders and I/O psychologists, this is a clarion call to leverage their deep expertise in human performance to shape the very fabric of our AI-driven future. FIG 6: Source – Ketaki Sodhi BEN BERRY - The future is built by everyone: What is Vibe Coding and why should People Analytics teams adopt it | ROSARIO GERMINO - From People Analytics to People Economics and Impact | ADRIAN PEREZ – GitLab People Analytics Team Handbook | DOMINIK TOMICEVIC - Can NASA’s People Graph and LLMs Revolutionize Workforce Planning? | MORGAN DEPENBUSCH - How to let color do the storytelling In each edition of the Data Driven HR Monthly, I feature a collection of articles by current and recent people analytics leaders. These are intended to act as a spur and inspiration to the field. Five are highlighted in this month’s edition: (1) In a particularly insightful piece, Ben Berry examines whether vibe coding, a product management practice of using AI tools to rapidly build functional prototypes to help turn rough ideas into working concepts, should be adopted in people analytics. (2) In her thoughtful article, Rosario Germino argues that to elevate people decisions to the same level of strategic investment as product or finance, we need a new way of thinking—and a new kind of function – People Economics and Impact, which she then breaks down into the why (see FIG 7 on the multi-dimensional aspect of informed decision making), what and how. (3) In a recent post, Adrian M. Pérez provides open source access to GitHub’s People Analytics Team Handbook, a rich resources covering areas such as (i) data governance framework, (ii) tools and methodologies, (iii) survey administration, and (iv) Tableau dashboard strategies. (4) Dominik Tomicevic provides a compelling account of how NASA’s People Graph is supporting a range of priorities from upskilling to workforce planning – with insights from the NASA team of David Meza, Madison Ostermann and Katharine Knott, MBA: “Knowledge graphs offer flexibility, since you don’t need a full schema upfront. We began with known relationships and expanded as we uncovered more insights in the data.” (5) In an edition of her excellent Trending Up newsletter, Morgan Depenbusch, PhD offers some compelling guidance on the use of colour in data visualisation and storytelling. FIG 7: Informed decisions are multi-dimensional. Financial logic makes them investable (Source: Rosario Germino) THE EVOLUTION OF HR, LEARNING, AND DATA DRIVEN CULTURE MCKINSEY - HR Monitor 2025 The gap is widening between what is needed from an efficient, effective HR function and what most organizations currently offer McKinsey's HR Monitor 2025 benchmark study of workforce and HR trends across Europe, delivers a sharp analysis of the critical shifts shaping the HR profession, emphasising that the next 12-24 months are decisive for the function. The report identifies five key trends: (1) Workforce planning is not approached strategically enough – see FIG 8 - (“…with rapid changes driven by gen AI and shifting skill needs, workforce planning must move beyond short-term staffing forecasts to include a longer-term view and future-scenario planning”). (2) Talent acquisition is becoming more complex: with only 56% offer acceptance rates, 18% of new hires leaving during their probationary period and the overall hiring success rate in Europe standing at a lowly 46%, a more strategic and coordinated approach to attracting and hiring talent is required. (3) Employee development continues to be highly fragmented (“To prepare the workforce for future challenges, organizations must connect performance management, learning and development, and talent development in one cohesive strategy”). (4) Employee experience is essential—and underdeveloped (“A more tailored, data-driven approach to the employee experience is needed to build motivation and long-term commitment to employers”). (5) Gen AI and shared-services centres could boost efficiency and effectiveness (“HR departments must modernize their operating models by expanding SSC adoption and using automation and gen AI to increase speed, scalability, and strategic impact”). For Chief People Officers, the message is clear: You must align HR strategy directly with business priorities, strengthen your HR operating model, and aggressively build digital and AI skills within HR. This is about laying the foundation for a modern, AI-enabled HR function that is both deeply people-centric and laser-focused on organizational performance. Kudos to the authors: Julian Kirchherr, Vincent Bérubé, Charlotte Seiler, Dr. Kira Alexandra Rupietta, Kristina Stoerk, Nina-Marlene Senst, and Simon Gallot Lavallée. ...with rapid changes driven by gen AI and shifting skill needs, workforce planning must move beyond short-term staffing forecasts to include a longer-term view and future-scenario planning FIG 8: Engagement in workforce planning (Source: McKinsey) FIG 9: Predicted impact of gen AI on HR department (Source: McKinsey) ESER RIZAOGLU AND STEPHANIE CLEMENT - How CHROs Can Prepare Their Function and the Enterprise for AI Transformation CHROs play a key role in safely using AI at scale to deliver business outcomes. Recent research by Eser Rizaoglu and Stephanie Clement for Gartner provides a helpful roadmap for CHROs steering their organisations through AI transformation, by focusing on HR's pivotal role in shaping the future of work. The report highlights three key actions for CHROs to enable their organisation's AI approach: (1) Assist in delivering business outcomes using AI: Leverage GenAI for HR productivity first, then expand to drive enterprise-wide improvements with a broader AI portfolio. (2) Manage behavioural outcomes of AI: Cultivate a culture of innovation, build human-centred change management plans, and introduce new HR roles to foster human-machine partnerships. (3) Enable workforce readiness for AI: Implement AI literacy programs for all (see FIG 10), while targeting upskilling efforts on segments most impacted, building empathy, and tracking readiness indicators. For CHROs in Steady-AI-Pace organisations, the focus is on foundational AI literacy and policy. Those at an Accelerated-AI-Pace must deepen this by targeting high-impact workforce segments and deploying AI champions to drive effective, human-centric change. FIG 10: AI Literacy Program Roadmap (Source: Gartner) DAVE ULRICH - Navigating Eight Paradoxes of AI for HR When algorithms combine with human empathy, judgement, and creativity, sustained progress occurs. In his article, Dave Ulrich highlights eight paradoxes on the AI for HR agenda that he believes business and HR leaders need to navigate to move up the s-curve and waves of HR impact (see FIG 11) to deliver more value. As Dave explains: “Navigating (not just managing) paradox means highlighting and working through opposing ideas—each of which is valid—that combine to create more value.” The eight paradoxes identified in the article are: (1) AI and AI: Artificial Intelligence * Authentic Intimacy. (2) Remove jobs and redefine work. (3) Bottom line efficiency and top line growth. (4) Distribute and concentrate power. (5) Lower and increase risk. (6) Expand perspective and reduce cognition. (7) Provide answers and explore questions. (8) Isolate and connect. FIG 11: Five stages of AI for HR evolution (Source: Dave Ulrich) EMPLOYEE LISTENING, EMPLOYEE EXPERIENCE, AND EMPLOYEE WELLBEING JARED WEINTRAUB - A day in the life of a GenAI-enabled workforce Deloitte forecasts that 25 percent of companies currently using GenAI will launch agentic pilots this year, rising to 50 percent by 2027 Jared Weintraub, PhD, SPHR's article for Deloitte paints a tantalising picture of a 'Gen-AI enabled workforce,' showcasing how AI agents are already transforming our daily work. Through a fictional Fortune500 company, Jared brings to life three key personas: (1) New Hire (Riley): Experiences personalised onboarding, with AI agents helping her navigate culture and quickly excel in her role. (2) VP (Taylor): Sees optimised leadership workflows, receiving instant summaries, personalised action items, and even real-time feedback on calls. (3) CEO (Angelina): Gains powerful support for strategic decision-making, with AI agents providing real-time insights and even coaching for high-stakes events like public town halls. These examples demonstrate AI's profound potential not to replace workers, but to fundamentally enhance human potential, leading to a significantly improved employee experience where individuals, teams, and organisations can thrive and perform at their absolute best. Thanks to Brian Heger for highlighting in his excellent Talent Edge Weekly. WORKFORCE PLANNING, ORG DESIGN, AND SKILLS-BASED ORGANISATIONS SCOTT REIDA AND KRISTIN SABOE - Applying the Rule of 72 to Workforce Skill Obsolescence and Productivity Degradation Amazon's Scott Reida and Google's Kristin Saboe, Ph.D. introduce a powerful financial concept to HR: the "Rule of 72." Traditionally, it's a shortcut to estimate how long an investment takes to double, by dividing 72 by its annual growth rate. They ingeniously flip this, applying it to skill evolution: by dividing 72 by a role's weighted average 3-year Compound Annual Growth Rate (CAGR) of its skills, one estimates the "years to obsolescence" if no upskilling occurs. This provides critical directional clarity on how fast job competencies are shifting. Their framework, illustrated in FIG 12, categorises skills into four key zones: (1) Emerging (low adoption, high growth, representing the cutting edge). (2) Table Stakes (widely adopted, foundational must-haves with steady growth). (3) On the Cusp (moderate adoption, sustained expansion, offering long-term value). (4) Sunset (declining demand, requiring intentional upskilling). This enables smarter workforce planning. HR can now target training budgets where skill erosion is rapid, shifting from reactive to proactive strategies. It transforms talent into a dynamic portfolio , informing sharper hiring and career development in our accelerating world. FIG 12: Categorising skills into four key zones (Source – Scott Reida and Kristin Saboe) McKINSEY - The new rules for getting your operating model redesign right When people feel invested in and supported, they are more likely to embrace change, contribute meaningfully, and sustain the behaviors that drive long-term impact. New research from McKinsey updating their nine golden rules for operating model redesign, which finds that five original (evergreen) rules have stood the test of time while four new (evolved) rules have emerged (see FIG 13). The study identifies a key finding: redesign success jumps from 59 percent when using all nine original rules to 97 percent when using all nine in the refreshed set. The article also presents four broad redesign themes for leaders to focus on: (1) Create alignment among leaders and decision-makers, grounded in strategy. (2) Invest deeply in rewiring workflows. (3) Make significant investments in people. (4) Create a performance-oriented culture for durable impact. For Chief People Officers, the key takeaway is that they need to become the architects of dynamic, human-centric operating models. Their focus shifts from traditional talent management to proactively designing how work gets done, emphasising skills and capabilities over static roles. CPOs should also lead on ethical AI integration, foster a culture of continuous learning, and empower leaders. This creates a workforce built for perpetual reinvention, driving sustained value in an increasingly uncertain world. Kudos to the authors: Brooke Weddle, J.R. Maxwell, Tristan Allen, Deepak Mahadevan, Elizabeth Mygatt, and Olli Salo. FIG 13: The refreshed golden rules of organisational redesign (Source: McKinsey) LEADERSHIP, CULTURE, AND LEARNING JEFF WETZLER - The Right Way to Prepare for a High-Stakes Conversation Curiosity increases your ability to process new information and respond creatively to complex problems. It activates the brain’s learning and reward centers, increasing your capacity for insight and creative problem-solving. In his recent HBR article, Jeff Wetzler introduces a helpful concept for leaders: The Curiosity Check (see FIG 14). This diagnostic is designed to fundamentally shift your mindset from defensive certainty to productive curiosity, and so improve your effectiveness in high-stakes discussions and boost your influence. It’s all about unlocking crucial, often hidden, insights. Wetzler outlines three actionable steps: (1) Choose Curiosity Over Certainty: Actively ask yourself "What am I missing?" challenging your assumptions. (2) Make It Safe to Speak Up: Create an environment where people feel secure sharing their true thoughts, proving safety through action, not just words. (3) Pose Quality Questions: Shift from shallow or leading questions to open-ended, neutral, and deeper inquiries that encourage genuine reflection. Wetzler brings this to life with examples, highlighting how leaders often miss critical information when they assume team alignment, never probing for the "unspoken thoughts" that hold the real insights. This approach empowers you to tap into wisdom you might otherwise completely overlook. Thanks to Amy Edmondson for highlighting. FIG 14: The Curiosity Curve (Source: Jeff Wetzler) MCKINSEY RESEARCH AND INNOVATION LEARNING LAB – Reimagined: Development for the Future of Work – Evolving Trends in L&D Article | Full report Leaders must prepare for a future defined by radical candor regarding the impacts of AI on work and the workforce. The 2025 McKinsey Learning Perspective spotlights three interconnected themes crucial for people development in a rapidly changing world: (1) Fluid Development Ecosystems: Organisations must design work to be inherently developmental, shifting from rigid structures to dynamic, data-driven ecosystems. This means de-siloing HR functions and embedding learning into daily work, making growth continuous and seamless. The goal is to make daily challenges catalysts for growth, supported by real-time data and foresight. (2) Responsible AI Adoption: This defining moment demands leaders preserve employee trust by showing AI will help them thrive, not just automate work. It's about fostering powerful human-AI collaboration, offloading repetitive tasks to AI to unlock human creativity and higher-order skills. Responsible adoption hinges on equipping employees with uniquely human capabilities like critical thinking and judgment. (3) Resilient and Adaptable Individuals and Organisations: Thriving organisations anticipate challenges, adapt, and grow, building structural and cultural foundations for resilience. This involves unlocking the potential of diverse, multigenerational workforces, supporting recuperation to prevent burnout, and enabling organisational resilience through sustainable workflows. It means seeing resilience as a shared, cultivated capability, not just an individual trait. Read the article by Heather Stefanski, Benjamin Hall, Jake Gittleson, and Jessica Glazer, and then dive into the full report, which also includes contributions from the likes of Sandra Durth. DIVERSITY, EQUITY, INCLUSION AND BELONGING ROBERT D. AUSTIN, NEIL BARNETT, CHLOE R. CAMERON, HIREN SHUKLA, THORKIL SONNE, AND JOSE VELASCO - How Neuroinclusion Builds Organizational Capabilities Leaders should consider neuro-inclusion as a strategic capability-building opportunity rather than a diversity initiative In a rapidly evolving world, neuro-inclusion is emerging as a critical organisational capability, as highlighted by Robert Austin, Neil Barnett, Chloe Cameron, Hiren Shukla, Thorkil Sonne, and Jose Velasco in the MIT Sloan Management Review. This isn't merely a diversity initiative; it's a strategic imperative that unlocks competitive advantage by leveraging the rich, natural variation in human cognition. By intentionally designing processes for neurodistinct individuals, organisations can profoundly improve: (1) Hiring, by tapping into overlooked talent pools with unique skills (as seen with SAP attracting highly credentialed candidates often missed by traditional interviews); (2) Innovation, through diverse perspectives that spark novel solutions (Microsoft's Teams ‘Blur’ feature emerged from a neurodistinct engineer's insights); and ultimately, (3) Culture, by fostering a more adaptive and truly inclusive environment for everyone. As the article reveals, EY, Microsoft, and SAP are prime examples of organisations already reaping these benefits, demonstrating that embracing neurodiversity enhances collective intelligence and drives superior business outcomes. FRANK DOBBIN AND ALEXANDRA KALEV - Achieve DEI Goals Without DEI Programs Many management innovations designed to improve performance actually boost workforce diversity as well, without inviting the backlash of formal DEI programs. Frank Dobbin and Alexandra Kalev, in their recent HBR article, challenge the traditional view of DEI. They argue that as formal DEI programs face headwinds, HR leaders can still drive significant diversity, equity, and inclusion by focusing on high-performance management techniques that naturally foster inclusion and improve business outcomes, all without the ‘DEI program’ label. They highlight five powerful techniques and provide examples of how these have been implemented by companies: (1) Referral programs: Companies like Oracle use these effectively, often boosting representation organically. (2) Skills upgrading: Walmart exemplifies this, investing in employee upskilling that broadens opportunities for diverse talent (see FIG 15). (3) Mentoring programs: IBM has long leveraged robust mentoring to support career progression across all groups. (4) Scheduling flexibility and stability: Gap demonstrates how providing predictable yet flexible schedules empowers diverse workforces. (5) Performance-based retention: Amazon uses data-driven approaches to identify and retain top performers, inherently benefiting those who excel regardless of background (also see FIG 15). This approach embeds DEI within the fabric of how we manage and develop our people, making it an undeniable component of business success. It’s about doing good by doing well. FIG 15: Walmart and Amazon’s changing workforces (Source: Dobbin and Kalev) HR TECH VOICES Much of the innovation in the field continues to be driven by the vendor and analyst community, and I’ve picked out a few resources from July that I recommend readers delve into: LISA K. SIMON - How Much Is a Skill Worth? In her article, Lisa K. Simon, Chief Economist at Revelio Labs, presents the findings of a new paper, she co-authored with David Dorn, Ludger Woessmann, Moritz Seebacher and Florian Schoner, which finds that the number and type of skills workers report are strong predictors of how much they earn: “In fact, differences in skills predict earnings better than differences in education or past experience. Workers who list more skills tend to be in better-paid jobs. On average, each additional skill listed on a resume is associated with 0.67 percentage points higher earnings.” Another finding is that not all skills are valued equally, with occupation-specific and managerial skills providing the largest boost to income, while a higher prevalence of general skills is associated with lower earnings (see FIG 16). Thanks to Seth Hollander, MBA for highlighting the article and paper. Workers who list more skills tend to be in better-paid jobs. On average, each additional skill listed on a resume is associated with 0.67 percentage points higher earnings. FIG 16: Only having general skills on a resume is associated with lower earnings (Source: Revelio Labs) WARDEN AI - State of AI Bias in Talent Acquisition This is an excellent new report from Jeffrey Pole and the team at Warden AI, which provides a comprehensive and data-driven review of AI bias, compliance and responsible AI practices in talent acquisition – the area of HR, which perhaps has the most significant adoption of AI. With a foreword by Kyle Lagunas, and contributions from the likes of Hung Lee (see quote below) and Sarah Smart, Sultan Murad Saidov and Trent Cotton, key findings include: (1) 75% of HR leaders say bias is a top concern when adopting AI. (2) 15% of AI systems fail to meet fairness metrics for one or more demographic group. (3) AI scores 0.94 vs 0.67 for humans, outperforming on average across fairness metrics (see FIG 17). (4) AI is up to 45% more fair than humans for women and racial minority candidates. Congrats too to Jeff and the team for raising $1.6m in a recent funding round. We are right to worry about AI bias, but we should not forget that the baseline, human only judgment, is far from bias-free - Hung Lee FIG 17: AI outperforms humans across fairness metrics (Source - Warden AI, State of AI Bias in Talent Acquisition) COLE NAPPER - From HR Skills…to HR Jobs When new trends emerge at work, they are likely to first appear as skills. As skills evolve, they consolidate into job titles and full occupations. The prolific Cole Napper highlights Lightcast data to paint a compelling analysis on the journey of people analytics, workforce planning and talent intelligence from trends to skills to jobs: “When new trends emerge at work, they are likely to first appear as skills. As skills evolve, they consolidate into job titles and full occupations.” In the article, Cole presents data visualisations and analysis on how job postings mentioning each of the three skills fluctuated over time, how this translated into job titles, and the wage premium (see FIG 18) that these three categories have on HR salaries in general (on the theme of people strategy and analytics salaries, read this post by Pallavi Narang) Look out for Cole’s book, People Analytics: Using data-driven HR and Gen AI as a business asset, which is available for pre-order now ahead of being published on August 26. FIG 18: Median salaries in HR areas (Source: Lightcast) PODCASTS OF THE MONTH In another month of high-quality podcasts, I’ve selected four gems for your aural pleasure: (you can also check out the latest episodes of the Digital HR Leaders Podcast – see ‘From My Desk’ below): PETER FASOLO - Leading with impact as a chief human resources officer – In this must-listen episode of Capital H, Peter Fasolo, Ph.D., former chief human resources officer at Johnson & Johnson, joins host Kyle Forrest to discuss the power of systems thinking, board collaboration, aligning your people agenda with enterprise strategy, and more. ANGELA LE MATHON - AI-Native HR Operating Model & AI Agents for Skills/Tasks – The brilliant Angela LE MATHON joins Cole Napper to discuss how AI is transforming the work that people analytics does and how the function operates as well as envisioning a new AI-native operating model for HR. SVENJA GUDELL, BROOKE WEDDLE, AND BRYAN HANCOCK - What the labor market isn’t telling you—yet – Svenja Gudell, chief economist at Indeed, joins Brooke Weddle, Bryan Hancock, and host Lucia Rahilly, on an episode of McKinsey Talks Talent to help leaders make sense of the current collision of labour market trends: generative AI, agentic AI, an aging workforce, shifting priorities, and more. BEN WEIN – How Bristol-Myers Squibb used skills data to solve a life-or-death talent shortage – Ben Wein, Director of Workforce Skills Enablement at Bristol Myers Squibb, joins Julius Schelstraete ? on The TechWolf Podcast to share how BMS is becoming a skills-based organisation—starting with a business-critical talent shortage in cell therapy manufacturing. Ben explains how BMS uses skills data to drive faster hiring, smarter workforce planning, and ultimately, patient impact. VIDEO OF THE MONTH DJ PATIL - Data, Decisions, and the Future of Work: How AI and Curiosity Are Redefining Careers Many of the videos of the talks at the recent Wharton People Analytics Conference are now available on the Wharton School YouTube channel, including my talk on How Top Companies Scale People Analytics Adoption. There are some wonderful talks from the likes of Amy Edmondson, Ravin Jesuthasan, CFA, FRSA, Ben Waber, Karalee Close, Guru Sethupathy and Michael Fraccaro, but perhaps my favourite session of the two days was former US Chief Data Scientist DJ Patil’s fireside chat with Eric Bradlow on how firms can harness data science to navigate the future of work. They explore the evolving relationship between AI and human collaboration, the promises and pitfalls of algorithmic management, and how leaders can build ethical, resilient, and high-performing organizations in an increasingly data-driven world. BOOKS OF THE MONTH Given it’s the summer in Europe and North America, here are two books to read while you are getting some well-earned relaxation time: PETER HINSSEN – The Uncertainty Principle - Peter Hinssen's The Uncertainty Principle, his fifth book, is a vital read for HR leaders. It argues we're in a "Never Normal" world, where constant change is inevitable. Hinssen transforms uncertainty from a threat to an opportunity, urging us to move faster and think bigger. For HR, this means embracing ambiguity, leading cultural shifts, leveraging people data, and redefining talent and leadership for relentless evolution. It's about equipping our people to thrive and transform every challenge into a strategic advantage. For a preview of the book, I recommend Peter’s recent discussion with me on the Digital HR Leaders podcast: Uncertainty as an Opportunity: HR's role in Shaping the Future. JENNY DEARBORN AND KELLY RIDER - The Insight-Driven Leader: How High-Performing Companies are Using Analytics to Unlock Business Value - Jenny Dearborn, MBA and Kelly Rider's The Insight-Driven Leader is an inspirational guide to unlocking serious business value through people analytics. This book shows how to transform raw data into powerful workforce insights, solving critical challenges and driving success. You'll learn: (1) How to move beyond traditional rear-view HR metrics to actionable insights. (2) Real-life case studies from leading organisations, as well as cautionary tales. (3) Recommendations for becoming an insights-driven organization using workforce analytics. The book is a must-read for leaders aiming to align data with strategy and build a truly insight-driven culture. FROM MY DESK July saw four new episodes of the Digital HR Leaders podcast – all sponsored by our friends at Mercer (thanks IŞIL ÇAYIRLI KETENCI): ANSHUL SHEOPURI - How People Analytics is Powering Business Strategy - Anshul Sheopuri, Executive Vice President of People Operations & Insights at Mastercard, joins me for a conversation on how to embed analytics into enterprise-wide decision-making at scale. Thanks to Sasha Houlihan for organising. PETER HINSSEN - Uncertainty as an Opportunity: HR's role in Shaping the Future – As highlighted in the Books of the Month above, Peter Hinssen joined me to discuss what it really takes for HR to embrace uncertainty and lead in this era of the ‘Never Normal.’ RAVIN JESUTHASAN AND BRIAN FISHER - The Skills Revolution: Your Playbook for Workforce Agility – Ravin Jesuthasan, CFA, FRSA and Brian Fisher join me to explore why skills-based workforce planning has surged to the top of the HR agenda - and what leading companies are doing to turn intent into action. AMY BAXENDALE - How Arcadis Built a Skills-Powered Organisation – Amy Baxendale , Global Future of Workforce Director at Arcadis, provides a detailed guide on the journey the company has embarked to become a skills-powered organisation. The episode includes discussion on the business case, securing sponsorship, setting up governance, the partnership with Mercer and Eightfold, and the early benefits: We are early in the journey, but we are seeing some promising signs of progress. Our time to hire is trending downwards - that has a direct commercial impact for the business. We've also actually been able to calculate the financial impact of work that's being completed through gigs and show the actual impact on EBITDA LOOKING FOR A NEW ROLE IN PEOPLE ANALYTICS OR HR TECH? I’d like to highlight once again the wonderful resource created by Richard Rosenow and the One Model team of open roles in people analytics and HR technology, which now numbers over 525 roles with half of these being new. THANK YOU To HR magazine and Charissa King for including me again in their annual HR Most Influential list as one of the ten most influential practitioners The Talent Games for including the Digital HR Leaders podcast at #6 in its 27 Best Leadership Podcasts for HR Leaders. Steve Sands for including my work as part of his Human Resource Management Analytics night class at the National College of Ireland. A huge thank you to the following people who either shared the June edition of Data Driven HR Monthly and/or posted about the Digital HR Leaders podcast, conferences or other content. It's much appreciated: Emmanuel Duncan, Rob Baker, FCIPD, MAPP, Richard Hall, Robert Rogowski, Catherine de la Poer, Caroline Lambe, Jeremy Sholl, Narelle Burke, Edan Halili, Francesca Caroleo (SHRM-SCP, ICF-ACC), Uwe Gohr, Joseph Frank, PhD CCP GWCCM, Randeep Kaur, Aaron Chasan, Danial Singh Kang, Jorge-Luis Gonzalez, Anisha Moosaأنيشا موسى?????, Carlos Lopes, Danielle Farrell, MA, CSM, Kris Saling, Hiroyuki MIYAI, Ph.D., Yukiko Hosomi, Dr. Christoph Spöck, Joachim Rotzinger, Kevin Le Vaillant, Seung Won Yoon, Alexis Fink, Timo Tischer, Dr. Tobias Bartholomé, Jose Luis Chavez Vasquez, Meg Bear, Abhinav Tiwari, Esther Abraas, Gareth Flynn, Elizabeth Musso, Jana Glogowski, Maarten van Beek, K Nair, Joonghak Lee, Sameer Tahir, Robert Allen, Volker Jacobs, Bilal Laouah, Florent Maire, Oliver Kasper, Jaap Veldkamp, Patrick Coolen, Jeff Wellstead, Jean-Francois (Jeff) BOUBANGA MIGOLET, Dan George, Shujaat Ahmad, Alexandra Nawrat, People Edge Consulting Ltd., Andrew Spence, Roshaunda Green, MBA, CDSP, Phenom Certified Recruiter ?, Austin Brockert, MBA, Dan Riley, Sanja Licina, Ph.D., Anna A. Tavis, PhD, Stela Lupushor, Jeremy Shapiro, David Simmonds FCIPD, Catriona Lindsay, Aravind Warrier, Michael Arena, Greg Pryor, Isabella Cheshire, Amardeep Singh, MBA, Aline Costa, Anis Alexandros El Namparaoui, Adam Treitler, Helder Figueiredo, Sebastian Knepper, Sebastian Kolberg, Lewis Garrad, Kerry Ghize, Preetha Ghatak Mukharjee, Jacob Nielsen, Pete Jaworski, Søren Kold, Prabhakar Pandey, Avani Solanki Prabhakar, Ian Grant FCIPD, Erik Samdahl, Max Blumberg, Sergey Puchka, Romy Hobson, Bettina Dietsche, Hernan Chiosso, CSPO, SPHR ?, Paola Alfaro Alpízar, Sergio Garcia Mora, Hanadi El Sayyed, David van Lochem, Maria Nolazco Masson, David McLean, Clara W Estanqueiro, Shonna Waters, PhD, Kevin Martin, Kathi Enderes, Serena H. Huang, Ph.D., Smadar Tadmor, Tobias W. Goers ツ, Dr. Denise Turley AI.Impact.Equity, Stella Ioannidou, Apeksha Awaji, Evan Franz, MBA, L N Divya Mudundi, Ross Sparkman, Salman Farooq, Megan Reitz, Todd Tauber, Heather Muir, AJ Herrmann, Priyanka Mehrotra, Oliver Auty, Priya Subrahmanyan, Naotake Momiyama, Bill Banham, Matthew Yerbury, Prachi Agasti, Robin Haag, Fabian Stokes, MBA, SWP, Monika Manova, Barry Swales, Dean Carter, Ian OKeefe, Ying Li, Alexandre Monin, Mike Zarrilli, Natasha Fearon, Pedro Pereira, David Balls (FCIPD), Naomi Verghese, Geetanjali Gamel, Frankie Close, Warren Howlett, Stephanie Murphy, Ph.D., John Gunawan, Jesse Clark, MBA, Caitie Jacobson Mikulis, Meghan M. Biro, Dan Trares, Kouros Behzad, Kathleen Kruse, Nick Lynn, Mariana Allain Carrasqueira, Marina Pearce, PhD, Dawn Klinghoffer, Raquel Mitie Harano, Delia Majarín, Deborah M. Weiss, Courtney McMahon, Nirit Peled-Muntz, Hanne Hoberg, Adam McKinnon, PhD., Don Dela Paz, Matt Elk, Sophia Houziaux, Danielle Bushen, Nabil Dewsi, Sai Bon Timmy Cheung 張世邦, Dolapo (Dolly) Oyenuga Agnes Garaba, Wouter Minten, Olly Britnell, Nick Hudgell, Roxanne Laczo, PhD, Claire Masson, Daisy Grewal, Ph.D., Laura Cole, Brian Elliott, Erin Eatough, PhD Henrik Håkansson Gabe Horwitz Russell Klosk (智能虎) The final note this month is a sad one - rest in peace Diogo Jota and André Silva. ABOUT THE AUTHOR David Green ?? is a globally respected author, speaker, conference chair, and executive consultant on people analytics, data-driven HR and the future of work. As Managing Partner and Executive Director at Insight222, he has overall responsibility for the delivery of the Insight222 People Analytics Program, which supports the advancement of people analytics in over 100 global organisations. Prior to co-founding Insight222, David accumulated over 20 years experience in the human resources and people analytics fields, including as Global Director of People Analytics Solutions at IBM. As such, David has extensive experience in helping organisations increase value, impact and focus from the wise and ethical use of people analytics. David also hosts the Digital HR Leaders Podcast and is an instructor for Insight222's myHRfuture Academy. His book, co-authored with Jonathan Ferrar, Excellence in People Analytics: How to use Workforce Data to Create Business Value was published in the summer of 2021. MEET ME AT THESE EVENTS I'll be speaking about people analytics, the future of work, and data driven HR at a number of upcoming events in 2025: July 31 - August 1 - People Matters TechHR India 2025, Delhi August 13-16 - GCHRA Africa, Accra, Ghana (I will join virtually) September 25 - Visier Outsmart Local London, London October 7-9 - Insight222 Global Executive Retreat, Atlanta (exclusive to the people analytics leader in member companies of the Insight222 People Analytics Program®) October 15-16 - People Analytics World, New York October 21-22 - UNLEASH World, Paris November 12-13 - HR Forum 2025, Oslo More events will be added as they are confirmed.

Agentic AI
2025年07月27日
Agentic AI

前谷歌HR副总裁谈：AI不是“理解”人类，而是“预测人类”，Laszlo Bock谈职场的下一个十年挑战在2025年5月的一场广受关注的主题演讲中，前Google人力资源主管、Humu创始人Laszlo Bock分享了他对“AI如何重塑未来工作形态”的深度洞察。这不仅是一场关于技术的讲座，更是一份面向HR群体的战略警告和实践指南。他的核心论点可以归结为三点：AI并不真正“理解”语言，它只是预测下一句话最可能出现什么词；AI将迅速改变职场结构，尤其是初级岗位和事务性工作的消失；HR若不掌握数据能力和实验逻辑，将失去为员工发声和引导组织转型的机会。人类直觉无法判断AI边界：它看世界是“token”，不是意义 Laszlo用一个看似简单但极具颠覆性的观点开场：AI不是在“思考”，而是在“预测”。他指出，大型语言模型（LLMs）是通过将语言拆解成“token”（语言单位）进行训练的。这些模型并不具备语义理解能力，而是基于庞大的语料库，预测下一个最有可能的token。比如，当你问AI“生成一个1到100之间的随机数”，你可能经常得到“42”这个答案。这并不是因为42有任何数学意义，而是因为它在互联网上出现频率高——尤其是在大量关于《银河系漫游指南》的内容中。这种基于“频率预测”而非“逻辑理解”的模式导致AI具备一种“锯齿状的能力边界”——即它在某些任务上表现卓越，但在看似相似的任务上却经常出错。例如，它可以写出流畅的商业邮件，但无法准确区分事实与虚构；它可以写诗，但很难遵守准确的格式要求；它可以下棋，却经常做出输局的决策。正因为如此，我们人类在评估AI能否胜任某项任务时，往往会被自己的“直觉”误导。 AI提升了工作绩效平均值，但并不意味着每个人都会受益 Laszlo引用了BCG与哈佛商学院的联合研究，展示AI对员工绩效的实质影响。在这项研究中，团队设计了18种与真实工作情境接近的任务，从数据分析到创意思维，从说服性表达到战略建议。结果发现，当员工使用AI工具协助完成任务时，整体绩效水平显著提升，原本员工间28%的能力差距被缩小至5%。这意味着，未来的职场中，“差距”会被压缩，“平均”成为常态。听起来似乎是件好事，但Laszlo却抛出一个值得HR深思的问题：如果每个人都变得“高效”，组织会如何反应？是减少工时？提高薪酬？还是干脆将“平均线”当作新标准，进一步压缩人力成本？这并非杞人忧天。历史经验告诉我们，技术进步往往首先带来“效率红利”，但最终这些红利会在某些层级被资本所吸收，而不是自动回流到员工手中。职场结构正在重构：五类岗位首当其冲在对未来工作的预判中，Laszlo明确指出了五类岗位或将迅速减少，甚至消失。首先是离岸外包型工作。随着AI在数据处理、文档生成等任务中的普及，企业将更倾向于直接部署AI模型，而非将工作转包给人力成本较低的国家。其次是初级岗位，尤其是在咨询、银行、律师事务所等以“精英路径”著称的行业。大量初级岗位的主要任务是处理数据、制作PPT、整理分析报告，这些恰恰是AI擅长的内容。第三类是事务性小时工，例如快餐店点单员、呼叫中心客服等。这些岗位过去被认为是“不可被机器取代”的人机交互工作，如今正被AI语音助手、聊天机器人、自动点餐系统等迅速替代。第四，组织将逐渐发现一个更棘手的问题：中层管理人才短缺。Laszlo预测，未来4至7年内，具备协调能力、能带团队、能处理人际复杂问题的管理者将变得极为稀缺，因为AI可以替代事务执行，但无法承担信任建立、冲突调和、判断取舍等高度人性化的职责。最后，是那些“以为安全”的专业性岗位，例如金融分析师、法律助理、初级产品经理等。如果其主要职责是信息归纳与逻辑输出，同样处于AI威胁之下。 HR需重新定位：别再做“感觉派”，而要成为“实验派” Laszlo在演讲中特别点名了HR行业的一个致命短板：很多政策和项目的设计并没有建立在实证基础之上，而是靠“经验”与“感觉”。他列举了一些广泛存在的误区，例如：提高员工内推奖金，并没有显著提升推荐量；健康激励项目（如健身补贴）往往吸引的本来就是健康人；看重名校背景的招聘标准，与员工实际绩效无关，甚至有时是负相关；培训项目6个月后的绩效反而下降；要求员工返岗的政策，降低了满意度，但并未提升生产力。这些都说明，缺乏实验和数据支持的HR决策，可能带来反效果。因此，他呼吁HR团队要向科学靠拢，掌握A/B测试、因果验证、数据解读等基本实验方法。特别是在部署AI相关工具和流程时，必须通过“高质量实验”来判断其真正影响，否则就只是被技术牵着走。企业该如何准备？Laszlo提出六条实践路径为了帮助企业和HR真正应对AI带来的变革，Laszlo提出了六条务实的建议。这些建议并不需要企业“砸钱买AI”，而是聚焦于“组织能力”的构建。第一，清洗和集中数据。数据质量是AI成功的前提，脏乱差的数据只会导致错误的预测和决策。第二，建立统计和实验能力。无论是HR项目还是AI工具的效果评估，都必须靠科学实验说话。第三，设立“AI专责角色”。组织中应有一位专门负责AI探索的人，持续关注行业动态，并定期向管理层报告AI试点进展。第四，选择业务最痛的地方，或个人最热情的领域作为AI试点起点。这样更容易获得支持与反馈。第五，培养员工的学习能力，并将其作为招聘标准。因为我们无法预测未来五年最需要的技能，但可以培养出善于学习的员工。第六，保持耐心。AI转型不是一蹴而就的。强生公司就用了三年时间，通过系统实验才明确AI的价值落点。 HR的第二次“高光时刻”已到来 Laszlo的结尾令人动容。他说，疫情期间，HR成为企业最重要的部门之一——引导组织远程办公、调整政策、守护员工心理健康。今天，随着AI浪潮席卷而来，HR再次站在战略变革的第一线。而这一次，HR面临的不是临时危机，而是长期结构性重塑。一个真正成熟的HR团队，必须不仅能理解人，也要能理解技术；不仅能提出人本关怀，也能设计科学流程；不仅能代表员工发声，也能为组织盈利模式注入长期主义。这既是一份挑战，更是一份召唤。 AI时代来临，每一个组织都必须重新思考“人”的价值。而HR，正是那个最应该引领答案的人。 Laszlo Bock的这场演讲，值得每一位HR反复阅读、深入讨论，并在组织内部真正落地。如果你还没有准备好，不如从这六件事做起。如果你已经在路上，欢迎把这篇文章分享给更多同行，一起构建一个更智慧也更有人性的未来职场。备注： Laszlo Bock背景介绍：前 Google 全球人力资源高级副总裁（SVP of People Operations），Humu 联合创始人，已退出管理岗位，AI 与组织变革思想领袖。畅销书：《Work Rules!》（2015）

Agentic AI
2025年07月13日

Agentic AI

从招聘网站裁员，看美国就业市场的深层重构—AI主导招聘入口，蓝领市场韧性凸显，平台价值面临重估从招聘网站裁员，看美国就业市场的深层重构—AI主导招聘入口，蓝领市场韧性凸显，平台价值面临重估 2025年7月，日本人力资源服务巨头 Recruit Holdings 再次宣布重组其 HR 科技部门，裁员约1300人，约占该部门员工总数的6%。此次调整涉及旗下的 Indeed 和 Glassdoor，其中 Glassdoor 将正式并入 Indeed，原CEO也已确认将在10月离职，平台独立运营时代宣告结束。Recruit Holding的 CEO 也是目前Indeed 的CEO Deko 在发给员工的内部信中写道：“AI 正在改变世界，我们必须适应，并确保我们的产品能够真正为用户提供卓越体验。” 这已是 Recruit 旗下 HR 科技业务三年来的第三轮大规模裁员，自2023年以来，仅Indeed一家公司累计裁员人数就已超过4000人（2023年2200人，2024年1000人，2025年这次），影响范围涵盖全球产品、市场、人力资源及研发团队。然而，这场变动并非孤例，而是整个美国招聘科技行业深度震荡的缩影。招聘平台集体调整，传统模式遭遇全面冲击除了Indeed，行业内多个知名招聘平台也已陷入结构性困境。2025年6月24日，CareerBuilder 与 Monster Worldwide 的母公司 Zen JV, LLC 及其旗下9家子公司正式在美国特拉华州申请了Chapter 11破产保护，标志着北美招聘平台两大代表性品牌正式走向终章。此次破产涵盖包括 CareerBuilder、Monster Worldwide、CareerBuilder France、Monster Government Solutions、FastWeb、Luceo Solutions 等在内的10家实体。根据法院文件披露，Zen JV 负债总额高达5亿美元，主要集中在市场推广、技术服务、法律费用等长期应付款项，资产规模则不足1亿美元。更令人警醒的是，该集团已公开表示“当前无能力向普通无担保债权人偿付”，预计仅能在破产管理期间支付行政费用。这不仅是一场财务重组事件，更是AI技术变革与平台商业模式失灵交织下，传统招聘平台集体“退场”的标志性时刻。科技招聘平台 DICE 的母公司 DHI Group 也在6月宣布裁员约100人，占其总员工数超过30%。即便是公开市场上的幸存者，如 ZipRecruiter，也面临严重的增长压力。其股价在2021年上市初期曾达到每股24美元以上，而截至2025年7月，已跌至不足12美元，市值缩水超过50%。2024年年报显示，其营收同比下降近8%，净利润出现连续两个季度负增长。此外，大型招聘服务公司如 Randstad、Robert Half、ManpowerGroup 等，也都在2024年底至2025年初陆续下调年度营收预期。其中，Robert Half在其2025年Q1财报中明确指出“招聘需求持续低迷，白领岗位需求尤其不稳定”，并削减了近10%的内部招聘职位。白领岗位下滑，蓝领市场韧性仍在招聘平台的收缩，背后是白领岗位持续萎缩的宏观现实。根据 ADP 发布的2025年6月就业报告，美国私营部门当月净减少3.3万个岗位，为过去一年中最严重的月度下滑之一。而下滑的重点集中在信息、金融、教育与专业服务等“白领板块”。相对而言，蓝领市场仍表现出一定的韧性。数据显示，6月制造业新增岗位1.5万个，建筑业新增9000个，运输与仓储岗位持平或微增。Revelio Labs的职位发布数据也印证了这一趋势：截至2025年第一季度，白领岗位发布同比下降12.7%，而蓝领岗位下降幅度仅为11.6%。换句话说，并非整个就业市场都在收缩，而是招聘平台原本依赖最深的中高端白领市场正在发生结构性转移。同时，中小企业、制造业和本地化服务企业越来越倾向于通过私有化渠道或AI系统直接招聘，而非依赖传统平台。 AI招聘工具替代平台功能，入口权力正在迁移更具颠覆性的，是 AI 技术对招聘流程的全方位替代。Paradox.ai 等AI平台已将简历筛选、候选人沟通、面试安排等环节自动化运行，企业平均可节省5至7天的招聘周期，并显著降低人工操作成本。 SmartRecruiters 在2025年初推出的 Winston 平台，更是几乎实现了招聘流程的全链路自动化，从岗位描述生成、候选人匹配到跟进面试与录用，全程无需人工介入。而 Shopify 的招聘政策则更具象征意义：管理者必须先证明“AI无法完成任务”，才被允许新增人力岗位。这种“AI优先”模式正在快速扩展至大型科技公司、远程组织和新兴初创企业。这一切都对传统招聘平台构成根本性挑战。当企业可以通过AI系统在内部完成筛人、沟通、反馈等流程，是否还需要Indeed、Monster、CareerBuilder这样的“二手中介”？自带人才资源的AI平台，正在绕过传统招聘入口与招聘网站不同，以 HireEZ 为代表的 AI 主导型 sourcing 平台，正通过“自带人才图谱 + 主动推荐 + 多渠道触达”模式，直接打通企业招聘链条的前段。其最新推出的 Agentic AI 产品线，不仅能智能生成职位描述和人才画像，还能根据职位动态自动搜索全球超过8亿候选人的数据池，并通过多渠道（如邮件、LinkedIn、GitHub）实现个性化触达。这类平台的核心优势在于：不依赖传统“发布-等待”的流量机制，而是主动“找到人、联系他、推动转化”，显著缩短招聘流程，尤其适用于技术、销售、医疗等“高需求+人才稀缺”岗位。 HireEZ 并非个例。Entelo、SeekOut、Findem、Fetcher 等新一代 sourcing tech 公司，纷纷布局 AI Agent 能力，试图将“招聘入口”从平台导流转为“搜索+自动跟进+分析”的闭环式体验。这类产品的崛起正在清晰传递一个信号：企业并不一定非要依赖招聘网站，只要能高效获取人、联系到人、推进流程，平台不再是唯一通道。平台价值重估：从流量生意转向数据能力过去二十年，招聘平台依靠“职位广告+简历流量”的商业模式稳居入口地位。但今天，企业不再需要依赖外部平台筛选简历，也不再需要为“曝光”买单。随着招聘数字化、AI自主化程度的提升，平台的价值正在从“渠道聚合”向“数据能力、系统协同”迁移。Recruit的整合动作正体现了这一趋势：通过将Glassdoor并入Indeed，集中资源打造AI招聘系统，并将“品牌+技术+用户行为”打通，才可能形成下一阶段的增长支点。平台如果不能在AI系统中扮演“操作系统”角色，或在某一垂直行业构建高门槛的专业壁垒，将极易被AI招聘助手、私域SaaS系统所取代。未来的招聘入口，将由AI定义从表面看，这一轮平台裁员潮似乎只是经济寒冬下的被动收缩。但更深层的信号是：招聘的入口权正在从平台转向AI，从流量转向系统，从广告转向数据。白领招聘正逐步走向智能化，蓝领招聘则重回本地化和平台外部化。传统平台的中介属性正在被解构，取而代之的是“流程引擎”和“智能交互”的新角色。 AI不会完全取代招聘行业，但它一定会取代那些缺乏AI能力、无法重新定义自身价值的招聘平台。

Agentic AI
2025年07月12日
Agentic AI

David Green: The best HR & People Analytics articles of June 2025 AI is reshaping industries, companies, workforces and the way we work. As with previous industrial revolutions, this will mean that companies will need fewer people to perform some tasks, and more people to undertake other (including many new) tasks. Amazon CEO, Andy Jassy, addressed this very topic in a recent message to Amazon’s employees while recent remarks by Dario Amodei, CEO of Anthropic, that AI could wipe out half of all entry-level white-collar jobs — and spike unemployment by 10-20% in the next one to five years have been widely reported. The truth is that it is probably too early to judge how this will play out over time, and whether this industrial revolution will differ from all others in history by being a net destroyer rather than a net creator of jobs. Whatever direction we go in, it’s clearly going to be a disruptive few years ahead. HR needs to play an active role in terms of leading organisational transformation, redesigning work, upskilling the workforce, building a culture of continuous agility, and transforming the HR function itself. HR can be the crucial link ensuring employees can thrive alongside technology. This month’s collection of resources addresses many of these topics, and if I could highlight one in particular, it would be a new Stanford paper on the Future of Work with AI Agents, which amongst other findings lays out a framework for human-agent collaboration. Enjoy! This edition of the Data Driven HR Monthly is sponsored by our friends at Draup Prepare your workforce for the AI Era Prepare your workforce for the AI era | Strategic HR Insights | Etter Etter is Draup’s flagship AI transformation engine designed to help enterprises systematically reimagine job roles, skills, and workforce structures in the AI era. Built as an adaptive, modular solution, Etter integrates proprietary labor intelligence, enterprise data, and market signals to provide hyper-contextual, execution-ready recommendations for HR and business leaders. Etter’s methodology is anchored on three foundational pillars: Draup Models: This includes the Role Disruption Index, Workload Disaggregation, Skills Evolution, and Talent Density Models to identify which roles are most susceptible to AI disruption, what tasks can be automated or augmented, and how skills are shifting across industries. It generates AI-ready job descriptions and quantifies AI’s productivity and time-saving impacts at a task level. Agentic Workflows: These simulate real-time strategic decisions—like reskilling paths, CoE creation, and role redesign—tailored to the organization’s structure, metrics, and technology ecosystem. They dynamically adapt to changes in business strategy or external environments such as regulatory shifts. Sustainability Engine: Ensures responsible transformation by embedding fairness, inclusion, and long-term workforce resilience into every recommendation. Real-time dashboards track transformation maturity and enable scenario planning to balance automation with talent retention. The document details advanced models like Tech Stack Mapping, Similar Role Identification, and Location Optimization to help organizations design AI-augmented ecosystems. It also outlines the data needed—from job descriptions to transformation signals—and a 4–6 week pilot approach to assess 10–12 roles for quick wins. Etter moves beyond theoretical AI strategy to deliver measurable, role-level change—empowering CHROs, CTOs, and transformation teams to redesign workforces that are future-proof, agile, and ethically AI-enabled. Learn more about Etter here. To sponsor an edition of the Data Driven HR Monthly, and share your brand with more than 140,000 Data Driven HR Monthly subscribers, send an email to dgreen@zandel.org. Invitation: If you are a people analytics leader, participate in the 6th annual Insight222 People Analytics Trends survey... The Insight222 People Analytics Trends study is now in its sixth year, and has grown to be the biggest and most important annual study in the field of people analytics. The survey for 2025 is open, and is intended to gain insights into: (1) HR's role in shaping your AI strategy. (2)AI usage & adoption (3) Upskilling and enabling factors, and AI outcomes If you are the people analytics leader at your company and would like to participate in the People Analytics Trends study for 2025, click this link and please join over 400 companies and complete the survey by the new closing date of July 6. JUNE ROAD REPORT A trio of highlights from June: I finally got to attend TALREOS, which is curated and organised annually by Deborah M. Weiss and Derek Gundersen at Northwestern in Chicago. It proved to a memorable three days, with 200 participants and plenty of learning, collaboration and networking. I had the privilege of speaking on two panels. The first, hosted by the inimitable Ian OKeefe, and also featuring Dan Trares, Nicholas Garbis and Cole Napper, discussed how to build a successful people analytics function. The second, which I moderated, and featured Dean Carter, Courtney McMahon and Ryan Colthorp, discussed the critical topic of how to create and measure the value of people analytics. Participants at TALREOS 2025 From Chicago, it was a short hop to Toronto for the first ever Canadian Peer Meeting for 40 members of the Insight222 People Analytics Program, which was hosted by Don Dela Paz and the team at RBC. Speakers over the two days included Don as well as Ujjwal Sehgal, Maria Grazia (Grace) Guma, Rachel Beaulieu-Salamido, Kunal Thakkar, MS, PMP, Rob Dees, Travis Windling, Patrick Joseph Tuason, David Holmes, Foteini Agrafioti and Arjun Asokakumar, MMA, CHRL. Participants at the Insight222 Peer Meeting at RBC in Toronto, June 2025 Finally, last week saw David Duewel and his team at BT Group host a Peer Meeting for more than 60 European members of the Insight222 People Analytics Program in London. Speakers over the two days included: Elaine Bergin, Julie-Anne Sivajoti, Fiona Vines, Stefaan De Keyser, Julien Legret, Stefanos Adamantiadis, Nick Hudgell, Mariana Allain Carrasqueira, Olly Britnell and Ashar Khan. Across all three events I left with a number of reflections including: (1) When people analytics is closely with business strategy it delivers exponential value. (2) AI is elevating and disrupting people analytics in equal measure. (3) Employee listening is the 'human' face of people analytics. Just to highlight to my Indian network and readers that I'm speaking at TechHR India 2025 in Delhi, which is organised by People Matters, at the end of July. I'll be delivering a keynote on July 31 after a pre-conference workshop on July 30 on The Science of Better Decisions - I hope to see some of you there. Share the love! Enjoy reading the collection of resources for June and, if you do, please share some data driven HR love with your colleagues and networks. Thanks to the many of you who liked, shared and/or commented on May’s compendium. If you enjoy a weekly dose of curated learning (and the Digital HR Leaders podcast), the Insight222 newsletter: Digital HR Leaders newsletter is usually published every other Tuesday – subscribe here – and read the latest edition. HYBRID, GENERATIVE AI AND THE FUTURE OF WORK IBM - 5 Mindshifts to Supercharge Business Growth It’s no longer a question of whether to use AI—but where AI will give you the greatest lift and how you should redeploy your people to accelerate growth. IBM’s recently published 2025 CEO Outlook is required reading for all chief people officers and heads of people analytics. The study highlights that talent recruiting and retention is ranked #2 in the top challenges of CEOs (see FIG 1). The report highlights five mindshifts to supercharge growth in the age of AI – all of these apply for HR too: (1) Make courage your core (“The power and potential of AI is pushing organizations to transform faster, even if they’re not sure what exactly what that entails.”) (2) Embrace AI-fuelled creative destruction (“Establish metrics and monitoring systems to assess AI effectiveness and create a culture of accountability.”) (3) Cultivate a vibrant data environment (“Start with data. If CEOs get their data environment right, they can accelerate change, impact, and stakeholder value.”) (4) Ignore FOMO, lean into ROI (“Only 25% of AI initiatives have delivered expected ROI—and only 16% have scaled enterprise-wide. Fail fast and move on.”) (5) Borrow the talent you can’t buy: CEOs are looking to reskill the talent they already have (build), hire the talent they need (buy), add AI assistants and agents to workflows wherever they can (bot), and rely on partners to borrow what they can’t find another way (borrow). FIG 1: Top CEO Challenges 2025 (Source: IBM Institute for Business Value) MCKINSEY - Seizing the agentic AI advantage To realize the potential of agents, companies must reinvent the way work gets done—changing task flows, redefining human roles, and building agent-centric processes from the ground up. According to McKinsey, there is a ‘GenAI paradox’ with nearly eight in ten companies reporting they are using Gen AI—yet just as many reporting no significant bottom-line impact. To break out of this morass, the authors argue that Agentic AI—autonomous, goal-oriented systems—is the true game-changer, poised to automate complex processes and fundamentally transform workflows. For HR leaders guiding workforce transformation, the core insight of the study is profound: successful integration means redesigning work around AI agents, not merely layering AI onto old processes. This strategic pivot promises enhanced operational agility, accelerated execution, and newfound organisational resilience. However, realising this potential hinges on critical human factors. Driving adoption and earning trust are paramount, alongside robust governance for agent autonomy. This necessitates a shift from fragmented AI initiatives to strategic, cross-functional programs, coupled with significant upskilling across the workforce. While the article doesn't explicitly detail the Chief People Officer's role, the implications are clear: HR must champion the human-AI partnership, ensuring ethical deployment and preparing talent for this profound evolution of work. Kudos to the authors: Alexander Sukharevsky, Dave Kerr, Klemens Hjartar, Lari Hamalainen, Stéphane Bout, and Vito Di Leo, with Guillaume Dagorret. HR must champion the human-AI partnership, ensuring ethical deployment and preparing talent for this profound evolution of work. FIG 2: Maximising value from AI agents requires process reinvention (Source: McKinsey) STANFORD - Future of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce Project | Paper | COBUS GREYLING - The Future of Work with AI Agents — Insights from a Stanford Study | SERENA HUANG - AI Agents Are Ready to Work With Us, but Are We Ready to Work with Them? [As] AI agents start to enter the workforce, key human competencies may be shifting from information-processing skills to interpersonal and organizational skills. For anyone looking to understand how the AI agents might shape the future of work, I recommend diving into a new study from Stanford University – warning, you may get lost as the paper is absorbing! The paper presents a framework, the Human Agency Scale (HAS – see FIG 3), which has a five-level scale from H1 (no human involvement) to H5 (human involvement essential) and is designed to help quantify the desired level of human involvement across various tasks. Other findings from the study include: (1) Lack of trust (45%) is the most common fear workers have about AI automation in their work. (2) Workers want automation for low-level and repetitive tasks with 46.1% expressing positive attitudes towards AI automation. (3) Workers generally prefer higher levels of human agency, potentially foreshadowing frictions as AI capabilities advance. Kudos to the authors of the Stanford Study: Yijia Shao, Humishka Zope, Yucheng Jiang, Jiaxin Pei, David Nguyen, Erik Brynjolfsson, Yang Diyi. I also recommend the shorter and more accessible summaries of the key findings from the paper and their potential implications by Cobus Greyling and Serena H. Huang, Ph.D. (see links above) as well as Ross Dawson (see here). FIG 3: Levels of Human-Agency scale (Source: Stanford University, Shao et al) PETER CAPPELLI AND RANYA NEHMEH – Hybrid Still Isn’t Working | BRIAN ELLIOTT - When Academics Ignore Research (and Reality) The contentious debate about the merits – or otherwise – of hybrid work continues as these two articles demonstrate. Firstly, in their article for Harvard Business Review, Peter Cappelli and Ranya Nehmeh present the case that hybrid is harming collaboration, deepening social isolation, weakening culture, and is leading to lower performance. They argue that this is primarily because of the way that many companies manage hybrid and remote workers: “You can’t effectively manage remote and hybrid workers using the same methods you did when employees were still all together in the office.” They then suggest eight strategies including: creating and enforcing rules, revamping performance appraisals, and establishing in-office anchor days. Brian Elliott, who along with the likes of Nick Bloom (see latest WFH Research here) and Annie Dean (listen to my podcast discussion with Annie on using behavioural science for distributed working) is one of my go-to experts on hybrid and distributed work, provides a 'teardown' (his words!) of Hybrid Still Isn’t Working. He examines some of the research cited in the HBR article and compares this to the available data e.g. contrary to everyone going back to five days in the office, Brian highlights Flex Index data (see FIG 4) showing that hybrid dominates at 43% of firms. Brain also highlights that the article ignores research on return to office mandates such as: “no financial benefit, no stock market boost, but declining engagement and retention issues among experienced talent and women at 3X the rate of men.” I’ll let readers make their own minds up but recommend that any companies considering a change in their approach analyse their own data and make considered decisions. As Brian concludes in his article: Instead of debating days per week, focus on what drives results: clear team goals, intentional collaboration rhythms, and management practices that work anywhere. The magic isn't in the location—it's in how well you lead distributed teams doing complex work. FIG 4: Structured Hybrid continues to dominate as the preferred work model for US companies (Source: Flex Index) PEOPLE ANALYTICS MICHAEL ARENA AND AARON CHASAN - The social signals behind employee retention Research has long shown that employees at the center of an organizational network—those with many active connections—are 24 percent less likely to leave. In their article, Michael Arena and Aaron Chasan highlight an important insight: employee connection, not just engagement, is the true bedrock of retention: “In today’s networked workplace, social withdrawal is often the first—and most reliable—indicator that someone’s already halfway out the door.” For HR to genuinely impact business performance and employee experience, we must leverage social signals to build robust internal networks. The authors outline four high-impact ways HR can proactively employee connection and significantly reduce attrition: (1) Utilise network analysis: Identify early flight risks by spotting employees with few or declining connections. (2) Facilitate connection moments: Deliberately create opportunities for interaction, especially in hybrid settings, using tools like interest-based matching. (3) Support relationship-rich teams: Encourage cross-functional initiatives and invest in psychologically safe team cultures. (4) Routinely pulse central employees: Their engagement profoundly influences the entire network. In today’s networked workplace, social withdrawal is often the first—and most reliable—indicator that someone’s already halfway out the door. PIETRO MAZZOLENI AND ERIC BOKELBERG - The right owner, the right impact: mastering people analytics accountability Clear ownership ensures that sensitive data is handled responsibly, analytics initiatives are aligned with business priorities, and AI solutions deliver trustworthy, actionable insights. Pietro Mazzoleni and Eric Bokelberg provide guidance on mastering people analytics by defining clear ownership – a cornerstone for unlocking business value from people data. Many organisations falter due to unclear accountability, risking inefficiencies and mistrust. Pietro and Eric outline four essential domains for assigning ownership: (1) Data Governance. (2) Stakeholder Management. (3) Data & AI Platforms. (4) Functional AI. They then recommend ownership across five key functional roles: the People Analytics Team, CHRO and HR Leadership Team, Business Function Leaders, Chief Data Office, and IT/AI Technology Team. By aligning accountability with expertise, HR leaders can ensure data is handled responsibly, initiatives drive strategic priorities, and AI delivers trustworthy, actionable insights, ultimately generating real business impact. LUDEK STEHLIK AND COLE NAPPER - Beyond Prediction: Exploiting Organizational Events for Causal Inference in People Analytics | KEITH MCNULTY – R for People Analytics | MARIA NOLAZCO MASSON - The People Analytics Staircase | PATRICK COOLEN – People Analytics Spotlight: Oliver Kasper, Giovanna Constant, and Marcela Mury In each edition of the Data Driven HR Monthly, I feature a collection of articles by current and recent people analytics leaders. These are intended to act as a spur and inspiration to the field. Four are highlighted in this month’s edition: (1) Ludek Stehlik, Ph.D. and Cole Napper examine one of the Holy Grails of people analytics – understanding causality, including exploring why randomised experiments (see FIG 5) are the ‘gold standard’ (but rarely feasible), and how real-world organisational events can be used as natural experiments. (2) Keith McNulty offers a set of open source materials for a 2-day course on explanatory technical methods in People Analytics using R. (3) For anyone early in their people analytics career and looking to accelerate their development, I recommend diving into Maria Nolazco Masson’s excellent series: The People Analytics Staircase, which provides a practical framework to advance in People Analytics, from foundational concepts to deep strategic dives. (4) Finally, in this section, I recommend checking out Patrick Coolen’s excellent People Analytics Spotlight Series, which to date has insights from Oliver Kasper, Giovanna Constant and Marcela Mury. FIG 5: Randomised controlled trial (Source: Simply Psychology) THE EVOLUTION OF HR, LEARNING, AND DATA DRIVEN CULTURE MICHELLE CHAN CROUSE, TED MOORE, ANNA PENFOLD, BRAD PUGH, AND ALISON HUNTINGTON - The CHRO of the future: How CHROs and organizations can prepare for what’s next The CHRO role is no longer just about managing human capital—it's about unleashing the potential of your workforce, whether they’re a human or a bot. This report by Russell Reynolds Associates dissects the evolving role of the Chief Human Resources Officer (CHRO) and provides a helpful guide on how the CHRO can lead workforce transformation. It is structured into three chapters: (1) How the CHRO role has changed: highlighting the CHRO's transition from operational support to a strategic leader, now deeply embedded in C-suite succession, transformation, and even technology, crucial for organisational stability. (2) Who will be the CHROs of the future? capturing the need for a new CHRO profile, demanding broader strategic, technological, and operational experience beyond traditional HR, coupled with acute emotional intelligence to navigate complex stakeholder landscapes. This chapter also highlights new roles and responsibilities that may emerge in the HR function including a ‘Chief HR Bot’ reporting to the CHRO and responsible for data-driven decision making. (see FIG 6). (3) How CHROs and organisations can prepare for the future: with actionable guidance, emphasising the responsible integration of AI, significant investment in HR data and analytics, and clear communication around workforce transformation, ultimately elevating HR's strategic influence. This analysis by Michelle Chan Crouse, Ted Moore, Anna Penfold, Brad Pugh and Alison Huntington reinforces that the future CHRO is a critical architect of business success, leveraging data and strategic acumen to shape adaptive, resilient organisations. FIG 6: Potential roles in the HR team of the future (Source: Russell Reynolds) DAVE ULRICH, DICK BEATTY, AND PATRICK WRIGHT - What Competencies Define an Effective HR Professional? Past, Present, and Future In their article, Dave Ulrich, Dick Beatty, and Patrick Wright analyse a number of different HR competency models including their own, which has been developed through eight studies since 1987 across 120,000 participants. Their analysis leads them to recommend expected and emerging competencies across six HR skills domains (see FIG 7): (1) Accelerate business, (2) Advance human capability, (3) Make change happen, (4) Use GenAI and analytics for information, (5) Create organisation culture, and (6) Demonstrate personal proficiency. For HR leaders and professionals looking to learn more, I recommend learning about the Global HR Learning Experience programthat Dave, Dick and Patrick have developed. FIG 7: Expected and emerging competencies for HR professionals (Source: Dave Ulrich et al) WORKFORCE PLANNING, ORG DESIGN, AND SKILLS-BASED ORGANISATIONS JEN STAVE, RYAN KURT AND JOHN WINSOR – Agentic AI is Already Changing the Workforce AI agents are fast becoming much more than just sidekicks for human workers. They’re becoming digital teammates—an emerging category of talent. The advent of Agentic AI is no longer a distant future; it's here, fundamentally reshaping our workforce. In their article, Jen Stave, PhD, Ryan Kurt and John Winsor explain that these autonomous, goal-oriented AI systems aren't just tools; they're becoming digital colleagues, capable of complex tasks and decision-making. For HR and business leaders, this demands a seismic shift in how we approach talent, roles, and organisational design. The article outlines seven critical actions to help your organisation thrive: (1) Map work tasks and outcomes (“Deconstruct each role or project into its component tasks and outcomes.”) (2) Assess AI capability. (3) Integrate your hybrid team (“Develop a hybrid-workforce strategy to define which tasks AI will own, which tasks people will own, and how the escalation of problems should happen.”) (4) Redesign your business and workforce model (“Envisioning new ways to procure and deploy talent, including full-time employees, temporary hires, freelancers and AI.”) (5) Set legal and ethical ground rules. (6) Capture value continuously as it evolves. (7) Remain human-centric (“AI reduces the need for people to conduct mundane tasks and elevates the importance of high-value, human-led tasks.”). For more from John Winsor, I recommend listening to his conversation with me on the Digital HR Leaders podcast: Addressing the Global Skills Shortage with Open Talent Strategies. EMPLOYEE LISTENING, EMPLOYEE EXPERIENCE, AND EMPLOYEE WELLBEING MICROSOFT WORK TRENDS INDEX - Breaking down the infinite workday The future of work won’t be defined by how much drudgery we automate, but by what we choose to fundamentally reimagine. In this follow-up to their recently published 2025 Work Trend Index Annual Report, this article from Microsoft exposes the modern "infinite workday" – a relentless cycle starting pre-dawn, peppered with incessant emails and messages, hijacked by meetings, and relentlessly spilling into evenings and weekends (see FIG 8). It's a chaotic, fragmented existence that HR leaders, focused on productivity and wellbeing, must address. The critical insight is that AI demands rethinking how work is structured and experienced. This isn't about simple automation; it's about fundamentally redesigning the rhythm of work. The article proposes a clear "path forward" with three vital starting points: (1) Follow the 80/20 rule: Leverage AI to streamline low-value tasks, allowing focus on the 20% that drives 80% of outcomes. (2) Redesign for the Work Chart: Shift from static teams to agile, outcome-driven units, using AI to bridge skill gaps. (3) Become an agent boss: Empower employees to utilize AI agents to supercharge their work and focus on high-quality insights. While the article itself doesn't explicitly detail the opportunity for HR and People Analytics to lean in and shape this future, the implications are clear: these functions are pivotal in orchestrating this transformation, ensuring a focused, productive, and ultimately more human-centric work environment. FIG 8: The infinite workday bleeds into evenings and weekends (Source: Microsoft Work Trends Index) LEADERSHIP, CULTURE, AND LEARNING MEGAN REITZ AND JOHN HIGGINS - Create Mental Space to Be a Wiser Leader We live in complex times that demand complex thoughts and conversations — and those, in turn, demand the very time and space that is nowhere to be found. In their article for MIT Sloan Management Review, Megan Reitz and John Higgins explain the need for leaders and workers to balance ‘doing’ and ‘spacious’ modes (see FIG 9) and present their research that finds in our rush to do more we’re losing the critical space to think deeply. This has a detrimental effect on leadership and organisation effectiveness. In order to help leaders develop the capacity for the spacious mode, the authors present their SPACE Framework (Safety, People, Attention, Conflict, Environment). By consciously creating environments that foster reflection and broader thinking, HR can empower leaders to transcend short-term noise, perceive critical interdependencies, and ultimately drive superior business outcomes and a more human-centric employee experience. FIG 9: The Attentional Mode Framework (Source: Reitz and Higgins) ROB CROSS AND MOLLIE LOMBARDI - Leading from Anywhere: Driving Results in the Age of Distributed Work Improving the performance of bottom-quartile leaders yields a 32% productivity impact. In their recently released study for The Institute for Corporate Productivity (i4cp), authors Rob Cross and Mollie Lombardi highlight that leading distributed work is a greater challenge than is commonly acknowledged. While 86% of organisations say work has become more distributed, 58% of leaders admit they are only "somewhat" effective in this new environment, which increases burnout and limits productivity. The paper identifies six capabilities of leadership effectiveness of top-performing leaders that help employees thrive in a distributed work environment (see FIG 10). Three other key insights from the report are: (1) Fix the bottom, not just the top: Elevating poor managers to just average can result in a 32% productivity gain—and a 33% boost in engagement. (2) Culture is the new productivity engine: Leaders who curate healthy team cultures see a 34% overall market performance lift. (3) Distribute leadership, not just work: Empowering teams with ownership and shared leadership responsibilities is key to sustainability and innovation. Thanks to Heather Muir and Kevin Oakes for highlighting the study. FIG 10: Capabilities that most distinguish high-performing leaders (Source: i4CP) KATHI ENDERES AND STELLA IOANNIDOU - Pacesetters in the Superworker Era: The Six Secrets of High-Performing Organizations Pacesetters are reimagining HR through systemic approaches that integrate talent management, workforce planning, and organizational development to drive AI-powered transformation Kathi Enderes and Stella Ioannidou present the findings from a four-year collaborative study between The Josh Bersin Company and Eightfold, which analyses the leadership and HR strategies of ‘Pacesetter’ companies - the top 5% performers in every industry – with regards to AI transformation. The article – and paper – identifies six secrets as being key to AI transformation, which these companies approach as a people – rather than technology – transformation: (1) AI Transformation for Growth, Not Cost Control (“[Pacesetters] use AI to improve forecasting, personalize the employee experience, and significantly boost productivity across the enterprise”). (2) Continuous Innovation at the Core (“Pacesetters embed innovation skills, experimentation platforms, and design thinking capabilities across the entire organization”). (3) Productivity-Based Work Redesign (“Instead of layering new tools on top of old workflows, they strip out bureaucracy, clarify accountability, and focus on high-value, meaningful work”). (4) Talent Density: Skills Quality over Quantity (“[Pacesetters] continuously redesign work: removing friction, unlocking capability, and structuring around value rather than legacy” – see FIG 11). (5) From Change Management to Change Agility (“Pacesetters excel at identifying and nurturing the skills needed to navigate change, ensuring their workforces are equipped to adapt to new technologies and processes”). (6) Systemic HR®, Powered by AI (“Pacesetters are reimagining HR through systemic approaches that integrate talent management, workforce planning, and organizational development to drive AI-powered transformation”). FIG 11: The Four Stages of Work Redesign (Source: The Josh Bersin Company) DIVERSITY, EQUITY, INCLUSION AND BELONGING CURTIS L. ODOM, CHARN P. MCALLISTER, AND RYAN SOFFER - Why Belonging Matters More Than Just Diversity When leaders commit to fostering a culture of belonging, the connection between management practices and diversity-related outcomes becomes clearer In their article for MIT Sloan Management Review, Curtis Odom, Ed.D., Charn McAllister and Ryan Soffer argue that belonging and psychological safety are the true strategic goals of DEI. For HR leaders focused on impact, this is key. The authors critique the common misstep of viewing diversity as an end in itself, stressing that its value only materialises when people feel genuinely included and safe. Crucially, it outlines three targets for effective DEI. First, establishing belonging and psychological safety as the ultimate aim. Second, urging organisations to move beyond single-approach diversity practices, advocating for a multifaceted, integrated strategy. And third, emphasising the need for persistence to sustain diversity efforts through consistent, long-term action. This isn't just about ticking boxes; it's a strategic imperative for HR to unlock human potential, drive innovation, and deliver tangible business outcomes through a truly inclusive culture. HR TECH VOICES Much of the innovation in the field continues to be driven by the vendor and analyst community, and I’ve picked out a few resources from June that I recommend readers delve into: GABE HORWITZ – The Evolution of the People Analytics Leader - In a great post, Gabe Horwitz of Paradox, breaks down the evolution of the people analytics leader from ‘The Data Analyst’ of 2020 to ‘The Decision Architect’ of today (see FIG 12). FIG 12: The evolution of the people analytics leaders (Source: Gabe Horwitz) RICHARD ROSENOW - The Uncharted Path of a People Analytics Career - Richard Rosenow examines what a career in people analytics looks like (see FIG 13), why the path to leadership is still mostly undefined, why it's hard to grow and provides some tips on how to overcome these challenges. FIG 13: The People Analytics Leader's Journey (Source: One Model) ZANELE MUNYIKWA - White-Collar Workers Are Getting the Blues – Zanele Munyikwa shares more insightful research from Revelio Labs highlighting a slowing of demand and stagnating wages for white collar jobs with the latter being more pronounced for early career roles (see FIG 14). FIG 14: Wage stagnation is most pronounced in early-career roles (Source: Revelio Labs) DEGREED – How the Workforce Learns GenAI in 2025 – According to this new report by Degreed, while 48% of surveyed professionals expect their responsibilities to shift due to GenAI, 78% lack the confidence and skills to use Gen AI tools. The report urges collaboration between CHROs, CLOs and CIOs, and highlights that: “When CHROs and CIOs align on AI upskilling, cross-functional collaboration, and ethical governance, companies are three times more likely to develop a Gen AI-ready workforce.” Thanks to Todd Tauber for sharing. FIG 15: How to build GenAI confidence (Source: Degreed) LACE PARTNERS - What are sunrise and sunset skills and how do you use them? – A helpful primer from LACE Partners on ‘sunrise’, ‘evergreen’, and ‘sunset’ skills (see FIG 16) and when to use them. Thanks to Aaron Alburey for highlighting. FIG 16: Skills mapping horizon (Source: LACE Partners) PODCASTS OF THE MONTH In another month of high-quality podcasts, I’ve selected four gems for your aural pleasure: (you can also check out the latest episodes of the Digital HR Leaders Podcast – see ‘From My Desk’ below): JORGE AMAR, BROOKE WEDDLE AND BRYAN HANCOCK - The future of work is agentic – In a fascinating episode of McKinsey Talks Talent, Jorge Amar, Brooke Weddle, and Bryan Hancock join host Lucia Rahilly to discuss AI agents, how they’re being used, and how leaders can prepare now for the workforce of the not-too-distant future. KRIS SALING - The US Army & Data Driven Talent Management – Kris Saling, Director of Talent Innovation at the U.S. Army, joins host Cole Napper on the Directionally Correct podcast to discuss her book, Data Driven Talent Management, implementing people analytics in the US Army, and integrating data and analytics into talent management programs. ALEXIS FINK, SEUNG WON YOON, AND BRAD SHUCK – How to Implement People Analytics – In this masterclass masquerading as a podcast, Alexis Fink, Seung Won Yoon, and Brad Shuck discuss how to implement people analytics. BAS DEBBINK - Stop Guessing: How J&J Gets Precise About Skills – Bas Debbink, learning strategist at J&J, joins Stacia Sherman Garr and Dani Johnson on Workplace Stories to discuss how J&J utilises both talent leader insight and AI-driven inference to build a skills-based ecosystem that actually works, without overwhelming employees or managers. VIDEO OF THE MONTH NICKLE LAMOREAUX AND TEUILA HANSON: How IBM built a skills-based organisation LinkedIn has recently released an excellent report, CHRO Case Studies: Leading from the Front, which features case studies from five top-notch CHROs, which examine how BCG (Amber Grewal) has fully embraced AI; how IBM (Nickle LaMoreaux) has rethought performance management; how leaders at Allianz (Bettina Dietsche) are modelling the change they want to see; how Wood ( Marla Storm ) is addressing burnout and well-being; and how LinkedIn ( Teuila Hanson ) has introduced Coaching for All. The video featuring Nickle speaking to Teuila, provides a snapshot of the content in the report, and focuses on how IBM has built a skills-based organisation by starting with the data and tracking how skills are changing for each and every job role. BOOK OF THE MONTH ROSS SPARKMAN - Strategic Workforce Planning: Developing Optimized Talent Strategies for Future Growth Ross Sparkman is widely recognised as one of the most accomplished expert practitioners in workforce planning, and the first version of Strategic Workforce Planning was an excellent guide to the fundamentals of this critically important business practice. The second edition provides a deep dive into what it takes to embed SWP and provides new guidance on areas such as: SWP in the age of GenAI, skills-based SWP, leading the SWP function and the future of SWP. RESEARCH REPORT OF THE MONTH FRACTIONAL INSIGHTS – The Adaptive Organization: Building and Evolving Culture Across Growth Stages The latest white paper from the Fractional Insights team of Shonna Waters, PhD, Laura Lomelí Russert, Ph.D. and Erin Eatough, PhD, provides an immensely helpful, research-backed framework for building and evolving culture intentionally, as your business scales. The paper details a stage-based model to guide culture through four stages of growth: early, growth, mid-size and enterprise as well as tools to align systems, behaviours, and values, practical insights from organisational psychology and systems thinking, and pitfalls to avoid as complexity increases. FROM MY DESK June saw four new episodes of the Digital HR Leaders podcast – three sponsored by HiBob (thanks Louis Gordon ), and a special bonus episode sponsored by Gloat (thanks Ruslan Tovbulatov ), as well as a round-up of series 47, and a role-reversal as I guested on the HR Leaders podcast. JANINE VOS – The CHRO’s Playbook: How to Build an Agile and Data-Driven HR Function – Janine Vos, Chief Human Resources Officer and Managing Board Member at Rabobank, joins me to discuss how she has built an HR function that's not only agile and data led but also grounded in trust and strong relationships across the business. MATTHEW BROWN - From Deployment to Impact: Maximizing Business Value with HR Tech - Matthew Brown, Director of Research, HCM at ISG (Information Services Group) joins me to discuss why the disconnect between HR and tech adoption persists, and how to bridge it. RAMI TZAFRIR – Why HR must confront 'Covering' to build inclusion and psychological safety - Rami Tzafrir, Senior Director of Talent, Organisation and Learning at HiBob, to unpack powerful new research on covering in the workplace. Together, we explore why this behaviour is not just a personal issue but a signal of deeper organisational challenges - and what HR can do about it. PATRICIA FROST AND RUSLAN TOVBULATOV - The AI Pivot: Seagate’s Workforce Transformation in the Age of AI - Patricia Frost, Chief People and Places Officer at Seagate Technology, and Ruslan Tovbulatov, Chief Marketing Officer at Gloat, the platform partner behind Seagate’s internal talent marketplace, TalentLink, join me to share insights from Seagate’s workforce transformation journey. DAVID GREEN - How can HR use AI to improve Employee Experience and Wellbeing? – Highlights from series 47 of the podcast featuring episodes with Dave Ulrich, Volker Jacobs, Janine Vos, Matthew Brown, and Rami Tzafrir. DAVID GREEN - How people analytics is driving organizational excellence – At the recent UNLEASH America show in Las Vegas, I had the pleasure of speaking to Christopher Rainey as part of a marathon series of interviews he conducted at the event for HR Leaders and Achievers. Chris and I discussed the past, present and future of people analytics and evidence-based decision making in HR. BONUS RESOURCES There continues to be so much interesting content around on AI and its impact on business, leadership and HR that this month’s bonus resources are all focused on aspects of this topic: ANNA OTT - How AI is Rewriting the Playbook for Talent in European Tech Startups - Anna Ott analyses a dataset of 1,800+ job postings across nearly 100 European startups in HV Capital's portfolio to answer the question: How should founders and HR leaders adjust their workforce planning to this new landscape? ETHAN MOLLICK - Using AI Right Now: A Quick Guide - Wharton professor Ethan Mollick's One Useful Thing is the go-to blog for all things AI. In a recent post, Ethan examines what AI tool you should use for specific tasks (see FIG 17) with Claude, Gemini and Chat GPT being the three systems he recommends. FIG 17: Source - Ethan Mollick LASZLO BOCK - The Impact of AI on the Future of Work - Laszlo Bockshares the deck he is using to speak about AI and the future of work. As Laszlo astutely observes: HR is uniquely positioned to make sure the future of work is both productive and humane. TOMAS CHAMORRO-PREMUZIC - Want to Use AI as a Career Coach? Use These Prompts - As ever, Dr Tomas Chamorro-Premuzic provides an insightful guide on how you can use Gen AI tools for career coaching, with practical prompts and strategies to maximise your experience, learnings, and success. STEVEN KIRZ - Why CHROs are critical to unleashing the transformational productivity of AI - Writing for UNLEASH, Steven Kirz explains why when CHROs treat AI as another tech tool, they are missing out on opportunities. Instead, he urges, they need to see AI as a form of talent, not a technology, particularly in this new era of AI agents. LOOKING FOR A NEW ROLE IN PEOPLE ANALYTICS OR HR TECH? I’d like to highlight once again the wonderful resource created by Richard Rosenow and the One Model team of open roles in people analytics and HR technology, which now numbers over 500 roles with 60% these being new. THANK YOU Million Podcasts for including the Digital HR Leaders podcast at number 6 in their list of the Top 100 Future of Work Podcasts of 2025 Max Blumberg for conducting and publishing an experiment: ?????? ????? ????? ??????? ??'? ????: ??? ????? ????????? ?????? ??????????? Alexandra Nawrat for including my contribution in her article summarising some of the key takeaways from the recent UNLEASH America: Analyst takeaways: UNLEASH America 2025 raised ‘the bar for what a HR technology conference should be’ Finally, a huge thank you to the following people who either shared the June edition of Data Driven HR Monthly and/or posted about the Digital HR Leaders podcast, conferences or other content. It's much appreciated: Charlotte Copeman Gareth Flynn Gulce Guleli Scott Rogers Piyush Mathur AJ Herrmann James Griffin Hernan Chiosso, CSPO, SPHR ? Rochelle Carland Jesse Clark, MBA Miralem Masic Helder Figueiredo Kevin Le Vaillant Emily Killham Marina Pearce, PhD Lida Chahipeyma Dr. Christoph Spöck Dr. Tobias Bartholomé Sergio Garcia Mora Shujaat Ahmad Ali Nawab Lindsey McDevitt Cristian Gabriel Alvarez Nirit Peled-Muntz William Werhane Amardeep Singh, MBA Tsevelmaa Khorloo Debbie Harrison Aravind Warrier Scott Reida Joy Kolb Emily Klein Graham Tollit Dan George Sai Bon Timmy Cheung 張世邦 Margad B Catriona Lindsay Erin Fleming Fiona Jamison, Ph.D. Lewis Garrad Francesca Caroleo (SHRM-SCP, ICF-ACC) Judi Casey Kouros Behzad Rupert Bader Rosemary Byde Preetha Ghatak Mukharjee Amy Huber-Smith Danielle Farrell, MA, CSM Aline Costa Timo Tischer Meghan R. Lowery, Ph.D., M.S. David Simmonds FCIPD Prabhakar Pandey Adam McKinnon, PhD. Greg Newman Kyle Forrest John Barrand Elson P. Kuriakose Jeffrey Pole David van Lochem Hanadi El Sayyed Matt Elk Al Adamsen Kyle Winterbottom Luka Babic Eric Guidice Monika Manova Ankit Saxena, MBA Kirsty Coral Baynton ??? Irada Sadykhova Dawn Klinghoffer Dr. Denise Turley AI.Impact.Equity Evan Franz, MBA Philip Arkcoll Toby Culshaw Dan Riley Sanja Licina, Ph.D. Daniyal Wali Azima Mavlonazarova Julius Schelstraete ? Angela LE MATHON Joonghak Lee, Serap Zel, PhD, Milou Wesdijk, Ingi Finnsson ?, Joanna Thompson (Kempiak), Heather Muir, Summer Pan, Anna Kuzmenko, Olivier Bougarel, Marino Mugayar-Baldocchi, Tobias W. Goers ツ, Bence Gősi, Roxanne Laczo, PhD, Michelle Deneau, Don Gray, Marc Caslani, Claire Masson, Fabian Stokes, MBA, SWP, Delia Majarín, Barry Swales, Narelle Burke, Stela Lupushor, Anna A. Tavis, PhD, Jeremy Shapiro, Kanwal Rai, Patrick Davis, Placid Jover, Francisco Marin, Matthew Shannon, Rashmita Lenka, Henrik Håkansson, Alexandre Monin, Dale Clareburt, Dana Shoff, Warren Howlett, Agnes Garaba, Greg Pryor, Phil Inskip, Stephanie Murphy, Ph.D., Gaëtan Bonny, Nicola Forbes-Taylor FCIPD, Ian Grant FCIPD, Neil Vyner, Joseph Frank, PhD CCP GWCCM, Mila Pascual-Nodusso, Adam Treitler, Fábio Priori, Johann Cheminelle, Alex Browne, Dolapo (Dolly) Oyenuga, Megan Kraus Langdon, Bill Banham, Tom Reid David Balls (FCIPD) Juan Antonio Vega Frankie Close Asaf Jackoby, John Gunawan, Daisy Grewal, Ph.D. Amit Mohindra Sonia Mooney Oliver Auty Caitie Jacobson Mikulis Pedro Pereira Ben Berry Natasha Fearon Andrew Spence Ravin Jesuthasan, CFA, FRSA ABOUT THE AUTHOR David Green ?? is a globally respected author, speaker, conference chair, and executive consultant on people analytics, data-driven HR and the future of work. As Managing Partner and Executive Director at Insight222, he has overall responsibility for the delivery of the Insight222 People Analytics Program, which supports the advancement of people analytics in over 100 global organisations. Prior to co-founding Insight222, David accumulated over 20 years experience in the human resources and people analytics fields, including as Global Director of People Analytics Solutions at IBM. As such, David has extensive experience in helping organisations increase value, impact and focus from the wise and ethical use of people analytics. David also hosts the Digital HR Leaders Podcast and is an instructor for Insight222's myHRfuture Academy. His book, co-authored with Jonathan Ferrar, Excellence in People Analytics: How to use Workforce Data to Create Business Value was published in the summer of 2021. MEET ME AT THESE EVENTS I'll be speaking about people analytics, the future of work, and data driven HR at a number of upcoming events in 2025: July 31 - August 1 - People Matters TechHR India 2025, Delhi August 13-16 - GCHRA Africa, Accra, Ghana (I will join virtually) September 25 - Visier Outsmart Local London, London October 7-9 - Insight222 Global Executive Retreat, Atlanta (exclusive to the people analytics leader in member companies of the Insight222 People Analytics Program®) October 15-16 - People Analytics World, New York October 21-22 - UNLEASH World, Paris November 12-13 - HR Forum 2025, Oslo More events will be added as they are confirmed.

Agentic AI
2025年07月01日
Agentic AI

什么是Agentic AI？AI Agent如何重塑HR行业？ "Agentic AI"（代理人工智能）是您可能听说过的最新流行语，但实际上这个词在人力资源工作中的应用其实已经有一段时间了！但究竟什么是 Agentic AI？它和传统的AI Agent有何区别？2025年是否真的是AI Agent之年？特别呈现这篇文章与您分享！在人工智能（AI）快速发展的今天，我们已经经历了**预测AI（Predictive AI）和生成式AI（Generative AI）**的兴起，而如今，**Agentic AI（自主智能体AI）**正成为AI的下一个进化阶段。对于HR行业而言，这一技术的到来意味着更加智能的HR系统、自动化的人才管理流程，以及更精准的数据驱动决策。但究竟什么是Agentic AI？它和传统的AI Agent有何区别？2025年是否真的是AI Agent之年？本文将为你详细解析Agentic AI的核心概念，并探讨它如何改变HR行业。 1. 什么是Agentic AI？ Agentic AI（自主智能体AI）是一种具备自主行动能力的人工智能技术，它不仅能像生成式AI一样回答问题、生成内容，还能自主感知环境、推理分析、执行任务，并从反馈中不断优化自身能力。相比于传统的AI系统，Agentic AI最大的不同在于：自主性（Autonomy）：无需人工干预，AI代理可以独立完成任务，例如审核候选人简历、优化招聘流程等。适应性（Adaptability）：AI能够根据反馈不断优化决策，例如HR系统可以自动调整绩效评估标准，以适应不同部门的需求。目标导向（Goal Orientation）：Agentic AI可以自主制定目标，并推理如何达成这些目标，例如自动匹配候选人与职位，提高招聘效率。 2. AI Agent vs. Agentic AI：有什么区别？在HR行业中，我们常见的AI Agent（AI代理），例如智能客服或自动化面试助手，已经在许多企业得到应用。但与Agentic AI相比，传统AI Agent仍然具有局限性。举个例子： AI Agent：只能回答员工关于公司福利的常见问题，比如“今年的年假政策是什么？” Agentic AI：不仅能回答问题，还能主动分析员工的休假情况，自动推荐合适的休假时间，并结合公司政策优化排班，确保业务顺利运行。 3. Agentic AI如何改变HR行业？随着Agentic AI的发展，HR的许多日常工作将发生巨变。以下是几个关键应用场景：（1）智能招聘与人才管理 Agentic AI可以帮助HR从简历筛选、面试安排到人才匹配实现全流程自动化。 ? 自动筛选简历：AI代理可通过自然语言处理（NLP）分析海量简历，并根据职位要求筛选最匹配的候选人。? 优化招聘流程：Agentic AI能够自主调整招聘策略，例如根据市场趋势调整岗位描述，优化招聘渠道，提高人才获取效率。? 智能面试安排：AI代理可以结合面试官和候选人的日程，自动安排面试，并实时调整时间，减少HR的重复沟通工作。（2）绩效评估与员工发展 HR部门可以利用Agentic AI来优化绩效考核体系，并制定个性化的员工成长路径。 ? 智能绩效评估：AI代理可实时分析员工的工作数据，提供个性化绩效反馈，帮助管理者更公平地评估员工表现。? 个性化职业发展：Agentic AI可以分析员工的职业路径，自动推荐合适的培训课程或晋升机会，帮助企业留住优秀人才。（3）员工体验与组织管理 AI可以提高员工满意度，并优化组织架构，提高整体效率。 ? 智能员工助手：AI代理可以主动提醒员工提交报销单、更新考勤信息，甚至预测员工的离职风险，并提前采取措施留住人才。? 企业文化管理：AI可以分析员工情绪，帮助HR团队制定更合适的企业文化建设方案。 4. 为什么2025年是“AI Agent之年”？ 2025年，Agentic AI的应用将迎来爆发式增长，这主要得益于以下三大趋势：（1）AI技术的成熟与算力提升随着大模型（如ChatGPT、NVIDIA NeMo）的不断升级，AI的推理能力越来越强，使得Agentic AI在HR场景下更加实用。（2）企业数字化转型加速全球范围内，企业正在加快HR数字化转型。Agentic AI能够帮助HR团队自动化重复性工作，让HR更专注于战略性任务，因此将被广泛应用。（3）人才市场变化与HR挑战后疫情时代，企业面临招聘难、员工流动性增加等挑战。Agentic AI可以通过智能化的人才管理系统，提高招聘效率、优化员工体验，并降低HR工作负担。 ? 预测：到2025年，超过50%的企业将引入Agentic AI，以优化HR管理流程。 5. HR如何准备迎接Agentic AI时代？ 2025年将是AI Agent之年，HR行业必须抓住这一变革机遇。以下是HR团队可以采取的三大行动： ✅ 学习Agentic AI相关知识，关注AI在HR领域的应用趋势，如AI招聘、智能绩效管理等。✅ 尝试小规模部署AI代理，比如在员工服务、招聘管理等领域测试AI解决方案。✅ 与AI厂商合作，寻找适合企业的AI解决方案，如NVIDIA、微软、谷歌等提供的Agentic AI技术支持。 HR的未来，不只是管理人，更是管理智能体！Agentic AI将成为HR行业的重要助手，助力企业迈向智能化管理新时代！ ? RAIHR倡导：实施负责任的AI（Responsible AI in HR, RAIHR）随着Agentic AI在HR行业的广泛应用，我们必须关注AI的伦理、安全和公平性问题。**RAIHR（Responsible AI in HR）**倡导企业在引入Agentic AI时，遵循以下三大原则，确保AI技术的透明性、公平性和责任性： ✅ 透明性（Transparency）：确保AI决策过程可解释，HR能够理解AI的筛选标准、考核指标，避免“黑箱”决策。✅ 公平性（Fairness）：AI招聘和绩效评估应避免算法偏见，确保候选人和员工得到公平、公正的对待。✅ 责任性（Accountability）：AI在HR领域的应用应遵循合规要求，确保数据安全，并提供人工复核机制，避免AI错误影响员工职业发展。 Agentic AI的未来，不仅是效率与智能的提升，更应是“负责任的AI”！HR行业需要共同努力，确保AI技术真正惠及企业与员工，让AI成为推动组织可持续发展的正向力量！ ?? 总结：Agentic AI将彻底改变HR工作方式 ? AI Agent vs. Agentic AI：传统AI Agent只是执行预设任务，而Agentic AI能自主学习、推理和优化。? HR应用场景：Agentic AI将在招聘、绩效评估、员工体验等方面发挥巨大作用。? 2025年是AI Agent之年：技术突破、企业数字化转型、HR挑战推动Agentic AI的全面应用。 ? 实施负责任的AI（Responsible AI in HR, RAIHR）我们必须关注AI的伦理、安全和公平性问题未来，HR不再是“人力资源管理者”，而是“AI智能管理者”！准备好迎接这场AI革命了吗？ ?

Agentic AI
2025年03月16日
Agentic AI

David Green:The best HR & People Analytics articles of November 2024 The centrepiece of this month’s edition of the Data Driven HR Monthly is focused around two topics – Agentic AI and Diversity, Equity and Inclusion. One with a technology focus, the other very much a human topic. With Gartner predicting that that by 2028, at least 15% of day-to-day work decisions will be made autonomously through agentic AI (up from 0% in 2024), the word on everyone’s lips at UNLEASH World in Paris recently was Agentic AI. But what actually is Agentic AI, and what does it mean for HR technology and HR professionals? Some of the content this month explores these topics. It was also good to hear at Unleash, L’Oreal’s CHRO, Jean Claude Le Grand on the main stage saying in very clear terms that “DEI is not a trend. DEI is part of our DNA”. DEI shouldn’t be used as a political football. But with questions being asked about what Trump’s Second Term Could Mean for DEI, it is important to highlight that DEI is also about business performance. I’ve included two articles this month from Quinetta Roberson (on how to link DEI to business outcomes) and Brian Elliott (on why capitulating to DEI sceptics is counterproductive). When it comes to DEI, now is the time to stand up. This edition of the Data Driven HR Monthly is sponsored by our friends at TechWolf Transforming talent strategies with skills-based insights Skills are the currency of the modern workforce. For Workday, unlocking the power of skills was key to transforming their talent strategy—and the results speak for themselves. Workday faced common challenges: fragmented job architecture, costly manual processes, and a need for greater agility to adapt to shifting business needs. By partnering with TechWolf, they implemented a skills-based approach that delivered measurable impact: 32% faster hiring: AI-driven skills matching reduced time-to-hire by more than a third. 85% of the workforce had critical skills aligned to their jobs. Saved 12-18 months of manual effort, creating a standardized framework for decision-making. This partnership didn’t just solve today’s challenges—it prepared Workday for the future. TechWolf’s AI continuously updates skills data, ensuring their workforce strategy remains adaptable in a rapidly changing landscape. Want to know more about Workday’s journey? ? Watch the on-demand webinar: How Workday Leads the Skills Revolution with AI and Data? Explore how a skills-first approach can make a measurable impact on your workforce strategy. To learn more about how TechWolf can help your organization, reach out to us at hello@techwolf.ai or visit the contact page. To sponsor an edition of the Data Driven HR Monthly, and share your brand with more than 135,000 Data Driven HR Monthly subscribers, send an email to dgreen@zandel.org. November road report After a heavy travel schedule in September and October, November was a quieter month with my sole trip being to Germany for the final European Peer Meeting of 2024 for member companies of the Insight222 People Analytics Program®, which was hosted by Alexis Saussinan and Ruben Groen at Merck Group’s HQ in Darmstadt. During the two days, we learned about how Alexis and Khadija Ben Hammada, the CHRO, partner to deliver business value at Merck. We also learned from Ruben and Mariana Hebborn PhD on how Merck has established its enterprise data foundations, from Dawn Klinghoffer on how Microsoft has reconfigured its people analytics function in the age of intelligent automation, and Adam Tombor (Wojciechowski) on how Julius Bär democratised data across the company. If you are a people analytics leader interested in joining the People Analytics Program, and attending our 2025 Peer Meetings – including in Paris on January 28 and 29, and New York on March 4 and 5, please get in touch. Attendees at the Insight222 Peer Meeting for members of the Insight222 People Analytics Program, hosted by Merck, November 19-20, 2024 Sign-up to receive the 5th annual Insight222 People Analytics Trends research report The 2024 Insight222 People Analytics Trends study will be released publicly on December 9. The report, which is informed by a survey of 340 participating organisations, will uncover how AI, data democratisation, and impactful people analytics strategies drive business value and elevate workforce decision-making. You can pre-register to receive the report one week earlier on December 2 by signing up here or by clicking on the image below. Share the love! Enjoy reading the collection of resources for November and, if you do, please share some data driven HR love with your colleagues and networks. Thanks to the many of you who liked, shared and/or commented on October’s compendium. If you enjoy a weekly dose of curated learning (and the Digital HR Leaders podcast), the Insight222 newsletter: Digital HR Leaders newsletter is published every Tuesday – subscribe here. AGENTIC AI AND THE FUTURE OF WORK JOANNE CHEN AND JAYA GUPTA - A System of Agents brings Service-as-Software to life | McKINSEY - Why agents are the next frontier of generative AI With Gartner predicting that by 2028, at least 15% of day-to-day work decisions will be made autonomously through agentic AI, up from 0% in 2024, this is a topic we all need to learn about. Here are two resources that provide some helpful context. (1) A VC view from Joanne Chen and Jaya Gupta, writing for Foundation Capital, which they present as a “$4.6 trillion opportunity as AI transforms software from tool to worker”, with all the inherent implications that has for the workforce (see FIG 1). Thanks to Paul Daley, Gareth Flynn, Nico Orie, and Hung Lee (I recommend following all of these four people) for all highlighting this excellent article. (2) Writing for McKinsey, Lareina Yee, Michael Chui, Roger Roberts, and Stephen Xu, explore the opportunities that the use of gen AI agents presents including how they could work with potential use cases, the value they can bring, and how business leaders should prepare. FIG 1: A System of Agents (Source: Foundation Capital) JASON AVERBOOK - How AI Agents are Revolutionizing HR—and How to Get Ready | LARS SCHMIDT - Agents of (Massive) Change: How AI Agents Are Poised to Alter Work | JOSH BERSIN - AI Agents, The New Workforce We’re Not Quite Ready For (Agentic AI) | FELIPE JARA - HR - Let's Prepare for a Big Wave of Multi-Agents AI Systems For HR, Agentic AI means shifting away from repetitive administrative tasks to focusing on what truly matters: people. So, what does Agentic AI mean for HR in terms of the HR technology stack, how we deliver services to employees, and HR professionals themselves? Not surprisingly, with all the hype, there is a growing body of resources on these topics. Here are four I recommend to* Data Driven HR Monthly readers: (1) Definitely subscribe to Jason Averbook’s Now of Work Substack. In this blog, he provides five tips for HR to get ready for AI agents including: (i) Upskilling HR teams, (ii) Assessing current processes to identify and prioritise use cases, and (iii) Working on improving data quality. (2) Lars Schmidt’s primer is also highly recommended. It includes a guide to three categories of AI and how they are impacting work: bots, AI agents, and digital workers: “As we weave agentic AI capabilities into our businesses, we will likely deconstruct jobs into individual tasks and then identify the tasks that can be fully automated by these new AI technologies and agents.” (3) Josh Bersin has been all over agentic AI, and has recorded several podcasts on the topic as well as this article, which explains how the “’Large Language Models’ we’ve been learning about for the last two years are now turning into ‘Large Action Models’”, as well as outlining two potential uses cases in L&D and recruiting. As Josh mused in his keynote at Unleash World in Paris, AI is set to dominate the HR Tech stack (see FIG 2). (4) Last but not least, Felipe Jara provides a helpful synopsis of the emerging macro trends in enterprise AI for HR including a summary of the tools that major players like Workday, SAP, ServiceNow and One Model (see FIG 3) are introducing. He also lays out four focus areas of opportunity for HR including guidance on how to prepare your data foundation. FIG 2: AI dominates the HR Tech stack (Source: Josh Bersin at Unleash World, Paris, October 2024) FIG 3: The Evolution of Agents and Enterprise AI (Source: One Model – see here) ANDY SPENCE - The Next Wave of AI: Building Your Own Digital Workforce This is going to be fundamental change in how we interact with AI. It's moving us from being passive consumers of AI tools to active creators of personalized AI assistants. The great thing is we won’t need to be a machine learning expert or a seasoned programmer to get started. Finally on the Agentic AI theme this month, a twist as in an edition of his brilliant Workforce Futurist, Andy Spence writes about Agent Engineering, and how individuals (not just companies): “can create and deploy their own army of AI agents for a wide array of personal and professional tasks.” In his article, Andy breaks down what agent engineering is, the rise of personal AI agents, how to get started with agent engineering (including tools and platforms), and how it might reshape work, learning and our daily lives. FIG 4: Agent engineering framework process (Source: Andy Spence) MIT AND BCG - Learning to Manage Uncertainty, With AI Companies that boost their learning capabilities with AI are significantly better equipped to handle uncertainty from technological, regulatory, and talent-related disruptions compared with companies that have limited learning capabilities. A new study by Sam Ransbotham, David Kiron, Shervin Khodabandeh, Michael Chu, and Leonid Zhukov, Ph.D for MIT Sloan Management Review and BCG finds that companies that combine organisational learning with AI-specific learning, which they define as Augmented Learners, outperform those that apply either approach in isolation or neither (see FIG 5). For example, these Augmented Learner companies are twice as likely to weather talent-related disruptions, demonstrating that they are more resilient to workforce volatility. Thanks to Allison Ryder for highlighting the study. FIG 5: Learning Capabilities Vary (Source: MIT Sloan Management Review and BCG) DIVERSITY, EQUITY, INCLUSION, AND BELONGING QUINETTA ROBERSON - How Integrating DEI Into Strategy Lifts Performance By explicitly linking DEI goals to business outcomes, companies create a clear vision of how diversity adds value. In her timely article Quinetta Roberson presents the findings of a study on diversity, equity and inclusion and company financial performance, and highlights the practices for achieving competitive advantage through DEI. These findings include that a bundled practice approach to DEI amplifies the performance effects of individual practices – see example in FIG 6. Quinetta also presents a three-point blueprint for meaningful action to DEI: (1) Strategically align DEI with business goals. (2) Systemically integrate DEI practices. (3) Make evidence-based improvements. FIG 6: DEI practice bundles (Source: Quinetta Roberson) BRIAN ELLIOTT - How to Stand Up When It Comes to Diversity, Equity, and Inclusion The backlash against DEI is out of sync with the opinions held by the most important set of stakeholders: your employees. In this powerful column for MIT Sloan Management Review, Brian Elliott tackles the growing backlash by some companies in the US on diversity, equity and inclusion. He highlights two dangers of backing away. First, the fact that DEI programs are actually getting more popular with employees, not less, and increasingly view it as a business topic rather than a political one. Second, capitulating on DEI commitments doesn’t settle the issue with employees or customers especially as research by Edelman finds that 76% of employees want companies to recommit not retreat. Elliott also provides guidance on three approaches to having real conversations on this topic, highlighting examples from his experience in leading teams at Google and Slack: (1) Let people voice their concerns about DEI programs. Don’t stifle the conversation or run away. (2) Use the words diversity, equity, and inclusion — not DEI. Explain what the words mean, correct misinformation, and tie them back to business results. (3) Keep in mind that memos don’t create trust; employee engagement does. PEOPLE ANALYTICS PHIL WILLBURN - People Analytics Demystified: A Practitioner’s Handbook Highly effective HR organizations know that every area of the business makes people decisions. The best people analytics teams excel by scaling people insights to all business leaders, ensuring these insights reach those making critical people decisions Phil Willburn, the Head of People Analytics, and his team recently hosted a Peer Meeting for member companies of the Insight222 People Analytics Program® at Workday’s global headquarters in California. During the two days, Phil and his team presented some of the amazing work they are doing with people analytics in areas such as workforce planning, employee experience and hybrid work. Some of the content they presented is in this insightful e-book, which shines a light on how Workday has scaled people analytics in its own company (see FIG 7), their product-oriented and persona-based approach, and provides details on three case studies including how the team provides insights on flexible work and collaboration. FIG 7: People analytics and insights at Workday (Source: Phil Willburn, Workday) COLE NAPPER, JIN YAN, AND BEN ZWEIG - What is happening to people analytics? A 15 Year Trend Part Two | Part Three Following on from Part One of their study on employment trends in the people analytics field over the last 15 years, which I featured in the September edition of Data Driven HR Monthly, Cole Napper, Jin Yan and Ben Zweig return for a second helping – and a third helping with Kristin Saboe, Ph.D. In Part Two, Cole, Jin and Ben turn their attentions to an analysis of the skills of people analytics professionals and the impact of the field during the last 15 years. The insights they uncover include: (1) While people analytics specialists are more likely to hold a doctoral degree (8.2%) than other HR specialists (1.4%), advanced skills (e.g. SQL, GenAI, Python) haven’t been adopted in the numbers expected. (2) There is a correlation between companies with ‘prestigious’ people analytics teams and companies being rated more highly for employee sentiment (see FIG 8). They also provide three recommendations for the field moving forward: (1) Add real value and break the cycle. (2) Mature the people analytics function. (3) Let’s get back to growth. In Part Three, Kristin takes the lead to shine the lens on how the composition of government people analytics jobs have changed over the last 15 years. FIG 8: Companies with a prestigious people analytics team are rated higher by employees (Source: Revelio Labs) ERIC LESSER, ERIC BOKELBERG, AND DEVON JOHNSON - Powering people analytics through HR data: How to strategically integrate data as a product Data products help analysts better grasp what data is available, where it comes from, how it can be used and how to put it together to gain insights effectively. When a new business question arises, the needed data is often already available in a data product, making it easy to gather the correct information. Eric Lesser, Eric Bokelberg, and Devon Johnson from Deloitte provide a helpful breakdown on how to implement data products through applying key principles of product management across the data lifecycle, namely: ownership, reuse, quality, cataloguing and security. They outline three steps to get started with data products: (1) Educate HR and IT teams about data products; (2) Focus on impactful use cases (“Instead of creating numerous data products, concentrate on those that effectively address pressing business needs”); (3) Establish a strong governance model. CHRISTOPHER ROSETT – Reporting, Analytics, Research, Statistics (RARS) | SERENA HUANG - The Future of Work: Human Skills in the Age of AI | GIOVANNA CONSTANT – The 10 Commandments for every People Analytics professional | MITCH MIHANOVIC – People Analytics Lessons | WILLIS JENSEN - An Unusual Application Using Organizational Network Data | A.J. TUFTE – Making Workforce Planning Strategic: Three Vs | BEN TEUSCH – A reflection on six years at Facebook The true value of people analytics lies in translating insights into actionable strategies and programs that enhance employee engagement and drive business performance. In each edition of the Data Driven HR Monthly, I feature a collection of articles by current and recent people analytics leaders. These are intended to act as a spur and inspiration to the field. Seven are highlighted in this month’s edition. (1) Christopher Rosett outlines the RARS (Reporting, Analytics, Research, Statistics) model he uses with his analytics teams and customers at Amazon (see FIG 9). (2) Serena H. Huang, Ph.D. presents seven human skills required in the age of AI (see FIG 10). (3) Giovanna Constant presents her ten commandments for people analytics professionals including i) You shall worship data quality, ii) You shall train HR teams in data literacy, iii) You shall not create confusing dashboards. (4) Mitch Mihanovic shares three things he has learned from working in the people analytics field, including: “The true value of people analytics lies in translating insights into actionable strategies and programs that enhance employee engagement and drive business performance.” (5) Willis Jensen walks through a case study of using ONA to support compensation decisions for employees. (6) A.J. Tufte breaks down his Three Vs of Strategic Workforce Planning: i) Value (“what value does the work provide”) ii) eVolution (“how does the work need to change”), and iii) Volume (“how much of the work is needed”). (7) Finally, Meta has made a number of layoffs including from its people analytics team in the last few weeks. One of those impacted is Ben Teusch, who penned a reflection on his six years with the company. Wherever Ben decides to go next will be very fortunate to land such a talented practitioner. FIG 9: The RARS model (Source: Christopher Rosett) FIG 10: Seven human skills required in the age of AI (Source: Serena Huang) THE EVOLUTION OF HR, LEARNING, AND DATA DRIVEN CULTURE RAVIN JESUTHASAN, MIRIAM DAUCHER, AND ALEX ZEA - The future of human resources: Who will care for the human at work? As the trusted link between organizations and their employees, HR can lead the charge in creating fulfilling workplaces and helping people thrive in an era of transformative technological change, ensuring that AI serves humanity, not the other way around. Ravin Jesuthasan, CFA, FRSA, Miriam Daucher, and Alexandra Zea present a new paper from Mercer on the future of human resources in the fifth industrial revolution. They paint a compelling evolution for the function to move beyond being stewards of employment to being stewards of work, and ultimate being stewards of humanity through (1) Ethical use of AI. (2) Safeguarding ESG. (3) Preserving human well-being. FIG 11: HR’s changing role through the history of industrial revolutions (Source: Mercer) ASAF JACKOBY - Work, Workforce, and Workplace: The Role of CHROs in Leading Change As Asaf Jackoby, VP HR for Amdocs, writes, chief human resources officers have a pivotal role to play in transforming the landscape of work, workforce and workplace. His article presents a framework (see FIG 12), and provides detail about each of the three categories and the individual components within it: (1) The Work – AI will transform the way we define work, (2) The Workplace – Creating an inclusive and adaptable environment, and (3) The Workforce – who does the work. FIG 12: Source – Asaf Jackoby WORKFORCE PLANNING, ORG DESIGN, AND SKILLS-BASED ORGANISATIONS BRIAN FISHER, KATE BRAVERY, KATIE JENKINS, AND LAUREN ROBERTSON - Measuring skills in the age of agile work A helpful primer from the Mercer team of Brian Fisher, Kate Bravery, Katie Jenkins, and Lauren Robertson on three ways to ascertain employee skills (see FIG 13): (1) Inferred skills (“The starting point for skills measurement”), (2) Rated skills (“The employee and manager view of skills proficiency”), and (3) Validated skills (“Approaches for validating behavioural and technical skills”). As the authors highlight: Although each method of collecting skills data has its respective merits, methods can also be combined to paint a more complete skills picture that strengthens talent decision-making and can better inform business strategy. FIG 13: Three components of a skills measurement strategy (Source: Mercer) EMPLOYEE LISTENING, EMPLOYEE EXPERIENCE, AND EMPLOYEE WELLBEING MICHAEL ARENA AND AARON CHASAN - Fostering Friendships: The Game Changer in Employee Retention One study found that an employee’s position in the network can predict turnover with 85% accuracy. This is especially true for friendship networks. Research consistently finds that those with friends at work are far more likely to stay. Indeed, in their article for HR Exchange Network, Michael Arena and Aaron Chasan share the results of a study with a technology company, which found that there was a 44% drop in turnover rate for those who went from 0 friends to just 1. They also provide guidance on how organisations can create a climate for friendships to blossom: (1) Create opportunities for employees to connect; (2) Actively encourage friendships among colleagues; (3) Evaluate the level of connections in the workplace; (4) Create an environment of belonging. KENNEDYFITCH – Employee Experience Report 2024: Humanized Growth In A Digital Era You need data to prove your cause, prove your arguments and prove your impact. This is a highly impressive report on the current state and long-term vision for employee experience by the team at KennedyFitch including Joan Beets, Frank van den Brink, Sander de Bruijn and Patrick Coolen. Highlights include: (1) Analysis on the current state of EX as it relates to maturity (see FIG 14), tools, skills, team responsibilities, leadership buy-in and main obstacles. (2) Insights into the goals, planned skills/tools development and anticipated challenges for the next 12 months. (3) Exploration of how AI and other factors will transform EX and HR. (4) Case studies from EX trailblazers including Sebastian Knepper (Deutsche Telekom), Vasuki Ranganath (Volvo), Lea Mikus (Celonis), Andreas Mayer (ING), Volker Schrank and Joachim Decock (Mondelez), and Ruth Bielderman (Royal BAM Group). An absolute must-read report for anyone working or interested in employee experience. FIG 14: EX Maturity Model (Source: KennedyFitch) DAVE ULRICH AND WENDY ULRICH - What Is the Next Step for Employee Experience? The Why, What, and How of Hope Hope is an emerging fifth wave of managing mental health challenges that shape employee experience which in turn impacts stakeholder value. The cost of mental illness and the related consequences is projected to be $6 trillion globally by 2030. As Dave Ulrich and Wendy Ulrich write, in the workplace, mental health often connects to the employee experience, which in turn impacts stakeholder and business outcomes (see FIG 15). The article then identifies hope as a new dimension of the employee experience (see FIG 16), and details six principles of what hope means in an organisational setting, so that organisations with hope: (1) Transform the future, (2) Are based in healthy relationships and conversation, (3) Ensure efficacy, (4) Rely on realistic optimism, (5) Empower people, and; (6) Address personal needs. Finally, Dave and Wendy offer seven skills for leaders to master to turn principles into actions that increase hope. An important and timely article. FIG 15: Logic of Mental Health, Employee Experience and Stakeholder Value (Source: Dave Ulrich and Wendy Ulrich) FIG 16: Evolution of Ideas Related to Employee Experience (Source: Dave and Wendy Ulrich) LEADERSHIP, CULTURE, AND LEARNING McKINSEY - Go, teams: When teams get healthier, the whole organization benefits Team effectiveness is less art, more science A new McKinsey study identifies the elements of team effectiveness that have the most significant impact on team performance: trust, communication, innovative thinking and decision-making. The authors debunk several other myths about how teams operate, and highlight the importance of context and how it determines the behaviours that matter most for a team to function effectively. A framework is presented that categorises teams into three archetypes: cycling, relay and rowing teams, which also highlights the top performance drivers for each (see FIG 17). Finally, the article details four actions for leaders to help their teams succeed: (1) Take a hard look in the mirror. (2) Make sure the changes stick. (3) If you are a team leader, don’t stand in the way of progress. (4) Embed team effectiveness in the organization’s DNA. (Authors: Aaron De Smet, Gemma D'Auria, Liesje Meijknecht, Maitham Albaharna, Anaïs Fifer, and Kimberly Rubenstein, PhD) FIG 17: Three archetypes of teams (Source: McKinsey) ALLAN H. CHURCH AND JANINE WACLAWSKI - Humpty Dumpty and the 9-Box: Five Steps to Putting it Back Together Again Using the Science of Leadership Potential (The 9-box) should be about understanding the consistency between what the organization thinks of its talent (designated potential) and what the data indicates against a validated predictive model (assessed potential). As Allan Church, Ph.D. and Janine Waclawski outline in their revealing article, while the 9-box model is commonly used talent management tools many companies struggle to use it effectively. Church and Waclawski believe this is because most organisations are doing it wrong, explaining the tendency to fall into “the performance-potential paradox”. They ten outline five steps towards having a best-in-class 9-box: (1) Throw Out Performance Ratings – They Should Be a Gatekeeper, not a Predictor. (2) Keep Your Current Talent Framework and Embrace it – But Re-label it as Designated Potential. (3) Introduce the Science of Leadership Potential – By Using Formal Assessments & Data (see the New 9-box in FIG 18). (4) Don’t Box Yourself In – Determine the Right Size Grid for Your Organization. (5) Use Data to Diagnose the Gaps – Between Designated Potential and Assessed Potential. FIG 18: Leadership potential for the new 9-box (Source: Allan H. Church and Janine Waclawski) HR TECH VOICES Much of the innovation in the field continues to be driven by the vendor community, and I’ve picked out a few resources from November that I recommend readers delve into. In a slight change-up this month, I’ll start with a couple of pieces that analyse the people analytics and wider HR technology market: DAVE ZIELINSKI - How GenAI is Transforming People Analytics Software – Analysis by David Zielinski for SHRM on how GenAI is democratising the use of people analytics and lowering the barrier to entry, which features insights from Stacia Sherman Garr, Jeremy Shapiro, Lydia Wu, and Sameer Raut. EKTA LALL MITTAL - The Realities of HR Tech Part 1 | Part 2 - In her column for Transform, Ekta Lall Mittal provides insights and guidance on the HR technology market. In Part 1, she looks at how to get started and ways to connect business and people strategy with technology. In Part 2, Ekta provides guidance on how to conduct a current state analysis of your tech stack. LISA SIMON - The Ripple Effect of Female Leadership in Data – Lisa K. Simon, Chief Economist at Revelio Labs, highlights some of the main findings from a report on the Career outlook for women in D&A and AI, she co-authored with Asha Saxena and Robert Parr. One of these was that companies with more women in senior executive data roles have higher female representation in data roles across the organisation. The difference is greatest for junior roles (see FIG 18). FIG 18: The more woman in leadership, the more women overall (Source: Revelio Labs) VISIER – Embracing the AI Driven Workforce: 5 Workforce Trends for 2025 – It’s that time of year when we start hearing the word ‘trends’ a lot, and Visier Inc. is one of the first out of the traps with their five workforce trends for 2025. It’s an insightful read featuring contributions from the likes of Angela LE MATHON, Jill Larsen, Keith Bigelow, and Dawn Klinghoffer. FIG 19: The ABCDs of Creating a Future-Proof Agile Workforce (Source: Visier) DIRK JONKER - Finance and Human Resources: A Strategic Partnership for Business Growth – Crunchr CEO Dirk Jonker explains why and how HR and Finance should work together, and paints a vision where: “Together, HR and finance can unlock a future where employees are seen for what they truly are: a company’s most significant (and measurable) asset.” FRANCISCO MARIN - The Shift from Authority to Influence: Power Distribution in a Network-First Future of Work – Francisco Marin of Cognitive Talent Solutions continues his excellent series of articles on moving to a network-first approach by analysing the shift of power from authority to influence. PODCASTS OF THE MONTH In another month of high-quality podcasts, I’ve selected six gems for your aural pleasure: (you can also check out the latest episodes of the Digital HR Leaders Podcast – see ‘From My Desk’ below): BROOKE WEDDLE, BRYAN HANCOCK, AND WENDY MILLER - Why being in HR is getting tougher—and how to break through – In a fascinating episode of McKinsey Talks Talent, Brooke Weddle, Bryan Hancock, and Wendy Stratman Miller join host Lucia Rahilly to discuss the dynamics that are making HR tougher than ever—as well as what leaders can do differently to begin turning morale around. CONNIE NOONAN HADLEY - Make it Safe for Employees to Speak Up – Connie Noonan Hadley guests on Steelcase’s Work Better podcast with host Chris Congdon to discuss why and how managers should encourage employees to speak up about mistakes, ideas, and questions – essentially by creating a psychologically safe work environment. DANIELLE BUSHEN – Navigating Pay Transparency with People Analytics - Danielle Bushen, Global Head of People Analytics Data Governance and Stewardship at Sanofi, joins David Turetsky on HR Data Labs to explore how people analytics intersects with compensation, how to modernise compensation through data-driven practices, and the importance of pay transparency. MATTHEW HAMILTON - How To Master People Analytics and Deliver Insights That Actually Work - Matthew Hamilton, VP of People Analytics & HRIS at Protective Life, joins host Christopher Rainey on HR Leaders to discuss the challenge of delivering actionable insights to leaders - the last mile problem - and the importance of storytelling with data. PAUL RUBENSTEIN AND JOSH BERSIN - What’s Holding Back People Analytics? – Josh Bersin and Paul Rubenstein, Chief Customer Officer at Visier, discuss how the people analytics market has evolved, and why only around 10% of People Analytics teams deliver strategic business value. VIDEO OF THE MONTH LEENA NAIR – View From the Top Leena Nair is that rarity of a chief people officer that rises to the role of CEO having transitioned from CHRO at Unilever to CEO at Chanel in January 2022. In this interview with Ayesha Kamik as part of Stanford’s View From the Top series, Leena shares her inspiring journey with insights from her life and career, including her time in human resources, how to build company culture, her leadership principles, how to break barriers and her thoughts on AI and the future of work. BOOK OF THE MONTH RUSSELL KLOSK – Talent Prophecy: Creating Strategic Impact Through Workforce Planning and Talent Strategy In Talent Prophecy, Russell Klosk (智能虎) provides a comprehensive guide to workforce planning, which should have particular resonance for HR professionals involved in workforce planning activities. The book provides readers with practical and accessible tools to: (1) Analyse your current workforce capabilities. (2) Predict future talent needs across various business scenarios. (3) Create adaptive strategies for talent acquisition and development. (4) Leverage AI and emerging technologies. (5) Build stakeholder support for talent initiatives. RESEARCH REPORT OF THE MONTH ZHEYUAN (KEVIN) CUI, MERT DEMIRER, SONIA JAFFE, LEON MUSOLFF, SIDA PENG, AND TOBIAS SALZ - The Effects of Generative AI on High Skilled Work: Evidence from Three Field Experiments with Software Developers This paper explains the findings from a study to evaluate the impact of generative AI on software developer productivity through analysing data from three trials conducted at Microsoft, Accenture, and an anonymous Fortune 100 electronics manufacturing company. The researchers ( Kevin Zheyuan Cui, Mert Demirer, Sonia Jaffe, Leon Musolff, Sida Peng, and Tobias Salz) found that introducing a generative AI tool to software developers did increase productivity, with less-experienced developers showing higher adoption rates and greater productivity gains. You can also read this summary of the paper by Dylan Walsh: How generative AI affects highly skilled workers. FROM MY DESK November saw the final two episodes of Series 42 of the Digital HR Leaders podcast, sponsored by Workday (thanks to Sophie Barnes and Jennifer Neumann), an article rounding up the key learnings from series 42, and the first two episodes of Series 43, sponsored by TechWolf (thanks Maaike Standaert, Mikaël Wornoo?, Andreas De Neve ?). ANISH LALCHANDANI - The Four Reskilling Principles Every HR Leader Should Know - Anish Lalchandani, Global Head of Talent Management at Maersk, joins me to discuss insights from his book, The Skills Advantage, including why reskilling should be a key component of talent management strategy, the four cornerstones of reskilling, and key metrics to tie reskilling efforts to business value. LARA WAINWRIGHT AND DUNCAN REYNELL - How Digital Transformation Fuels Skills and EX at Lloyds Banking Group - Lara Wainwright, Product Owner and Lab Lead, and Duncan Reynell, Group Talent & Development Director, join me to share how digital transformation is driving Lloyds Banking Group’s shift to a skills-based organisation. SANDRA LOUGHLIN - Building a Skills-Based Organisation: Lessons from a 30-Year Journey – Sandra Loughlin, PhD, Chief Learning Scientist, discusses the lessons EPAM Systems has learned over its 30-year skills journey and how organisations can apply these insights to their own skills transformations. KEITH SONDERLING – Responsible AI in HR: The Ethical Roadmap for Success – For four years, Keith Sonderling was the Commissioner at the United States Equal Employment Opportunity Commission (EEOC). During this time, Keith openly engaged with the HR tech and people analytics community on AI in HR. In this episode, recorded just before Keith’s term ended, we reflect on what AI in HR means for organisations and technology firms, as well as have a broader discussion on discrimination in the workplace. DAVID GREEN - How can organisations use workforce data to drive culture, inclusion and engagement? - A round-up of the key discussions and learning from series 42 of the Digital HR Leaders podcast featuring: Michael Fraccaro, Michael Arena, Jason Scheckner, Anish Lalchandani, Lara Wainwright and Duncan Reynell. SIGN UP TO PARTICIPATE IN THE PEOPLE ANALYTICS NETWORK CENSUS This is a great initiative by Andrew Pitts, Richard Rosenow, Matthew Diabes, PhD, and Stephanie Murphy, Ph.D. Together they have launched the People Analytics Network Census (PANC), which aims to map and understand the global people analytics network, tracking connections across professionals in our field through a single active organisational network analysis. You can find out more about the initiative and sign up to PANC here. LOOKING FOR A NEW ROLE IN PEOPLE ANALYTICS OR HR TECH? I’d like to highlight once again the wonderful resource created by Richard Rosenow and the One Model team of open roles in people analytics and HR technology, which now numbers over 475 roles, and has now been developed into a LinkedIn newsletter too – you can read the latest edition here. THANK YOU Richard Rosenow for including the Digital HR Leaders podcast episodes with Craig Starbuck, PhD and Rob Briner on his Election Day Playlist Veronika Birkheim for including me on her list of experts on LinkedIn to read, listen and follow Thomas Kohler for including the Digital HR Leaders podcast episode with Anish Lalchandani in his excellent list of HR resources Nick Broughton for including me on his list of top 40 voices in the remote work industry. Wolfgang Brickwedde for including me in his article on the Recruiting Tech Highlights of Unleash 2024 OpenHR UK for including the Digital HR Leaders podcast as one of four must-listen to podcasts, along with podcasts by Matt Alder Ben Geoghegan and Lucinda Carney ? Finally, a huge thank you to the following people who either shared the October edition of Data Driven HR Monthly and/or posted about the Digital HR Leaders podcast, conferences or other content. It's much appreciated: Scott Rogers Tobias W. Goers ツ Jordan Hartley David McLean Jaqueline Oliveira-Cella Tim Sharp Delia Majarín Andreea Lungulescu Dart Lindsley Sharna Wiblen Amardeep Singh, MBA Selina Yankson Olivier Vidal Lukasz Sowinski Lenka Máchová Nick Lynn Russ Fatum BS, BS, MSA, MBB, PMP Tanguy Dulac Aurélie Crégut Roshaunda Green, MBA, CDSP, Phenom Certified Recruiter Stephanie Denino Ian Grant FCIPD Purvi Vasani Lewis Garrad Rafael Senise David Simmonds FCIPD William Thai, Ph.D. Olivia Li Md Shahid Ullah Bhuyan Facundo Tomás García Bob Pulver Corine Boon Alessandro Cosentino Jose Luis Chavez Vasquez Kalifa Oliver, Ph.D. Samir Murgude , SPHR®, SHRM-SCP, IHRP-SP Jayashree Shivkumar Dr. Jeeta Sarkar Abbie Gnewuch Zachary Schurmann ?️? Aurangzeb Soharwardi CDIS. CHRP. SAP HCM Aravind Warrier Catriona Lindsay Luis Maria Cravino Kerron Ramganesh Ralf Buechsenschuss David Hodges Ouarda Guergour Marijana Brasiello, MHRM Malgorzata Langlois Amit Mohindra Swechha Mohapatra (IHRP-SP, SHRM-SCP, CIPD) Lore Muraina, PMP, PMI-ACP, CPP Alan Susi Yuyan Sun Sven Hultin Greg Pryor Kathleen Kruse Jaap Veldkamp Aleksandra Borisova, RODP Hrvoje Bulat Jaejin Lee Wayne Tarken Caitie Jacobson Nathalie Kumbrink, PHR®, SAFe® APM Melissa Arronte Nicole Lettich Nils Bunde Mia Norgren Shane Walsh Irina Villacreces, M.S., SPHR, PMP Jaana Saramies ? Stacy Davies Ruben Santos Justin Shemeley Richie Citta Erin Gerbec, Ph.D. Mircea-Stefan Glavici Bri Klein Indre Radzeviciute Alex Paton Ramesh Karpagavinayagam Megan Cox (née Phelps) Natasha Ouslis, PhD Tina Peeters, PhD Joseph Frank, PhD CCP GWCCM Lucie Vottova John Fisher Whitney Giga, PHR, SWP Graham Tollit Dave Millner Nicole Davis Barry Swales Dr. Sebastian Projahn David Littlechild Tatu Westling Philipp Heller Blaine Ames Shujaat Ahmad Irene Wong Greg Newman Adam McKinnon, PhD. Kanwal Safdar Irada Sadykhova Hanadi El Sayyed Tanya Arrowsmith Nabil Dewsi Henrik Håkansson Lina Makneviciute Alejandro Giordanelli Andras Szabo Radka Krempova David van Lochem Andreas Maroulis Ohad Geron Placid Jover Sydney Dolanch Isabel Naidoo Rob Kok Kimberly Rose Nick Hayter Annia Balcazar Cabana Anna A. Tavis, PhD Claire Masson Agnes Garaba Sebastian Kolberg Sabine Bothe Sophia Huang, Ed.D. Mariami Lolashvili Philip Arkcoll Erik Otteson Alexandra Nawrat Kristina Schoemmel Craig Starbuck, PhD Maria Alice Jovinski Toon van der Veer Petra Noble Julia Brandon, PhD Aritra Majumdar Scott Nemeth Shannon Rutledge Gal Mozes, PhD Ken Clar Kelly Monahan, Ph.D. Jacob Nielsen Olimpiusz Papiez Nick Hudgell Sonia Mooney Marcela Mury Christopher Cerasoli Dr. Peter Schulz-Rittich Ludek Stehlik, Ph.D. Craig Forman Kelly Satterfield Perri Ma Anna Gullstrand Victoria Holdsworth Joanna Bloor Pietro Mazzoleni Andrés García Ayala Kristhy Bartels Tim Peffers John Golden, Ph.D. Nicole Hazard Søren Kold Kirsten Edwards Doug Shagam Geetanjali Gamel John Gunawan Jack Liu UNLOCK THE POTENTIAL OF YOUR PEOPLE ANALYTICS FUNCTION THROUGH THE INSIGHT222 PEOPLE ANALYTICS PROGRAM At Insight222, our mission is to make organisations better by putting people analytics at the centre of business and upskilling the HR profession The Insight222 People Analytics Program® is your gateway to a world of knowledge, networking, and growth. Developed exclusively for people analytics leaders and their teams, the program equips you with the frameworks, guidance, learnings, and connections you need to create greater impact. As the landscape of people analytics becomes increasingly complex, with data, technology, and ethical considerations at the forefront, our program brings together over one hundred organisations to collectively address these shared challenges. Insight222 Peer Meetings, like this event in London, are a core component of the Insight222 People Analytics Program®. They allow participants to learn, network and co-create solutions together with the purpose of ultimately growing the business value that people analytics can deliver to their organisations. If you would like to learn more, contact us today. ABOUT THE AUTHOR David Green ?? is a globally respected author, speaker, conference chair, and executive consultant on people analytics, data-driven HR and the future of work. As Managing Partner and Executive Director at Insight222, he has overall responsibility for the delivery of the Insight222 People Analytics Program, which supports the advancement of people analytics in over 100 global organisations. Prior to co-founding Insight222, David accumulated over 20 years experience in the human resources and people analytics fields, including as Global Director of People Analytics Solutions at IBM. As such, David has extensive experience in helping organisations increase value, impact and focus from the wise and ethical use of people analytics. David also hosts the Digital HR Leaders Podcast and is an instructor for Insight222's myHRfuture Academy. His book, co-authored with Jonathan Ferrar, Excellence in People Analytics: How to use Workforce Data to Create Business Value was published in the summer of 2021. MEET ME AT THESE EVENTS I'll be speaking about people analytics, the future of work, and data driven HR at a number of upcoming events in 2024 and early 2025: December 5 - Visier Outsmart Local - Building Your People Data Strategy, London December 10-12 - Workday Rising EMEA, Amsterdam January 23 - The Strategic Outlook for People Analytics in 2025 with Ian Cook and Dawn Klinghoffer (WEBINAR - Register here) February 26-27 - People Analytics World, Zürich April 29-30 - People Analytics World, London More events will be added as they are confirmed. 原文来自：https://www.linkedin.com/pulse/best-hr-people-analytics-articles-november-2024-david-green--aofje/

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