internal mobility - 北美华人人力资源协会

internal mobility

UKG《2026 工作场所三大超级趋势》深度解读：AI、人才生态与赋能时代的组织重塑未来三年企业必须面对的关键变化：AI 加速落地、人才生态系统兴起、以及从员工投入感走向“赋能时代”。报告指出，尽管 78% 的企业已经使用 AI，但 74% 尚未真正获得价值，关键不在技术，而在组织文化、透明沟通与技能差距。全球人才短缺持续恶化，让企业必须建立灵活的人才生态，包括全职、合同工、gig 人才与 AI agents 的协作模式。同时，敬业度已无法支撑组织绩效，高信任、赋能型文化将成为核心竞争力。未来的赢家，将是那些既能用好 AI，又能激发员工潜力的组织。在一个不断被技术与人口结构加速重塑的时代，工作的本质正在悄然改变。企业面临的不仅是数字化带来的流程革新，更是对组织结构、人才模型、管理方式与文化基础的全面挑战。UKG 在《Workplace Evolution: Megatrends Defining 2026 and Beyond》中给出的三大巨趋势——以人为本的 AI、人才生态系统的崛起、以及员工赋能时代的到来——并不是简单的流行话题，而是未来三到五年影响组织持续竞争力的关键支点。本篇深度解读旨在帮助 HR 与业务领导者理解这些趋势的底层逻辑，从而更具前瞻性地重构组织能力。一、AI 的价值不是技术本身，而是“以人为本”的组织设计过去两年的生成式 AI 大热，使得企业纷纷投入大量预算采买工具、建设模型，但 UKG 的数据显示，**尽管 78% 的组织至少在一个业务领域使用了 AI，却有高达 74% 尚未看到可衡量的业务回报。**这与其说是技术问题，不如说是组织心态与适配方式的问题。 AI 的真正价值不在于自动化，而在于释放组织的人类创造力。当重复性的行政事务被系统接管，当手册查询、福利理解、排班与可用性管理不再消耗大量精力，员工便能把时间与认知投入到更具意义的沟通、创新与复杂决策中。然而，要实现这一目标，组织必须跨越两个核心障碍：其一是员工对 AI 的不安情绪，其二是技能差距导致的“会用但不敢用”“敢用却不会用”。报告显示，75% 的前线员工愿意让 AI 处理某些任务，但只有 38% 真的使用 AI，原因在于组织很少提供明确的目标、培训与安全感。尤其对于担心被取代的前线员工而言，透明沟通比任何技术部署都更关键。企业需要说明“为什么用 AI、AI 能做什么、不能做什么”，让员工看到 AI 是赋能工具，而不是削减劳动力的信号。 AI 的时代已经到来，但 AI 真正的竞争力属于那些愿意重新设计人机协作方式、并把员工视为核心主体而非配角的组织。二、人才短缺时代的答案不是加快招聘，而是构建“人才生态系统” 全球人才短缺已成为不可逆现实。UKG 援引 ManpowerGroup、制造业与零售业数据指出：74% 的企业找不到所需技能人才，90% 的制造企业因人力不足影响利润，零售行业同样面临巨大压力。然而，企业若依旧把人力规划等同于“填补岗位”，将愈发难以应对波动的市场与不断扩张的技能差距。UKG 提出的关键词是 “人才生态系统”，意味着组织不再仅依赖全职员工，而是可以同时调动：全职与兼职员工合同工、临时工 gig 灵活用工内部流动人才 AI 劳动力（AI agents）未来的组织将不再以岗位结构为核心，而是围绕“技能 × 任务”的动态组合方式运作。企业首先要做的不是招聘，而是盘点现有人才：谁具备可迁移的技能？谁能通过短期培训承担更高价值的工作？哪些任务适合交给 AI 或合约人才完成？这种“去岗位化思维”正在成为组织敏捷性的核心。然而挑战在于，多数企业尚未具备这种能力——**32% 的 HR 没有追踪员工技能的系统，57% 的 HR 没有内部人才 marketplace 工具。**这意味着企业内部大量潜力被浪费，甚至导致员工因为看不到成长路径而离开。人才生态系统的构建不仅提高效率，也是对抗人才荒的关键策略。组织必须从“招聘驱动”转向“技能驱动”，让人才在组织内部流动，而不是不断流失。三、从“投入感”走向“赋能时代”：真正提升绩效的不是 engagement，而是 enablement 过去十年，员工敬业度（engagement）几乎成为 HR 的 KPI，但现实是：敬业度不升反降。Gallup 的数据显示，2024 年全球敬业度下降至 21%，并造成约 4380 亿美元的生产损失。UKG 指出，造成这一趋势的根源在于组织文化的不信任、管理方式的控制性，以及员工缺乏自主权与资源。因此，报告提出一个更具变革性的方向：员工赋能（Enablement）。赋能并不是“员工开心就好”，而是让员工：具备完成工作所需的资源拥有决策空间能够掌握信息感受到信任拥有成长与贡献机会在组织文化中，当控制减少、透明度增加、心理安全感提升时，员工才真正能够发挥最大价值。UKG 数据显示：**高信任文化可带来 42% 的额外投入（discretionary effort）。**这意味着赋能并非“软文化”，而是实实在在的绩效驱动因素。然而，目前仍有大量组织存在“双重文化”——**47% 的前线员工认为企业对高层与基层执行不同标准。**这正是导致投入感低迷与员工流失的关键原因之一。因此，赋能时代要求组织在制度、工具、沟通与文化上实现一致性，特别是为前线员工提供可访问的数字工具，让他们不再被排除在信息链之外。赋能不是 HR 的福利项目，而是战略能力。未来的组织竞争，不仅是技术与人才的竞争，更是文化与信任的竞争。四、中小企业（SMBs）更需要理解这些趋势，因为它们影响更直接、速度更快 UKG 在报告中专门为中小企业做了解读。相比大型企业，SMBs 的结构更简单、灵活性更高，因此也更容易从 AI、人才生态与赋能模式中获益或受损。 AI 可以成为 SMB 的“副驾驶”，自动化大量行政工作，让本就精简的团队把时间投入到高价值工作中。但这种价值要实现，必须让员工理解它、愿意用它并具备使用能力。人才生态系统对于 SMB 的意义则体现在成本敏感度上：通过灵活用工与技能透明化，可以避免过度招聘，保持组织弹性。而赋能机制更是提升员工留存与忠诚度的关键，在小团队里任何人的流失都可能带来直接损伤，因此“赋能＝韧性”。 SMBs 未来最重要的不是“规模”，而是“敏捷性”。而敏捷性来自技术支持、人才灵活性与文化信任三者共同作用。五、未来三年 HR 的关键任务：重建“技术×人才×文化”的组织能力 UKG 的结论是明确的：未来的工作不是被动变化，而是主动重塑。组织必须同时具备三种关键能力：第一，AI 增强能力（AI Augmentation）——让技术真正融入工作流，而不是停留在工具层面。第二，技能驱动的人才策略（Skills-based Workforce Strategy）——用技能替代岗位思维，实现内部流动与敏捷配置。第三，赋能型组织文化（Enablement Culture）——以信任、透明、自主为核心，实现从“管理劳动”到“激发潜力”的转变。未来不属于技术，而属于能把“人 × 技术 × 数据 × 文化”融合成新型组织能力的企业。正如 UKG 在报告结尾强调的：“工作正在被重塑，无论组织是否准备好。”那些主动构建未来能力的企业，将以更快速度适应变化、抵御波动，并在竞争中保持持续优势。

internal mobility
2025年12月10日
internal mobility

Why AI is now HR’s business Could the AI revolution also herald a revolution in HR? Generative AI is leaving many businesses in a fix. On the one hand, the potential of the technology is strikingly obvious. Since ChatGPT debuted to the public in late 2022, AI has made extraordinary advances. Coding tools can spin up micro apps from a simple prompt. Chatbots can produce instantaneous research. Video models can create studio-grade clips. Tools like these can supercharge all kinds of work, whether it’s helping create a whole marketing campaign or simply assisting an individual reason through a thorny problem. One estimate sizes the corporate opportunity at $4.4 trillion globally. Yet it can be bewilderingly hard for enterprises to realize those gains. Studies show that generative AI is having limited impact on productivity. Many organizations find themselves either stuck in pilot purgatory, or rolling out initiatives that fail to deliver ROI. Others don't even know where to start. This issue is especially pronounced for smaller enterprises. In fact, research suggests that AI is seen as the number-one challenge by four out of five small business leaders in the UK. Small firms are half as likely to have implemented it compared to larger companies. And within the small companies that have adopted AI, usage is often uneven. Seventy three percent of senior managers use it at least once a month, compared with only 32 percent of entry-level employees. This creates what Kevin Fitzgerald, UK Managing Director of the all-in-one employment platform Employment Hero, calls the “AI advantage gap.” “AI is only delivering productivity gains for some, and that’s a huge problem,” he says. “For technology to drive meaningful change, it needs to be in the hands of everyone.” Human resources (HR) departments are uniquely positioned to help manage some of the challenges around AI adoption. That’s because taking full advantage of the new AI tools available to organizations is more than just an IT project. “AI is all about job redesign, new skills, new organization structures, and new roles for leaders,” says Josh Bersin, a respected HR industry analyst and CEO of HR consultancy The Josh Bersin Company. “HR people are essential as part of companies’ AI transformations.” In practice, this kind of project tends to be easier for smaller businesses, which have fewer employees and less organizational complexity to disrupt. Bersin says that Chief Human Resources Officers (CHROs) now frequently lead AI-based organizational redesigns. Going further, almost two thirds of IT decision-makers expect their HR and IT teams to merge in the next five years, according to a recent survey. This is already happening at companies such as Moderna, the biotech firm with more than 5,000 employees, which now has a single leader covering both. “HR has a once-in-a-generation opportunity to reshape the future of work,” says Fitzgerald. “And it’s important to get this right. Bad AI rollouts can slash personal productivity in half.” So what does HR-led transformation look like in practice? Here we spotlight three ways HR leaders can set their organization up for AI success… 1. HR as pioneers Leading on AI transformation means deeply understanding training needs, integration challenges, employee resistance and—fundamentally—how and where AI offers value. This means HR professionals need real experience of those things themselves. There are many HR tasks to which both traditional machine learning and generative AI is well suited. Much of the press buzz is around recruitment—using AI to source candidates, screen CVs, and automate parts of the application process—but its impact can be much broader. The creative and communication side of the job is a natural fit for the capabilities of large language models (LLMs), which excel both in summarizing and expressing information. Whether it’s drafting job descriptions, communicating complicated policies in plain language, or managing the team’s internal knowledge, there’s plenty that an LLM can help with (so long as it offers appropriate privacy assurances). There are a range of options for deployment, from buying tools that package up an LLM for delivering on a specific use case—such as offering AI training programs or building FAQ chatbots—to simply subscribing to a frontier AI assistant like ChatGPT. The most immediate benefit is the potential gains for the HR team itself. Handing off repetitive tasks to AI can free up time. But it’s also the baseline for any HR team that is planning on leading the way in a business’ AI transformation, because credibility will be vital. That’s not to say that it should only be HR leading the charge on AI—Bersin says that more often than not having a dedicated committee with representatives from HR, legal, and IT is most effective—but it’s a necessary criterion for playing a central role. “It’s about leading by example,” says Fitzgerald. “People don’t want technology forced on them—they want to see its benefits, and be given the freedom and encouragement to explore it.” Of course, much of HR’s AI usage will be internally facing, so there’s a comms job to be done. “My advice to the HR leader would therefore be: share,” says Fitzgerald. “Share the wins that you've had, and actually put them out there to the broader business.” 2. HR as culture definers Establishing the right culture around AI is vital. “It’s the missing link in AI adoption,” says Deepali Vyas, Global Head of Data & AI at global talent advisory firm ZRG. There are two crucial reasons for this. The first is that when a company chooses to roll out AI, it can create ill feelings. People can fear it’s a prelude to cost cutting and job losses. Of course, an organization may be planning to downsize—but equally it could be planning to do more with the same number of people. Whatever the plan, be transparent. If nobody needs to worry about their jobs, tell them. If a restructure is likely, fair dealing and honesty can go a long way to attenuating resentment. HR has the authority and the skills to lead on conveying this information in the most effective and appropriate way. The second reason concerns “shadow AI.” This is where employees use AI tools of their own without telling management, either because they fear for their jobs or because they view AI as a shortcut and don’t want to pull back the curtain on how they get things done. Shadow AI is already widespread; the security firm Varonis estimates that up to 98 percent of employees use shadow AI or shadow IT in some capacity, with employees hiding their AI use out of fear of their employer's reaction. While the primary risks of shadow AI are to do with security and privacy, there is also a more systemic drawback. Top-down AI tool implementation can be important, but companies that don’t also tap into the wisdom of the crowd will miss out on AI opportunities. Generative chatbots are general-purpose tools with the most open-ended interface possible: there are countless different ways to use them, and the people best placed to figure out how this kind of AI can help your business are the people who work there. But you can’t enjoy the fruits of their experiments if they are unwilling to share how they’re using it and what they’re discovering as a result. “You really need to bring shadow AI use to the surface,” Vyas says. “In any case, banning or ignoring shadow AI is not going to make it disappear. It's only going to drive it further underground.” Bringing it out into the light is, again, a question of culture. If IT owns guardrails and platforms, and the C-suite owns vision and accountability, HR owns the people and behaviors piece. In addition to quelling fears that revealing AI usage will jeopardize jobs, HR needs to create forums to encourage sharing across all teams. This could take the form of workshops and hackathons or simply dedicated channels on Slack. There should also be incentives, so that individuals who come up with approaches that create meaningful value are well remunerated for their contributions. “There's a lot of fear versus empowerment,” says Vyas. “HR’s cultural mandate is building a culture of AI fluency, normalizing AI as a partner in work and to build trust around its use.” 3. HR as organization designers AI transformation is not just about rolling out the tools. You need teams with AI literacy, skills and mindsets—teams that are open to new ways of working and to reimagining workflows that have perhaps remained unchanged for decades. You may also need to create new roles like a Chief AI Officer, or hire specialist software developers. “It's about building that future-ready workforce,” says Vyas. HR’s expertise in recruitment and training will be crucial in this effort—only half of employees in SMEs believe their company has done a good job instilling technological know-how—and AI itself can play a powerful role in making a success of it. Forward-thinking organizations weave AI into workforce management, from how workers move internally to how they train and learn, Vyas says. “There’s personalized learning journeys, there's internal mobility recommendations, there's workforce planning tied to all of these business scenarios.” As they scale, companies may wish to rethink their org charts in light of AI. The traditional triangular org chart has been a mainstay since Brigadier General Daniel McCallum unveiled the first example in 1855. But many commentators believe that new architectures will coalesce to reflect how people work best with AI. Microsoft’s Work Trend Index Annual Report 2025 argues that the org chart will be replaced with a “Work Chart,” which it describes as “a dynamic, outcome-driven model where teams form around goals, not functions, powered by [AI] agents that expand employee scope and enable faster, more impactful ways of working.” In practice this means a flatter, more flexible operating model. Firms that have harnessed AI in this way report having more satisfied, more optimistic employees. HR will need to play a pivotal role in managing any such transformation. “That’s not only because most savvy HR leaders are also very good at change enablement,” says Bersin, “but also because this clearly would have implications for pay models, reward systems, and leadership pipeline.” What’s more, Microsoft argues that in a Work Chart world, orchestrating the interplay between humans and AI agents—and getting the balance right—is going to be an emerging area of responsibility for HR. In discharging this duty, they will need to collaborate more closely than ever with technical teams. This shift may seem radical. But, as the aphorism has it, it's easy to underestimate the long-term effects of new technologies. Vyas believes this kind of business architecture will just be “the new normal—and sooner than we might think”. 原文：https://www.wired.com/sponsored/story/employment-hero-why-ai-is-now-hrs-business/

internal mobility
2025年11月28日
internal mobility

隐性的人才危机：Workday《2025全球劳动力报告》解读概述：Workday最新发布的《2025全球劳动力报告》揭示了一场正在组织内部酝酿的人才危机。虽然外部招聘市场依旧活跃，职位需求在2025年上半年同比增长6%，但内部情况却截然不同：晋升率在10个行业中的11个下滑，内部招聘减少8%，员工发展通道受阻。尤其值得关注的是，高绩效员工正加速离职——零售行业同比上升64%，医疗健康行业上升28%，这对企业的韧性与创新能力构成严重威胁。报告指出，传统职业晋升路径正在失效，企业更倾向于招聘外部候选人，而内部员工缺乏成长与轮岗机会，导致敬业度和忠诚度下降。同时，AI战略的沟通不畅进一步加剧了焦虑。44%涉及AI的员工评论带有负面情绪，55%的求职者认为AI已经减少了就业机会。管理者在转型中承受巨大压力，但缺乏工具和支持，形成了“夹心层”困境。应对这一危机，报告提出三大方向：一是重塑职业发展路径，提供横向调动、项目轮岗和技能提升机会；二是优先推动内部流动，利用数据与AI匹配人才与岗位；三是加强透明沟通，特别是围绕AI的愿景与应用，帮助员工将AI视为成长工具而非威胁。Workday自身的案例表明，以人为本的AI应用能够提升生产力与员工信心，增强战略一致性。报告的核心结论是：未来的人才竞争关键不在于“外部招聘更快”，而在于“留住最好的人”。只有通过重建内部信任与成长路径，企业才能在AI时代保持竞争优势。在全球劳动力市场看似稳定的表象之下，一场深层次的人才危机正在酝酿。Workday在其最新发布的《2025全球劳动力报告》中揭示了一个值得企业高度警惕的事实：外部招聘依旧活跃，但组织内部的人才发展体系正在崩塌。晋升机会锐减、内部流动停滞、高绩效员工加速出走，再加上AI战略沟通不足带来的焦虑感，正在形成一股“隐性的离职潮”，对企业的竞争力和未来发展构成巨大威胁。本文将围绕报告中的关键发现和建议，进行深入解读。外部市场的表象繁荣与内部困境的对比报告指出，从宏观数据看，全球招聘需求仍在上升。2025年上半年职位需求同比增长6%，某些行业甚至保持了高速扩张。例如，酒店业职位需求同比增长61%，科技与通信行业增长29%。这说明企业仍在积极寻找外部人才，尤其在疫情后快速复苏的行业中表现明显。然而，与外部的繁荣相比，组织内部的情况却显得格外冷清。内部晋升率在过去一年下降了8%，10个主要行业中有11个出现了“晋升衰退”。这种外部热、内部冷的矛盾，正是当前人才危机的根源。表面上的招聘火热掩盖了内部人才管理的空心化，员工缺乏成长与发展的空间，导致敬业度下降和离职意愿增强。高绩效员工的加速流失报告中特别强调，高绩效人才正成为离职的“主力军”。在零售行业，高绩效员工的离职率同比增长64%。在医疗健康行业，这一数字也高达28%。这意味着，最能创造价值、推动业绩的员工正在大量流失。他们离开的原因并不是外部市场更具吸引力，而是内部缺乏清晰的成长通道和发展空间。换句话说，他们不是“不想留下”，而是“留不下去”。更为严重的是，这种趋势不仅仅是人员流动问题，而是组织韧性的流失。高绩效人才的离开往往带走了关键知识、客户关系和创新动力，对企业的打击远大于普通员工离职。晋升衰退与职业发展死胡同 “晋升衰退”（Promotion Recession）是报告中的高频词。晋升率下降意味着员工在组织内部看不到未来。内部调动和横向发展机会不足。企业管理者更倾向于招聘外部候选人，而不是信任和培养内部人才。这种倾向表面上似乎有利于引入新鲜血液，但长期而言削弱了组织的忠诚度和凝聚力。员工如果在企业中无法获得横向调动、跨部门学习或参与关键项目的机会，就会感到被忽视，最终选择跳槽。因此，报告提出“重塑职业发展路径”的理念：不仅要提供纵向晋升，还要设计横向项目轮岗、技能提升和跨部门合作，让员工在不同的成长维度中保持挑战感和价值感。 AI战略沟通不畅引发员工焦虑 AI正在重塑工作方式，但报告揭示出另一个被忽视的问题：AI战略的沟通不畅。 44%涉及AI战略的员工评论带有负面情绪。 55%的求职者认为AI已经减少了就业机会。近一半员工表示，他们对AI如何影响岗位和未来缺乏清晰理解。这说明，虽然企业高层有明确的AI发展愿景，例如利用AI提高效率、减少低价值劳动、提升客户体验，但普通员工并没有从中看到自己的位置和未来。缺乏清晰沟通，使得AI不再是机遇，而成为焦虑的来源。报告指出，AI的引入不仅是技术变革，更是文化转型。如果企业不能通过透明沟通、清晰的角色案例和系统性的培训来解释AI的作用，就会在组织内部制造恐慌，削弱员工对未来的信心。管理者承受转型压力在AI转型中，管理者的角色尤为关键。但数据显示，许多一线管理者缺乏足够的资源和支持：他们在“变革资源和支持”的打分仅为7.06分。在“风险评估”和“变革理由阐释”等维度上，得分也低于个人贡献者。这意味着，管理者既要应对来自上层的战略压力，又要安抚基层员工的焦虑，却缺乏相应的工具和培训。这种“夹心层”的困境进一步拖慢了AI转型的步伐。案例启示：Workday的EverydayAI计划报告中引用了Workday自身的案例作为参考。通过“EverydayAI计划”，Workday在六个月内实现了显著成果： 80%的员工使用至少一款AI工具，比基准提高38%。高绩效员工使用AI的可能性是其他人的两倍。使用AI的员工更可能看到清晰的职业路径，并表现出更强的战略一致性。这一案例表明，以人为本的AI战略不仅能提升效率，更能增强员工的归属感与成长感。核心在于将AI转型与文化、沟通和技能建设结合，而非仅仅依赖工具部署。报告建议：重建内部信任与成长路径为应对这场隐性的人才危机，报告提出了三大建议：优先内部成长提供可见的、个性化的职业发展机会。将晋升、横向发展和技能培训与业务需求挂钩。透明沟通战略方向特别是关于AI的应用和影响，要保持一致、开放的沟通。让员工理解AI并非威胁，而是成长的工具。以人为本的AI应用将AI用于释放员工时间、发现潜在机会、提升自主性和归属感。建立反馈循环，帮助员工在使用中不断积累信心。结语：人才危机的关键在“内部” 从宏观角度看，2025年的劳动力市场依旧活跃，但企业面临的真正挑战不在外部招聘，而在于内部人才体系的裂痕。晋升衰退、人才流失和AI焦虑并非孤立事件，而是信任和沟通不足导致的系统性问题。未来的人才竞争不再仅仅是“招聘更快”，而是“留住最好的人”。这需要企业在AI时代重新定义职业发展与组织文化，让员工能够“在企业中成长”，而不是“绕开企业成长”。换句话说，解决隐性的人才危机，核心不在技术，而在人心。

internal mobility
2025年09月12日
internal mobility

Josh Bersin: 随着经济放缓，关注未来的技能：改变的能力本周，我们看到美国失业率“上升”到 4.3%，经济学家开始呼吁降低利率。对于那些每天与公司和领导者交流的人来说，我会说我们正经历一个正常的经济周期。上一次重大衰退（不包括疫情，因为那不是需求放缓）是在2008年和2009年。这意味着我们已经有近16年没有经历严重的经济周期了，几乎是通常周期的两倍。虽然疫情确实让公司放慢了脚步，但我们迅速恢复了。所以从失业率来看，它大致是这样的。在经历了50年的失业率变化后，目前的失业率比五十年前降低了12%，这让我得出结论，我们正生活在“长期劳动力短缺”中。同时，美国的GDP在此期间增长了1500%。虽然我们目前的GDP增长可能有所放缓（我认为这是由消费者价格使我们耗尽了支出引起的），但实际上我们只是看到从“工业化、高劳动密集型企业”向所谓的“后工业化”公司的长期转型，这些公司往往需要更少的“工人”和更多高技能员工。（阅读我们的后工业时代研究。）仍然有大量的小时工工作：护理、医疗、交通、建筑、零售、娱乐、能源和许多其他行业依赖各种类型的“劳动”工人。这些工作随着时间的推移变得越来越自动化，导致工资提高和技能升级，但美国仍有约63%的工人没有大学学位，其中大多数人找到了工作。虽然每个人似乎对英特尔、UKG, Intuit或其他“与AI相关”的裁员感到有些恐慌，但美国经济的反应良好。我知道许多公司正在试验AI和其他技术，每个公司都担心失去有价值的人才，因为劳动力市场依然竞争激烈。是的，一些公司会进行裁员。通常这是由糟糕的领导、糟糕的规划或只是对投资者的本能反应引起的。最终，随着出生率保持在低水平，我们仍将面临劳动力短缺，人的价值将继续上升（正如我过去指出的，裁员并非不可避免）。在过去的三周里，我与欧洲超过20家大公司会面，每家公司都在投资于员工发展、技能再培训、内部流动性和提高生产力的项目。在欧洲，裁员既困难又昂贵，因此公司感受到劳动力短缺的压力，他们仍在投资员工。至于消费者需求开始下降，我们正面临一个“长期结束”阶段，这是由高价格的延续引起的。消费者对过去五年的高价格感到厌倦，而在此之前，我们经历了近十年的零利率时期，房价和大多数资本品价格持续上涨。现在这两个因素都结束了，我们只是回到了更正常的经济状态。换句话说，如果你因为“可以”而提高价格，最终你将付出代价，当消费者反抗时。如果你停止投资于员工，他们会“悄然离职”或另寻他处。这些是我认为的“正常商业经济”，我认为我们正看到这种正常性的发生。作为一个动态组织运营当然，最大的“趋势”是各行业的数字化和AI革命。汽车制造商被“虚假”引导进入电动车领域，发现混合动力发动机、数字相机和电子产品以及新的购车方式非常具有破坏性。出版商正在找出如何应对AI平台，这次他们保留了自己的知识产权并协商了许可协议。能源公司正在慢慢转向新来源，其他公司都在找出如何实现数字化、AI赋能，并进一步简化我们生产和销售的产品。这都是商业的“激动人心的工作”，一切都与成为一个动态组织有关。我们的研究指出，以动态方式运营完全是关于人。经济，通常以周期性变化（通常由过度兴奋和随之而来的疲惫引起）为特征，只是需要应对的事情。对于我这样经历了许多这种高峰和低谷的人来说，当事情不再上升并且我们看到一些冷却期时，我总是感到有点“解脱”。是的，股市可能会暴跌。它总会在某个时候发生。但那实际上是“众包”效应，通常与我们的公司无关。如果你照顾好你的客户，投资未来，迅速学习AI和所有新技术，你将顺利过渡。正如许多HR领导本月与我谈到的，你的成功很大程度上取决于人。未来的技能很明确：推动变革的能力今天我与一群我们每隔几周就交流的HR领导进行了一次有趣的会议。每一位CHRO和其他领导都告诉我们，他们正在投资于员工的“变革管理”和“业务转型”技能。这意味着什么？这意味着这样。虽然我们都希望公司有更多的工程师、制造专家、科学家和销售与营销专家，但我们最需要的“技能”是“推动变革的能力”。这种特定的技能非常复杂，需要时间来学习，并且在当前尤为重要。这引出了我的最后一点。如果你是图凡·厄金比尔吉，劳斯莱斯的首席执行官，你正处于业务转型的过程中，旨在推动工程效率和卓越，你不仅要担心工程师。你要担心那些能够推动、领导、激励和创造变革的人。我相信，这些就是大家常谈的“未来技能”。如果你作为一个专业人士、经理或领导者真正知道如何“推动和执行变革”，这些经济周期在你的职业生涯中只是“一个小波折”。在与HR领导交谈超过30年并在许多周期中经营我们自己的业务后，我敦促你“不要过于担心”这些大的经济数据。我们正生活在一个每个公司中每个人的经济价值飙升的时期。投资于你的员工和自己，随着经济的变化，你会做得很好。 https://joshbersin.com/2024/08/as-the-economy-changes-focus-on-the-real-skills-of-the-future/

internal mobility
2024年08月03日
internal mobility

是时候重塑人才招聘了 -Research Shows It’s Time To Reinvent Talent Acquisition Josh Bersin 的文章 "研究表明，是时候重塑人才招聘了 "强调了人才招聘亟需进行的变革。由于只有 32% 的人力资源高管参与战略规划，而且许多人觉得自己只是个接单员，因此这篇文章呼吁进行战略改革。在劳动力短缺和急需技能型招聘的情况下，目前削减成本和减少招聘力度的方法与对技能型专业人才日益增长的需求相矛盾。文章敦促企业将人才招聘作为一项重要的战略职能，利用现代技术并将其与学习和发展相结合，以提高效率并关注内部人才流动。原文如下： This week we published a disappointing research study, Talent Acquisition at a Crossroads. The study, conducted in partnership with AMS, points out that talent acquisition leaders (this is a senior position) are largely left out of their company’s strategic planning process and many feel they operate as “order takers.” In today’s world of labor and skills shortages, this is a wakeup call for change. Here’s the data: Among these 130+ HR executives only 32% are involved in any form of strategic workforce planning, 42% believe their company has no workforce plan at all, and 46% say “they’re running around to keep up.” And when layoffs do occur, often the recruiters go first. (Witness Tesla this week.) All this is happening in a world where 58% of companies feel skills shortages are significantly impacting their business plans, more than three-quarters believe they must transform their talent practices to grow, and “skills-based hiring” is a top priority yet difficult to implement. Here’s the paradox: companies are cutting their talent acquisition spending at the same time CEOs feel that skills shortages are getting worse. What’s going on? Talent Acquisition Needs A Reinvention Let’s just face it: recruiting as a business function has to change. Once considered the “staffing department,” where companies posted jobs and scanned resumes, talent acquisition has become highly strategic operation. What skills do we need? How do we find people who will fit our culture? What internal candidates should fill our key positions? Who are the right leaders for us to hire? Unfortunately, almost 80% of talent acquisition functions are quite tactical. PwC’s CEO survey found that CEOs rate “hiring” as the third most bureaucratic process in their companies, tied with “too many emails” and “too many meetings” as a time-wasting process. And that explains why two-thirds of TA leaders are being asked to cut costs. I had a conversation last week with a former TA leader for one of the Big Three automakers. He told me that in the fervor to hire staff for EV engineering he was asked to hire “any engineer he could find, regardless of skill,” because the company was in such a hurry. No time for skills assessment, competitive planning, or even location analysis. Just “go out there and hire engineers.” We have been studying the auto industry as part of our GWI study and found that important EV roles (reliability engineer or power plant engineer, for example), are quite specialized and hard to find. Strategic recruiting departments need to understand these roles and source these individuals carefully. Just hiring engineering grads from a local community college is not going to move this needle. (Consider the data by Draup on what these roles are. Talent Acquisition teams with talent intelligence skills can pinpoint who to hire.) And it gets worse. In our Dynamic Organization research we found that high performing companies focus heavily on internal hiring, talent intelligence tools to find hidden talent, and continuous internal development to fill skills gaps. We can’t simply throw job requisitions over to the recruiting function any more: the people we need may be buried inside the company. This week Tesla announced a layoff of 10% of their workforce. Was their time to balance and redeploy talent internally? Absolutely not. According to my sources every business unit had to let 10% go, and and many of the people being fired were talent acquisition leaders, the very people who help with these issues. We talk with many HR executives and there is an enlightened group. Companies that understand this issue (about one in eight) have elevated Talent Acquisition to a strategic function, they merge or integrate TA with L&D, and they redefine their recruiters as “talent advisors.” Mastercard, as a leader, just renamed their recruiters as “Career Coaches,” demonstrating their role in helping people find the right jobs. Despite the onslaught of AI, this role is becoming even more human-centric. High-powered recruiting teams source internal candidates, understand company culture, and have a deep knowledge of jobs, roles, and organizational dynamics. When well supported and trained, these professionals are strategic advisors, not just “recruiters.” And companies that understand this often outsource or automate much of the administration in recruiting. Technology plays a major role in this reinvention. Most large companies have dozens of legacy systems, many of which make the candidate experience difficult. When organizations focus on modernizing and streamlining their technology, talent acquisition can become 10-100X more efficient. This, in turn, gives recruiters and talent advisors the time to search for the right skills, carefully select the best candidates, and focus on internal hiring and development as a strategy. Technology Is Here But Not The Entire Answer Of all the HR technology markets, recruiting is the most innovative of all. New AI-powered systems like HiredScore (just acquired by Workday), Paradox (leader in conversational AI), Eightfold, Gloat, Draup, and Lightcast (pioneers in talent intelligence), and many others can reduce time to hire from months to weeks and weeks to days. But none of this technology works if the Talent Acquisition team is left on an island. In the last year I have met with more than 50 heads of talent acquisition and once the door is closed and we talk honestly, they always tell me the same thing. “We are not treated as a strategic function, we are being asked to cut costs, and we are constantly running from fire to fire to keep executives happy.” This type of “service-delivery” focus simply will not work in the new economy. What should companies do? As part of our Systemic HR initiative, we help companies evolve their TA Function to operate in a more strategic way. Organizations like Bayer, Verizon, and many others have elevated the role of recruiter to talent advisor, they’re building skills in talent intelligence, and they’re integrating the recruiting function with L&D, career management, and employee engagement. I’ve always felt that recruiting is the most important things HR professionals do. If we can’t get the “right” people into the company, no amount of management can recover. But what does “right” mean? And how can we source, locate, and attract these particular people? This is a highly strategic operation, and one that must integrate with internal mobility, culture, and employee experience. I encourage you to read our Systemic HR research, join our Academy, or reach out to us or AMS for advice. In this new era of talent and skills shortages, we simply cannot run recruiting in this tactical way any longer.

internal mobility
2024年04月24日

internal mobility

Josh Bersin :劳动力市场已完全改变：您真的准备好了吗？ Josh Bersin 最新撰文谈到，随着以婴儿潮一代为主的劳动力队伍的衰落和具有独特期望和职业模式的新一代的崛起，劳动力市场发生了巨大的变化。这一新劳动力的特点是偏好组合职业和副业，他们要求尊重、灵活性和精心设计工作的机会。企业在适应这些变化时面临着挑战，职位普遍空缺，人员流动增加。文章强调，企业需要采用一种动态的组织模式，优先考虑授权、内部流动性和员工积极性，以便在这个新的劳动力市场中茁壮成长。这种适应的关键在于了解劳动力现在寻求的是成长、灵活性以及他们的价值观与工作之间有意义的结合。英文原文如下，推荐了解 The labor market has changed before our eyes. Employers and HR teams better watch out. Over the last five decades baby boomers defined the workforce. Today things could not be more different, and this change impacts all of us. I was born in the 1950s, growing up in a world where the middle class experienced steadily increasing standards of living. My father was a scientist, my mother sold art, and my brother and I had a nice middle-class life. This included a three stage career: education | work | retirement. I went to college, studied hard, and got a good job as an engineer. My career went on a predictable path. I worked for Exxon and then IBM – each company giving me training, development, and potential for long-term career. I met many great people, learned about work, got married and had a family. My cohort, the baby boomers, was huge. Companies built entire talent systems for us – onboarding, training, predictable career growth, developmental assignments, leadership development, and retirement programs. We strapped ourselves in and enjoyed the journey. Fast forward to now: things are very different. Today’s working population bulge (median age 33, born in the early 1990s,) entered the workforce in a disrupted world. They joined companies during a boom, experienced the pandemic in their 20’s, and live in a world where everything is on the internet. While my generation revered our employers, these workers see every corporate mistake in real-time. They expect their bosses to earn their respect, otherwise they’ll “quietly quit” or start moonlighting on the side. While my generation expected to work for only a few employers during a career, today people build what Lynda Gratton calls “a portfolio career.” More than 2/3 of workers have side-hustles and their resume is filled with projects, businesses, activities, and professional interests. If you look at the LinkedIn profiles of most high performers they look like personal journeys, far different from the linear career paths we had in the past. While most of these changes came slowly, the end result is profound: the expectations, needs, and demands of workers are different. And businesses have struggled to keep up. Companies have vast amounts of unfilled positions, we suffer high turnover in almost every role, and labor unions are growing in number. What do companies do? We have to accept and understand that the labor market has totally changed. We live in a world where employees will live into their 100s. Young workers are postponing getting married and having children and they see their career as a long series of experiences. The norms of a long-term linear career have ended: people try new things, change industries, and live in what I call a “pixelated” job market. And rather than blindly trust employers, people bring high expectations to work. Young workers don’t expect to “become the job,” they want the job to “become them.” (Often called “job crafting.”) And given the shortage of workers in every role, this trend is just getting bigger. While economists believe the job market will soften and employers will have more power over time, I think those days are over. Life just isn’t going back to the way it was. Despite the growth of AI, companies are more dependent on their workforce than ever. And with 70% of the jobs now service-related (healthcare, retail, hospitality), employees really are our product. I look at it this way. Companies and employers live in a pool of labor: it’s the needs and expectations of people who decide what we can and should do. People are upset about inflation. They’re worried about climate change. They want CEOs to behave ethically. And they want flexible work that lets them live a joyful life. And every year the workforce becomes more educated and connected. (The percentage of US workers with degrees has gone up to 54%, up from 38% fifteen years ago.) People know about the company’s financial results or other issues far before an announcement even comes out. While many of these trends are obvious, many companies aren’t ready. Last year I talked to the CHRO of Boeing and he told me the problems were highlighted by employees years ago. They simply were not listening, and now they’re a company in crisis. And that leads to the topic of “employee activation.” In the old days senior leaders made decisions, workers carried out the orders. Ideas and strategies were “top-down.” Today much of the intelligence we need to grow our companies is sitting with front-line workers. We need to “activate employees” and listen to them directly. The worker in the store, plant, or front office who feels frustrated by some system or process is the person who should advise us what to do. The old idea of “management by walking around” must come back. (Our Org Design Superclass explains this in detail.) I don’t mean chaos, holacracy, or lack of controls. Successful companies have a clear mission, a series of strategic initiatives, and budgets to hold people accountable. But they empower everyone to be a leader, unleashing power from the bottom up. (Come to Irresistible and learn about how Marriott and Delta airlines exemplify this model.) The key is building what we call a “Dynamic Organization” – one which is flat, team-centric, connected, and accountable. Our research shows that only 7% of companies operate this way: most are still very hierarchical and slow to adapt. But change is coming, as companies like Delta, Marriott, Telstra, Unilever, Novartis, Seagate, and Bayer have found out. (This week the CEO of Bayer announced a radical transformation to a team-centric management model, dramatically reducing the number of “bosses.”) A dynamic organization does two things well. First, it adapts to change, sees new markets, and mobilizes quickly for change. But even more importantly, it empowers people, encourages internal mobility, and focuses on meritocracy, skills, and collaboration to thrive. (Read about Talent Density to learn more.) While these ideas are not new, urgency is critical. Employees demand growth, flexibility, and agency – and we can’t deliver it unless our reward and development systems change. Today more than 70% of US jobs are in the service sector: health care, retail, entertainment, and transportation. If we don’t empower people in these roles our products and services will suffer. Let me conclude with this: we just woke up in a totally new labor market. If you don’t focus on empowerment, growth, and employee activation, talent will just go elsewhere.

internal mobility
2024年03月31日
internal mobility

Workday收购HiredScore的意义，这可能颠覆人力资源科技领域 Workday计划收购HiredScore，这是人力资源技术领域的一次重大变革。HiredScore是一家领先的基于AI的招聘匹配工具提供商，此举将大大增强Workday在人才智能和招聘方面的能力。这次收购预计将整合HiredScore的专长到Workday的系统中，显著改善其应聘者追踪系统（ATS）、技能云和整体人才智能产品。此战略性收购可能会重塑人力资源软件市场，迫使其他供应商加速他们的AI计划，可能激发一轮新的收购热潮。以下是原文： This week Workday announced intent to acquire HiredScore, a leading provider of AI-based matching tools for recruiting (called “talent orchestration”). While it wasn’t discussed much in the earnings call, this deal is a big positive for Workday and could have many implications for the HR Tech market. Let me explain. (I have not been briefed by Workday yet, so more information will come as I learn more.) Right now there is a massive marketplace war for high-powered AI-based recruiting tools (estimated at $30.1 billion). Historically dominated by applicant tracking systems (ATS), this market provides essential technology to help every company grow. The ATS market, which is more than 25 years old, has been rapidly transformed with high-powered AI tools that help with candidate matching, search, skills inference, and sourcing. And now that AI tools are readily available, these systems are becoming big data platforms loaded with billions of employee profiles, running complex AI models to help match people to jobs, projects, and gigs. Most ATS vendors (including Workday) have slowly extended into this space through matching. The original idea of a resume parser (software that reads a resume and scores it against a job description) has evolved into complex text analysis and AI-powered inference technology, forcing ATS vendors to invest. As the ATS vendors enhance their AI capabilities, a parallel universe of AI-first Talent Intelligence vendors emerged. These vendors, like Eightfold, Gloat, Beamery, Phenom, Seekout, Skyhive, Retrain, and Techwolf are building skills-centric big data platforms to match people to jobs, gigs, and mentors. These systems do much more than rate matches: they identify skills, find adjacent skills, match people to careers, find mentors, and more. They are essentially open big-data AI platforms built on vector databases that can be used for many enterprise apps (job architecture design, skills planning, internal mobility, pay equity analysis, etc.). In many ways they represent the future of HR Tech. (Read our Talent Intelligence Primer for more.) As the Talent Intelligence vendors grow, they start to deliver “HCM-threatening” platforms that impinge on the HCM “System of Record” idea. If you have all your employees, candidates, alumni, and prospects in Eightfold, Phenom, Seekout, or Gloat, for example, Workday or SAP look like a tactical payroll and workflow management system. (ServiceNow also understands this, and is building talent intelligence into its workflow platform.) Up until now the big HCM vendors like Workday, Oracle, and SAP have struggled to build these new systems, largely because their original architectures were not AI-based. So they’ve attracted customers with offerings like the Workday Skills Cloud or SAP Opportunity Marketplace that aren’t fully completed yet. We have talked with dozens of Workday Skills Cloud customers, for example, and they see it as an important “skills system of record,” but its real AI matching and inference capabilities have been limited. Along comes HiredScore, a well respected AI-based matching system with 150 employees and 40+ seasoned AI engineers in Israel. These folks are experts at candidate matching (quite a complex problem), and they’ve built a very innovative “orchestration” system to help line managers coordinate activities with HR business partners and recruiters (more on this later). While I’m sure they’ll continue to build out HiredScore, they can also contribute to Workday’s overall talent intelligence offering, improving the entire system – including the Skills Cloud, Workday Learning, Workday’s Talent Marketplace. As large as the recruiting software market is, the market for internal career tools, talent mobility, skills inference, and corporate learning is five times bigger. This acquisition gives Workday a shot in the arm to accelerate its entire AI platform strategy. (As the Identified acquisition did back in 2014. Identified was the roots of the Workday Skills Cloud.) Market Implications Of This Move This move could change the market for HR software in a few significant ways. First, Workday Recruiting customers will be thrilled. Workday’s ATS now benefits from a first class matching and candidate scoring solution. This helps Workday compete with the bigger ATS players and gives Workday a new revenue source as they sell HiredScore to the existing 4,000+ Workday ATS customers. (Similar to the Peakon acquisition in Employee Experience.) And the talent orchestration features (kind of like a “staffing copilot”) gives Workday a very unique feature set. Second, this forces Workday’s talent intelligence partners to step up their game. Remember when Apple acquired Dark Sky, the most compelling micro-weather app on the market? Once they integrated it into Apple’s other apps, the market for third party weather apps went away. Workday could limit its partner network to avoid letting HiredScore competitors into the ecosystem. Third, this forces HCM vendors to accelerate their AI. Since HiredScore is such a well-respected product (every client we talk with adores it), it will become part of Workday demos and sales proposals quickly. Workday’s HCM competitors will start scratching around to find a similarly mature AI vendor to acquire. And that could kick off another round of acquisitions, similar to the frenzy that took place in the mid 2010s. Finally, there’s one more scenario, and I give this good odds. Not to be outdone by Workday, the Talent Intelligence vendors may just expand their ATS capability and decide to go “full stack.” I wouldn’t be surprised to see this happen. Why Is AI-Based Candidate Matching So Important Why is this technology so important? Well if you’ve ever tried to recruit on Indeed or LinkedIn, you know why. The quality and reliability of “candidate matching technology” is a lynchpin of a talent platform. Just as Google Search crushed Yahoo, Excite, and Inktomi, a powerful next-gen matching tool adds an enormous amount of value. Not only does it speed talent acquisition, it fuels all the internal mobility, career portals, skills, and eventually learning and pay systems. Why do I say this? A “match” is a sophisticated problem. Unlike a Google search which looks at text and traffic, when you search for a person to fill a role you have to think about dozens of complex relationships. What are this person’s skills and capabilities? What are their credentials or certifications? Who else are they connected with? How likely will they fit into the job, role, and company? What is the impact of their industry experience? What tools and technologies do they understand? And it gets much more complex. The Heidrick Navigator platform (built on Eightfold), uses AI to assess functional skills for management and leadership, identifies a person’s “ability to drive results,” and more. This important application of AI powers many of the most important decisions we make in business. That’s why the Talent Intelligence space is growing so fast. As of this week there are more than 1,800 Director or VPs of “Talent Intelligence” in LinkedIn, and that number is up almost six-fold from one year ago. Can Workday take the lead in this emerging space? It’s impossible to tell at this point, but the horses have left the gate and the race is on. This deal sets the players in the right lanes and feels like the earthquake to shake things up.

internal mobility
2024年03月01日

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