美国领先企业联合成立了一个联盟，应对人工智能对技术岗位劳动力的影响由思科（Cisco）牵头，埃森哲（Accenture）、谷歌（Google）、国际商业机器公司（IBM）和微软（Microsoft）等主要行业参与者参与的人工智能 ICT 劳动力联盟（AI-Enabled ICT Workforce Consortium）AI-Enabled Information and Communication Technology (ICT) Workforce Consortium 旨在评估和减轻人工智能对技术工作的影响。该联盟旨在确定受人工智能进步影响的岗位所需的关键技能，为再培训和提高技能提供途径。该倡议借鉴了私营部门、顾问和政府的合作见解，为人工智能环境下的劳动力做好准备，强调了全球合作促进包容性技术未来的必要性。
人工智能 ICT 劳动力联盟致力于提供实际可行的洞见，发掘重新培训和提升技能的新机遇
思科牵头成立的AI赋能信息通信技术（ICT）工作力联盟，包括埃森哲、Eightfold、谷歌、IBM、Indeed、英特尔、微软和SAP等行业领导者的加入。该联盟将评估人工智能对科技岗位的影响，并为最可能受到AI影响的职业确定技能发展途径。 联盟的成立得到了美国-欧盟贸易与技术委员会人才成长工作组的推动，思科主席兼CEO Chuck Robbins在该工作组的参与，以及美国商务部的建议，起到了催化剂的作用。 顾问团包括美国劳工联盟-产业组织联合会、CHAIN5、美国通信工人联合会、DIGITALEUROPE、欧洲职业培训协会、可汗学院和SMEUnited等。
比利时鲁汶，2024年4月4日-- 思科（纳斯达克代码：CSCO）和另外八家行业领先公司包括埃森哲、Eightfold、谷歌、IBM、Indeed、英特尔、微软和SAP，以及六位顾问今天宣布，成立了致力于提升和重新培训最可能受到AI影响岗位的AI赋能ICT工作力联盟。该联盟受到美国-欧盟贸易与技术委员会人才成长工作组的启发，旨在探究AI对ICT岗位的影响，帮助工作者发现并参与相关培训计划，同时连接企业和具备相应技能、准备就绪的工作者。
作为私营部门的合作平台，联盟正评估AI如何改变工作岗位及所需技能，让工作者取得成功。首阶段工作成果将总结为一份提供给企业领导者和工作者实际建议的报告。未来几个月将公布更多详情。研究结果旨在为那些寻求为员工重新培训和提升技能的雇主提供实用的洞见和建议。
联盟成员涵盖了在AI前沿创新的企业，他们深知AI对劳动力市场的当前和未来影响。各成员企业已分别记录了AI带来的机遇与挑战。通过合作，这些组织能够汇聚见解，推荐行动计划，并在其广泛的影响领域内实施这些发现。
“人工智能正加速全球劳动力市场的变革，为私营部门提供了一个强大机会，帮助工作者重新培训和提升技能，以迎接未来，”思科执行副总裁兼首席人事、政策与目标官Francine Katsoudas表示。“我们新成立的AI赋能工作力联盟的任务是向组织提供关于AI对劳动力影响的知识，并装备工作者以相关技能。我们期待吸引更多利益相关方——包括政府、非政府组织和学术界——一同迈出确保AI革命惠及每个人的重要一步。”
联盟的工作受到了美国-欧盟贸易与技术委员会人才成长工作组的启发，思科主席兼CEO Chuck Robbins领导其技能培训工作流程的指导，以及美国商务部的建议。美国总统拜登、欧盟委员会主席冯德莱恩和欧洲理事会主席米歇尔于2021年6月成立了TTC，目的是通过合作和民主方法在贸易、技术和安全领域推进美国和欧盟的竞争力和繁荣。
“在美国商务部，我们致力于推动先进技术的发展，并深化与全球伙伴和盟友之间的贸易与投资关系。这项工作正帮助我们建立一个强大且具竞争力的经济体，由能够获得高质量、高薪、可维持家庭生活的未来工作的才华横溢的劳动力所推动。我们明白，经济安全与国家安全紧密相连。这就是我为何感到自豪地看到人才成长工作组的努力以及AI赋能ICT工作力联盟的成立，”美国商务部长Gina Raimondo表示。“我感激联盟成员加入这一努力，共同面对AI快速发展所带来的新型劳动力需求。这项工作将为这些工作的具体技能需求提供前所未有的见解。我希望这个联盟仅是一个开始，并且私营部门将其视为一个行动呼吁，确保我们的劳动力能够享受到AI带来的好处。”
AI赋能ICT工作力联盟的工作解决了对具备AI各方面技能训练的熟练劳动力的紧迫需求。联盟将利用其成员和顾问的力量，推荐和扩大包容性的重新培训和提升技能培训计划，以惠及多方利益相关者——学生、职业转换者、当前的IT工作者、雇主和教育者——大规模提升工作者以适应AI时代。
在其首阶段工作中，联盟将评估AI对56个ICT岗位角色的影响，并为受影响岗位提供培训建议。这些岗位角色根据Indeed Hiring Lab的数据，包括在2023年2月至2024年期间在美国和五个ICT劳动力最多的欧洲国家（法国、德国、意大利、西班牙和荷兰）获得最高岗位发布量的前45个ICT职位的80%。这些国家的ICT部门共计拥有1000万名ICT工作者，占据了行业的重要份额。
联盟成员普遍认识到，随着AI在商业的所有方面的加速融合，及时集结力量，建立一个包容性、能提供维持家庭生活机会的劳动力市场的重要性。联盟成员承诺，在将越来越多地整合人工智能技术的职业领域，开发工作者路径。为此，联盟成员设定了具有远见的目标，并通过技能发展和培训计划，在未来十年内对全球超过9500万人产生积极影响。联盟成员的目标包括：
思科承诺到2032年为2500万人提供网络安全和数字技能培训。
IBM将在2030年前为3000万人提供数字技能培训，包括200万人的AI技能。
英特尔计划到2030年为超过3000万人提供当前和未来工作的AI技能。
微软承诺到2025年为来自弱势社区的1000万人提供需求旺盛的数字技能培训和认证，为他们在数字经济中提供工作和生计机会。
SAP计划到2025年为全球200万人提供提升技能培训。
谷歌最近宣布投入2500万欧元，支持全欧洲人民的AI培训和技能提升。
埃森哲
“帮助组织识别技能差距并进行大规模快速培训是埃森哲的重点任务，这个联盟汇集了一系列致力于在我们社区中发展尖端技术、数据和AI技能的行业合作伙伴。在各个行业中，为与AI协同工作的人员进行重新培训至关重要。那些在技术投资中与学习投资同等重视的组织，不仅创造了职业发展路径，还能在市场中占据领先地位。” - 埃森哲首席领导力与人力资源官Ellyn Shook
Eightfold
“工作的动态和本质正在以前所未有的速度演变。Eightfold通过深入分析最受欢迎的职位，了解重新培训和提升技能的需求。通过其人才智能平台，我们为商业领袖提供了迅速适应不断变化的商业环境的能力。我们为能够为组织预备未来工作做出贡献而感到自豪。” - Eightfold AI首席执行官兼联合创始人Ashutosh Garg
谷歌
“谷歌坚信，技术创造的机遇应真正面向所有人。我们自豪地加入AI赋能工作力联盟，进一步推动我们使AI技能培训普及化的工作。我们致力于跨领域合作，确保不同背景的工作者都能有效利用AI，为面向未来的职位做好准备，获得新机会，在经济中茁壮成长。” - 谷歌成长计划创始人Lisa Gevelber
IBM
“IBM自豪地加入这个及时的企业主导倡议，通过汇集我们的共同专业知识和资源，为AI时代的劳动力做好准备。作为行业领袖，我们共同的责任是发展可信赖的技术，并为所有背景和经验水平的工作者提供学习新技能和提升现有技能的机会，以应对AI采纳改变工作方式并创造新职位的挑战。” - IBM欧洲中东非洲人力资源副总裁Gian Luigi Cattaneo
Indeed
“Indeed的使命是帮助人们找到工作。我们的研究表明，Indeed上今天发布的几乎每个职位，从卡车司机到医生到软件工程师，都将面临不同程度的受到基于GenAI的变革的影响。我们期待为工作力联盟的重要工作做出贡献。那些授权其员工学习新技能并获得与不断发展的AI工具的实践经验的公司，将加深他们的专业团队，提高员工留存率并扩大其合格候选人库。” - Indeed AI创新部门负责人Hannah Calhoon
英特尔
“作为全球AI创新的领导者，英特尔自豪地加入ICT工作力联盟，继续我们的努力，为所有人塑造一个包容和公平的技术未来。作为联盟的一员，我们将与行业领袖合作，分享最佳实践，创造可访问的学习机会，并与各方利益相关者协作，确保工作者掌握了迎接明天的技术技能。” - 微软人力资源法律副总裁兼副总法律顾问Amy Pannoni
SAP
“SAP自豪地加入这一努力，帮助为未来的工作准备我们的劳动力，并确保AI在企业和职位中的应用是相关的、可靠的、负责任的。面对我们不断变化的世界的复杂性，AI有潜力重塑行业、革新解决问题的方式，并释放前所未有的人类潜能，使我们能够构建一个更智能、更高效和更包容的劳动力。多年来，SAP支持了许多技能发展计划，我们期待作为联盟的一部分推动更多的学习机会、创新和积极变化。” - SAP副总裁兼全球开发学习负责人Nicole Helmer
关于思科
思科（纳斯达克代码：CSCO）是全球技术领袖，通过帮助我们的客户重新构想他们的应用、支持混合工作模式、保障企业安全、改造基础设施，并实现可持续发展目标，连接一切，让任何事情成为可能。在新闻室了解更多信息，并在X上关注我们@Cisco。
思科和思科标志是思科及/或其在美国和其他国家的关联公司的商标或注册商标。思科的商标列表可在www.cisco.com/go/trademarks查看。提到的第三方商标属于其各自所有者。使用“合作伙伴”一词并不意味着思科与任何其他公司之间存在合伙关系。
来源：思科公司
LEUVEN, Belgium, April 4, 2024 - Cisco (NASDAQ: CSCO) and a group of eight leading companies including Accenture, Eightfold, Google, IBM, Indeed, Intel, Microsoft and SAP as well as six advisors today announced the launch of the AI-Enabled Information and Communication Technology (ICT) Workforce Consortium focused on upskilling and reskilling roles most likely to be impacted by AI. The Consortium is catalyzed by the work of the U.S.-EU Trade and Technology Council's (TTC) Talent for Growth Task Force, with the goal of exploring AI's impact on ICT job roles, enabling workers to find and access relevant training programs, and connecting businesses to skilled and job-ready workers.
Working as a private sector collaborative, the Consortium is evaluating how AI is changing the jobs and skills workers need to be successful. The first phase of work will culminate in a report with actionable insights for business leaders and workers. Further details will be shared in the coming months. Findings will be intended to offer practical insights and recommendations to employers that seek ways to reskill and upskill their workers in preparation for AI-enabled environments.
Consortium members represent a cross section of companies innovating on the cutting edge of AI that also understand the current and impending impact of AI on the workforce. Individually, Consortium members have documented opportunities and challenges presented by AI. The collaborative effort enables their organizations to coalesce insights, recommend action plans, and activate findings within their respective broad spheres of influence.
"AI is accelerating the pace of change for the global workforce, presenting a powerful opportunity for the private sector to help upskill and reskill workers for the future," said Francine Katsoudas, Executive Vice President and Chief People, Policy & Purpose Officer, Cisco. "The mission of our newly unveiled AI-Enabled Workforce Consortium is to provide organizations with knowledge about the impact of AI on the workforce and equip workers with relevant skills. We look forward to engaging other stakeholders—including governments, NGOs, and the academic community—as we take this important first step toward ensuring that the AI revolution leaves no one behind."
The Consortium's work is inspired by the TTC's Talent for Growth Task Force and Cisco Chair and CEO Chuck Robbins' leadership of its skills training workstream, and input from the U.S. Department of Commerce. The TTC was established in June 2021 by U.S. President Biden, European Commission President von der Leyen, and European Council President Michel to promote U.S. and EU competitiveness and prosperity through cooperation and democratic approaches to trade, technology, and security.
"At the U.S. Department of Commerce, we're focused on fueling advanced technology and deepening trade and investment relationships with partners and allies around the world. This work is helping us build a strong and competitive economy, propelled by a talented workforce that's enabling workers to get into the good quality, high-paying, family-sustaining jobs of the future. We recognize that economic security and national security are inextricably linked. That's why I'm proud to see the efforts of the Talent for Growth Task Force continue with the creation of the AI-Enabled ICT Workforce Consortium," said U.S. Secretary of Commerce Gina Raimondo. "I am grateful to the consortium members for joining in this effort to confront the new workforce needs that are arising in the wake of AI's rapid development. This work will help provide unprecedented insight on the specific skill needs for these jobs. I hope that this Consortium is just the beginning, and that the private sector sees this as a call to action to ensure our workforces can reap the benefits of AI."
The AI-Enabled ICT Workforce Consortium's efforts address a business critical and growing need for a proficient workforce that is trained in various aspects of AI, including the skills to implement AI applications across business processes. The Consortium will leverage its members and advisors to recommend and amplify reskilling and upskilling training programs that are inclusive and can benefit multiple stakeholders – students, career changers, current IT workers, employers, and educators – in order to skill workers at scale to engage in the AI era.
In its first phase of work, the Consortium will evaluate the impact of AI on 56 ICT job roles and provide training recommendations for impacted jobs. These job roles include 80% of the top 45 ICT job titles garnering the highest volume of job postings for the period February 2023-2024 in the United States and five of the largest European countries by ICT workforce numbers (France, Germany, Italy, Spain, and the Netherlands) according to Indeed Hiring Lab. Collectively, these countries account for a significant segment of the ICT sector, with a combined total of 10 million ICT workers.
Consortium members universally recognize the urgency and importance of their combined efforts with the acceleration of AI in all facets of business and the need to build an inclusive workforce with family-sustaining opportunities. Consortium members commit to developing worker pathways particularly in job sectors that will increasingly integrate artificial intelligence technology. To that end, Consortium members have established forward thinking goals with skills development and training programs to positively impact over 95 million individuals around the world over the next 10 years. Consortium member goals include:
Cisco to train 25 million people with cybersecurity and digital skills by 2032.
IBM to skill 30 million individuals by 2030 in digital skills, including 2 million in AI.
Intel to empower more than 30 million people with AI skills for current and future jobs by 2030.
Microsoft to train and certify 10 million people from underserved communities with in-demand digital skills for jobs and livelihood opportunities in the digital economy by 2025.
SAP to upskill two million people worldwide by 2025.
Google has recently announced EUR 25 million in funding to support AI training and skills for people across Europe.
Accenture
"Helping organizations identify skills gaps and train people at speed and scale is a major priority for Accenture, and this consortium brings together an impressive ecosystem of industry partners committed to growing leading-edge technology, data and AI skills within our communities. Reskilling people to work with AI is paramount in every industry. Organizations that invest as much in learning as they do in the technology not only create career pathways, they are well positioned to lead in the market." - Ellyn Shook, chief leadership & human resources officer, Accenture
Eightfold
"The dynamics of work and the very essence of work are evolving at an unprecedented pace. Eightfold examines the most sought-after job roles, delving into the needs for reskilling and upskilling. Through its Talent Intelligence Platform, it empowers business leaders to adapt swiftly to the changing business environment. We take pride in contributing to the creation of a knowledgeable and responsible resource that assists organizations in preparing for the future of work." - Ashutosh Garg, CEO and Co-Founder, Eightfold AI
Google
"Google believes the opportunities created by technology should truly be available to everyone. We're proud to join the AI-Enabled Workforce Consortium, which will advance our work to make AI skills training universally accessible. We're committed to collaborating across sectors to ensure workers of all backgrounds can use AI effectively and develop the skills needed to prepare for future-focused jobs, qualify for new opportunities, and thrive in the economy." - Lisa Gevelber, Founder, Grow with Google
IBM
"IBM is proud to join this timely business-led initiative, which brings together our shared expertise and resources to prepare the workforce for the AI era. Our collective responsibility as industry leaders is to develop trustworthy technologies and help provide workers—from all backgrounds and experience levels—access to opportunities to reskill and upskill as AI adoption changes ways of working and creates new jobs." - Gian Luigi Cattaneo, Vice President, Human Resources, IBM EMEA
Indeed
"Indeed's mission is to help people get jobs. Our research shows that virtually every job posted on Indeed today, from truck driver to physician to software engineer, will face some level of exposure to GenAI-driven change. We look forward to contributing to the Workforce Consortium's important work. The companies who empower their employees to learn new skills and gain on-the-job experience with evolving AI tools will deepen their bench of experts, boost retention and expand their pool of qualified candidates." - Hannah Calhoon, Head of AI Innovation at Indeed
Intel
"At Intel, our purpose is to create world-changing technology that improves the lives of every person on the planet, and we believe bringing AI everywhere is key for businesses and society to flourish. To do so, we must provide access to AI skills for everyone. Intel is committed to expanding digital readiness by collaborating with 30 countries, empowering 30,000 institutions, and training 30 million people for current and future jobs by 2030. Working alongside industry leaders as part of this AI-enabled ICT workforce consortium will help upskill and reskill the workforce for the digital economy ahead." – Christy Pambianchi, Executive Vice President and Chief People Officer at Intel Corporation
Microsoft
"As a global leader in AI innovation, Microsoft is proud to join the ICT Workforce Consortium and continue our efforts to shape an inclusive and equitable technology future for all. As a member of the consortium, we will work with industry leaders to share best practices, create accessible learning opportunities, and collaborate with stakeholders to ensure that workers are equipped with the technology skills of tomorrow," - Amy Pannoni, Vice President and Deputy General Counsel, HR Legal at Microsoft
SAP
"SAP is proud to join this effort to help prepare our workforce for the jobs of the future and ensure AI is relevant, reliable, and responsible across businesses and roles. As we navigate the complexities of our ever-evolving world, AI has the potential to reshape industries, revolutionize problem-solving, and unlock unprecedented levels of human potential, enabling us to create a more intelligent, efficient, and inclusive workforce. Over the years, SAP has supported many skills building programs, and we look forward to driving additional learning opportunities, innovation, and positive change as part of the consortium." - Nicole Helmer, Vice President & Global Head of Development Learning at SAP
About Cisco
Cisco (NASDAQ: CSCO) is the worldwide technology leader that securely connects everything to make anything possible. Our purpose is to power an inclusive future for all by helping our customers reimagine their applications, power hybrid work, secure their enterprise, transform their infrastructure, and meet their sustainability goals. Discover more on The Newsroom and follow us on X at @Cisco.
Cisco and the Cisco logo are trademarks or registered trademarks of Cisco and/or its affiliates in the U.S. and other countries. A listing of Cisco's trademarks can be found at www.cisco.com/go/trademarks. Third-party trademarks mentioned are the property of their respective owners. The use of the word partner does not imply a partnership relationship between Cisco and any other company.
SOURCE Cisco Systems, Inc.
How Will AI Impact People Analytics in 2024 and Beyond(Podcast)2024年，人员分析将面临一个转折点。这个转折点集中在AIML上，以及它如何为组织创造优势，以及 HR 中的大量活动和工作，HR内部的数据科学分析团队有一个独特的位置可以研究。
将人员分析从洞察转变为影响需要什么？人员分析和人力资源专业人员如何影响企业领导者？人工智能和机器学习对现在和未来的人员分析有何影响？
这些只是我们本周在数字人力资源领导者播客从寒假回归时讨论的三个主题。与我一起参加会议的还有三位嘉宾，他们都亲自启发了我，还有无数其他人，他们在人员分析领域拥有超过40年的经验：
Dawn Klinghoffer，Microsoft人员分析全球主管和 Insight222 的董事会顾问，他在过去20年中一直在 Microsoft 建立和领导人员分析功能。
杰里米·夏皮罗（Jeremy Shapiro），默克公司（Merck & Co）劳动力分析全球主管，纽约战略人力资源分析会议小组的联合召集人。
Thomas Hedegaard Rasmussen，壳牌组织发展和学习副总裁，曾在澳大利亚国民银行、壳牌和马士基建立并领导人员分析职能。
您可以通过单击下面的图片或访问播客网站来收听。
在对话中，我们探讨了如何通过人员分析来推动业务价值，重点介绍了 Thomas 最近与 Mike Ulrich 和 Dave Ulrich 合著的论文（将人员分析从洞察力转移到影响力）中的发现，以及 Insight222的2023 年人员分析趋势报告中确定的领先公司的八个特征。
如果您能够访问企业中的战略对话，则更容易受到它们的影响。而且，如果你有高层领导的支持，以试图一次做太多事情为代价来追求那些相对较少的高价值项目，那么确定优先级也更容易。
Dawn、Jeremy、Thomas 和我还讨论了：
人员分析的三个“I”：洞察力、影响力和影响力
确定人员分析工作的优先级并将其与业务需求保持一致的技术
如何在人员分析和财务之
间建立成功的关系
人工智能和机器学习如何支持人员分析工作
人工智能将如何在未来12个月和几年内改变工作世界。
我希望人工智能能够真正帮助人力资源部门充满活力，并有能力去做有意义的工作，消除今天人力资源部门发生的许多任务的苦差事。
资源
以下是本集讨论的一些材料的链接：
托马斯与迈克·乌尔里希（Mike Ulrich）和戴夫·乌尔里希（Dave Ulrich）共同发表的论文：将人员分析从洞察力转移到影响
Insight222 的 2023 年人员分析趋势研究：投资交付——人员分析的新模型
Dawn 关于蓬勃发展的文章：为什么 Microsoft 衡量员工的发展，而不是敬业度
杰里米与汤姆·达文波特（Tom Davenport）和珍妮·哈里斯（Jeanne Harris）合著的开创性文章《哈佛商业评论》：在人才分析上竞争
Source Linkedin
人工智能
2024年01月31日
人工智能
人工智能正在以比我预期更快的速度改变企业学习AI Is Transforming Corporate Learning Even Faster Than I Expected在《AI正在比我预想的更快地改变企业学习AI Is Transforming Corporate Learning Even Faster Than I Expected》这一文中，Josh Bersin强调了AI对企业学习和发展（L&D）领域的革命性影响。L&D市场价值高达3400亿美元，涵盖了从员工入职到操作程序等一系列活动。传统模型正在随着像Galileo™这样的生成性AI技术的发展而演变，这改变了内容的创建、个性化和传递方式。本文探讨了AI在L&D中的主要用例，包括内容生成、个性化学习体验、技能发展，以及用AI驱动的知识工具替代传统培训。举例包括Arist的AI内容创作、Uplimit的个性化AI辅导，以及沃尔玛实施AI进行即时培训。这种转型是深刻的，呈现了一个AI不仅增强而且重新定义L&D策略的未来。
在受人工智能影响的所有领域中，最大的变革也许发生在企业学习中。经过一年的实验，现在很明显人工智能将彻底改变这个领域。
让我们讨论一下 L&D 到底是什么。企业培训无处不在，这就是为什么它是一个价值 3400 亿美元的市场。工作中发生的一切（从入职到填写费用账户再到复杂的操作程序）在某种程度上都需要培训。即使在经济衰退期间，企业在 L&D 上的支出仍稳定在人均 1200-1500 美元。
然而，正如研发专业人士所知，这个问题非常复杂。有数百种培训平台、工具、内容库和方法。我估计 L&D 技术空间的规模超过 140 亿美元，这甚至不包括搜索引擎、知识管理工具以及 Zoom、Teams 和 Webex 等平台等系统。多年来，我们经历了许多演变：电子学习、混合学习、微型学习，以及现在的工作流程中的学习。
生成式人工智能即将永远改变这一切。
考虑一下我们面临的问题。企业培训并不是真正的教学，而是创造一个学习的环境。传统的教学设计以教师为主导，以过程为中心，但在工作中常常表现不佳。人们通过多种方式学习，通常没有老师，他们寻找参考资料，复制别人正在做的事情，并依靠经理、同事和专家的帮助。因此，必须扩展传统的教学设计模型，以帮助人们学习他们需要的东西。
输入生成人工智能，这是一种旨在合成信息的技术。像Galileo™这样的生成式人工智能工具 可以以传统教学设计师无法做到的方式理解、整合、重组和传递来自大型语料库的信息。这种人工智能驱动的学习方法不仅效率更高，而且效果更好，能够在工作流程中进行学习。
早期，在工作流程中学习意味着搜索信息并希望找到相关的东西。这个过程非常耗时，而且常常没有结果。生成式人工智能通过其神经网络的魔力，现在已经准备好解决这些问题，就像 L&D 的瑞士军刀一样。
这是一个简单的例子。我问Galileo™（该公司经过 25 年的研究和案例研究提供支持）：“我该如何应对总是迟到的员工？请给我一个叙述来帮助我？” 它没有带我去参加管理课程或给我看一堆视频，而是简单地回答了问题。这种类型的互动是企业学习的大部分内容。
让我总结一下人工智能在学习与发展中的四个主要用例：
生成内容：人工智能可以大大减少内容创建所涉及的时间和复杂性。例如，移动学习工具Arist拥有AI生成功能Sidekick，可以将综合的操作信息转化为一系列的教学活动。这个过程可能需要几周甚至几个月的时间，现在可以在几天甚至几小时内完成。
我们在Josh Bersin 学院使用 Arist ，我们的新移动课程现在几乎每月都会推出。Sana、Docebo Shape和以用户为中心的学习平台 360 Learning 等其他工具也同样令人兴奋。
个性化学习者体验：人工智能可以帮助根据个人需求定制学习路径，改进根据工作角色分配学习路径的传统模型。人工智能可以理解内容的细节，并使用该信息来个性化学习体验。这种方法比杂乱的学习体验平台（LXP）有效得多，因为LXP通常无法真正理解内容的细节。
Uplimit是一家致力于构建人工智能平台来帮助教授人工智能的初创公司，它正在使用其Cobot和其他工具为学习人工智能的技术专业人员提供个性化的指导和技巧。Cornerstone 的新 AI 结构按技能推荐课程，Sana 平台将 Galileo 等工具与学习连接起来，SuccessFactors 中的新 AI 功能还为用户提供了基于角色和活动的精选学习视图。
识别和发展技能：人工智能可以帮助识别内容中的技能并推断个人的技能。这有助于提供正确的培训并确定其有效性。虽然许多公司正在研究高级技能分类策略，但真正的价值在于可以通过人工智能识别和开发的细粒度、特定领域的技能。
人才情报领域的先驱者Eightfold、Gloat和SeekOut可以推断员工技能并立即推荐学习解决方案。实际上，我们正在使用这项技术来推出我们的人力资源职业导航器，该导航器将于明年初推出。
用知识工具取代培训：人工智能在学习与发展中最具颠覆性的用例也许是完全取代某些类型培训的潜力。人工智能可以创建提供信息和解决问题的智能代理或聊天机器人，从而可能消除对某些类型培训的需求。这种方法不仅效率更高，而且效果更好，因为它可以在个人需要时为他们提供所需的信息。
沃尔玛今天正在实施这一举措，我们的新平台 Galileo 正在帮助万事达卡和劳斯莱斯等公司在无需培训的情况下按需查找人力资源信息和政策信息。LinkedIn Learning 正在向 Gen AI 搜索开放其软技能内容，很快 Microsoft Copilot 将通过 Viva Learning 找到培训。
这里潜力巨大
在我作为分析师的这些年里，我从未见过一种技术具有如此大的潜力。人工智能将彻底改变 L&D 格局，重塑我们的工作方式，以便 L&D 专业人员可以花时间为企业提供咨询。
L&D 专业人员应该做什么？花一些时间来了解这项技术，或者参加Josh Bersin 学院的一些新的人工智能课程以了解更多信息。
随着我们继续推出像伽利略这样的工具，我知道你们每个人都会对未来的机会感到惊讶。L&D 的未来已经到来，而这一切都由人工智能驱动。
人工智能
2023年12月13日
人工智能
AI变局：OpenAI董事会解雇其CEO Sam Altman与重返OpenAI的可能
在人工智能领域的历史长河中，2023年11月17号这一天或许将被铭记为一个转折点。OpenAI，这个曾推出 ChatGPT、DALL-E 3、GPT-4 等热门人工智能产品的公司，经历了一次前所未有的内部动荡。
【事件开端：CEO Sam Altman 的突然解雇】
11月17日周五中午，OpenAI 董事会宣布解雇了其联合创始人兼首席执行官 Sam Altman。这位曾是 Y Combinator 的前总裁，被认为是人工智能领域的领军人物。他的解雇在科技界引起了巨大的震动，很多人认为这是对人工智能发展的一个重大打击。
【内部反应与原因】
据内部消息，这一决策源于与董事会之间的沟通断裂，而非不当行为。然而，具体细节并未对外公开，使得整个事件笼罩在一层神秘的阴影之下。
【行业与公司内部的震动】
Sam Altman 的解雇不仅在外界引起了讨论，也在 OpenAI 内部掀起了波澜。据报道，OpenAI 的总裁兼联合创始人 Greg Brockman 在事件发生后宣布辞职，多名高级研究人员也选择了离开公司。这一系列的离职显然是对董事会决策的不满和对公司未来方向的担忧的直接反应。
【投资者的立场与反应】
在 Altman 被解雇的消息传出后，OpenAI 的主要投资者，包括 Microsoft 和风险投资公司 Thrive，对董事会的决定表示不满。他们开始积极推动 Altman 的重返，并要求对董事会进行重组。这一举动反映了投资者对于 OpenAI 当前管理层的不信任，以及对 Altman 领导能力的认可。
【Sam Altman 的回归之路】
在经历了一天的震惊和反思之后，据报道，在投资人等要求下OpenAI 董事会与 Altman与进行回归的讨论。尽管对于回归持有矛盾态度，但他显然正在考虑重新掌舵，并提出了重组董事会的要求。
【事件背后的深层原因】
据科技记者 Kara Swisher 报道，这一系列事件的背后，是对于人工智能商业化速度的内部分歧。一方面是急于推动商业化的声音，另一方面则是希望鉴于新技术的巨大能力和风险，采取更加谨慎的策略。这种分歧在董事会和管理层中愈演愈烈，最终导致了这场风暴的爆发。
【未来的不确定性】
尽管目前尚不清楚 Altman 是否会重返 OpenAI，但这一事件无疑为公司未来的发展方向投下了不确定性的阴影。同时，这也反映出整个人工智能行业在面对快速发展和伦理责任之间的挑战。
在这场风波中，OpenAI 不仅失去了一位关键的领导人物，还暴露出了其内部的管理和战略上的深层次问题。如何在创新和责任之间找到平衡，将是 OpenAI 乃至整个人工智能行业未来必须面对的重大课题。
附录网上的组织架构图，供参考：
人工智能
2023年11月18日
人工智能
Hiring Trends 2024: For Tech And Digital Global Employers
ANWESHA ROY 8 MINUTE READ
The hiring landscape has gone through a lot of fluctuations in the last two years. The United States and the European Union (EU) fell into recession, triggering widespread panic amongst tech and digital companies. Businesses had to lay off a large chunk of their workforce as a cost-cutting measure, some even freezing hiring temporarily.
Fast-paced digital agencies and startups understood that they needed a flexible hiring approach to adapt to these circumstances. They realized that hiring remote talents from offshore locations like LatAm, East EU, East Asia, and India was a viable way to grow their workforce. Recruiters soon realized that they needed to prioritize both skills and cultural adaptability while looking for remote talents. Hiring platforms emerged as the helping hand in this matter, with their comprehensive solutions geared to deliver a fast and reliable hiring experience.
In this blog, we will discuss these developments and other hiring trends for 2024, and the job roles that will grow in the near future.
Hiring Trends That Will Define 2024
Adaptable hiring strategies will help tackle the talent shortage
Remote hiring for remote positions is here to stay
Skill-based hiring will gain more prominence
India’s rising talent pool to meet global needs
Talent expectations from global employers are changing
Organizations will look for culture-fit talents
Emergence of hiring platforms
Artificial Intelligence (AI) and Machine Learning (ML) will play a crucial role in optimizing the hiring process
1. Adaptable hiring strategies will help tackle the talent shortage
By 2030, the global tech talent shortage will rise to 85.2 million, leading to a massive loss in revenue. Global employers will be more careful and strategic when hiring in 2024. The demand-supply gap of skilled tech and digital talents is growing every year, which means startups have to work harder to onboard the best talents. They will also look to hire remote talents from offshore locations to upscale as per their budget and resources.
2. Remote hiring for remote positions is here to stay
In 2023, tech and digital startups have to deal with the growing tech talent shortage amidst a precarious global economic scenario. Remote hiring is the most viable solution for these organizations, as they can easily access skilled and cost-effective talents across the globe, with a faster hiring process. Even companies following on-site or hybrid workstyles are hiring certain roles remotely, due to its benefits. contract hiring – uncertain economic conditions are compelling companies to hire full-time long-term contractual employees for flexibility and scalability. Global employers are also open to long-term contractual engagements for full-time employees, to ensure flexibility and scalability.
The number of startups hiring remotely has grown from 900 in 2019, 2,500 in 2020, and 14,000+ in 2022. With a growing number of talents preferring remote workstyle, companies will be able to retain their top talents by setting up distributed teams instead of strictly adhering to local hiring.
3. Skill-based hiring will gain more prominence
92.5% of companies have seen a reduction in their mis-hire rate when implementing skills-based hiring, with 44% reporting a decrease of more than 25%. Going ahead, the qualification of a candidate will be defined by their hard and soft skills, and not just their education and work experience. Technical skills, problem-solving abilities, leadership, adaptability, and more will be closely evaluated by companies. A study shows that hiring for skills is five times more predictive of job performance than hiring for work experience.
To drive this initiative, startups will rely on vetting tools and integrate them within their hiring process. The assessment will be tailor-made for tech and digital roles to aid in finding the most suitable talent. Furthermore, startups have to drop degree requirements from job descriptions and become more specific about the capabilities they are looking for.
4. India’s rising talent pool to meet global needs
Contrary to the talent crisis across the globe, India is generating tech and digital talents consistently in large numbers. Their tech talent pool has grown by 120% in the last five years, with two million STEM graduates every year. The country also has a surplus of 2.5 million digital talents, presenting a great opportunity for global employers.
The average salaries of Indian talents is lower than that of US, EU, and AUS talents, which means global companies can hire equally or better-skilled professionals at a lesser cost.
India also has a wide network of talents specializing in emerging technologies. The number of Indian AI experts on LinkedIn has grown by 14x in the last seven years, the 5th fastest growth after Singapore, Finland, Ireland, and Canada.
These reasons have helped India become the most preferred talent-sourcing hub in the world.
5. Talent expectations from global employers are changing
The global labor market is very tight and the talents have an upper hand in deciding their next employer. To remain competitive, startups have to reexamine their hiring strategies and cater to what the top talents are looking for.
A study reveals that top Indian remote talents want better pay, good work-life balance, and prospects of career growth while choosing an employer. Before hiring from India, global employers have to prepare an offer that fulfills the expectations of these talents.
6. Organizations will look for culture-fit talents
Technical proficiency makes a candidate qualified for the job role, but a cultural fitment aligns makes them the perfect addition to the organization. Both large-scale companies and startups need talents who take initiative, have a positive attitude, and handle situations in a non-confrontational manner. Such skills will uphold the work environment and promote a healthy culture. An org-culture fit talent will be more engaged and satisfied with their job than just a skilled professional.
Finding and hiring culture-fit professionals also impacts the retention rates, as a study shows that 73% of talents have left a job due to poor cultural fitment.
7. Emergence of hiring platforms
According to a 2022 survey by Upwork, 50% of businesses outsource at least some of their work. Of those businesses that outsource, 38% use hiring platforms to find freelancers and contractors. Another report reveals that 48% of companies are planning to increase their use of hiring platforms for offshoring in the next two years.
Hiring platforms offer a number of advantages to businesses, including access to a large pool of skilled and experienced freelancers and contractors, the ability to scale their workforce up or down as needed, and cost savings on labor costs. They also help in vetting candidates to find the right technical and cultural fit, helping in making an informed hiring decision. With their end-to-end solutions, hiring platforms help both fast-paced businesses and enterprises in upscaling confidently within a short period of time.
8. Artificial Intelligence (AI) and Machine Learning (ML) will play a crucial role in optimizing the hiring process
44% of recruiters find AI useful in shortening the hiring cycle, which is the main priority, 32% found it a good way to cut down overhead costs, and 24% found it helpful in identifying the right talents.
Studies suggest that it takes 29 to 66 days to fill tech-based vacancies, which is a very long hiring cycle for startups. In a fast-paced environment with constant deadlines, open roles must be filled as quickly as possible. As time is of the essence, startups are beginning to leverage Artificial Intelligence (AI) and Machine Learning (ML) in their hiring process.
By reducing the time to hire, small-scale startups are also able to cut down overhead and operational costs. In fact, AI/ML have helped companies in North America cut down their costs by 40%, in Europe by 36%, and in the APAC region by 25%.
Application Tracking System (ATS) is also being used by startups to ensure a seamless hiring process. The ATS is useful in organizing applications, managing communications, and tracking the status of candidature. 99% of Fortune 500 Global companies are using ATS for an elevated hiring experience and short cycle, so why shouldn’t startups? After all, it oversees all the tedious processes in hiring, so managers can focus their energy on decision-making and other important tasks.
Region-wise Job Roles Which Will Grow In Demand in 2024
United States
Europe
Australia
According to a survey by NASSCOM, future skills demand is expected to grow to 3.5-3.7 million by 2024, rising from the present 1.2-1.3 million currently employed by the industry. Building on that, here are a few predicted jobs that will be in demand in the next few years, sorted region-wise.
United States
The United States is leading the world in next-gen technology, which reflects in their plans to hire more cloud engineers, machine learning engineers, data scientists, and salesforce developers. The digital sector is also growing at an average of 8.5% CAGR, and the startups are looking to hire more web developers, ad specialists, UI/UX designers, and digital marketing managers.
Europe
European tech startups will focus increasingly on their core services and hire more front-end developers, DevOps engineers, and blockchain developers. Similarly, digital companies will look for PHP developers, web developers, and digital marketing managers. SaaS-based startups in the EU will focus on building next-gen products and user privacy, which is why they will hire more product managers, customer success managers, and security engineers.
Australia
Despite fears of recession, Australian tech startups are focussing on resilient hiring to support their services. They will look to onboard more back-end developers, database administrators, and systems engineers. In the digital sector, SEO specialists, web analytics specialists, and digital sales representatives will be in demand. SaaS-based startups in the country will focus on better customer service by hiring account executives, customer success managers, and e-commerce managers.
Jobs created by AI to look out for in 2024
Prompt Engineer
Prompt engineers are experts in designing and developing AI-generated text prompts for improving the AI prompt generation process for several applications. They use data analysis and programming skills to deliver an elevated user experience in tech and SaaS products.
AI Trainer
AI trainers are responsible for teaching AI systems how to think and interact with users. They work with the development team to ensure the chatbots and virtual assistants respond to customer queries and resolve them effectively. These experts have a strong background in data science, natural language processing (NLP), and machine learning.
AI Auditor
AI auditors evaluate the safety, legality, and ethics of AI systems so they can be put to good use. They review codes, conduct data analysis, and test the systems to ensure the system does not produce biased or discriminatory responses.
Machine Managers
Machine managers oversee the AI-operated hardware and systems, and ensure everything is intact for peak performance. They are responsible for the efficient operation and minimum downtime of AI tools, making them indispensable for the tech sector.
Final Thoughts
The secret to success in talent acquisition is to identify the trends, adapt your strategy, and prepare for the future. It is important to constantly monitor the ever-changing hiring landscape to build a productive workforce for the long run.
As we enter 2024, the major focus for global employers will be on identifying the best candidates for the role and leveraging digital tools for a smarter process. Digital agencies also have to offer what talents seek in their employer in order to improve their chance of hiring the best candidates.
By aligning these hiring trends in advance, global recruiters like digital agencies, IT services companies, and SaaS-based tech companies can stay ahead of the curve and hire methodically.
人工智能
2023年10月24日
人工智能
视频：Leading Through Transformation The Future of HR in the AI Era
Leading Through Transformation The Future of HR in the AI Era
Jiajia Chen
Senior Group Product Manager
Nvidia
点击访问：https://www.youtube.com/watch?v=toiy_sBDXHs
以下为演讲稿翻译整理，仅供参考：
引领变革：人工智能时代人力资源的未来
欢迎大家，我很高兴有机会讨论一个自2022年底以来成为焦点的话题。随着chat的广泛成功，许多人开始思考一个问题：我还会有工作吗？对于一些父母来说，这个问题可能会有所不同：我的孩子将来会有工作吗？在深入这个问题之前，让我简单介绍一下自己。我早期的职业生涯涉及多个商业领域，包括人力资源，后来我专注于人工智能产品管理。我拥有几个学位，包括法律学位、MBA学位、经济学科学学位和软件工程学位。我曾在Nidia管理人工智能基础设施产品组合几年。去年晚些时候，我转移到另一个名为Nidia Omniverse的产品组，这是一个数字孪生平台工业元宇宙。我们的企业客户可以使用Omniverse来创建数字孪生工业元宇宙，通过利用模拟和生成性人工智能以及与大型生态系统合作。通过这些经历，我对人工智能和人力资源有了深刻的理解。在这次演讲中，我希望能提供一个框架，帮助大家思考如何在人工智能时代领导转型，如何保持相关性并比人工智能发展得更快。
人工智能并不是一个新概念。让我们快速回顾一下人工智能发展的简史，为今天的对话奠定基础。人工智能领域诞生于1950年代。1950年，艾伦·图灵提出了模仿人类智能的通用机器的概念。1956年，人工智能这一术语被创造出来。在1970年代和1980年代，人工智能最初的乐观预期开始减弱，因为进展没有达到高期望，人工智能研究的资金减少，领域经历了被称为人工智能冬天的时期。在人工智能冬天期间，研究人员专注于发展专家系统，这是基于规则的系统，旨在模仿人类专家在特定领域的知识和决策能力。这种方法在实际应用中取得了一些进展，例如医学诊断和工业自动化。1980年代，人工智能的焦点转向了机器学习和神经网络。机器学习算法允许计算机在没有明确编程的情况下从数据中学习，并做出预测或决策。受人类大脑结构启发的神经网络引起了关注，并被应用于各种任务，包括图像和语音识别。得益于大量数据的可用性和计算能力的进步，人工智能经历了复兴。Nidia的贡献是关键的。
2022年11月推出的ChatGPT标志着人工智能的关键时刻。生成性人工智能正在推动机器创造的边界。人工智能越来越多地融入各种应用和行业，正在金融、医疗保健、网络安全等领域发挥作用，转变行业并创造新的机会。
你们中有多少人尝试过ChatGPT？你们喜欢它的哪些功能？是否用它来草拟电子邮件、创建培训材料，或者提出棘手的问题，试图愚弄chat GPT，证明你的人类智能更高级？人工智能预计将在各个维度对工作场所产生重大变化。
以下是人工智能可能带来的九个变化。
首先，提高生产力：人工智能是否会提高生产力和经济增长？许多人这样预期，但也有很多人告诉你，到目前为止，这种生成性人工智能趋势并没有大幅提高生产力，除了提供一些有趣的玩具。你们中的一些人可能听说过“生产力悖论”，这是1970年代和1980年代在美国发生的现象。我的预测是，人工智能不会发生这种情况。人工智能可以更快地传播，且所需的资本投资更少。这是因为人工智能在短期内的应用主要是软件革命，所需的大部分基础设施，如计算设备、网络和云服务，已经到位。你现在可以通过手机立即使用chat GPT和迅速增长的类似软件。
其次，收入不平等：人工智能是否会带来自动化的奢华时代，还是只会加剧现有的不平等？美国国家经济研究局发布的一份报告称，自1980年以来，美国工资变化的50%到70%可以归因于蓝领工人被自动化取代或降级导致的工资下降。人工智能、机器人技术和新的复杂技术导致财富高度集中。直到最近，受过大学教育的白领专业人士基本上没有受到低教育工人的命运。拥有研究生学位的人看到他们的薪水上涨，而低教育工人的薪水显著下降。这一问题将加剧，低技能的白领工人也将受到影响。
第三，劳动力技能提升和风险转移：随着某些任务的自动化，人工智能需要专注于提升和重新技能化劳动力。员工需要获得新的技能和知识，以适应不断变化的工作要求，并有效地与人工智能系统协作。有关这一主题的研究很多，不同研究的数据也有所不同。彭博社的研究显示，由于人工智能对工作的影响，全球将有超过1.2亿工人在未来三年内需要重新培训。据信，由于人工智能相关部署，中国将有超过5000万工人需要重新培训。美国将需要重新培训1150万人，以适应劳动力市场的需求。巴西、日本和德国的数百万工人也将需要帮助应对人工智能、机器人技术及相关技术带来的变化。根据麦肯锡的一项研究，由于快速自动化的采用，多达3.75亿工人可能需要转换职业类别。
第四，重新定义工作角色：人工智能有潜力重塑工作角色并创造新的角色。一些任务和工作可能会完全自动化，导致某些领域的工作流失。然而，人工智能也为创造涉及管理和协作人工智能系统、分析人工智能生成的内容、开发和维护人工智能技术的新角色创造了机会。例子包括美国政府试图将制造业带回美国。许多人认为，像第二次世界大战后一样，将创造数百万高薪的蓝领工人工作。然而，这最有可能不会发生，因为在美国建造的新工厂几乎不会雇用许多人类工人。一切都将通过机器人或管理系统自动化。
第五，增强决策制定：人工智能系统可以分析大量数据，检测模式，并生成支持决策过程的洞察。这可以使员工和管理者获得更准确、更及时的信息，使各种职能（如运营、市场营销、财务、人力资源）的决策更加明智。2019年哈佛商业评论提出了一个概念，称为人工智能驱动的决策，与数据驱动的决策相比，它允许我们克服作为人类处理器的固有局限性，如低效和认知偏见，因为你可以指派机器来处理大量数据，让我们人类应用判断力、文化价值观和情境来选择决策选项。
第六，人工智能与人类的协作：人工智能技术使得人与智能系统之间的协作成为可能。这种协作可能涉及利用人工智能在数据分析、模式识别和预测方面的优势，而人类则提供批判性思维、创造力、同理心和复杂问题解决技能。如果能够有效地实现人与人工智能系统的协作，可以带来改进的成果和创新。的确，许多公司已经使用人工智能自动化流程，但到目前为止，证据表明，那些旨在取代员工的部署只会带来短期的生产力提升。在一项涉及1500家公司的基本研究中发现，当人类和机器一起工作时，公司取得了最显著的绩效提升。
第七，增强智能：人工智能可以通过补充和增强人类能力来增强人类智能。它可以协助人们执行诸如信息检索、数据分析和问题解决等任务。人工智能支持的虚拟助手和机器人可以为人们提供即时支持和指导，提高他们的效率和效果。
第八，伦理考虑：人工智能在工作场所的整合引发了与隐私、安全、公平、透明度和问责制相关的伦理考虑。组织需要建立伦理框架和指南来确保人工智能系统的合理和可信赖的开发和部署。
第九，监控和评估AI实施。这个变化涉及到持续监控人工智能在工作场所的影响，并从员工那里收集反馈，以识别改进领域。定期的评估和反馈循环将有助于完善人工智能的实施和使用，确保其在增进工作效率、创新和其他方面的应用是有效和恰当的。（以上为AI补充，仅供参考）
目前，我们已经详细讨论了人工智能在工作场所创造的变化，以及人力资源应该如何应对这些变化。
现在，让我分享这张早先在一次HR会议上使用的幻灯片。2016年，我在一个名为“HR新模型”的会议上发表了演讲。现在，让我们看看这个模型。一个典型的组织结构包括首席执行官、人力资源业务伙伴、共享服务和一个运营部门，支持管理者和员工群体。公司是否能用这个模型应对人工智能在工作场所带来的变化？我们是否需要一个不同的模型？在回答这个问题之前，让我们看看应对每种类型变化需要发生什么。在这张幻灯片上，我展示了我简单的颜色编码技术。我简单地将所有类型的能力和技能分类并用不同颜色高亮显示。现在我们可以看到几个主要类别和一些零散项目。让我们稍微深入一些颜色分类的挑战。
首先，以蓝色突出显示的助理挑战和两个工作场所的变化。HR可以评估利用人工智能的技能和能力要求，为员工提供必要的资源，使他们能够理解和利用人工智能技术，以及如何通过人工智能来增强他们的工作。这包括关于人工智能概念、数据分析、自动化工具和人工智能支持决策的培训。HR可以培养持续学习的文化。
其次，以绿色突出显示的变革管理和沟通，在四个不同的工作场所变化中出现。HR可以积极地向员工传达人工智能实施的目的和好处，以提高生产力和效率。HR可以协助经理和员工分析工作并重新设计工作流程，以利用人工智能技术。这涉及识别可以自动化或由人工智能增强的任务和活动，简化工作流程，消除冗余或低价值测试，并确定人类和人工智能如何合作以优化生产力和效率。
第三，以热粉色突出显示的职业发展和内部流动性，在三个不同的工作场所变化中出现。HR可以进行技能评估，以确定组织内现有技能，并确定需要解决的AI相关角色的差距。这包括识别与人工智能技术合作所需的技术技能，如机器学习，以及有效沟通、批判性思维和问题解决所必需的软技能。
最后，以灰蓝色突出显示的伦理指导和治理，在三个不同的工作场所变化中出现。HR可以与法律、合规团队等相关利益相关者协作，为人工智能变革建立治理框架。那些仍以黑色显示的功能在未来几年将看到更多的自动化和置换，投资较少，因为这些能力在人工智能转型中的相关性较低。
为了跟上甚至领导人工智能趋势及其对工作场所的影响，HR可以采取几个积极的步骤。以下是我们可以考虑的一些关键行动：持续学习，HR专业人士可以深入了解人工智能技术、应用和影响；识别人力资源中的人工智能用例，HR可以探索各种可以增强其功能和简化流程的人工智能应用，例如自动化日常行政任务、改进候选人筛选和选拔流程，以及提供个性化的学习和发展机会；评估组织的人工智能准备情况，HR可以评估组织当前的基础设施、技术能力和文化，以确定其采用人工智能的准备情况；通信和透明度，人工智能实施期间的沟通和透明度对于缓解对工作安全的担忧、澄清人工智能采用的好处以及确保员工理解人工智能技术将如何增强而非取代他们的工作至关重要；监控和评估人工智能实施，HR可以持续监控人工智能对工作场所的影响，并从员工那里收集反馈，以识别改进领域。定期的评估和反馈循环将有助于完善人工智能实施。
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