CHRO 的新战略机遇：生成式 AI 如何重塑组织的未来概要：74% 的 CEO 认为团队已准备好迎接 AI，但只有 29% 的 C-suite 同意。这一巨大认知差距既是风险，也是 CHRO 最关键的机会窗口。预计到 2025 年，77% 的初级岗位与超过 25% 的高管岗位都将因 AI 发生改变。未来三年，CHRO 必须从支持角色转变为组织未来的设计者，围绕三项任务展开：构建 AI 人才战略、重塑组织运营模式、建立 AI 治理框架。AI 时代的核心竞争力不再是技术本身，而是 CHRO 如何重塑组织能力与文化。抓住这个窗口期，组织才能真正迈向未来。
引言：迎接组织变革的“AI 时刻”
生成式 AI 与以往任何技术都截然不同，它正以前所未有的速度颠覆商业与社会，迫使领导者实时反思并重塑其核心战略。这场变革的核心并非技术本身，而是它对“人”与“工作方式”的根本性重塑。正如深度研究所指出的，“生成式 AI 的一切都与人有关——关乎工作如何完成”。
懂得如何用生成式 AI 赋能人才的领导者，将对业务产生“倍增效应”。在未来三年，首席人力资源官（CHRO）将迎来一个决定性的转折点，从传统的支持角色转变为驱动这一倍增效应的核心战略制定者。然而，当前仍有高达 60% 的高管将人力资源视为纯粹的行政职能，这一认知错位不仅是巨大的风险，更预示着一个前所未有的战略机遇。CHRO 必须抓住此刻，引领组织迎接未来。
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一、趋势洞察：生成式 AI 正在重塑工作的本质
1. AI 放大人类能力，而非取代人类
生成式 AI 的核心价值在于放大人类的专业能力。它通过自动化市场研究、内容创建、数据分析和代码开发等重复性任务，让员工得以专注于更高价值的创造性工作。例如，客服人员可以将常规问答交给 AI，从而专注于销售赋能；程序员可以摆脱繁琐的编程，聚焦于提升代码质量与安全性；HR 专家则能从日常流程中解放出来，全力投入于真正重要的人才发展。
企业的竞争优势不再仅仅来源于技术本身，而是来源于规模化员工的专业知识和扩展组织的能力。这催生了“AI 增强型劳动力”的概念。一个清晰的现实是：生成式 AI 不会取代人类，但使用生成式 AI 的人将会取代不使用它的人。
2. CEO 与组织间存在显著的“AI 准备度差距”
高管层对组织 AI 准备度的认知存在显著脱节，这种乐观情绪背后潜藏着巨大风险。数据显示：
74% 的 CEO 认为他们的团队已经为生成式 AI做好了技能准备。
然而，仅有 29% 的 C-suite 高管 同意这一观点。
这一巨大的认知鸿沟，代表了 CHRO 最为紧迫的行动指令。更值得警惕的是，AI 的影响是普遍的：到 2025 年，77% 的初级员工的岗位将发生转变，同时超过四分之一的高管也无法幸免。这使得 CEO 的盲目乐观尤为危险。CHRO 的核心机会在于，识别并弥合组织内部的人才与能力错配，确保组织具备驾驭变革的真实能力。
3. 未来关键能力：创造力与协作力超越技术力
在一个看似由技术驱动的变革时代，一个反直觉的真相浮出水面：人类独有的软性能力正变得空前重要。一项核心洞察指出：
高管们认为，到 2025 年，对组织最有价值的技能将是创造力。
当技术性工作可以被 AI 高效辅助时，企业的核心竞争力将从技术熟练度转向那些机器无法复制的能力。高管们认为，团队建设和协作能力与软件开发和编码同等重要，甚至领先于分析和数据科学。创造力，将成为引领未来的关键。
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二、CHRO 的三大新使命：未来 36 个月的行动框架
为应对挑战，CHRO 需要一个清晰、可执行的战略框架，围绕以下三大新使命展开行动。
1. AI 人才战略 (Talent Strategy for AI)
目标：重新设计人才的“选、育、用、留”体系，构建一支 AI 增强型团队。
行动建议：
重塑岗位与技能图谱：推动对现有岗位职责的重新定义，将工作重心从执行重复性任务，转向利用 AI 进行分析、创造和战略决策。
推动全员技能再培训：将 AI 技能提升视为员工重大的职业发展机遇。尤其要重点投资于高绩效员工，因为 AI 无法放大平庸的绩效，它带来的是一场革命而非演进，其真正价值在于将优秀人才的能力提升到全新高度。
将人力资源部作为战略试点：要让全员拥抱 AI，首先要从人力资源部开始。CHRO 应将 HR 部门打造为组织内 AI 转型的战略试点项目，率先对 HR 专业人员进行再培训，使其成为组织内 AI 应用的实践者、引领者和赋能者。
2. 组织运营模式重构 (Operating Model Redesign)
目标：打造更敏捷、更智能、更具创造力的组织模式，以释放 AI 的全部潜力。
行动建议：
聚焦高价值应用场景：避免被海量的可能性分散精力。集中资源投资于三到五个最具商业影响力的 AI 应用场景（“Focus on the top five. Or three.”），以点带面，实现价值最大化。
建立快速迭代与试错文化：鼓励团队以“快速失败”（fail fast）的方式进行小范围实验。建立跨部门的反馈循环机制，系统性地分享成功案例、失败教训和实践经验。
利用 AI 优化工作流程：应用 AI 增强的流程挖掘技术，深入分析现有工作流程，精准识别瓶颈与低效环节，并通过智能化改造加速决策效率。
3. AI 治理与伦理 (AI Governance)
目标：建立负责任的 AI 使用框架，确保技术向善，规避潜在风险。
行动建议：
建立明确的道德准则：制定并推行一套清晰的 AI 道德使用框架，其中包含明确的标准、指南和行为期望。
保障数据安全与隐私：在鼓励全员实验的同时，必须围绕数据保护和道德规范设立明确的护栏，确保创新在安全可控的范围内进行。
确保透明与公平：在招聘、绩效评估等关键人力资源环节应用 AI 时，必须建立有效的机制来管理算法偏见，确保决策过程的透明度与公平性。
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三、从战略伙伴到未来设计师：CHRO 的新定位
生成式 AI 正在推动 CHRO 的角色发生根本性演进。CHRO 必须从被 60% 高管视为被动的行政支持者，进化为主动的战略引擎，成为组织未来工作模式的总设计师和 AI 时代人力资本的管理者。CHRO 的新角色是通过前瞻性地引导 AI 在人才与组织层面的落地，主动重塑组织文化、决策模式和业务节奏。
在最高管理层中，CHRO 的新定位是连接技术、人才与业务战略的关键枢纽。AI 的成功绝非单一部门的责任，而需要建立一个由业务、IT 和人力资源负责人共同负责的问责模式。在这个领导力“三驾马车”中，CHRO 作为平等的战略伙伴，确保技术投资能够真正转化为组织能力和商业价值。
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决胜未来，重在组织能力的设计
生成式 AI 时代已经到来，领先的企业正在迅速采取行动。最终的成功者，将是那些能够围绕人才与技能建立灵活、深思熟虑的战略，并积极克服组织焦虑、奖励热情、拥抱包容与乐观的组织。
在生成式 AI 时代，决定企业未来竞争力的不是技术本身，而是 CHRO 对组织与人才能力的重新设计能力。
The best HR & People Analytics articles of July 2025HR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!
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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.
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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.
Reskilling
2025年07月27日
Reskilling
超级员工的崛起 -The Rise of the Superworker: Delivering On The Promise Of AI《超级员工的崛起》研究报告揭示了AI如何深刻改变工作场所与工作方式。随着AI技术融入工作流程，传统工作模型被重新定义，AI正助力“超级员工”以创新的方式提升生产力和创造力。
报告指出，企业若想在AI时代中保持竞争力，必须重新设计工作与组织模式。首先，需要通过AI实现任务自动化并提高工作效率；其次，推动工作流程的整合，利用智能代理提升整体生产力；最后，培养员工适应变化的能力，推动动态化的工作环境。
AI并不是简单地取代工作，而是通过赋能实现员工能力的跃升。例如，一些企业利用AI快速生成培训计划，将原本需要数月的工作缩短为数天。报告也强调，随着AI成为“同事”，全新岗位将随之出现，如知识库维护员、AI数据隐私与伦理管理者等。
为了迎接这一变革，报告提出了五大关键战略：重新设计工作与组织模式，构建动态人才模型，调整薪酬与绩效体系，加强以人为本的领导力，以及加速系统性HR®的转型。只有将技术与人的因素完美结合，企业才能成功实现AI转型。
报告强调，AI的核心并非技术，而是通过创新推动人与组织的共同成长。1月28日的发布会将深入剖析这些趋势与战略。
We’re excited to launch our groundbreaking research “The Rise of the Superworker,” a deep dive into the impact of AI on the future of work. As our hallmark research for the year, it defines the roadmap for leadership, technology, and HR. (Register for the launch webinar on January 28.)
The Workforce and Workplace Environment
We are entering a year of political change, economic disruption, and changing labor markets. As I discussed recently (The Tumultuous Year Ahead), the world is experiencing talent shortages in front-line and blue collar work (US unemployment remains at 4.1%) while white-collar employment is softening. CEOs are investing in AI in a quest for productivity and workers are asking to be retrained. And many core values (diversity and inclusion, pay equity, remote work) remain challenging.
Companies believe that AI will transform their business, so investment in technology is exploding. Yet as history tells us, this “trillian dollar AI-based re-engineering” effort is about people, not technology. As the research points out, the AI revolution, as exciting as it feels, is all about redesigning the way we get things done. And that lands in the laps of HR: how we redesign, reskill, and redeploy people in a world of highly intelligent systems.
Understanding The Superworker and The Superworker Company
Let’s start with the basics. Companies are filled with business processes, tools, and job models designed around traditional people-centric work. Every job function, from sales to marketing to manufacturing, has been designed around the old-fashioned job families of the past.
In other words, we’ve run our companies as “people machines.” We design a set of jobs and job families, then hire, train, and promote people to grow. This model creates a sprawling company filled with skills challenges, people wanting promotion, and fragility as the business goes through change.
The digital revolution, which defines the last 27 years of transformation, did speed things up. It automated many processes and opened up the ideas of self-service, e-commerce, and direct consumer transactions. But it didn’t fundamentally change how companies are organized: rather it accelerated the processes we had.
Suddenly, with AI everything is different. As the most intelligent and data hungry technology ever, AI stands to integrate and redefine every business process and “superpower” every employee. And this shift, toward copilots, agents, digital twins, and intelligent platforms, forces us to rethink how we’re organized, what we do, and what we define as a “job.”
We are building a company of Superworkers.
What exactly is a “Superworker?”
A Superworker is an individual who uses AI to dramatically enhance their productivity, performance, and creativity. As routine work gets automated, AI has the potential to empower everyone, eliminating some roles while empowering many others.
A “Superworker company” is an organization that embraces this transformation, building a culture of adaptability where people reinvent themselves. Our new Dynamic Organization research shows that such change-ready companies outperform their peers by six-times.
Just as Superman Clark Kent learned to channel his powers, we must learn to harness AI for individual and team performance. This means not just automating existing tasks, but rethinking how work gets done, empowering people to do more, and creating opportunities for growth.
The Historical Perspective: From Automation to Autonomy
We’ve seen waves of automation before, but this time it’s different.
In the past we used machines to automate the work of craftsmen and tradespeople. A welder, farmer, or shoemaker had his or her expertise built into a machine so their craft could scale at low cost. The expert didn’t go away, rather he or she helped design the machine.
AI does the same for white collar work. Writers, analysts, marketers, and sales people are now superpowered, leveraging their skills to drive scale. AI will not replace these special individuals: it empowers them to scale and expand their impact.
But in the case of AI we go further: it doesn’t just automate tasks; it becomes a co-worker itself: listening, learning, reasoning, and acting. So new and better jobs are created, designing, training, and managing the AI.
And the shift to Superworker happens everywhere: from the retail clerk to the nursing supervisor to the senior executive.
The New Corporate Imperative: Redesign Work and Jobs
This transformation won’t happen without effort.
Today, as AI systems still mature, our challenge is not implementing AI, but redesigning jobs, and business processes around AI. And that’s why success with AI is a people problem, not a technology one. And if you don’t get this right, your AI transformation will lag.
Academic studies show that 45% of change management programs fail, and 72% of the reason is “people resistance.” So consider this:
For each dollar spent on machine learning technology, companies may need to spend nine dollars on intangible human capital,” Erik Brynjolfsson wrote in 2022, citing research by him and others.
Consider the four stage model below, where we look at “current jobs” vs “re-engineered jobs” on the horizontal, and level of output on the vertical.
AI transformation begins with assistance, then moves to augmentation, then to work replacement and then to autonomy. The level of performance improvement goes up exponentially.
This process of rethinking business processes takes time. When electricity was invented companies replaced horse-driven machines with motors. Decades later engineers realized we could redesign the entire manufacturing process by integrating the entire supply chain.
The same will happen again. We may start by automating emails and data access, but over time we build “digital twins” and configurable agents to manage entire projects and business processes.
One of our clients built an entire platform that can interview stakeholders, import documentation, build training programs, and publish training and certification programs by AI. Humans are still needed, but now they’re the “super-curators” and “craftsmen” perfecting the product. New programs that took 3-6 months can be generated in a few days.
This kind of redesign is now being used for claims analysis, sales enablement, RFP generation, and workplace design. (Our report 100 Use Cases For Galileo explains dozens of such solutions available now for HR.)
The Work Redesign Challenge
How do we get there? Business and HR teams work together, following these stages.
Improve efficiency at current job: Use AI to make existing work more efficient: same job as before, new tools to make it easier. Examples include an office worker using MS Copilot.
Automate tasks to increase scale: An engineer uses AI to write code. A marketer builds videos and campaigns automatically. An HR manager rapidly builds job descriptions or analyzes performance.
Integrate processes to improve productivity: Agents now handle multiple connected steps. A retail clerk automatically checks out customers; a nurse uses a machine to monitor dozens of patients and make diagnostics; an HR manager builds learning programs in minutes.
Leverage autonomy for more: The AI manages multi-step processes (customer service, candidate communications, recruiting, campaign design) and the people “manage” the digital employee.
This creates four types of Superworker:
An Example: The HR Business Partner
Consider the role of HR Business Partner (HRBP), a complex job that’s constantly changing.
An HR business partner (HRBP) equipped with AI like Galileo™ can automatically analyze turnover, productivity, individual performance, and leadership potential. The AI HR Agent can help compare job candidates against multiple requirements. Analysis, coaching, and hiring speed goes up, and the HRBP is now a Superworker.
Then the transformation continues. What if we give the AI to managers. Do we need the HRBP at all? (IBM has made this step.)
Yes, now the HRBP manages the AI. Just as Wayze may drive you automatically, someone behind the scenes is monitoring your trip to help you when things go wrong. This “Superworker” job is the upgraded role of the HRBP.
AI As A Job Creation Technology
Many new jobs will be created. Who maintains the knowledge base that feeds the AI? Who ensures data privacy and security? Who handles the ethical issues that arise? Who monitors the AI to make sure it’s trained well? And once these multi-step digital employees exist, who will manage them?
These are new Superworker jobs.
Five Imperatives for 2025
How do we make this transition a success?
Here are five key imperatives detailed in our study:
Redesign Work, Jobs, and Organizational Models: Focus on the customer, how success is measured, then apply AI. This is what we call “productivity-based job design”. Deconstruct work into activities, evaluate AI solutions, and determine the human role alongside AI, using the models above.
Create a Dynamic Talent Model: The traditional “prehire to retire” model is becoming obsolete. We need a more dynamic approach where people move across roles and projects. Prioritize internal mobility and foster a culture of growth. Focus on “doing more with what we have” by upgrading the productivity of our existing workforce. Focus on building “talent density“.
Rethink Pay, Rewards, and Performance: Move from traditional pay models to “systemic rewards,” based on role, skills, and output. New roles may warrant higher pay, not lower. (Lightcast sees a $45,000 premium for workers with AI skills.)
Refine Leadership and Culture: Focus on human-centered leadership: this is a time of change. Ensure leaders understand AI, foster innovation, and focus on productivity, not headcount. Start co-design projects in every functional areas. Get line employees involved in transformation efforts.
Accelerate the Shift to Systemic HR®: HR must operate in a consulting role. Integrate HR silos, develop a change-enablement team. Experiment with AI tools in HR and train the HR team about AI.
Let me give you an example.
One of our large clients, a healthcare company, created a “transformation enablement” team in HR that does co-design workshops throughout the business, helping with process redesign, role design, job changes and pay and rewards changes. They built a set of tools and methodologies which are well established. HR professionals rotate into this team for education. Every HR function should set up “AI transformation teams” like this.
AI isn’t here to replace us; it’s here to empower us.
How To Get The Research and Learn
The Rise of the Superworker predictions report is available to all users of Galileo™, The Josh Bersin Academy, or Corporate Members. (A Galileo Pro membership is only $39 per month, and JBA membership is $49 per month.)
If you want to learn more and follow our ongoing case studies, briefs, and AI tools, download the Rise of the Superworker Overview today. You will be registered for regular updates. And please register for our launch webinar on January 28 where I will detail this entire story.
The Superworker era has arrived, join us in the journey!
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.
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