12 Opportunities for HR in 2026: Building Organisations That Thrive in the Agentic AgeThe best way to predict the future is to create it (Peter Drucker).
If 2024 and 2025 were years of experimentation with generative and agentic AI, 2026 is the year organisations must scale. CEOs now expect measurable productivity improvements, while CFOs demand disciplined value creation. Yet many organisations remain stuck in pilot mode - not because the technology is immature, but because their operating models, skills and structures cannot absorb AI at scale.
Two-thirds of CEOs say their competitive differentiation depends on having the right expertise in the right roles, supported by reskilling, selective hiring, AI agents and strategic partnerships - the “build, buy, bot, borrow” model. Workforce strategy has become a CEO-level concern.
Introduction: HR’s R&D Moment
In the AI future, HR becomes your R&D department (Ethan Mollick)
For HR, the implications are profound. As Ethan Mollick notes, “In the AI future, HR becomes your R&D department”. HR now sits at the intersection of work redesign, skills strategy, leadership capability, organisational health and AI governance. The choices HR makes in 2026 will determine whether organisations unlock agentic productivity - or continue to experiment with little or no impact.
During the 10+ years I’ve been publishing this annual look at the year ahead, it has evolved from predictions to opportunities, because the forces shaping work now unfold over multiple years – and as Niels Bohr wryly observed:
“Prediction is very difficult, especially if it's about the future!” (Niels Bohr)
As ever, the 2026 opportunities are informed by Insight222 research, conversations with CHROs and people analytics leaders, Digital HR Leaders podcast interviews, and extensive academic and market analysis.
What follows are 10 opportunities for HR to lead with clarity, evidence, purpose and humanity in the agentic age. As in past years, I will again crowdsource two additional opportunities from readers, so please add your ideas in the comments below. An extensive list of references and further reading are also provided at the end of the article.
"When HR is fully engaged, AI adoption accelerates" (Bain, You Can't Spell AI without HR)
THE 12 OPPORTUNITIES FOR HR IN 2026
FIG 1: 12 Opportunities for HR in 2026 - as envisaged by NotebookLM (Source: David Green)
#1. Redesign Work for a Human-AI Operating System
“Agentic AI is already changing the nature of tasks, workflows, and roles — and organisations must redesign work to fully capture the benefits.” (McKinsey, The State of AI in 2025)
Organisations are beginning to move beyond experimentation and rethinking how work is structured. HR should now take the lead in designing the operating system that orchestrates humans and AI agents: clarifying tasks, workflows, decision rights, escalation points and where humans add unique value.
The question is no longer “What can we automate?” but “What is the optimal blend of humans and agents to deliver what we need?” That means starting from outcomes, decomposing work into tasks, and then deciding which should be human-led, AI-augmented or agent-delivered.
A coherent operating system requires clear governance: transparency, ethical boundaries, decision thresholds, and norms for human oversight. With CEOs pushing for productivity and CFOs demanding cost discipline, HR has the opportunity to become the architect of safe, scalable, value-creating AI-enabled work. Organisations that get this right will accelerate productivity, decision quality and speed of execution; those that don’t risk remaining confined to pilot purgatory.
“The future of work will be shaped not by replacing humans, but by redesigning systems to optimise the partnership between people and technology.” (Oliver Wyman Forum, How Generative AI is Changing the Future of Work)
"When you redesign work around human strengths, AI becomes a multiplier, not a threat. The shift is from doing tasks to orchestrating outcomes." (Loren Shuster, Digital HR Leaders podcast episode)
FIG 2: Human Agency Scale (Source: Stanford)
#2. Elevate Strategic Workforce Planning into a Core Enterprise Discipline
“Strategic workforce planning is now a CEO-level priority.” (McKinsey, Workforce Planning in the Age of AI)
Strategic workforce planning (SWP) has been elevated from an HR process to a C-suite priority. CEOs now see talent, skills, automation and cost decisions as central to enterprise performance. Consequently, HR must transform SWP into a dynamic system connecting strategy, skills, cost and organisational design. This involves scenario modelling, internal mobility mapping, talent flow analysis and productivity forecasting- not traditional headcount planning.
The “build, buy, bot, borrow” portfolio CEOs expect HR to manage demands continuous decision-making, not annual cycles. In an agentic environment, demand for skills shifts constantly, and SWP becomes the mechanism that helps leaders decide: When to reskill. When to hire. When to deploy agents. When to partner
Done well, SWP becomes one of the CEO’s sharpest tools for competitiveness, enabling faster reallocation of talent, clearer trade-offs and more confident long-term investment.
"The companies that get ahead build workforce planning into the business rhythm, not as an annual HR exercise but as a strategic capability." (Diane Gherson, Digital HR Leaders Podcast episode)
FIG 3: Five shifts for the future of workforce planning (Source: Deloitte)
3. Build a Dynamic Skills and Capability Ecosystem
“Skills have become the currency of work — and organisations must create systems where people can move fluidly to opportunities.” (World Economic Forum, Global Skills Taxonomy Toolkit)
Static job architectures cannot keep up with the speed of work. HR must build a dynamic skills ecosystem that continuously identifies, updates and deploys skills. AI-driven inference can surface emerging capabilities in real time, replacing outdated self-reporting and static competency models.
This ecosystem supports transparent internal mobility, talent marketplaces, AI-enabled learning and capability building aligned to business priorities, not generic training. Employability shifts toward adaptability, breadth, and the ability to collaborate effectively with AI.
Skills ecosystems reduce external hiring, increase internal mobility and enable transformation at scale. In 2026, skills can become the operating layer of the enterprise, connecting strategy, workforce decisions and learning in one adaptive system.
“High-performing companies are shifting from jobs to skills, and from hierarchy to capability ecosystems that evolve as fast as the business.” (BCG, AI at Work 2025)
"The real reason to become a skills-based organisation is business agility. As strategy shifts and technology evolves, you have to continually understand who you have relative to the work that needs to get done." (Sandra Loughlin, Digital HR Leaders Podcast episode)
FIG 4: Core skills in 2030 (Source: World Economic Forum)
4. Reshape Leadership for the Agentic Age
“As AI changes how work happens, leadership must evolve.” (BCG, As AI Changes Work, CEOs Must Change How Work Happens)
Leadership models built for supervision, expertise and control are no longer fit for a world where agentic AI executes tasks, synthesises information and accelerates decision cycles. In the agentic age, the leader’s job shifts from managing work to orchestrating systems - framing problems, setting direction, governing risk and enabling people and agents to operate together productively.
The research appears to be unequivocal: organisations will only capture the value of AI if leaders develop new muscles- judgement, systems thinking, ethical reasoning, rapid learning, transparency and the ability to steward change at speed. Leaders must become designers of workflows, not reviewers of work; enablers of experimentation, not gatekeepers; role models for adaptability, not certainty.
Psychological safety becomes even more important. As Amy Edmondson notes, people need to feel safe challenging both leaders and AI outputs. Leaders who create clarity, connection and trust see far higher adoption of agentic tools. Insight222 research highlights that the most effective leaders use data and evidence to guide decisions, while staying deeply human in how they communicate and build culture.
Perhaps most importantly, leaders must unlearn. As Katarina Berg puts it, almost everything about how we lead “is being rewritten” - and clinging to legacy behaviours slows the organisation.
The leaders who thrive will be those who embrace humility, curiosity and the mindset of a system architect - guiding people and AI to create outcomes neither could achieve alone.
"Psychological safety extends to AI. People must feel safe to question outputs and raise concerns." (Amy Edmondson, Digital HR Leaders podcast episode)
“Leaders have to get comfortable unlearning…we can’t cling to practices that no longer help people thrive.” (Katarina Berg, Digital HR Leaders podcast episode)
5. Strengthen Organisational Health, Fairness & Inclusion to Unlock Sustainable Performance
“Improving worker wellbeing is a powerful mechanism to raise productivity — potentially by 10–15%.” (McKinsey Health Institute and World Economic Forum, Thriving workplaces: How employers can improve productivity and change lives)
Organisational health, fairness and inclusion are now fundamental economic multipliers. Organisations that prioritise wellbeing consistently outperform peers on innovation, retention, productivity and financial performance.
In the agentic age, these issues become even more central. Poorly implemented AI can increase cognitive load, reduce autonomy and introduce new fairness risks - from biased models to opaque decisioning. HR must embed fairness, safety and inclusion into workflows, hiring systems, performance management and career pathways. Work should be redesigned to reduce friction, protect autonomy and ensure equitable access to opportunity and skills.
Healthy organisations transform faster, retain scarce skills and build the trust required for AI adoption. “Make work better” shouldn’t just be a slogan (as well as the name of a rather excellent blog by Bruce Daisley); it should be a mandatory requirement for sustainable performance.
"Firms that prioritise wellbeing outperform the stock market… delivering higher shareholder returns.” (De Neve et al, Workplace Wellbeing and Firm Performance)
"Fairness matters more than ever. AI raises the stakes, so leaders must communicate clearly and build cultures of accountability." (Patricia Frost, Digital HR Leaders podcast episode)
FIG 5: The relationship between employee wellbeing and firm financial performance (Source: McKinsey, World Economic Forum, De Neve et al)
6. Reimagine Employee Experience for a Hybrid, AI-Augmented Workforce
“Employee experience is now the chief predictor of retention, productivity, and resilience.” (Deloitte, Global Human Capital Trends 2025)
Employee experience (EX) must now be designed as a system, not a collection of disconnected initiatives. Continuous listening, behavioural insights and real-time feedback loops replace annual surveys as the core instrumentation of EX.
AI is reshaping how people collaborate, solve problems and access support - from copilots in productivity tools to agents embedded in HR services. HR’s task is to ensure these tools remove friction, strengthen connection and enhance, rather than erode, meaning and craftsmanship.
Culture is experienced in small moments: team rituals, collaboration norms, clarity of roles, responsiveness of systems. Organisations that redesign EX holistically - across workflows, leadership behaviours, workplace design, technology and hybrid rhythms - should unlock higher levels of resilience, engagement and performance.
In 2026, EX should evolve to become the way strategy is felt by employees day-to-day, not a separate programme.
"Hybrid work isn’t a policy — it’s an ecosystem. You have to design experiences intentionally, otherwise you get the worst of both worlds." (Michael Fraccaro, Digital HR Leaders podcast episode)
Join me for a webinar on January 15 as we unveil the key findings from the Insight222 People Analytics Trends
Register to join Madhura Chakrabarti, PhD, Jonathan Ferrar and me for an exclusive webinar on January 15 as we unveil the findings of the sixth annual Insight222 People Analytics and AI Trends study. Based on data from 370+ companies across the globe. Sign-up here.
7. Scale People Analytics as a Strategic Intelligence Function
“People analytics must evolve from answering HR questions to shaping enterprise decisions.” (Insight222, People Analytics Trends Report 2025–26)
People analytics is becoming the intelligence system that guides enterprise decision-making. With skills data, workflow telemetry, organisational network insights and AI-usage patterns, organisations can finally understand how work actually happens rather than how it appears in org charts or process maps. This shift - from descriptive reporting to real-time organisational sensing - is fundamental in the agentic age.
To scale effectively, people analytics requires firm foundations: automated data pipelines, integrated skills and work data, responsible governance and the capability to design and run experiments at pace. The aim is not to produce more dashboards (heaven forbid); it is to produce clarity. Which behaviours drive productivity? How is value created in teams? Where are critical skills emerging or eroding? What is the impact of AI agents on work quality, decision velocity and employee experience?
Done well, people analytics becomes a strategic advantage: a system that enables early detection of risk, faster reallocation of talent, and continuous improvement of workflows and leadership behaviours. In an agentic organisation, the winners will be those who learn faster, not merely those who measure faster.
“The link between people data and business performance becomes clear when you can show how engagement and capability lift profitability.” (Sharon Taylor, Digital HR Leaders podcast episode)
"The power of people analytics comes when insight ties directly to business outcomes — performance, customer experience, productivity." (Dawn Klinghoffer, Digital HR Leaders podcast episode)
FIG 6: Insight222 Leading Companies in People Analytics Model (Source: Insight222)
8. Embed Responsible AI & Workforce Governance
“AI cannot scale without trust.” (Gartner, AI in HR: Hits, Misses and Growing Pains)
Trustworthy AI is now a business imperative. As organisations deploy agentic systems across workflows, HR must lead the creation of governance frameworks that ensure fairness, explainability and ethical use of both employee and organisational data. This means setting clear decision boundaries, defining human-in-the-loop oversight, stress-testing models for bias, and establishing transparent communication so employees understand how AI affects opportunities, assessments and career paths.
Effective governance also requires continuous monitoring of outcomes, not just initial risk assessments. Research shows that poorly governed AI erodes trust, increases cognitive load and amplifies inequity - while well-designed systems enhance autonomy, safety and performance at scale.
Governance is not a brake on innovation; it is the guardrail that enables safe acceleration. Organisations with explicit principles, documented guardrails and credible oversight adopt AI faster and with greater employee support. Responsible AI is no longer a peripheral concern - it is a core component of the modern social contract between employer and employee.
“Responsible AI must be embedded from the start, not retrofitted once problems occur.” (TI People, From AI Impact Assessment to Results)
"AI amplifies both good and bad decisions. Governance is not optional — it’s the difference between progress and harm" (Tomas Chamorro-Premuzic, Digital HR Leaders podcast episode)
9. Elevate the CHRO as Enterprise Co-Pilot in Organisational Reinvention
“The CHRO is now the CEO’s most important partner in navigating the AI transition.” (BCG, What CEOs Should Look For in an AI-First Chief People Officer)
With work, skills, leadership and operating models being redesigned simultaneously, the CHRO has become the CEO’s closest strategic partner. Boards increasingly rely on CHROs to assess leadership capability, organisational health, skills readiness, talent allocation and the workforce implications of AI-driven change.
The modern CHRO blends economics, organisational psychology, AI literacy, systems thinking, culture expertise and data fluency. They shape decisions on business model reinvention, automation strategy, productivity, leadership appointments, capability building and culture renewal.
This is a profound expansion of scope. CHROs who embrace this mandate will become architects of reinvention, not custodians of HR processes. The role is more complex, more consequential and more central to enterprise performance than at any point in the last 50 years – perhaps ever.
“The CHRO has moved from people expert to organisational architect — shaping how work evolves with technology.” (Lynda Gratton, Digital HR Leaders podcast episode)
"CHROs have a unique vantage point: they understand capability, culture and change. That combination is what drives transformation." (Janine Vos, Digital HR Leaders podcast episode)
10. Reinvent the HR Operating Model and HR Capabilities for the Agentic Era
“Traditional structures will not deliver the speed or integration now required.” (Mercer, Operating by Design: Mercer’s new outcome-driven operating model for HR and technology)
HR cannot deliver any of the nine opportunities presented in this article without reinventing itself. Traditional COEs and service-delivery models were designed for times of stability - not today’s world of continuous workflow redesign, dynamic skills needs and pervasive AI.
A modern HR operating model requires:
Cross-functional integration rather than siloed COEs
AI-enabled workflows that automate transactional work
Real-time intelligence from people analytics and skills data
Clear decision rights and owner–accountability for outcomes
HRBPs fluent in AI, economics, data and organisational diagnosis
HR teams need new foundational capabilities: systems thinking, experience design, product mindset, experimentation, behavioural science, data literacy and technical fluency.
Only by reinventing itself can HR enable reinvention everywhere else.
“The HR function of the future blends analytics, experimentation, organisational design and technology fluency. These are no longer optional skills—they are foundational.” (Insight222, People Analytics Trends Report 2025–2026)
“HR leaders need to think of themselves as product managers, where employment is the product. That mindset changes everything — from how we design experiences to how we drive adoption and co-create solutions with our stakeholders." (Tanuj Kapilashrami, Digital HR Leaders podcast episode)
FIG 7: The New HR Operating Model (Source: TI People)
WHAT HR MUST BECOME TO DELIVER THESE OPPORTUNITIES
To realise these ten opportunities, HR must evolve into a more integrated, insight-driven and future-defining organisational function. That transformation requires three essential shifts.
Operate as an integrated enterprise system.
Redesigning work, skills, leadership and employee experience cannot be achieved by isolated teams. Talent, learning, EX, people analytics and HR operations must function as an interconnected platform with shared outcomes, shared intelligence and shared accountability. The problems we are solving - skills scarcity, organisational redesign, leadership transformation and AI integration - are all system problems, and so therefore require system responses.
Become AI-fluent and evidence-led.
HR professionals do not need to become data scientists or engineers, but they must understand AI’s capabilities, risks and organisational implications. AI literacy, data fluency and scientific thinking are now foundational capabilities for those aspiring to successful careers in HR. As work becomes more agentic, judgement improves when paired with evidence - and HR must champion this partnership across the organisation, from frontline decisions to board-level discussions.
“If HR doesn’t understand how AI works, we can’t shape how work gets redesigned. Data and AI literacy isn’t optional anymore — it’s the entry ticket.” (Nickle LaMoreaux, Digital HR Leaders podcast episode)
Build a new capability portfolio.
The future HR function blends organisational psychology, behavioural science, systems thinking, experience design, experimentation, governance, talent economics and transformation leadership. These capabilities enable HR to redesign workflows, govern AI ethically, accelerate skill building and orchestrate complex, multi-year change.
In short, HR must become the function that designs, enables and accelerates organisational reinvention - not merely responds to it.
“The best HR teams are running experiments constantly. It’s not about having all the answers — it’s about learning faster than the organisation around you.” (Thomas Otter, Digital HR Leaders podcast episode)
CONCLUSION: HR'S MOMENT OF MAXIMUM INFLUENCE
2026 is a defining year. Organisations are no longer debating whether AI will reshape work - they are debating how fast, how safely and how humanely. That places HR at the centre of enterprise strategy in a way we have not seen in decades.
These opportunities are not tasks - they are capabilities to build. They demand a more integrated, experimental, analytical and courageous HR function. Some will challenge long-held assumptions. Most will stretch HR beyond its comfort zone.
But the prize is meaningful. Organisations that combine agentic technology with human judgement and care will outperform those relying on technology alone. HR—with its unique position at the intersection of people, work and strategy—holds the key for how organisations adapt, thrive and unlock value in the agentic age.
This is HR’s moment of maximum influence.
The question is not whether HR is ready — but whether we will seize the opportunity...
CROWDSOURCING: HELP SHAPE THE FINAL TWO OPPORTUNITIES
Each year, the best ideas come from this community. The challenges and innovations transforming HR rarely originate from a single company - they emerge from the everyday work of practitioners across industries.
So, once again, I’m opening up the final two opportunities to you.
If you were to add one opportunity HR must focus on in 2026, what would it be—and why?
It could be something emerging in your organisation, a challenge I have under-discussed in the first ten opportunities, or a shift you believe is coming faster than most expect.
Share your ideas in the comments. I’ll synthesise the strongest contributions into two additional opportunities - #11 and #12 - in an update of this article in the New Year.
Together, let’s shape the agenda for HR in 2026.
REFERENCES AND FURTHER READING
The following resources informed the 2026 opportunities and are all recommended reading (or listening!) for readers (Please note some resources informed more than one opportunity for in the interests of brevity have only been listed once):
Introduction: HR’s R&D Moment
PwC, 28th Annual Global CEO Survey (2025) | IBM Institute for Business Value, CEO Study: Five Mindshifts to Supercharge Business Growth (2025) | World Economic Forum (Attilio Di Battista, Sam Grayling, Ximena Játiva, Till Alexander Leopold, Ricky LI, Shuvasish Sharma, and Saadia Zahidi), Future of Jobs Report (2025) | Accenture (Karalee Close and Kestas Sereiva), Reinventing enterprise models in the age of generative AI (2025) | Ethan Mollick, One Useful Thing (Blog) | Jason Averbook, Now to Next (Blog) | Wharton and GBK Collective (Jeremy Korst, Stefano Puntoni and Prasanna Tambe), Accountable Acceleration: Gen AI Fast-Tracks Into the Enterprise (2025) | Bain (Vincent Greco, Ph.D and John Hazan), You Can't Spell AI without HR: The Surprising Secret to Scale (2025) | Peter Hinssen and David Green ?? - Uncertainty as an Opportunity: HR’s Role in Shaping the Future of Work (Digital HR Leaders podcast episode)
Opportunity 1 (Redesign Work for a Human–AI Operating System)
McKinsey Quantum Black (Alex Singla, Alexander Sukharevsky, Lareina Yee, Michael Chui, Bryce Hall and Tara Balakrishnan), The State of AI in 2025: Agents, Innovation and Transformation (2025) | Microsoft Work Trends, 2025: The Year the Frontier Firm is born (2025) | Kathleen Hogan - Becoming a Frontier Firm: Orchestrating Microsoft’s Next Transformation in the Age of AI | Deloitte (Kyle Forrest, Chetan Jain, Greg Vert, Franz Gilbert, Arthur Mazor, Simona Spelman, Bhawna Bist, Derek Polzien), HR Reimagined (2025) | McKinsey ( Alexander Sukharevsky, Alexis Krivkovich, Arne Gast, Arsen Storozhev, Dana Maor, Deepak Mahadevan, Lari Hamalainen, and Sandra Durth), The agentic organization: Contours of the next paradigm for the AI era (2025) | Oliver Wyman Forum (Ana Kreacic, Amy Lasater-Wille, Lucia Uribe, Ravin Jesuthasan, CFA, FRSA, John Romeo, and Simon Luong), How Generative AI Is Changing The Future Of Work (2025) | Ravin Jesuthasan, CFA, FRSA, Want AI-Driven Productivity? Redesign Work (2025) | McKinsey Global Institute (Lareina Yee, Anu Madgavkar, Sven Smit, Alexis Krivkovich, Michael Chui, María Jesús Ramírez Larraín and Diego A. Castresana Bao), Agents, robots, and us: Skill partnerships in the age of AI (2025) | Loren I. Shuster and David Green ??, How LEGO Integrates People, Places and Culture (Digital HR Leaders podcast, 2024) | Dave Ulrich, Talent Advantage = AI (Artificial Intelligence) * HI (Human Ingenuity): A Formula for Business and HR Leaders (2025) | McKinsey (Sandra Durth, Asmus Komm, and Charlotte Seiler), HR’s transformative role in an agentic future (2025) | Stanford (Yijia Shao, Humishka Zope, Yucheng Jiang, Jiaxin Pei, David Nguyen, Erik Brynjolfsson, Yang Diyi), Future of Work with AI Agents (2025)
Opportunity 2 (Elevate Strategic Workforce Planning into a Core Enterprise Discipline)
McKinsey (Neel Gandhi, Sandra Durth, and Vincent Bérubé, Charlotte Seiler, Kritvi Kedia and Randy Lim), The Critical Role of Strategic Workforce Planning in the Age of AI (2025) | Deloitte (Susan Cantrell, Russell Klosk (智能虎), Zac Shaw, Kevin Moss, Christopher Tomke, and Michael Griffiths), The Future of Workforce Planning (2025) | Ross Sparkman and David Green ??, How to Influence Business Strategy Through Workforce Planning, (Digital HR Leaders podcast, 2025) | David Edwards, The Strategic Workforce Planning Handbook (2026) | Gartner (Maggie Schroeder-O’Neal and Jonah Shepp), 3 Steps to Initiate a Strategic Workforce Plan (2024) | PwC, Saratoga Annual HR & Workforce Benchmarking Report (2025) | Diane Gherson, Lynda Gratton and David Green ?? - The Key Role of HR In Successfully Integrating a Blended Workforce (Digital HR Leaders podcast, 2024)
Opportunity 3 (Build a Dynamic Skills and Capability Ecosystem)
World Economic Forum (Neil Allison , Ximena Játiva, and Aarushi Singhania), Global Skills Taxonomy Adoption Toolkit: Defining a Common Skills Language for a Future-Ready Workforce (2025) | Lisa K. Simon, How Much Is a Skill Worth? (2025) | BCG (Vinciane Beauchene, Sylvain Duranton, Nipun Kalra, and David Martin), AI at Work 2025: Momentum Builds, But Gaps Remain (2025) | World Economic Forum ( Mario Di Gregorio, Genesis Elhussein, Ximena Játiva, Saadia Zahidi), New Economy Skills: Unlocking the Human Advantage (2025) | Amy Baxendale and David Green ??, How Arcadis is Building a Skills Powered Organisation (Digital HR Leaders podcast, 2025), Sandra Loughlin, PhD and David Green ??, Building a Skills-Based Organisation: Lessons from a 30-Year Journey(Digital HR Leaders podcast, 2024)
Opportunity 4 (Reshape Leadership for the Agentic Age)
BCG (Vinciane Beauchene, Orsolya Kovacs-Ondrejkovic and David Martin), As AI Changes Work, CEOs Must Change How Work Happens (2025) | Gartner, Top 3 Strategic Priorities for Chief HR Officers (2025) | Rebecca Hinds, PhD and Bob Sutton, The 5 AI Tensions Leaders Need to Navigate (2025) | Katarina Berg and David Green ??, The New CHRO-CEO Partnership: Leading with Insight and Humanity (Digital HR Leaders podcast, 2025)
Opportunity 5 (Strengthen Organisational Health, Fairness & Inclusion to Unlock Sustainable Performance)
McKinsey Health Institute and World Economic Forum (Barbara Jeffery, Brooke Weddle, Jacqui Brassey, PhD, MA, MAfN ?️? ?? (née Schouten) and Shail Thaker) - Thriving workplaces: How employers can improve productivity and change lives (2025) | Jan-Emmanuel De Neve, Micah Kaats and George Ward, Workplace Wellbeing and Firm Performance (2024) | Erin Meyer and David Green ?? - How to Bridge Cultures and Lead Global Teams for Success (Digital HR Leaders podcast episode, 2025) | Patricia Frost, Ruslan Tovbulatov, and David Green ??, The AI Pivot: Seagate’s Workforce Transformation in the Age of AI (Digital HR Leaders podcast, 2025)
Opportunity 6 (Reimagine Employee Experience for a Hybrid, AI-Augmented Workforce)
Deloitte (Susan Cantrell, David Mallon, Kevin Moss, Nicole Scoble-Williams GAICD, and Yves Van Durme), 2025 Global Human Capital Trends (2025) | Brian Elliott, Nick Bloom and Prithwiraj Choudhury, Hybrid Work Is Not the Problem — Poor Leadership Is (2025) | Michael Fraccaro and David Green ??, How Mastercard is Using AI to Drive Employee Success and Leadership Growth(Digital HR Leaders podcast, 2024)
Opportunity 7 (Scale People Analytics as a Strategic Intelligence Function)
Insight222 (Madhura Chakrabarti, PhD, Heidi Binder-Matsuo, Jay Dorio, and Jonathan Ferrar) Navigating AI & People Analytics from Ambition to Action: People Analytics Trends Report 2025–2026 (Available from January 15, 2026) | Thomas Hedegaard Rasmussen, Mike Ulrich, and Dave Ulrich, Moving People Analytics From Insight to Impact (2023) | Cole Napper, The Tree of Value (2025) | Dawn Klinghoffer and David Green ??, How Microsoft Uses People Data to Shape Flexible Working That Helps Teams Thrive (Digital HR Leaders podcast, 2025) | Amy Coleman, Flexible work update (Microsoft, 2025) | Sharon Taylor, Jaco Van Vuuren and David Green ??, Digitising HR for 55,000 Employees: Lessons from Standard Bank (Digital HR Leaders podcast, 2024)
Opportunity 8 (Embed Responsible AI & Workforce Governance)
Gartner (Helen Poitevin), AI in HR: Hits, Misses & Growing Pains (2025) | TI People, From AI Impact Assessment to Results (2025) | Amy Edmondson and David Green ??, How Learning to Fail Can Help People and Organisations to Thrive (Digital HR Leaders podcast, 2024) | Dr Tomas Chamorro-Premuzic and David Green ?? - Why Authenticity Is Overrated — and What Great Leaders Do Instead (Digital HR Leaders podcast, 2025)
Opportunity 9 (Elevate the CHRO as Enterprise Co-Pilot in Organisational Reinvention)
BCG (Julie Bedard and David Martin), Strategy and Soft Skills: What CEOs Should Look For in an AI-First Chief People Officer (2025) | Josh Bersin, The Pivotal Role Of Chief HR Officer in AI Transformation (2025) | Josh Bersin and Kathi Enderes, Secrets Of The High Performing CHRO (2025) | Eric Anicich and Dart Lindsley, Reimagining Work as a Product (2024) | Dave Ulrich, Dick Beatty, and Patrick Wright, The HR Inflection Points: What’s Next for HR and How to Respond (2025) | Janine Vos and David Green ??, The CHRO’s Playbook: How to Build an Agile and Data-Driven HR Function (Digital HR Leaders podcast, 2025)
Opportunity 10 (Reinvent the HR Operating Model and HR Capabilities for the Agentic Era)
Mercer (Emily Liddle, Jim Scully, Alexandra Zea, Jonathan Gordin, David Mitchell, Kristin Rhebergen and JESS VON BANK), Operating by Design: Mercer’s new outcome-driven operating model for HR and technology (2025) | McKinsey (Asmus Komm, Fernanda Mayol, Neel Gandhi, Sandra Durth, and Dr. Jasmin Kiefer), A new operating model for people management: More personal, more tech, more human (2025) | Volker Jacobs, AI is Reshaping the HR Operating Model: Here's What 15 Leading Companies Discovered (2025) | Volker Jacobs and David Green ??, How AI is Reshaping the HR Operating Model (Digital HR Leaders podcast, 2025) | Tanuj Kapilashrami, Ravin Jesuthasan, CFA, FRSA, and David Green ??, How to Build the Skills-Powered Organisation (Digital HR Leaders podcast, 2024)
What HR Must Become to Deliver These Opportunities
Jacqui Canney and Brandon Roberts, How to make AI work for people: A playbook for HR and business leaders (2025) | Insight222 (Naomi Verghese, Jonathan Ferrar and Jordan Pettman), Building the People Analytics Ecosystem Operating Model 2.0 Report (2024) | Insight222 (Naomi Verghese and Jonathan Ferrar), Upskilling the HR Profession: Building Data Literacy at Scale (2023) | John Golden, Ph.D., Alexis Fink, Steve Hunt, The Future of Work 2025: Why HR Holds the Pen to Rewrite the Playbook (2025) | Tima Bansal and Julian Birkinshaw, Why You Need Systems Thinking Now (2025) | Amy Edmondson and Dr Tomas Chamorro-Premuzic, The Perils of Using AI to Replace Entry-Level Jobs (2025) | Nickle LaMoreaux and David Green ??, How IBM Uses AI to Transform Their HR Strategies (Digital HR Leaders podcast, 2024), Thomas Otter and David Green ?? - AI in HR Tech: What Investors and Leaders Need to Know (Digital HR Leaders podcast, 2025)
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 120 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 speak regularly at in-person and virtual events about people analytics, the future of work, and data driven HR. Below are the events I'm speaking at up to the end of May 2026:
February 25-26, People Analytics World, Zurich
March 17-19, Unleash America, Las Vegas
April 20-21, People Analytics World, London
May 18, Building Data Literacy in HR - Executive Masterclass, Warsaw
More events will be added as soon as they are confirmed.
THANK YOU
As the year draws to its close, I'd also like to thank a host of people: conference organisers that invited me to speak at their events in 2025, Digital HR Leaders podcast guests and sponsors and those that regularly share and comment on my content here. This is certainly not an exhaustive list but thank you to: Marc Coleman Jeremy Roden Barry Swales Louis Gordon Andreas De Neve ? Julius Schelstraete ? Tanya Arrowsmith Ben Harris Philip Arkcoll Parker Mitchell David Wilkins Julie Asselin Pushkaraj Bidwai Lewis Garrad Nick Lynn Anna A. Tavis, PhD Jeremy Shapiro Stela Lupushor Richard Rosenow Amit Mohindra Dan Riley Pietro Mazzoleni Dr Philip Gibbs Håvard Berntzen Even Bolstad Anne-Marie Andric Malgorzata SZARZEC Hung Lee Lucy Adams Maya Lane Deborah M. Weiss Matthew Bidwell Laura Zarrow Jennifer Neumann Ankita Jha Martha Curioni Sanja Licina, Ph.D. Serena H. Huang, Ph.D. Irada Sadykhova Irina Villacreces, M.S., SPHR, PMP Adam McKinnon, PhD. Hanadi El Sayyed Greg Newman David van Lochem Chin Yin Ong Swechha Mohapatra (IHRP-SP, SHRM-SCP, CIPD) Siobhan Savage ?? Dave Fineman Ben Zweig Jeff Schwartz Fatma Hedeya Meg Bear Dominic Boon Philippa Penfold FCIPD Narelle Burke Geetanjali Gamel Jonathon Frampton Dan Lapporte Shujaat Ahmad Blaine Ames Chris Long Rob Baker, FCIPD, MAPP Perry Timms Alicia Roach Catherine de la Poer Jeff Wellstead Paola Alfaro Alpízar Marta Gascón Corella Sergio Garcia Mora Sebastian Knepper Sebastian Kolberg Timo Tischer Bob Pulver Seth Hollander, MBA Melissa Arronte Victoria Holdsworth Alexandra Nawrat Nima Sherpa Green Gianni Giacomelli Phil Kirschner Roxanne Bisby Davis Amelia Irion Ekta Lall Mittal Arne-Christian Van Der Tang Stacia Garr Priyanka Mehrotra Laurent Reich Paul Rubenstein Dirk Jonker Jacob Nielsen Patrick Coolen Jaap Veldkamp Anish Lalchandani Michael Arena Greg Pryor David McLean Kate Bravery Brian Heger Anita Lettink Alan Susi Gal Mozes, PhD Prasad Setty Henrik Håkansson Dr. Tobias Bartholomé Colin Fisher Jenny Dearborn, MBA Toby Hough Jodie Evans Katarina Coppé Jurgen Hofstede Don Dela Paz Andrés García Ayala Angela LE MATHON Oliver Kasper Daisuke Ikegami Elson P. Kuriakose Phil Inskip Sophia Huang, Ed.D. Søren Kold Asaf Jackoby Joonghak Lee John Gunawan Josh Tarr Phil Willburn Ying Li Prabhakar Pandey Delia Majarín Tina Peeters, PhD Agnes Garaba Nico Orie Kouros Behzad Andrew Pitts Kristin Saboe, Ph.D. Nicole Lettich Al Adamsen Maria Alice Jovinski Miriam Daucher Chris Hare Avani Solanki Prabhakar Alex Browne Jaejin Lee Kevin Oakes Todd Raphael Ian OKeefe Amanda Nolen Kevin Le Vaillant
HR operating model
2025年12月22日
HR operating model
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.
If you enjoy a weekly dose of curated learning (and the Digital HR Leaders podcast), the Insight222 newsletter: Digital HR Leaders newsletter is usually published every other Tuesday – subscribe here – and read the latest edition.
HYBRID, GENERATIVE AI AND THE FUTURE OF WORK
BCG - AI at Work: Momentum Builds, but Gaps Remain | JOHN BRAZIER AND NICK SOUTH - BCG’s AI at Work 2025 report: Four takeaways for HR leaders
Companies are realizing that merely introducing AI tools into existing ways of working isn’t enough to unlock their full potential. The real magic happens—and value generated —when businesses go further and reshape their workflows end-to-end.
BCG’s annual AI at work global survey of employees is packed full of insights and guidance for business and HR leaders looking to maximise value, adoption and employee experience with AI. The key takeaways include: (1) AI is now part of our daily work lives: 72% of respondents are regular AI users (although adoption amongst frontline employees has stalled at 51%). (2) Investment in training, leadership support and access to the right tools can break this ceiling: Yet only 36% of employees are satisfied with their AI training. (3) The Global South is showing higher adoption of AI. India leads the pack with 92% of regular users compared to the US (64%), UK (68%) and Japan (51%). (4) The next frontier: from adoption to value with end-to-end redesign. One-half of respondents say their company is starting to reshape processes. These companies also invest more in their people – and it pays off (see FIG 1). (5) AI agents are not widely deployed. Only 13% see agents integrated into broader workflows (see FIG 2). Kudos to the authors: Vinciane Beauchene, Sylvain Duranton, Nipun Kalra, and David Martin. For HR leaders, I also recommend reading John Brazier’s interview with BCG’s Nick South about the implications of the report’s findings for HR on the UNLEASH blog.
FIG 1: The relationship between workflow redesign due to AI and investment in people (Source: BCG)
FIG 2: Use of AI agents (Source: BCG)
GABBY BURLACU AND KELLY MONAHAN - From Tools to Teammates: Navigating the New Human-AI Relationship
Full time employees getting the most done with AI are also the most burned out, disengaged, and disconnected from their teams.
In their study for the Upwork Research Institute, Gabriela (Gabby) Burlacu and Kelly Monahan, Ph.D. identify a crucial message for the future of work: while AI is undeniably boosting productivity – with a reported 40% jump for many workers – it's also creating a human paradox. Alarmingly, top AI performers are experiencing high burnout (88%) and are twice as likely to leave, often feeling disconnected from strategy and even trusting AI more than human colleagues (see FIG 3 and 4). The report offers three urgent calls to action for business leaders: (1) Redesign work for human-centered, AI-empowered talent and workflows, prioritising autonomy, trust and psychological safety. (2) Cultivate flexible and resilient talent ecosystems, combining full-time employees, freelancers, and AI capabilities to create agile, resilient, and high-performing teams. (3) Redefine AI strategies to focus on the end-to-end human experience, including new roles, norms, and governance. For HR leaders, these findings are a wake-up call. We must prioritise the relational side of AI, ensuring human connection, well-being, and purpose are augmented, not eroded. It's about preventing burnout in our most productive AI users, fostering alignment, and learning from agile models like freelancers to build a truly sustainable human-AI collaborative future.
FIG 3: The human cost of AI productivity (Source: The Upwork Research Institute)
FIG 4: The rise of human-like relationships with AI (Source: The Upwork Research Institute)
COBUS GREYLING - Do AI Agents Substitute Human Workers — Or Enable Humans To Succeed In New Ways? | L. ELISA CELIS, LINGXIAO HUANG, AND NISHEETH K. VISHNOI - A Mathematical Framework for AI-Human Integration in Work
AI Agents are good at tasks not jobs…
In his article, Cobus Greyling provides an insightful and accessible analysis of a new study by Elisa Celis, Lingxiao Huang, and Nisheeth Vishnoi, which presents a mathematical framework that models jobs, workers, and worker-job fit, and introduces a novel decomposition of skills into decision-level and action-level subskills to reflect the complementary strengths of humans and GenAI. Greyling’s incisive analysis offers a helpful perspective for HR leaders navigating the future of work. His core message is clear: AI agents are fantastic at tasks, not entire jobs. They're not just substitutes, but powerful amplifiers of human capability, especially for less experienced workers, effectively compressing productivity gaps and fostering extraordinary collaboration. Here are four key learnings for HR: (1) Agentic AI Augments Human Potential: AI agents boost efficiency and performance, particularly for junior talent, by handling structured tasks and freeing humans for higher-order work. (2) Redefine Skills & Development: While AI takes on the mundane, HR must strategically ensure continuous skill development, focusing on uniquely human capabilities like judgment, creativity, and complex problem-solving. (3) Design for Human-AI Synergy: Organisational design must pivot to foster premium collaborations between humans and AI. It's about combining complementary strengths to achieve outcomes greater than the sum of the parts. (4) HR Leads Strategic Integration: Our role in HR is pivotal. We must orchestrate the strategic integration of agentic AI, balancing its efficiency gains with the imperative to preserve and nurture human ingenuity, driving both innovation and connection.
FIG 5: Al for work: skill difficulty continuum (Source: Cobus Greyling)
PEOPLE ANALYTICS
KETAKI SODHI AND COLE NAPPER - Who Needs a “Human in the Loop” When AI Gives Itself Feedback
Ketaki Sodhi, PhD, Program Owner for Agentic Listening and Analytics at Microsoft, and Cole Napper provide a fascinating perspective on the "human in the loop" concept for Generative AI, provocatively asking: which human, and how? This isn't just a technical question; it's where I/O Psychology and People Analytics come into their own. The article frames AI "evals"— the systems for assessing whether AI outputs are useful, accurate or aligned —as essentially performance management for Large Language Models. Just as we've wrestled with defining "good" in complex human knowledge work for decades, we now face the same challenge in building AI systems. In a world of infinite " " answers, AI evals demand the same nuance we apply to human systems: competency models, multi-rater input, calibration, and context. One of the key takeaways from Ketaki and Cole is that true success lies not in chasing perfect answers from AI, but in designing smart, human-informed systems. These are the systems that can discern between good, better, and what genuinely drives impact for your organisation. For people analytics leaders and I/O psychologists, this is a clarion call to leverage their deep expertise in human performance to shape the very fabric of our AI-driven future.
FIG 6: Source – Ketaki Sodhi
BEN BERRY - The future is built by everyone: What is Vibe Coding and why should People Analytics teams adopt it | ROSARIO GERMINO - From People Analytics to People Economics and Impact | ADRIAN PEREZ – GitLab People Analytics Team Handbook | DOMINIK TOMICEVIC - Can NASA’s People Graph and LLMs Revolutionize Workforce Planning? | MORGAN DEPENBUSCH - How to let color do the storytelling
In each edition of the Data Driven HR Monthly, I feature a collection of articles by current and recent people analytics leaders. These are intended to act as a spur and inspiration to the field. Five are highlighted in this month’s edition: (1) In a particularly insightful piece, Ben Berry examines whether vibe coding, a product management practice of using AI tools to rapidly build functional prototypes to help turn rough ideas into working concepts, should be adopted in people analytics. (2) In her thoughtful article, Rosario Germino argues that to elevate people decisions to the same level of strategic investment as product or finance, we need a new way of thinking—and a new kind of function – People Economics and Impact, which she then breaks down into the why (see FIG 7 on the multi-dimensional aspect of informed decision making), what and how. (3) In a recent post, Adrian M. Pérez provides open source access to GitHub’s People Analytics Team Handbook, a rich resources covering areas such as (i) data governance framework, (ii) tools and methodologies, (iii) survey administration, and (iv) Tableau dashboard strategies. (4) Dominik Tomicevic provides a compelling account of how NASA’s People Graph is supporting a range of priorities from upskilling to workforce planning – with insights from the NASA team of David Meza, Madison Ostermann and Katharine Knott, MBA: “Knowledge graphs offer flexibility, since you don’t need a full schema upfront. We began with known relationships and expanded as we uncovered more insights in the data.” (5) In an edition of her excellent Trending Up newsletter, Morgan Depenbusch, PhD offers some compelling guidance on the use of colour in data visualisation and storytelling.
FIG 7: Informed decisions are multi-dimensional. Financial logic makes them investable (Source: Rosario Germino)
THE EVOLUTION OF HR, LEARNING, AND DATA DRIVEN CULTURE
MCKINSEY - HR Monitor 2025
The gap is widening between what is needed from an efficient, effective HR function and what most organizations currently offer
McKinsey's HR Monitor 2025 benchmark study of workforce and HR trends across Europe, delivers a sharp analysis of the critical shifts shaping the HR profession, emphasising that the next 12-24 months are decisive for the function. The report identifies five key trends: (1) Workforce planning is not approached strategically enough – see FIG 8 - (“…with rapid changes driven by gen AI and shifting skill needs, workforce planning must move beyond short-term staffing forecasts to include a longer-term view and future-scenario planning”). (2) Talent acquisition is becoming more complex: with only 56% offer acceptance rates, 18% of new hires leaving during their probationary period and the overall hiring success rate in Europe standing at a lowly 46%, a more strategic and coordinated approach to attracting and hiring talent is required. (3) Employee development continues to be highly fragmented (“To prepare the workforce for future challenges, organizations must connect performance management, learning and development, and talent development in one cohesive strategy”). (4) Employee experience is essential—and underdeveloped (“A more tailored, data-driven approach to the employee experience is needed to build motivation and long-term commitment to employers”). (5) Gen AI and shared-services centres could boost efficiency and effectiveness (“HR departments must modernize their operating models by expanding SSC adoption and using automation and gen AI to increase speed, scalability, and strategic impact”). For Chief People Officers, the message is clear: You must align HR strategy directly with business priorities, strengthen your HR operating model, and aggressively build digital and AI skills within HR. This is about laying the foundation for a modern, AI-enabled HR function that is both deeply people-centric and laser-focused on organizational performance. Kudos to the authors: Julian Kirchherr, Vincent Bérubé, Charlotte Seiler, Dr. Kira Alexandra Rupietta, Kristina Stoerk, Nina-Marlene Senst, and Simon Gallot Lavallée.
...with rapid changes driven by gen AI and shifting skill needs, workforce planning must move beyond short-term staffing forecasts to include a longer-term view and future-scenario planning
FIG 8: Engagement in workforce planning (Source: McKinsey)
FIG 9: Predicted impact of gen AI on HR department (Source: McKinsey)
ESER RIZAOGLU AND STEPHANIE CLEMENT - How CHROs Can Prepare Their Function and the Enterprise for AI Transformation
CHROs play a key role in safely using AI at scale to deliver business outcomes.
Recent research by Eser Rizaoglu and Stephanie Clement for Gartner provides a helpful roadmap for CHROs steering their organisations through AI transformation, by focusing on HR's pivotal role in shaping the future of work. The report highlights three key actions for CHROs to enable their organisation's AI approach: (1) Assist in delivering business outcomes using AI: Leverage GenAI for HR productivity first, then expand to drive enterprise-wide improvements with a broader AI portfolio. (2) Manage behavioural outcomes of AI: Cultivate a culture of innovation, build human-centred change management plans, and introduce new HR roles to foster human-machine partnerships. (3) Enable workforce readiness for AI: Implement AI literacy programs for all (see FIG 10), while targeting upskilling efforts on segments most impacted, building empathy, and tracking readiness indicators. For CHROs in Steady-AI-Pace organisations, the focus is on foundational AI literacy and policy. Those at an Accelerated-AI-Pace must deepen this by targeting high-impact workforce segments and deploying AI champions to drive effective, human-centric change.
FIG 10: AI Literacy Program Roadmap (Source: Gartner)
DAVE ULRICH - Navigating Eight Paradoxes of AI for HR
When algorithms combine with human empathy, judgement, and creativity, sustained progress occurs.
In his article, Dave Ulrich highlights eight paradoxes on the AI for HR agenda that he believes business and HR leaders need to navigate to move up the s-curve and waves of HR impact (see FIG 11) to deliver more value. As Dave explains: “Navigating (not just managing) paradox means highlighting and working through opposing ideas—each of which is valid—that combine to create more value.” The eight paradoxes identified in the article are: (1) AI and AI: Artificial Intelligence * Authentic Intimacy. (2) Remove jobs and redefine work. (3) Bottom line efficiency and top line growth. (4) Distribute and concentrate power. (5) Lower and increase risk. (6) Expand perspective and reduce cognition. (7) Provide answers and explore questions. (8) Isolate and connect.
FIG 11: Five stages of AI for HR evolution (Source: Dave Ulrich)
EMPLOYEE LISTENING, EMPLOYEE EXPERIENCE, AND EMPLOYEE WELLBEING
JARED WEINTRAUB - A day in the life of a GenAI-enabled workforce
Deloitte forecasts that 25 percent of companies currently using GenAI will launch agentic pilots this year, rising to 50 percent by 2027
Jared Weintraub, PhD, SPHR's article for Deloitte paints a tantalising picture of a 'Gen-AI enabled workforce,' showcasing how AI agents are already transforming our daily work. Through a fictional Fortune500 company, Jared brings to life three key personas: (1) New Hire (Riley): Experiences personalised onboarding, with AI agents helping her navigate culture and quickly excel in her role. (2) VP (Taylor): Sees optimised leadership workflows, receiving instant summaries, personalised action items, and even real-time feedback on calls. (3) CEO (Angelina): Gains powerful support for strategic decision-making, with AI agents providing real-time insights and even coaching for high-stakes events like public town halls. These examples demonstrate AI's profound potential not to replace workers, but to fundamentally enhance human potential, leading to a significantly improved employee experience where individuals, teams, and organisations can thrive and perform at their absolute best. Thanks to Brian Heger for highlighting in his excellent Talent Edge Weekly.
WORKFORCE PLANNING, ORG DESIGN, AND SKILLS-BASED ORGANISATIONS
SCOTT REIDA AND KRISTIN SABOE - Applying the Rule of 72 to Workforce Skill Obsolescence and Productivity Degradation
Amazon's Scott Reida and Google's Kristin Saboe, Ph.D. introduce a powerful financial concept to HR: the "Rule of 72." Traditionally, it's a shortcut to estimate how long an investment takes to double, by dividing 72 by its annual growth rate. They ingeniously flip this, applying it to skill evolution: by dividing 72 by a role's weighted average 3-year Compound Annual Growth Rate (CAGR) of its skills, one estimates the "years to obsolescence" if no upskilling occurs. This provides critical directional clarity on how fast job competencies are shifting. Their framework, illustrated in FIG 12, categorises skills into four key zones: (1) Emerging (low adoption, high growth, representing the cutting edge). (2) Table Stakes (widely adopted, foundational must-haves with steady growth). (3) On the Cusp (moderate adoption, sustained expansion, offering long-term value). (4) Sunset (declining demand, requiring intentional upskilling). This enables smarter workforce planning. HR can now target training budgets where skill erosion is rapid, shifting from reactive to proactive strategies. It transforms talent into a dynamic portfolio , informing sharper hiring and career development in our accelerating world.
FIG 12: Categorising skills into four key zones (Source – Scott Reida and Kristin Saboe)
McKINSEY - The new rules for getting your operating model redesign right
When people feel invested in and supported, they are more likely to embrace change, contribute meaningfully, and sustain the behaviors that drive long-term impact.
New research from McKinsey updating their nine golden rules for operating model redesign, which finds that five original (evergreen) rules have stood the test of time while four new (evolved) rules have emerged (see FIG 13). The study identifies a key finding: redesign success jumps from 59 percent when using all nine original rules to 97 percent when using all nine in the refreshed set. The article also presents four broad redesign themes for leaders to focus on: (1) Create alignment among leaders and decision-makers, grounded in strategy. (2) Invest deeply in rewiring workflows. (3) Make significant investments in people. (4) Create a performance-oriented culture for durable impact. For Chief People Officers, the key takeaway is that they need to become the architects of dynamic, human-centric operating models. Their focus shifts from traditional talent management to proactively designing how work gets done, emphasising skills and capabilities over static roles. CPOs should also lead on ethical AI integration, foster a culture of continuous learning, and empower leaders. This creates a workforce built for perpetual reinvention, driving sustained value in an increasingly uncertain world. Kudos to the authors: Brooke Weddle, J.R. Maxwell, Tristan Allen, Deepak Mahadevan, Elizabeth Mygatt, and Olli Salo.
FIG 13: The refreshed golden rules of organisational redesign (Source: McKinsey)
LEADERSHIP, CULTURE, AND LEARNING
JEFF WETZLER - The Right Way to Prepare for a High-Stakes Conversation
Curiosity increases your ability to process new information and respond creatively to complex problems. It activates the brain’s learning and reward centers, increasing your capacity for insight and creative problem-solving.
In his recent HBR article, Jeff Wetzler introduces a helpful concept for leaders: The Curiosity Check (see FIG 14). This diagnostic is designed to fundamentally shift your mindset from defensive certainty to productive curiosity, and so improve your effectiveness in high-stakes discussions and boost your influence. It’s all about unlocking crucial, often hidden, insights. Wetzler outlines three actionable steps: (1) Choose Curiosity Over Certainty: Actively ask yourself "What am I missing?" challenging your assumptions. (2) Make It Safe to Speak Up: Create an environment where people feel secure sharing their true thoughts, proving safety through action, not just words. (3) Pose Quality Questions: Shift from shallow or leading questions to open-ended, neutral, and deeper inquiries that encourage genuine reflection. Wetzler brings this to life with examples, highlighting how leaders often miss critical information when they assume team alignment, never probing for the "unspoken thoughts" that hold the real insights. This approach empowers you to tap into wisdom you might otherwise completely overlook. Thanks to Amy Edmondson for highlighting.
FIG 14: The Curiosity Curve (Source: Jeff Wetzler)
MCKINSEY RESEARCH AND INNOVATION LEARNING LAB – Reimagined: Development for the Future of Work – Evolving Trends in L&D Article | Full report
Leaders must prepare for a future defined by radical candor regarding the impacts of AI on work and the workforce.
The 2025 McKinsey Learning Perspective spotlights three interconnected themes crucial for people development in a rapidly changing world: (1) Fluid Development Ecosystems: Organisations must design work to be inherently developmental, shifting from rigid structures to dynamic, data-driven ecosystems. This means de-siloing HR functions and embedding learning into daily work, making growth continuous and seamless. The goal is to make daily challenges catalysts for growth, supported by real-time data and foresight. (2) Responsible AI Adoption: This defining moment demands leaders preserve employee trust by showing AI will help them thrive, not just automate work. It's about fostering powerful human-AI collaboration, offloading repetitive tasks to AI to unlock human creativity and higher-order skills. Responsible adoption hinges on equipping employees with uniquely human capabilities like critical thinking and judgment. (3) Resilient and Adaptable Individuals and Organisations: Thriving organisations anticipate challenges, adapt, and grow, building structural and cultural foundations for resilience. This involves unlocking the potential of diverse, multigenerational workforces, supporting recuperation to prevent burnout, and enabling organisational resilience through sustainable workflows. It means seeing resilience as a shared, cultivated capability, not just an individual trait. Read the article by Heather Stefanski, Benjamin Hall, Jake Gittleson, and Jessica Glazer, and then dive into the full report, which also includes contributions from the likes of Sandra Durth.
DIVERSITY, EQUITY, INCLUSION AND BELONGING
ROBERT D. AUSTIN, NEIL BARNETT, CHLOE R. CAMERON, HIREN SHUKLA, THORKIL SONNE, AND JOSE VELASCO - How Neuroinclusion Builds Organizational Capabilities
Leaders should consider neuro-inclusion as a strategic capability-building opportunity rather than a diversity initiative
In a rapidly evolving world, neuro-inclusion is emerging as a critical organisational capability, as highlighted by Robert Austin, Neil Barnett, Chloe Cameron, Hiren Shukla, Thorkil Sonne, and Jose Velasco in the MIT Sloan Management Review. This isn't merely a diversity initiative; it's a strategic imperative that unlocks competitive advantage by leveraging the rich, natural variation in human cognition. By intentionally designing processes for neurodistinct individuals, organisations can profoundly improve: (1) Hiring, by tapping into overlooked talent pools with unique skills (as seen with SAP attracting highly credentialed candidates often missed by traditional interviews); (2) Innovation, through diverse perspectives that spark novel solutions (Microsoft's Teams ‘Blur’ feature emerged from a neurodistinct engineer's insights); and ultimately, (3) Culture, by fostering a more adaptive and truly inclusive environment for everyone. As the article reveals, EY, Microsoft, and SAP are prime examples of organisations already reaping these benefits, demonstrating that embracing neurodiversity enhances collective intelligence and drives superior business outcomes.
FRANK DOBBIN AND ALEXANDRA KALEV - Achieve DEI Goals Without DEI Programs
Many management innovations designed to improve performance actually boost workforce diversity as well, without inviting the backlash of formal DEI programs.
Frank Dobbin and Alexandra Kalev, in their recent HBR article, challenge the traditional view of DEI. They argue that as formal DEI programs face headwinds, HR leaders can still drive significant diversity, equity, and inclusion by focusing on high-performance management techniques that naturally foster inclusion and improve business outcomes, all without the ‘DEI program’ label. They highlight five powerful techniques and provide examples of how these have been implemented by companies: (1) Referral programs: Companies like Oracle use these effectively, often boosting representation organically. (2) Skills upgrading: Walmart exemplifies this, investing in employee upskilling that broadens opportunities for diverse talent (see FIG 15). (3) Mentoring programs: IBM has long leveraged robust mentoring to support career progression across all groups. (4) Scheduling flexibility and stability: Gap demonstrates how providing predictable yet flexible schedules empowers diverse workforces. (5) Performance-based retention: Amazon uses data-driven approaches to identify and retain top performers, inherently benefiting those who excel regardless of background (also see FIG 15). This approach embeds DEI within the fabric of how we manage and develop our people, making it an undeniable component of business success. It’s about doing good by doing well.
FIG 15: Walmart and Amazon’s changing workforces (Source: Dobbin and Kalev)
HR TECH VOICES
Much of the innovation in the field continues to be driven by the vendor and analyst community, and I’ve picked out a few resources from July that I recommend readers delve into:
LISA K. SIMON - How Much Is a Skill Worth?
In her article, Lisa K. Simon, Chief Economist at Revelio Labs, presents the findings of a new paper, she co-authored with David Dorn, Ludger Woessmann, Moritz Seebacher and Florian Schoner, which finds that the number and type of skills workers report are strong predictors of how much they earn: “In fact, differences in skills predict earnings better than differences in education or past experience. Workers who list more skills tend to be in better-paid jobs. On average, each additional skill listed on a resume is associated with 0.67 percentage points higher earnings.” Another finding is that not all skills are valued equally, with occupation-specific and managerial skills providing the largest boost to income, while a higher prevalence of general skills is associated with lower earnings (see FIG 16). Thanks to Seth Hollander, MBA for highlighting the article and paper.
Workers who list more skills tend to be in better-paid jobs. On average, each additional skill listed on a resume is associated with 0.67 percentage points higher earnings.
FIG 16: Only having general skills on a resume is associated with lower earnings (Source: Revelio Labs)
WARDEN AI - State of AI Bias in Talent Acquisition
This is an excellent new report from Jeffrey Pole and the team at Warden AI, which provides a comprehensive and data-driven review of AI bias, compliance and responsible AI practices in talent acquisition – the area of HR, which perhaps has the most significant adoption of AI. With a foreword by Kyle Lagunas, and contributions from the likes of Hung Lee (see quote below) and Sarah Smart, Sultan Murad Saidov and Trent Cotton, key findings include: (1) 75% of HR leaders say bias is a top concern when adopting AI. (2) 15% of AI systems fail to meet fairness metrics for one or more demographic group. (3) AI scores 0.94 vs 0.67 for humans, outperforming on average across fairness metrics (see FIG 17). (4) AI is up to 45% more fair than humans for women and racial minority candidates. Congrats too to Jeff and the team for raising $1.6m in a recent funding round.
We are right to worry about AI bias, but we should not forget that the baseline, human only judgment, is far from bias-free - Hung Lee
FIG 17: AI outperforms humans across fairness metrics (Source - Warden AI, State of AI Bias in Talent Acquisition)
COLE NAPPER - From HR Skills…to HR Jobs
When new trends emerge at work, they are likely to first appear as skills. As skills evolve, they consolidate into job titles and full occupations.
The prolific Cole Napper highlights Lightcast data to paint a compelling analysis on the journey of people analytics, workforce planning and talent intelligence from trends to skills to jobs: “When new trends emerge at work, they are likely to first appear as skills. As skills evolve, they consolidate into job titles and full occupations.” In the article, Cole presents data visualisations and analysis on how job postings mentioning each of the three skills fluctuated over time, how this translated into job titles, and the wage premium (see FIG 18) that these three categories have on HR salaries in general (on the theme of people strategy and analytics salaries, read this post by Pallavi Narang) Look out for Cole’s book, People Analytics: Using data-driven HR and Gen AI as a business asset, which is available for pre-order now ahead of being published on August 26.
FIG 18: Median salaries in HR areas (Source: Lightcast)
PODCASTS OF THE MONTH
In another month of high-quality podcasts, I’ve selected four gems for your aural pleasure: (you can also check out the latest episodes of the Digital HR Leaders Podcast – see ‘From My Desk’ below):
PETER FASOLO - Leading with impact as a chief human resources officer – In this must-listen episode of Capital H, Peter Fasolo, Ph.D., former chief human resources officer at Johnson & Johnson, joins host Kyle Forrest to discuss the power of systems thinking, board collaboration, aligning your people agenda with enterprise strategy, and more.
ANGELA LE MATHON - AI-Native HR Operating Model & AI Agents for Skills/Tasks – The brilliant Angela LE MATHON joins Cole Napper to discuss how AI is transforming the work that people analytics does and how the function operates as well as envisioning a new AI-native operating model for HR.
SVENJA GUDELL, BROOKE WEDDLE, AND BRYAN HANCOCK - What the labor market isn’t telling you—yet – Svenja Gudell, chief economist at Indeed, joins Brooke Weddle, Bryan Hancock, and host Lucia Rahilly, on an episode of McKinsey Talks Talent to help leaders make sense of the current collision of labour market trends: generative AI, agentic AI, an aging workforce, shifting priorities, and more.
BEN WEIN – How Bristol-Myers Squibb used skills data to solve a life-or-death talent shortage – Ben Wein, Director of Workforce Skills Enablement at Bristol Myers Squibb, joins Julius Schelstraete ? on The TechWolf Podcast to share how BMS is becoming a skills-based organisation—starting with a business-critical talent shortage in cell therapy manufacturing. Ben explains how BMS uses skills data to drive faster hiring, smarter workforce planning, and ultimately, patient impact.
VIDEO OF THE MONTH
DJ PATIL - Data, Decisions, and the Future of Work: How AI and Curiosity Are Redefining Careers
Many of the videos of the talks at the recent Wharton People Analytics Conference are now available on the Wharton School YouTube channel, including my talk on How Top Companies Scale People Analytics Adoption. There are some wonderful talks from the likes of Amy Edmondson, Ravin Jesuthasan, CFA, FRSA, Ben Waber, Karalee Close, Guru Sethupathy and Michael Fraccaro, but perhaps my favourite session of the two days was former US Chief Data Scientist DJ Patil’s fireside chat with Eric Bradlow on how firms can harness data science to navigate the future of work. They explore the evolving relationship between AI and human collaboration, the promises and pitfalls of algorithmic management, and how leaders can build ethical, resilient, and high-performing organizations in an increasingly data-driven world.
BOOKS OF THE MONTH
Given it’s the summer in Europe and North America, here are two books to read while you are getting some well-earned relaxation time:
PETER HINSSEN – The Uncertainty Principle - Peter Hinssen's The Uncertainty Principle, his fifth book, is a vital read for HR leaders. It argues we're in a "Never Normal" world, where constant change is inevitable. Hinssen transforms uncertainty from a threat to an opportunity, urging us to move faster and think bigger. For HR, this means embracing ambiguity, leading cultural shifts, leveraging people data, and redefining talent and leadership for relentless evolution. It's about equipping our people to thrive and transform every challenge into a strategic advantage. For a preview of the book, I recommend Peter’s recent discussion with me on the Digital HR Leaders podcast: Uncertainty as an Opportunity: HR's role in Shaping the Future.
JENNY DEARBORN AND KELLY RIDER - The Insight-Driven Leader: How High-Performing Companies are Using Analytics to Unlock Business Value - Jenny Dearborn, MBA and Kelly Rider's The Insight-Driven Leader is an inspirational guide to unlocking serious business value through people analytics. This book shows how to transform raw data into powerful workforce insights, solving critical challenges and driving success. You'll learn: (1) How to move beyond traditional rear-view HR metrics to actionable insights. (2) Real-life case studies from leading organisations, as well as cautionary tales. (3) Recommendations for becoming an insights-driven organization using workforce analytics. The book is a must-read for leaders aiming to align data with strategy and build a truly insight-driven culture.
FROM MY DESK
July saw four new episodes of the Digital HR Leaders podcast – all sponsored by our friends at Mercer (thanks IŞIL ÇAYIRLI KETENCI):
ANSHUL SHEOPURI - How People Analytics is Powering Business Strategy - Anshul Sheopuri, Executive Vice President of People Operations & Insights at Mastercard, joins me for a conversation on how to embed analytics into enterprise-wide decision-making at scale. Thanks to Sasha Houlihan for organising.
PETER HINSSEN - Uncertainty as an Opportunity: HR's role in Shaping the Future – As highlighted in the Books of the Month above, Peter Hinssen joined me to discuss what it really takes for HR to embrace uncertainty and lead in this era of the ‘Never Normal.’
RAVIN JESUTHASAN AND BRIAN FISHER - The Skills Revolution: Your Playbook for Workforce Agility – Ravin Jesuthasan, CFA, FRSA and Brian Fisher join me to explore why skills-based workforce planning has surged to the top of the HR agenda - and what leading companies are doing to turn intent into action.
AMY BAXENDALE - How Arcadis Built a Skills-Powered Organisation – Amy Baxendale , Global Future of Workforce Director at Arcadis, provides a detailed guide on the journey the company has embarked to become a skills-powered organisation. The episode includes discussion on the business case, securing sponsorship, setting up governance, the partnership with Mercer and Eightfold, and the early benefits:
We are early in the journey, but we are seeing some promising signs of progress. Our time to hire is trending downwards - that has a direct commercial impact for the business. We've also actually been able to calculate the financial impact of work that's being completed through gigs and show the actual impact on EBITDA
LOOKING FOR A NEW ROLE IN PEOPLE ANALYTICS OR HR TECH?
I’d like to highlight once again the wonderful resource created by Richard Rosenow and the One Model team of open roles in people analytics and HR technology, which now numbers over 525 roles with half of these being new.
THANK YOU
To HR magazine and Charissa King for including me again in their annual HR Most Influential list as one of the ten most influential practitioners
The Talent Games for including the Digital HR Leaders podcast at #6 in its 27 Best Leadership Podcasts for HR Leaders.
Steve Sands for including my work as part of his Human Resource Management Analytics night class at the National College of Ireland.
A huge thank you to the following people who either shared the June edition of Data Driven HR Monthly and/or posted about the Digital HR Leaders podcast, conferences or other content. It's much appreciated: Emmanuel Duncan, Rob Baker, FCIPD, MAPP, Richard Hall, Robert Rogowski, Catherine de la Poer, Caroline Lambe, Jeremy Sholl, Narelle Burke, Edan Halili, Francesca Caroleo (SHRM-SCP, ICF-ACC), Uwe Gohr, Joseph Frank, PhD CCP GWCCM, Randeep Kaur, Aaron Chasan, Danial Singh Kang, Jorge-Luis Gonzalez, Anisha Moosaأنيشا موسى?????, Carlos Lopes, Danielle Farrell, MA, CSM, Kris Saling, Hiroyuki MIYAI, Ph.D., Yukiko Hosomi, Dr. Christoph Spöck, Joachim Rotzinger, Kevin Le Vaillant, Seung Won Yoon, Alexis Fink, Timo Tischer, Dr. Tobias Bartholomé, Jose Luis Chavez Vasquez, Meg Bear, Abhinav Tiwari, Esther Abraas, Gareth Flynn, Elizabeth Musso, Jana Glogowski, Maarten van Beek, K Nair, Joonghak Lee, Sameer Tahir, Robert Allen, Volker Jacobs, Bilal Laouah, Florent Maire, Oliver Kasper, Jaap Veldkamp, Patrick Coolen, Jeff Wellstead, Jean-Francois (Jeff) BOUBANGA MIGOLET, Dan George, Shujaat Ahmad, Alexandra Nawrat, People Edge Consulting Ltd., Andrew Spence, Roshaunda Green, MBA, CDSP, Phenom Certified Recruiter ?, Austin Brockert, MBA, Dan Riley, Sanja Licina, Ph.D., Anna A. Tavis, PhD, Stela Lupushor, Jeremy Shapiro, David Simmonds FCIPD, Catriona Lindsay, Aravind Warrier, Michael Arena, Greg Pryor, Isabella Cheshire, Amardeep Singh, MBA, Aline Costa, Anis Alexandros El Namparaoui, Adam Treitler, Helder Figueiredo, Sebastian Knepper, Sebastian Kolberg, Lewis Garrad, Kerry Ghize, Preetha Ghatak Mukharjee, Jacob Nielsen, Pete Jaworski, Søren Kold, Prabhakar Pandey, Avani Solanki Prabhakar, Ian Grant FCIPD, Erik Samdahl, Max Blumberg, Sergey Puchka, Romy Hobson, Bettina Dietsche, Hernan Chiosso, CSPO, SPHR ?, Paola Alfaro Alpízar, Sergio Garcia Mora, Hanadi El Sayyed, David van Lochem, Maria Nolazco Masson, David McLean, Clara W Estanqueiro, Shonna Waters, PhD, Kevin Martin, Kathi Enderes, Serena H. Huang, Ph.D., Smadar Tadmor, Tobias W. Goers ツ, Dr. Denise Turley AI.Impact.Equity, Stella Ioannidou, Apeksha Awaji, Evan Franz, MBA, L N Divya Mudundi, Ross Sparkman, Salman Farooq, Megan Reitz, Todd Tauber, Heather Muir, AJ Herrmann, Priyanka Mehrotra, Oliver Auty, Priya Subrahmanyan, Naotake Momiyama, Bill Banham, Matthew Yerbury, Prachi Agasti, Robin Haag, Fabian Stokes, MBA, SWP, Monika Manova, Barry Swales, Dean Carter, Ian OKeefe, Ying Li, Alexandre Monin, Mike Zarrilli, Natasha Fearon, Pedro Pereira, David Balls (FCIPD), Naomi Verghese, Geetanjali Gamel, Frankie Close, Warren Howlett, Stephanie Murphy, Ph.D., John Gunawan, Jesse Clark, MBA, Caitie Jacobson Mikulis, Meghan M. Biro, Dan Trares, Kouros Behzad, Kathleen Kruse, Nick Lynn, Mariana Allain Carrasqueira, Marina Pearce, PhD, Dawn Klinghoffer, Raquel Mitie Harano, Delia Majarín, Deborah M. Weiss, Courtney McMahon, Nirit Peled-Muntz, Hanne Hoberg, Adam McKinnon, PhD., Don Dela Paz, Matt Elk, Sophia Houziaux, Danielle Bushen, Nabil Dewsi, Sai Bon Timmy Cheung 張世邦, Dolapo (Dolly) Oyenuga Agnes Garaba, Wouter Minten, Olly Britnell, Nick Hudgell, Roxanne Laczo, PhD, Claire Masson, Daisy Grewal, Ph.D., Laura Cole, Brian Elliott, Erin Eatough, PhD Henrik Håkansson Gabe Horwitz Russell Klosk (智能虎)
The final note this month is a sad one - rest in peace Diogo Jota and André Silva.
ABOUT THE AUTHOR
David Green ?? is a globally respected author, speaker, conference chair, and executive consultant on people analytics, data-driven HR and the future of work. As Managing Partner and Executive Director at Insight222, he has overall responsibility for the delivery of the Insight222 People Analytics Program, which supports the advancement of people analytics in over 100 global organisations. Prior to co-founding Insight222, David accumulated over 20 years experience in the human resources and people analytics fields, including as Global Director of People Analytics Solutions at IBM. As such, David has extensive experience in helping organisations increase value, impact and focus from the wise and ethical use of people analytics. David also hosts the Digital HR Leaders Podcast and is an instructor for Insight222's myHRfuture Academy. His book, co-authored with Jonathan Ferrar, Excellence in People Analytics: How to use Workforce Data to Create Business Value was published in the summer of 2021.
MEET ME AT THESE EVENTS
I'll be speaking about people analytics, the future of work, and data driven HR at a number of upcoming events in 2025:
July 31 - August 1 - People Matters TechHR India 2025, Delhi
August 13-16 - GCHRA Africa, Accra, Ghana (I will join virtually)
September 25 - Visier Outsmart Local London, London
October 7-9 - Insight222 Global Executive Retreat, Atlanta (exclusive to the people analytics leader in member companies of the Insight222 People Analytics Program®)
October 15-16 - People Analytics World, New York
October 21-22 - UNLEASH World, Paris
November 12-13 - HR Forum 2025, Oslo
More events will be added as they are confirmed.
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