35 Leading Experts on Leadership in Automation

Introduction

Most organisations approach automation as a technology problem. They invest in software, run proofs of concept, hire data scientists, and then wonder why nothing changes. The tools land. The people do not move. The culture stays exactly where it was. What they have is not an automation problem; it is a leadership problem dressed up as a technology problem, and the difference matters enormously.

The World Economic Forum's Future of Jobs Report 2025 projects that AI and automation will displace approximately 92 million existing roles while creating around 170 million new ones globally by 2030. That net gain of 78 million jobs sounds encouraging until you consider that the transition between displaced and created roles is not automatic. It requires leaders who can hold teams through ambiguity, redesign work without eliminating meaning, and build cultures where humans and intelligent systems genuinely complement each other rather than competing for the same tasks.

This is the real leadership challenge of our era. Not the question of whether to automate, but how to lead human beings through a world where the nature of work is changing faster than any previous generation has ever experienced. The people on this list are the clearest, most rigorous, and most practically useful thinkers on that question. They span economics, organisational psychology, ethics, technology, workforce design, and leadership development. They come from North America, Europe, Asia, the Middle East, and the Caribbean. They include Nobel Prize winners, bestselling authors, CHROs, futurists, and independent researchers. What they share is a commitment to the human side of a technological revolution that most institutions are still struggling to comprehend.

This list was compiled by assessing genuine contribution to the field at the intersection of leadership and automation: original research, published frameworks, institutional influence, geographic and disciplinary diversity, and the quality of each person's contribution to how we think about leading people through technological change.

If your organisation is navigating automation and you need your leaders to do more than sit in vendor briefings, Jonno White runs keynotes and executive offsites that translate ideas like these into decisions your team can make on Monday morning. Email jonno@consultclarity.org to discuss. International travel is often far more affordable than clients expect.

Why Leadership in Automation Matters More Than the Technology Itself

There is a reason that the organisations with the most sophisticated automation capabilities are not always the ones producing the best results. The technology gap between leaders and laggards has narrowed dramatically. Any organisation can now access the same cloud platforms, the same AI APIs, the same process automation tools. What they cannot easily acquire is a leadership culture that enables those tools to deliver their potential.

Research from McKinsey published in January 2025 found that organisations with strong leadership alignment around AI strategy were significantly more likely to realise measurable returns from their automation investments. The bottleneck was never the technology. It was the willingness and ability of leaders at every level to make the decisions, hold the conversations, and build the cultures that allow new ways of working to take root.

This matters for three reasons. First, fear. Automation triggers anxiety at every level of organisations, from frontline workers worried about their jobs to senior executives uncertain about their own relevance. Leaders who cannot name and address this fear directly will watch their automation investments stall in the gap between rollout and adoption. Second, meaning. When roles change, people need help understanding what still matters about their work and why they are still valuable. Leaders who fail to do this create disengagement that negates any productivity gain from the technology. Third, design. The most consequential decisions in an automation journey are not technical decisions; they are decisions about which human capabilities to protect, which tasks to assign to machines, and how to structure the collaboration between the two.

Jonno White works with leadership teams across schools, corporates, and nonprofits to build the communication, accountability, and culture frameworks that help organisations move from automation anxiety to automation capability. Bring Jonno in to facilitate the conversation your leadership team has been avoiding. Email jonno@consultclarity.org.

How This List Was Compiled

This list was built around three standards. The first is genuine intellectual contribution to the field: published research, frameworks, or books that have advanced how practitioners and policymakers think about leadership and automation. The second is geographic and disciplinary diversity. A list dominated by US-based academics and Silicon Valley futurists would miss the perspectives that matter most to organisations operating in diverse global contexts. This list includes voices from the United Kingdom, Australia, Singapore, Canada, the Caribbean, Lebanon, Saudi Arabia, and beyond. The third standard is disciplinary breadth: the conversation about leadership in automation requires economists, organisational psychologists, ethicists, technologists, HR practitioners, and operational leaders. All are represented here.

Category One: The Economists and Researchers Who Define the Stakes

Understanding what automation will do to the economy and the workforce is the starting point for any serious conversation about how to lead through it. These five researchers have produced the most rigorous and consequential work on that question.

1. Erik Brynjolfsson

Brynjolfsson directs the Digital Economy Lab at the Stanford Institute for Human-Centered AI and is among the most cited researchers in the world on the economics of technology and work. His insistence on the distinction between augmentation and automation has shaped how serious organisations now approach AI strategy. He argues that the choice between human-like automation (the Turing Trap) and tools that genuinely amplify human capabilities is not a technological inevitability but a design and leadership decision.

His co-authored book The Second Machine Age, written with Andrew McAfee, introduced the concept of the bounty and spread dynamic: technology creates enormous aggregate value while simultaneously concentrating that value in ways that can leave large parts of the workforce worse off. Brynjolfsson spoke at the World Economic Forum Annual Meeting in January 2026 on preventing jobless growth, arguing that leadership choices about how to deploy technology determine which outcome organisations get. His framework is the essential starting point for any leader who wants to make informed decisions about automation.

2. Daron Acemoglu

Acemoglu was awarded the Nobel Prize in Economics in 2024, in part for his work on how institutions and technology shape the distribution of prosperity. His research on automation is a persistent counterweight to the prevailing techno-optimism in boardrooms and consulting reports. Where others see productivity gains, Acemoglu sees the conditions for labour market polarisation and the erosion of worker power that follows when organisations automate without adequate consideration of what they are taking away.

His book Power and Progress, co-authored with Simon Johnson, traces a thousand years of technological development to argue that when the benefits of technology flow narrowly to owners rather than broadly to workers, societal dysfunction follows. His challenge to leaders is direct: technology does not automatically create shared prosperity. The choices leaders make about how automation is designed, deployed, and governed are moral choices with economic consequences. Acemoglu's Nobel award in 2024 confirmed what thoughtful practitioners had understood for a decade: his is the most rigorous voice of caution in this field, and any leader who ignores it is doing strategy without evidence.

3. Andrew McAfee

McAfee is a principal research scientist at MIT and co-author of the foundational texts on the second machine age alongside Brynjolfsson. His contribution to this conversation is the concept of racing with the machine rather than against it: the idea that the most valuable workers in an automated economy are those who understand how to combine human judgment, creativity, and empathy with the capabilities of intelligent systems.

His book Machine, Platform, Crowd, co-authored with Brynjolfsson, provides the strategic framework for organisations trying to understand where human decision-making should be preserved and where algorithmic systems outperform human intuition. McAfee's most recent research explores why organisations consistently underestimate the pace of technological change and the specific managerial behaviours that distinguish the organisations that adapt successfully from those that do not. He has described the core leadership challenge as not managing technology but managing the culture and incentive systems that determine whether your people embrace intelligent tools or resist them.

4. David Autor

Autor is a professor in the MIT Department of Economics and one of the world's leading labour economists, specialising in the long-run effects of technology on employment and wages. His framework of task-based analysis, distinguishing between routine tasks that are easiest to automate and non-routine cognitive and interpersonal tasks that remain distinctly human, has become the standard lens through which workforce planners and leadership teams think about which roles are vulnerable and which will grow.

His research has documented the polarisation of labour markets in advanced economies, where middle-skill jobs are hollowing out fastest while demand grows at both the high-skill cognitive end and the low-skill manual services end. For leaders, this has immediate practical implications: the organisations that thrive will be those who actively invest in helping their middle-skill workforce develop the higher-order cognitive and interpersonal capabilities that automation cannot replicate. Autor's work has been cited extensively in policy discussions across the OECD, at the WEF, and in the strategic planning conversations of major employers globally. His January 2026 research on resolving the automation paradox continues to shape how the field understands the relationship between AI adoption and wage growth.

5. Ethan Mollick

Mollick is an associate professor at the Wharton School of the University of Pennsylvania, co-director of the Generative AI Labs at Wharton, and a named member of TIME Magazine's 100 Most Influential People in Artificial Intelligence. His book Co-Intelligence: Living and Working with AI was a New York Times bestseller and a best book of the year from both The Economist and the Financial Times. More than any other researcher on this list, Mollick bridges the worlds of academic rigour and practical leadership guidance: his experiments test the real effects of AI tools on knowledge work, and his outputs give leaders concrete, evidence-based frameworks for adoption.

His core message is one that every leader navigating automation needs to internalise: AI is not a single capability but a jagged frontier of strengths and weaknesses that requires hands-on experimentation to understand. In March 2026, he published research arguing that organisations should stop treating AI as a chatbot and start treating it as an autonomous system capable of carrying out hours of independent work, with all the governance and leadership challenges that implies. Mollick has counselled figures ranging from Federal Reserve Chair Jerome Powell to Fortune 500 executives on the leadership implications of generative AI.

Category Two: The Future of Work Strategists

These six thinkers have built the frameworks that help organisations not just understand automation's impact but actively design the leadership response to it.

6. Lynda Gratton

Gratton is a Professor of Management Practice at London Business School, founder of the advisory practice HSM Advisory, and a member of the World Economic Forum's Global Future Council on Work, Wages and Job Creation. Her work spans decades of research on the future of work, and her books including Redesigning Work and The 100-Year Life, the latter co-authored with Andrew Scott, have sold over a million copies globally in more than twenty languages.

Her January 2026 article for London Business School argued that the pivotal leadership challenge of 2026 is not technology adoption but organisational intentionality: moving from AI experimentation to AI examination, asking rigorously where AI genuinely adds value and how it changes the flow of work. She has served on former Japanese Prime Minister Abe's Council for Designing a 100-Year Life Society and has chaired the WEF Council on Leadership, bringing rare breadth of institutional and global perspective to a field that often skews toward Silicon Valley optimism.

7. Heather McGowan

McGowan is a keynote speaker, strategic advisor, and co-author of two books with Chris Shipley on the future of work: The Adaptation Advantage and The Empathy Advantage. The New York Times' Thomas Friedman has described her as the oasis of future of work insight, and her work is among the most practically oriented on this list. Where economists model labour markets and researchers measure productivity, McGowan helps leaders understand what it actually feels like to lead human beings through the most disorienting professional transition of their careers.

Her framework for continuous learning as the core leadership competency of the automation era has influenced HR and learning and development practices at major organisations worldwide. She keynoted Enterprise Connect in March 2026, drawing on her central argument that the defining leadership task of our era is building organisations where people are prepared not for a specific job but for a lifetime of learning and adaptation. Her message is optimistic without being naive: the leaders who will succeed are those who can make continuous reinvention feel like growth rather than threat.

8. Jacob Morgan

Morgan is a professionally trained futurist, bestselling author, and keynote speaker based in Los Angeles whose research has shaped the conversation on future-ready leadership at a scale few others have achieved. His book The Future Leader drew on interviews with more than 140 CEOs from companies including Mastercard, Unilever, Best Buy, Oracle, and Kaiser Permanente, combined with a survey of nearly 14,000 LinkedIn members globally, to identify the specific mindsets and skills leaders need to navigate the era of AI and automation.

His four mindsets and five skills framework have been endorsed by CEOs of major global companies and applied in leadership development programmes across multiple continents. Morgan's LinkedIn presence is among the most active and engaged in this space, with his posts in early 2026 focusing on outcome-based leadership and how AI is separating the most effective organisations from their peers. His work is particularly valuable for leaders who want not just academic analysis but a practical map they can act on immediately.

9. Ravin Jesuthasan

Jesuthasan is a Senior Partner at Mercer and the global leader of Mercer's Transformation Services business, as well as a globally recognised futurist and bestselling author on the future of work, automation, and human capital. He is the co-author of several influential books, including Work Without Jobs, co-authored with John Boudreau, and The Skills Powered Organization, co-authored with Tanuj Kapilashrami, both published by The MIT Press. His central argument, supported by extensive work for the World Economic Forum and major global organisations, is that the fundamental unit of work must shift from the job to the skill.

He has been recognised as one of the top 25 most influential consultants in the world by Consulting Magazine and has led multiple WEF research projects on the future of work. His 2025 work at the Davos annual meeting focused on how AI is transforming the very architecture of organisations and the leadership capabilities required to manage human-machine collaboration at scale. For CHROs, operations leaders, and CEOs trying to figure out what their workforce strategy should look like in a world of agentic AI, Jesuthasan's framework is the most practically implemented in actual organisations today.

10. Josh Bersin

Bersin is a global HR analyst, author, and educator whose research at the Josh Bersin Company and through the Josh Bersin Academy has made him one of the most prolific and influential voices on the intersection of HR, technology, and workforce transformation. He provides rigorous, research-backed analysis of HR technology trends with a rare ability to translate complex systems thinking into practical guidance for practising HR leaders.

His LinkedIn posts in 2025 and 2026 have focused intensively on the paradox of AI adoption in HR: tools that promise to make HR more efficient are simultaneously creating new categories of human work, including AI governance, employee relations in automated environments, and skills programme design for roles that did not exist three years ago. Bersin's position is that organisations which treat AI as an HR efficiency play are missing the bigger opportunity, which is using AI to fundamentally redesign how humans develop, collaborate, and create value.

11. Gary Bolles

Bolles is the Chair for the Future of Work at Singularity University and author of The Next Rules of Work: The Mindset, Skillset and Toolset to Lead Your Organisation Through Uncertainty. His work focuses specifically on the adaptive skills and leadership behaviours that help individuals and organisations navigate the continuous disruption of automation and AI. He has consulted for corporations, government agencies, and nonprofits across six continents on how to build cultures of adaptability rather than cultures of anxious reaction to change.

His contribution to this list is his work on learnability as the core human competitive advantage in an automated economy: the capacity to learn new skills quickly enough to stay relevant as the nature of work evolves beneath you. For leaders who are responsible not just for their own development but for building the adaptive capacity of their entire teams, Bolles provides one of the clearest and most practically applicable frameworks on this list.

Category Three: The AI and Leadership Bridge Builders

These six thinkers sit specifically at the intersection of artificial intelligence and leadership, translating rapid technical advances into guidance that leaders can act on.

12. Noelle Russell

Russell is the founder of the AI Leadership Institute, a multi-award-winning technologist, and the author of Scaling Responsible AI. Named the number one Agentic AI Leader in 2025 by Thinkers360, she has taught more than 3.4 million learners through LinkedIn, equipping leadership teams with practical frameworks for AI adoption that generate measurable returns without sacrificing human dignity or organisational trust. She has led technology initiatives at NPR, Microsoft, IBM, AWS, and Amazon Alexa.

Her core message for leaders is that AI adoption fails not because of technology gaps but because of leadership gaps: organisations that rush to deploy AI tools without preparing their workforce, without establishing governance frameworks, and without designing human-machine workflows that reflect genuine collaboration are wasting their investment. She posted actively in February 2026 on the patterns of AI resistance that leaders encounter and the specific communication behaviours that help teams move from fear to capability.

13. Pascal Bornet

Bornet is one of the world's most recognised authorities on intelligent automation and agentic AI. With over 20 years at McKinsey and EY leading what became the foundational Intelligent Automation practice, he has personally overseen AI transformation at hundreds of organisations worldwide. His two bestselling books, Intelligent Automation and IRREPLACEABLE: The Art of Standing Out in the Age of Artificial Intelligence, have become reference texts for business leaders trying to understand how to position their organisations for a world of autonomous AI agents.

His book Agentic Artificial Intelligence, published in March 2025, is the first comprehensive playbook on the implementation of AI agents at enterprise scale. His central thesis is that the organisations that will lead in the era of automation are not those that deploy the most technology but those that most clearly articulate what remains irreplaceable about human contribution. He is consistently ranked among the top 10 global leaders in AI and automation by independent assessment platforms and posts daily on the human implications of emerging technology.

14. Ian Khan

Khan is a Global Top 25 Futurist, AI keynote speaker, and Thinkers50 Distinguished Honoree based in Canada. He is the creator of the Future Readiness Score and the AI Readiness Assessment framework, and host of The Futurist on Amazon Prime Video, where he has conducted more than 500 interviews with global leaders. His work has been featured on CNN, BBC, Bloomberg, and Forbes, and he has spoken for organisations across more than 60 countries.

His particular contribution to this field is his insistence on diagnostic precision: most organisations claim to be ready for AI and automation without any evidence base for that claim. His AI Readiness Assessment benchmarks organisations across 12 dimensions and produces a 90-day prioritised roadmap for closing the gaps that matter most. For leaders who want not just inspiration but measurable progress, Khan's methodology is one of the most practically implementable on this list.

15. Allie K. Miller

Miller is the Founder and CEO of Open Machine, an AI advisory firm working with Fortune 500 companies on strategy and technology adoption, and a former Global Head of Machine Learning Business Development for Startups and Venture Capital at Amazon Web Services. She also built IBM Watson's first multimodal AI team, leading product development across computer vision, conversation, data, and regulation for thousands of companies. She was named a TIME 100 Most Influential Person in Artificial Intelligence in 2025 and is the most followed AI business voice on LinkedIn globally.

Her message for leaders is clear and uncompromising: an AI-First mindset is not about replacing human judgment but about using AI to free human leaders for the work that only humans can do. Her advocacy for increasing diversity in the AI workforce, combined with her deep operational expertise in deploying AI at scale, makes her voice distinctly different from the majority of commentators on this topic. Where most AI commentators focus on what AI can do, Miller focuses on what organisations need to build in leadership, culture, and governance to make AI work reliably and equitably at scale.

16. Azeem Azhar

Azhar is the founder of Exponential View, one of the most widely read analysis newsletters on technology and society, with tens of thousands of subscribers globally including heads of state, senior executives, and major investors. He is the author of The Exponential Age: How Accelerating Technology Is Transforming Business, Politics and Society, which provides the most complete conceptual framework currently available for understanding why the pace of technological change is outstripping the adaptive capacity of most human institutions.

His contribution to the leadership in automation conversation is his concept of the exponential gap: the growing distance between the speed at which technology advances and the speed at which human organisations, social norms, and regulatory systems can adapt. For leaders, this is not a reason for paralysis but a design challenge. The organisations that close the exponential gap fastest are those whose leadership culture prioritises continuous adaptation, deliberate experimentation, and the systematic integration of new capabilities into decision-making.

17. Amy Webb

Webb is a quantitative futurist, founder and CEO of the Future Today Strategy Group, and a professor of strategic foresight at the NYU Stern School of Business. She has built what she describes as the world's first foresight tools grounded in quantitative modelling, transforming strategic foresight from an art into a rigorous, data-driven discipline. She is the author of multiple books including The Signals Are Talking: Why Today's Fringe Is Tomorrow's Mainstream, and has advised governments, Fortune 500 companies, and international organisations on anticipating and preparing for technological disruption.

Her approach is particularly relevant to leaders navigating automation because she does not make predictions; she makes probability-weighted scenarios that give leaders a structured basis for making decisions in the face of genuine uncertainty. Her work on the AI future of work identifies the specific leadership capabilities that will be most valuable across a range of futures, rather than betting everything on a single forecast that may prove wrong.

Category Four: The Workforce Transformation Practitioners

These six voices bring deep practical experience in how automation actually changes organisations, cultures, and careers.

18. Brigette Hyacinth

Hyacinth is the founder of Leadership EQ, an international keynote speaker, and the bestselling author of The Future of Leadership: Rise of Automation, Robotics and Artificial Intelligence, one of the few books written specifically on the leadership implications of this technological transition rather than the technical aspects of automation itself. She has been named Top Leadership and International Keynote Speaker of 2025 and is among the top 20 most followed individuals on LinkedIn globally, with more than four million followers.

Her work focuses on the indispensable role of emotional intelligence in an era when routine cognitive work is increasingly automated. Her argument is that the leaders who will survive and thrive in the automation era are not the most technically literate but the most genuinely human: capable of inspiring trust, navigating ambiguity, building relationships across difference, and creating the psychological safety that allows teams to experiment, adapt, and learn. She has spoken in more than 100 countries and brings a distinctively global and cross-cultural perspective to the leadership development conversation.

19. Thomas H. Davenport

Davenport is the President's Distinguished Professor of Information Technology and Management at Babson College and a Fellow at the MIT Initiative on the Digital Economy. He is the co-author of The AI Advantage: How to Put the Artificial Intelligence Revolution to Work, and one of the most experienced and rigorous thinkers on how organisations actually implement AI and automation at enterprise scale, as opposed to how they talk about it.

His contribution to this list is his focus on the gap between AI aspiration and AI implementation: the specific leadership and organisational factors that allow some organisations to move from proof of concept to production deployment at scale while others remain permanently in pilot mode. His research has identified that the single most important differentiator is not technical talent but senior leadership commitment combined with the willingness to redesign work processes rather than simply overlay AI tools on existing ones.

20. Ben Eubanks

Eubanks is the Chief Research Officer at Lighthouse Research and Advisory, and one of the most grounded voices on the actual, evidence-based intersection of HR technology and the future of work. His research documents the gap between what vendors promise and what organisations actually experience when they deploy AI and automation in their people functions. He is the author of Artificial Intelligence for HR: Use AI to Build a Successful Workforce and posts regularly on LinkedIn with research findings that cut through the noise.

His particular value on this list is his insistence on measurement: rather than speculating about what automation might do to the workforce, Eubanks documents what it is actually doing, with rigorous surveys and case studies from real organisations. For HR leaders and CHROs trying to build credible business cases and track actual returns from automation investments, his work is essential. He also focuses on equity, documenting which groups of workers bear the highest transition costs when automation reshapes their roles.

21. Tomas Chamorro-Premuzic

Chamorro-Premuzic is a Professor of Business Psychology at University College London and Columbia University, chief talent scientist at ManpowerGroup, and the author of I, Human: Why Humans Beat AI at the Art of Being Human and Why That Matters, published in 2023. His work sits at the intersection of personality science, leadership psychology, and organisational behaviour, and he brings rigorous psychological evidence to questions that are often dominated by intuition and anecdote.

His central contribution to this conversation is his analysis of what makes human leadership irreplaceable in an automated world: not intelligence in the conventional sense, but the specific combination of curiosity, empathy, ethical reasoning, and creative problem-solving that AI systems currently cannot replicate. More importantly, he identifies the leadership failure modes that automation accelerates, arguing that organisations that deploy AI without strong human leadership judgment will automate their worst decisions as efficiently as their best ones.

22. Mike Walsh

Walsh is a futurist and the author of The Algorithmic Leader: How to Be Smart When Machines Are Smarter Than You, based in Sydney, Australia, and speaks to major corporate and government audiences globally on the leadership implications of algorithmic decision-making and AI. His particular focus is on the cultural and behavioural changes that organisations need to make when data and algorithms increasingly inform decisions that were previously the sole domain of human judgment.

His perspective is valuable on this list both for its practical focus and for its geographic diversity, bringing an Asia-Pacific and genuinely global perspective to a field dominated by North American and European voices. His work with organisations in Asia, Australia, the Middle East, and the Americas gives him unusual insight into how automation challenges manifest differently in different institutional and cultural contexts.

23. Tanveer Naseer

Naseer is a Canadian leadership author, speaker, and executive coach whose work has focused on the human leadership skills most critical to navigating change, disruption, and technological transformation. His book Leadership Vertigo, co-authored with S. Max Brown, addresses the specific disorientation that leaders experience when their previous success templates no longer apply, precisely the condition that automation creates for the majority of experienced managers.

His active engagement with his LinkedIn community, with thousands of genuine interactions rather than broadcast posting, makes him one of the most community-connected voices on this list. He has consistently focused on the emotional and relational dimensions of leadership at a time when those dimensions are simultaneously most difficult and most important. For leaders in the middle layers of organisations, where the automation transition creates the most immediate disruption, Naseer's practical and empathetic approach is especially valuable.

Category Five: The Ethics, Equity, and Human-Centred Voices

No honest conversation about leadership in automation is complete without voices that ask who bears the costs and whose interests are protected when organisations automate. These five thinkers refuse to allow the economic efficiency argument to drown out the human one.

24. Kate Crawford

Crawford is a senior principal researcher at Microsoft Research, a professor at the University of Southern California, and the author of Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence, which was shortlisted for the Financial Times and McKinsey Business Book of the Year award and has been described as the most important critical analysis of AI's real-world costs and social impacts. Her work documents the supply chains, labour conditions, environmental impacts, and political economies that make modern AI systems possible.

Her contribution to leadership thinking is not to oppose automation but to demand that leaders account for its full costs rather than only its benefits. Her 2025 keynote work has focused on the emerging challenge of AI governance at the organisational level: who is responsible when automated systems make consequential decisions about workers, and what leadership structures are required to ensure that accountability is real rather than nominal. Crawford's work has influenced policy discussions at the WEF, the EU, and major technology companies globally.

25. Safiya Umoja Noble

Noble is a professor and co-director of the Center for Critical Internet Inquiry at UCLA and the author of Algorithms of Oppression: How Search Engines Reinforce Racism, a landmark work on how automated systems encode and amplify existing social biases rather than neutrally executing tasks. Her research has fundamentally changed how serious technology leaders think about audit, governance, and accountability in automated decision-making systems.

For organisational leaders, her work has a direct practical implication: if your automated systems are trained on historical data, they will reproduce historical biases in hiring, performance evaluation, resource allocation, and every other domain where automation is applied. Leadership in automation therefore requires active intervention to identify, audit, and correct for these biases, not as an optional social responsibility add-on but as a fundamental requirement for decisions to be trustworthy. Noble was named one of the most influential AI researchers of 2025 and continues to shape the conversation on AI equity at the highest levels of policy and institutional leadership.

26. Stowe Boyd

Boyd is a leading analyst and commentator on the future of work through his Work Futures newsletter and Substack, one of the longest-running and most consistently thoughtful independent analysis publications in this space. He brings a philosophical and sociological lens to the intersection of work, technology, and human experience that is increasingly rare in a field dominated by economic analysis and technology optimism.

His contribution to this list is his sustained focus on work meaning: what does automation do not just to the quantity of work but to the experience of working? His analysis draws on anthropology, philosophy, and sociology to argue that leaders who treat work purely as a bundle of tasks to be optimised for efficiency will destroy the intrinsic motivation that makes their remaining human workers effective. His work is particularly valuable for leaders in knowledge work environments where the automation of cognitive tasks creates profound questions about professional identity, purpose, and the psychological architecture of high performance.

27. Paul Daugherty

Daugherty is the Chief Technology and Innovation Officer at Accenture, one of the largest technology services companies in the world. He is the co-author of Human + Machine: Reimagining Work in the Age of AI, co-authored with H. James Wilson, which has become the most widely used framework for understanding how organisations can redesign their work operating models to bring together human and machine capabilities in genuinely complementary ways.

His approach is fundamentally optimistic: the organisations that will thrive are those that neither fear automation nor uncritically embrace it but actively design the human-machine combinations that produce results neither could achieve alone. His work at Accenture gives him rare access to actual implementation data from hundreds of large-scale automation programmes, making his frameworks empirically grounded in a way that purely academic treatments cannot match.

28. Katy Milkman

Milkman is a professor at the Wharton School of the University of Pennsylvania, host of the podcast Choiceology, and author of How to Change: The Science of Getting from Where You Are to Where You Want to Be. Her work on behavioural science and the psychology of change is increasingly essential for leaders navigating automation because the challenge of automation adoption is at its core a behaviour change challenge.

Her research on the specific interventions that help people adopt new tools, build new habits, and overcome the cognitive and emotional barriers to change is directly applicable to every stage of the automation journey. Her fresh start effect and temptation bundling frameworks have been applied in major organisational change programmes globally. For leaders who want evidence-based approaches to helping their teams move from automation resistance to automation capability, Milkman's work is the most practically applicable science on this list.

Category Six: The Organisational Design and Culture Disruptors

These four thinkers interrogate the structures and cultures that either enable or block effective leadership through automation.

29. Gary Hamel

Hamel is one of the most influential management thinkers of the past three decades, co-author of Humanocracy: Creating Organisations as Amazing as the People Inside Them, co-authored with Michele Zanini, and the founder of the Management Lab. His central argument for this list is that bureaucracy is the single greatest obstacle to effective leadership in the automation era: the rigid hierarchies, process constraints, and risk-averse cultures that characterise most large organisations are precisely what makes them slow to adopt, slow to adapt, and slow to capture the value that automation offers.

His work on the bureaucracy mass index and his research into organisations that have successfully dismantled bureaucratic structures in favour of more distributed, human-centred models provides leaders with a structural framework for understanding why their automation investments underperform. He has been speaking and writing prolifically in 2025 and 2026 on the specific leadership behaviours that either perpetuate bureaucracy or begin to dismantle it.

30. Charlene Li

Li is the founder of Altimeter Group and author of The Disruption Mindset: Why Some Organisations Transform While Others Fail. Her research and consulting work has focused on why some organisations, even large, established ones, are able to use technology disruption as a catalyst for growth while others experience it as an existential threat. Her framework identifies the specific leadership decisions, cultural conditions, and strategic commitments that determine which outcome an organisation gets.

For leaders navigating automation, her work has immediate practical relevance: the organisations that automate successfully are not those with the most sophisticated technology but those whose leaders have built cultures of experimentation, accepted the short-term costs of transformation, and aligned their teams behind a clear vision of what the automated organisation will be able to do that the pre-automated one could not.

31. Michael Arena

Arena served as Chief Talent Officer at General Motors and is the author of Adaptive Space: How GM and Other Companies Are Positively Disrupting Themselves and the World. His research on network science applied to organisational dynamics provides leaders with a practical framework for understanding how ideas, practices, and capabilities flow through organisations, and how automation's impact on any given team or function propagates through the broader organisational network.

His contribution to this conversation is his concept of adaptive space: the intentional creation of conditions in which exploration, experimentation, and cross-boundary collaboration can happen alongside the operational demands of day-to-day work. In an automation context, adaptive space is precisely what allows organisations to develop the human capabilities that complement their automated systems, rather than simply deploying technology and hoping that cultural adaptation follows automatically.

32. Tiffani Bova

Bova is the Chief Strategy and Research Officer at The Futurum Group and the former Global Growth and Innovation Evangelist at Salesforce, where she spent nearly a decade helping the world's largest companies navigate technology-driven transformation. She is the author of two Wall Street Journal bestselling books: GrowthIQ and The Experience Mindset. Consistently ranked among the Thinkers50 Top 50 Business Thinkers in the world, she has brought a distinctive perspective on the intersection of employee experience, customer experience, and technology deployment.

Her research shows that the most successful automation programmes are those that improve the experience of the people doing the work, not just the productivity of the process. When automation eliminates the frustrating, repetitive, or low-value parts of a role while protecting the high-judgment, relational, and creative work, employees become advocates for automation rather than resisters of it. Her framework has practical implications for every leader making decisions about which parts of their team's work to automate first.

Category Seven: Global and Emerging Voices

33. Sangeet Paul Choudary

Choudary is a Singapore-based entrepreneur, thinker, and bestselling author of Platform Scale: How an Emerging Business Model Helps Startups Build Large Empires with Minimum Investment. As a World Economic Forum Young Global Leader and an advisor to governments and major platforms globally, he brings one of the most geographically diverse perspectives on the leadership implications of automation to this list.

His particular contribution is his analysis of how automation and platform economics intersect: as more work is mediated by algorithmic platforms, from gig economy platforms to internal talent marketplaces, the nature of leadership itself shifts from managing people to designing systems that bring human capabilities and automated processes together at scale. His work is increasingly focused on the specific leadership and governance challenges that arise when AI agents begin to operate as quasi-autonomous participants in organisational workflows.

34. Leila Hoteit

Hoteit is a Senior Partner and Managing Director at Boston Consulting Group, where she leads the firm's work on technology, digital transformation, and the future of work across the Middle East and Africa. She has been named one of the most influential women in business in the Arab world and is a World Economic Forum Young Global Leader whose research has focused specifically on how automation and digital transformation interact with workforce equity, gender inclusion, and economic development in contexts very different from the Silicon Valley default.

Her work on women's economic participation in the context of automation is among the most important contributions to this field from outside the Western academic mainstream. Her research has documented that automation and AI, if deployed without deliberate attention to equity, will accelerate existing disadvantages in labour markets that already underserve women, lower-income workers, and workers in emerging economies. For leaders in global organisations, her perspective is a corrective to the assumption that automation's benefits and costs will distribute evenly.

35. Jonno White

The thinkers on this list are the people shaping the ideas. Jonno White is the person organisations bring in when they are ready to act on those ideas, to have the difficult conversations, redesign their leadership team culture, and build the accountability frameworks that actually change how people work together.

Jonno White is a Brisbane-based Certified Working Genius Facilitator, bestselling author of Step Up or Step Out with over 10,000 copies sold globally, and keynote speaker with a 93.75% satisfaction rating at the ASBA 2025 National Conference. He works globally with schools, corporates, and nonprofits, facilitating executive offsites, running Working Genius and DISC workshops, and delivering keynotes that give leaders practical tools for leading teams through rapid change. International travel is often far more affordable than clients expect.

To book Jonno to facilitate your next leadership session, email jonno@consultclarity.org.

Notable Voices We Almost Included

Several significant contributors to this conversation narrowly missed the final list. Stacy Brown-Philpot, former CEO of TaskRabbit, has been a powerful voice on the governance of gig work but has reduced her public writing output significantly since leaving the role. Philip Evans, formerly of BCG, shaped the foundational thinking on digital disruption but is primarily active in consulting rather than public thought leadership at this stage. Kai-Fu Lee brings a genuinely important perspective on AI's impact on the Chinese and broader Asian workforce, but his most recent public writing has shifted toward investor commentary rather than the leadership development focus of this list. Anna Tavis at NYU brings valuable academic perspective but has published primarily for academic audiences rather than the practitioner community this list serves.

Common Mistakes to Avoid

The most pervasive mistake leaders make when approaching automation is treating it as an IT project rather than a leadership challenge. They assign implementation to the technology team, measure success in processing speed or cost reduction, and then wonder why adoption is poor and morale is low. The thinkers on this list have been consistent on this point: the limiting factor in almost every automation programme is not the technology but the leadership.

A second mistake is the assumption that fear management is separate from strategy. Many leaders acknowledge that their people are anxious about automation but treat that anxiety as a communications problem to be managed rather than a signal about what their people need from their leadership. Anxiety is not an obstacle to automation; it is information about what people need to feel genuinely supported through a transition. Leaders who provide that support consistently see faster adoption, better collaboration between humans and automated systems, and lower attrition than those who push through without addressing the emotional reality.

A third mistake is automating the wrong things first. The organisations that have had the most damaging experiences with automation are those that automated customer-facing or employee-facing interactions before they had the human leadership infrastructure to handle the exceptions, complaints, and edge cases that algorithmic systems cannot manage. Starting with back-office processes and building toward customer and employee touchpoints gives organisations the time to learn what automation can and cannot handle gracefully.

A fourth mistake is treating automation as a one-time decision rather than a continuous design process. The leaders who are navigating automation best in 2026 are those who have built ongoing governance structures, regular review cycles, and continuous feedback loops between automated systems and the human workers alongside them. Automation is not a destination; it is an ongoing relationship between people and technology that requires constant tending.

A final mistake is underestimating what gets lost when tasks are automated. When a middle manager's administrative work is automated, what also disappears is the unstructured time in which that manager built relationships, sensed the mood of their team, and provided informal coaching. The task was automated but the relational and sense-making function attached to it was not designed for. Leaders who think carefully about what tacit value is embedded in the work they are automating will design much better transitions than those who see only the task.

Implementation Guide: Building Your Leadership Practice for the Automation Era

Begin by getting honest about where your organisation currently sits. Not where your most recent AI strategy presentation says you are, but where you actually are. What proportion of your leaders can clearly articulate how automation will change their team's work in the next three years? What percentage of your workforce has been genuinely prepared for the transitions coming? What is your governance structure for decisions about which human roles are protected and which are redesigned? If your honest answers to these questions are uncomfortable, that discomfort is where your work begins.

Next, build the habit of following and reading the people on this list. Not the most famous ones, but the ones whose perspective most challenges your default assumptions. If you are an optimist about automation's human impact, spend time with Acemoglu and Crawford. If you are a sceptic about AI's practical utility, spend time with Mollick and Bornet. The goal is not to confirm what you already believe but to stress-test it with the best available evidence.

Create deliberate space for your leadership team to have the conversations that the velocity of work makes it easy to avoid. What does your organisation owe the workers whose roles will change? What investment in reskilling and transition support reflects your actual values rather than your stated ones? What does it mean to lead with integrity when you know that automation will displace roles and you do not yet know exactly which ones? These are not questions that an AI can answer. They require the kind of human leadership judgment, moral courage, and relational trust that the best thinkers on this list describe but that your people have to enact.

Finally, experiment. The thinkers on this list are operating at the frontier of a field that is moving faster than any framework can fully capture. Ethan Mollick's most consistent advice is to use these tools for everything you legally can, not to delegate your thinking but to develop the hands-on intuition that no amount of reading can provide. The leaders who will navigate automation best are those who lead from direct experience rather than secondhand commentary.

Jonno White facilitates executive offsites that give leadership teams the structured time and process to have exactly these conversations. Whether virtual or face to face, reach out to jonno@consultclarity.org.

Frequently Asked Questions

What is leadership in automation?

Leadership in automation refers to the practice of leading people, teams, and organisations through the changes that automation and AI bring to the nature of work. It includes making strategic decisions about which tasks to automate, designing human-machine workflows that bring out the best in both, building cultures of adaptability and psychological safety, and managing the human costs of transition with integrity and care.

Why does leadership matter more than technology in automation success?

Every major analysis of automation programme performance finds that the gap between organisations that succeed and those that fail is not explained by technology differences but by leadership and cultural differences. The same platforms, the same tools, and the same investment levels produce radically different outcomes depending on whether leadership is aligned, whether people feel genuinely supported through the transition, and whether the work redesign process treats human beings as the primary stakeholders rather than an afterthought.

How was this list compiled?

This list was built around genuine intellectual contribution to the field, including published research, frameworks, and books that have moved the conversation forward; geographic and disciplinary diversity to ensure the list represents global perspectives not just US and European ones; and evidence of active contribution to the field in 2025 and 2026. The goal was a list that a leader with no prior exposure to this topic could use as a complete reading and following guide, and that an experienced practitioner would find genuinely new and challenging voices among.

What is the biggest mistake organisations make in automation?

The most common and consequential mistake is treating automation as a technology implementation rather than a leadership challenge. Organisations that lead with the technical question of what can we automate without first answering the leadership question of how do we help our people navigate this transition with dignity and purpose consistently underperform those that lead with the human question first.

Can I hire someone to facilitate leadership sessions on automation for my team?

Jonno White facilitates keynotes, workshops, and executive offsites that help leadership teams translate the ideas these thinkers champion into practical decisions. His Working Genius sessions help teams understand which roles on the leadership team will be most energised or depleted by the human leadership demands of the automation transition. His executive offsites create the structured space for leadership teams to make the alignment decisions that allow automation programmes to move from strategy to implementation.

Email jonno@consultclarity.org to discuss your team's needs.

What are the best books on leadership in automation?

The essential reading list from this list includes Co-Intelligence by Ethan Mollick, The Second Machine Age by Erik Brynjolfsson and Andrew McAfee, Work Without Jobs by Ravin Jesuthasan and John Boudreau, The Adaptation Advantage by Heather McGowan and Chris Shipley, Human + Machine by Paul Daugherty and H. James Wilson, Atlas of AI by Kate Crawford, and Humanocracy by Gary Hamel and Michele Zanini.

For the leadership behaviour dimension specifically, Jonno White's book Step Up or Step Out, available at Amazon, addresses the difficult conversations and accountability frameworks that every leadership team needs when navigating significant organisational change.

Final Thoughts

The automation era is not a future state to be prepared for. It is the present reality that every leadership team on the planet is already navigating, with varying degrees of awareness and capability. The question is not whether your organisation will be transformed by AI and automation but whether your leadership will shape that transformation or be shaped by it.

The thirty-five thinkers on this list represent the best available thinking on that question. They are not all optimists. They do not all agree. What they share is a seriousness about the stakes, a rigour in their evidence, and a commitment to the idea that leadership choices matter enormously in determining who benefits from the automation revolution and who pays the costs of it.

Read them. Follow them. Disagree with some of them. And then use what you learn to lead your people with the clarity, courage, and care that this moment demands.

Jonno White's bestselling book Step Up or Step Out has helped more than 10,000 leaders navigate the difficult conversations that real change requires. Available at Amazon. Email jonno@consultclarity.org to book Jonno for your next keynote, workshop, or executive offsite.

About the Author

Jonno White is a Certified Working Genius Facilitator, bestselling author, and leadership consultant who has worked with schools, corporates, and nonprofits across the UK, India, Australia, Canada, Mongolia, New Zealand, Romania, Singapore, South Africa, USA, Finland, Namibia, and more. His book Step Up or Step Out has sold over 10,000 copies globally, and his podcast The Leadership Conversations has featured 230+ episodes reaching listeners in 150+ countries. Jonno founded The 7 Questions Movement with 6,000+ participating leaders and achieved a 93.75% satisfaction rating for his Working Genius masterclass at the ASBA 2025 National Conference. Based in Brisbane, Australia, Jonno works globally and regularly travels for speaking and facilitation engagements. Organisations consistently find that international travel is far more affordable than expected.

To book Jonno for your next keynote, workshop, or facilitation session, email jonno@consultclarity.org.

Next Read

If you found this list valuable, you might also enjoy exploring the 50 Best Keynote Speakers on AI and the Future of Work, a comprehensive guide to the speakers who are helping organisations translate the ideas on this list into conference-quality insights for leadership teams and annual events. The article examines the specific keynote programmes, bureau representations, and delivery styles that make each speaker distinctive.

Keep reading: https://www.consultclarity.org/post/keynote-speakers-ai-future-of-work