Future of Work

Why organisations work with Clay Shirky He is running one of the most closely watched AI transitions inside a major research university, giving leaders a live view of how a complex institution is actually absorbing the technology, not a theoretical account. His 2008 book Here Comes Everybody is still the reference text for how networks dismantle hierarchical coordination. He brings two decades of that argument to the current question of what AI does to professional work. He has spent his career identifying the moment a technology stops being a tool and starts changing who gets to do the job. Leaders use him to pressure-test where that line sits inside their own organisation. He writes and speaks in plain language. Senior teams come away with a sharper vocabulary for decisions they had been circling: about integrity, expertise, and the parts of the business that AI makes cheaper to replace than to defend. Named originator of the Shirky Principle, which is quoted back at boards more often than most of them realise: institutions try to preserve the problem to which they are the solution. Biography highlights Vice Provost for AI and Technology in Education, New York University. Associate professor at NYU’s Arthur L. Carter Journalism Institute and Tisch School of the Arts Interactive Telecommunications Program. Former Chief Information Officer, NYU Shanghai. Author of Here Comes Everybody, Cognitive Surplus, and Little Rice, published by Penguin. Edward R. Murrow Visiting Lecturer, Harvard Kennedy School’s Shorenstein Center. Contributor to The New York Times, The Wall Street Journal, Harvard Business Review, and Wired. TED speaker with multiple talks on collaboration, cognitive surplus, and the politics of networked media. Biography The question most organisations are now quietly asking about AI is not technical. It is institutional. If the tools available to a junior employee can produce output that used to require a senior one, what happens to the rungs of the ladder in between? That is the terrain Clay Shirky has been working on for twenty years, first as a theorist of digital networks, now as the person running AI strategy inside one of the largest research universities in the world. At NYU he is Vice Provost for AI and Technology in Education, with responsibility for how the university teaches, examines, and credentials students in an environment where a generative tool can write a plausible essay in seconds. Before that he was Chief Information Officer of NYU Shanghai. He holds faculty positions at the Arthur L. Carter Journalism Institute and the Tisch School of the Arts Interactive Telecommunications Program. Here Comes Everybody, published in 2008, set out the argument that group action no longer requires a formal organisation to coordinate it. Cognitive Surplus extended the case into what people do with the time that television used to absorb. Little Rice looked at the same dynamics through the smartphone industry in China. The through-line is consistent: when the cost of coordination falls, the shape of every institution that depended on that cost changes. The Shirky Principle, named by Kevin Kelly, captures the argument leaders take back to their own boards: institutions will try to preserve the problem to which they are the solution. He has made that case to audiences at TED, at Harvard’s Shorenstein Center as Edward R. Murrow Visiting Lecturer, and in the pages of the New York Times, Wall Street Journal, Harvard Business Review, and Wired. The current application, and the reason senior teams are booking him, is AI. Key speaking topics AI and the future of knowledge work Institutional change in the age of generative AI Networked collaboration and the economics of group action The future of education, credentialing, and academic integrity Digital disruption of professional expertise Technology policy and the public internet Organisational design for a post-hierarchical era Ideal for Boards and executive teams working through AI strategy beyond productivity use cases. University, publishing, media, and professional services leaders whose business model depends on credentialed expertise. CHROs and learning leaders rethinking how people are trained, assessed, and promoted when AI can do parts of the job. Policy and public sector leaders examining how digital networks and AI are reshaping institutional trust. Audience outcomes A sharper reading of which parts of their organisation AI makes cheaper to replace than to defend. A working vocabulary for the decisions leaders are already making about integrity, authorship, and expertise. A clearer sense of what a major research university is actually doing about AI, from someone running the work. A framework for thinking about institutional change that does not collapse into either hype or fatalism. Concrete examples of networked coordination and AI adoption drawn from two decades of original research and current practice.

Why organisations work with Sir Christopher Pissarides The Diamond-Mortensen-Pissarides model – the standard tool used by central banks and governments to analyse unemployment and wage formation – means his analysis carries a precision and institutional grounding that macroeconomic commentary cannot match. His Pissarides Review into the Future of Work and Wellbeing, a Nuffield Foundation-funded programme conducted with Imperial College London and Warwick Business School, converts macroeconomic research into concrete, evidence-based frameworks for managing workforce disruption from automation. Forty years of advisory work for the World Bank, European Commission, OECD, and Bank of England means audiences receive analysis that has already shaped the policy environment they operate in – not analysis that describes it from the outside. His position as co-developer of the most cited model in labour economics, and former chair of a national economy council during a financial crisis, enables board-level conversations that translate structural theory directly into strategic workforce decisions. His analysis of AI and automation extends the search-frictions framework behind his Nobel Prize – it is not speculative commentary, but a rigorous continuation of four decades of original research applied to a new generation of technological disruption. Biography highlights Nobel Prize in Economic Sciences 2010, jointly with Peter Diamond and Dale Mortensen, for “analysis of markets with search frictions” Regius Professor of Economics, London School of Economics – faculty member since 1976; former Head of the Economics Department Co-developer of the Diamond-Mortensen-Pissarides (DMP) model – the standard global tool for analysing unemployment, wage formation, and labour market policy Author of Equilibrium Unemployment Theory (MIT Press) – the standard reference in labour economics Co-Founder and Co-Chair, Institute for the Future of Work (2018); led the Pissarides Review into the Future of Work and Wellbeing, a £1.8m Nuffield Foundation-funded programme with Imperial College London and Warwick Business School Knighted 2013 for services to economics; IZA Prize in Labor Economics 2005; Fellow of the British Academy, Econometric Society, and American Economic Association; adviser to the World Bank, European Commission, OECD, and Bank of England Biography The Diamond-Mortensen-Pissarides model is the standard analytical framework for understanding unemployment. Sir Christopher Pissarides co-built it at the London School of Economics, where he has been on the faculty since 1976. He received the 2010 Nobel Prize in Economic Sciences for the work, jointly with Peter Diamond and Dale Mortensen. The model’s core claim is that labour markets are governed by frictions. Workers and vacancies do not find each other efficiently. Search costs, information gaps, and institutional design create persistent mismatches that no increase in job openings can resolve on its own. This structural view of unemployment is the one that central banks, the World Bank, and the European Commission reach for when they need precision rather than commentary. Pissarides co-founded the Institute for the Future of Work in 2018 and led the Pissarides Review into the Future of Work and Wellbeing, a Nuffield Foundation-funded programme conducted with Imperial College London and Warwick Business School. The Review applies his frictions framework to automation and AI, producing evidence on how technological disruption creates new mismatches and what organisations and governments must do to manage them. His advisory record spans the World Bank, the European Commission, the OECD, and the Bank of England. He chaired the National Economy Council of the Republic of Cyprus during its financial crisis. He is a Fellow of the British Academy, the Econometric Society, and the American Economic Association. For boards and leadership teams working through structural workforce questions, his analysis carries a weight that secondary interpretation of the same data cannot replicate. Key speaking topics Labour market economics and unemployment theory Search frictions and job matching Automation, AI, and the future of work Workforce disruption and structural economic change Employment policy and institutional design Economic growth and structural transformation Worker wellbeing and productivity Ideal for Boards and C-suite leadership navigating long-term workforce and employment strategy Policymakers, finance ministries, and government economic advisers Chief Human Resources Officers and HR leadership teams grappling with automation and structural workforce change Economic and business conferences addressing labour markets, growth, or the workforce consequences of technology Audience outcomes A structural model for why labour markets underperform that goes beyond cyclical explanations Analytical tools for assessing how automation and AI will affect workforce composition in specific sectors or regions A framework for distinguishing cyclical workforce disruption from structural change that requires institutional response Policy context for decisions on hiring, reskilling, and workforce investment Clarity on how technological change distributes economic gains and losses – and what factors determine which outcome prevails

Why organisations work with Christian Kromme He reads AI through the lens of biological evolution, not technology alone. His “seven wave patterns” framework maps how disruptive technologies develop along the same sequences nature follows. Leadership teams leave with a predictive tool for what is coming next. His institutional position does real work. As Senior AI Research Fellow at The Conference Board, he briefs Fortune 100 and 500 executives on AI’s societal and organisational impact on a continuous basis. The material he brings to a keynote is the same material he tests weekly on senior audiences. Two books form the spine of the argument: Humanification: Go Digital, Stay Human (a #1 Amazon bestseller in its category) and The Human Spark – Beyond AI, both published by Choir Press. A buyer gets a specific intellectual position they can interrogate before committing. He approaches AI without the usual binary. Most AI keynotes either sell the hype or sound the alarm. Kromme’s proposition is that technology becomes more human as it matures, and that an organisation’s commercial job is to get ahead of that curve. Operator credibility behind the analysis. He founded and ran the innovation agency Artificial Industry for over a decade before selling it to a multinational in 2014, and continues to build and advise tech companies. The result is a speaker who understands how change actually lands inside a commercial organisation. Biography highlights Author of the international bestseller Humanification: Go Digital, Stay Human (Choir Press), a #1 Amazon bestseller in the Innovation, Entrepreneurship and Leadership category. Author of The Human Spark – Beyond AI (Choir Press, 2026), launched at a sold-out event at Singer Theater in the Netherlands in January 2026. Senior AI Research Fellow at The Conference Board, with a dedicated AI content channel (“The Zone”) on the Conference Board platform. Founder of the innovation agency Artificial Industry (sold to a multinational in 2014) and founder of Symbiosys, an AI-powered organisation-as-a-service platform. Keynote speaker at Europol, Shell, BP, Cisco Systems, Philips, ManpowerGroup, Oracle, TEDx and TEDxINSEAD, among others. Recognised with the Shell LiveWIRE Young Business Award, the SAN Award, and the Broos van Erp Prize. Biography Every wave of disruptive technology rewires what an organisation needs from its people. The internet commoditised distribution. Mobile made attention the contested resource. AI is now absorbing the cognitive work most knowledge businesses are built on. The commercial question for leadership teams is what remains valuably human once the thinking layer is automated. That is the question Christian Kromme has spent a decade answering. His book Humanification: Go Digital, Stay Human set out the thesis. The evolution of human-made technology follows the same patterns as biological evolution. The most successful technologies are those that amplify what is most human about their users, not what is most mechanical. The book became a #1 Amazon bestseller in the Innovation, Entrepreneurship and Leadership category. His follow-up, The Human Spark – Beyond AI (Choir Press, 2026), sharpens the argument for the current moment. Drawing on evolution, neuroscience and real-world case work, Kromme maps a transition he calls Human 3.0 to Human 4.0. Human 3.0 was optimised for intellect and industrial output. Human 4.0 treats intuition, creativity, awareness and connection as the strategically decisive capabilities. He positions this as a commercial consequence of where machine intelligence is headed, not a cultural preference. The credibility behind the argument is institutional and operator-level at once. As Senior AI Research Fellow at The Conference Board, Kromme briefs Fortune 100 and 500 leadership teams on AI’s societal and organisational impact. He founded the innovation agency Artificial Industry in 2002 and sold it to a multinational in 2014. He now advises and builds tech companies, including Symbiosys, an AI-powered organisation-as-a-service platform he founded. Key speaking topics Artificial intelligence and the future of business Human-centred AI strategy Disruptive innovation and exponential technology Biological patterns of technological change The future of work in the age of AI Organisational agility in AI-driven markets Ideal for Boards and C-suite teams setting AI strategy where the question is commercial positioning, not just deployment. CHROs and heads of organisation design rethinking how work is structured when cognitive tasks become machine-native. Chief transformation officers, CTOs and CIOs building the case for AI adoption with human capability at the centre. Leadership offsites, innovation summits and industry congresses where the audience is responsible for the next three-to-five year horizon. Audience outcomes A predictive model for what the next wave of technological disruption looks like before it arrives, based on how biological and technological evolution move in parallel. A clear position on what AI can and cannot replace, and where the organisation’s human capability is commercially under-invested. A reframe of AI adoption as a human capability question, with implications for how teams, roles and strategy are designed. Shared vocabulary (Humanification, Human 3.0 to Human 4.0, the seven wave patterns of innovation) that leadership teams can use to continue the conversation after the session.

Why organisations work with Carl Honoré He makes a specific, testable claim that most management culture resists: that slowing down is not a productivity concession but a competitive advantage, and he has two decades of cross-sector evidence to support it. His Slow Fix framework gives organisations a direct alternative to short-termism in problem-solving, not as a philosophical preference, but as a structured approach to decisions that actually hold. On ageing and the workforce, he converts a topic most organisations treat as a compliance or HR issue into a commercial argument: mixed-age teams outperform across measurable metrics, and ageism is a business risk, not just a social one. His work sits at the junction of two urgent organisational pressures – sustainable performance culture and the longevity economy – giving him a rare dual relevance for leadership teams and people functions simultaneously. As the originator of the Slow Movement – a framework covered by the Financial Times, Wall Street Journal, Economist and Time, among others – he brings a level of intellectual ownership that very few speakers in the workplace culture space can claim. Biography highlights Author of In Praise of Slow (2004), Under Pressure, The Slow Fix, and Bolder – published in 36 languages, with bestseller listings across multiple countries Two main-stage TED Talks – «In Praise of Slowness» and «Why We Should Embrace Aging as an Adventure» – with combined views in the millions In Praise of Slow described by the Financial Times as the foundational text of the Slow Movement Journalist whose work has appeared in The Economist, Observer, National Post, Houston Chronicle, Miami Herald, and Time Named 2024 Advocate for Aging by Next Avenue and the American Society on Aging Creator and presenter of BBC Radio 4 series Status by Carl Honoré; previously presented The Slow Coach for BBC Radio 4 and Frantic Family Rescue for ABC TV Australia Bolder selected as BBC Radio 4 Book of the Week and Reader’s Digest (UK) Book of the Month Graduated from the University of Edinburgh; reported across Europe and South America for over a decade before turning to books Biography Speed and youth are the two defaults of modern organisational culture. Carl Honoré has built a career and a global movement on the argument that both are miscalibrated, and that the evidence for changing them is stronger than most organisations acknowledge. In Praise of Slow (2004), the book that gave the Slow Movement its name and its intellectual framework, made a counterintuitive claim: that choosing when to be fast, rather than defaulting to fast, is a more reliable route to performance. The Financial Times placed it as the foundational text of the movement. His third book, The Slow Fix, extended that argument into problem-solving, building the case that organisations addicted to quick responses consistently underperform against those willing to invest time in diagnosis and depth. His more recent work, anchored in Bolder, applies the same analytical lens to age. The demographic case for rethinking older workers is well-established in research; the cultural and commercial case is Honoré’s contribution. His argument that ageism functions as a form of the same bias toward speed and novelty that distorts organisational decision-making, connects the two strands of his work into a coherent framework for leaders. In 2024, that work was recognised by both Next Avenue and the American Society on Aging, who named him an Advocate for Aging. Trained as a journalist at The Economist, Observer, and Time, among other outlets, Honoré brings a mode of inquiry to organisational topics that is grounded in evidence gathered across cultures and sectors, not in a single industry or institutional context. His two main-stage TED Talks have been viewed millions of times; his books are published in 36 languages. Key speaking topics Pace as organisational strategy The Slow Movement and workplace performance Multigenerational workforce design Ageism as a commercial risk Sustainable performance and decision quality The Slow Fix: problem-solving under pressure Status, hierarchy, and organisational culture Longevity and the future of work Ideal for CHROs and people leaders designing age-inclusive workforces and addressing talent retention across generations CEOs and senior leadership teams examining whether performance culture is undermining the quality of decisions and the depth of problem-solving Boards and executive committees navigating the commercial implications of ageing demographics and multigenerational customer bases Culture transformation leads and change management functions rethinking pace, productivity, and sustainable output Audience outcomes A clear framework for diagnosing where organisational speed becomes a liability – in decision-making, leadership, and creative work Evidence-based understanding of why multigenerational teams outperform and what structural changes enable that performance A reframed view of ageism as a commercial and strategic problem, not only a social or legal one Practical approaches drawn from the Slow Fix framework for tackling complex problems without defaulting to short-term solutions Greater awareness of the connection between pace culture and youth bias – and why addressing one typically requires addressing both

Why organisations work with Carl Frey The 2013 paper Frey co-authored with Michael Osborne – estimating 47% of US jobs at risk from automation – is one of the most cited works in social science of the past two decades, with its methodology adopted by Obama’s Council of Economic Advisors, the World Bank, and the Bank of England. No comparable speaker in this space brings this level of intellectual provenance to the conversation. His concept of the “technology trap” gives boards a precisely named mechanism for diagnosing their own institutional response to AI: the pattern by which efforts to resist short-term disruption deny organisations the long-term gains that technology makes possible. How Progress Ends (Princeton, 2025) addresses the question now at the top of most board agendas – why do some organisations and nations sustain the capacity to benefit from new technology while others stagnate – and gives senior leaders a durable, historically grounded answer rather than a forecast. His analysis is built on 1,000 years of economic history, not current trend extrapolation. That means the framework he offers survives the next wave of AI announcements rather than becoming obsolete with each new model release. Advisory roles with the G20, OECD, European Commission, and OECD Global Partnership on Artificial Intelligence mean he brings regulatory and policy intelligence that most academic speakers lack – organisations understand not just the technology but the governance environment forming around it. Biography highlights Dieter Schwarz Associate Professor of AI & Work, Oxford Internet Institute; Fellow of Mansfield College; Director, Future of Work Programme, Oxford Martin School, University of Oxford Co-author of “The Future of Employment” (2013, with Michael Osborne) – one of the most cited social science papers of the past two decades; 20,000+ citations on Google Scholar; methodology adopted by Obama’s Council of Economic Advisors, the World Bank, and the Bank of England Author of The Technology Trap (Princeton University Press, 2019) – Financial Times Best Books of the Year; winner of the Richard A. Lester Prize for Outstanding Book in Industrial Relations and Labour Economics (Princeton University) Author of How Progress Ends (Princeton University Press, 2025) – shortlisted for the FT/Schroders Business Book of the Year Award; finalist for the Lionel Gelber Prize Advisor to the G20, OECD, European Commission, and United Nations; former member of the OECD Global Partnership on Artificial Intelligence and the World Economic Forum’s Global Future Council on the New Economic Agenda Ranked in the top 0.5% of economists worldwide by IDEAS/RePEC; contributor to the Financial Times, Wall Street Journal, Foreign Affairs, Scientific American, and The Economist (By Invitation) Biography The paper that put 47% of US jobs at risk of automation – co-authored at Oxford by Carl Benedikt Frey and Michael Osborne in 2013 – reshaped the global policy debate and became one of the most cited works in social science that decade. Obama’s Council of Economic Advisors used its methodology. So did the World Bank and the Bank of England. The Economist later described Frey as an “accidental doom-monger”: his own reading of the evidence was considerably more nuanced than the headlines. That nuance became the subject of his first book. The Technology Trap (Princeton, 2019) – Financial Times Best Book of the Year and winner of Princeton’s Richard A. Lester Prize – argued that the real risk of automation is not that work disappears, but that organisations and governments mismanage the transition. Drawing on the Industrial Revolution and the Computer Revolution, Frey named the failure mode precisely: resistance to short-term disruption, he showed, tends to deny access to the long-term gains. His 2025 book How Progress Ends – shortlisted for the FT/Schroders Business Book of the Year Award – extends the framework to the question now central to board strategy: why do some organisations and nations sustain the capacity to benefit from new technology while others stagnate? Frey’s answer, built from 1,000 years of economic history spanning Song China to the present, identifies the balance between decentralised innovation and the institutional capacity to scale as the deciding factor. As Dieter Schwarz Associate Professor of AI & Work at Oxford’s Internet Institute and Director of the Future of Work Programme at the Oxford Martin School, Frey advises the G20, OECD, European Commission, and United Nations. His analysis appears in the Financial Times, Wall Street Journal, Foreign Affairs, and Scientific American. IDEAS/RePEC ranks him in the top 0.5% of economists worldwide. Key speaking topics Automation, AI, and labour market transformation The technology trap: historical lessons for the age of AI Why progress stalls – and what organisations and nations can do about it Workforce strategy in an era of technological disruption AI, inequality, and the distribution of economic gains Industrial policy and the geopolitics of technological leadership The economics of innovation: decentralisation, scaling, and competitive advantage Ideal for Boards and C-suite leadership teams navigating AI investment decisions and long-term workforce strategy CHROs and transformation leads developing evidence-based frameworks for workforce planning under conditions of technological disruption Policy and public affairs functions in sectors facing direct automation exposure – financial services, professional services, manufacturing Strategy and scenario planning teams in organisations with significant AI or digital transformation programmes Audience outcomes A historically grounded framework for distinguishing automation that displaces workers from technology that expands what workers can do – and why the difference matters for investment decisions A working understanding of the “technology trap” mechanism: how to identify institutional resistance before it becomes strategically costly Concrete criteria for evaluating workforce and AI investment decisions against historical patterns of disruption, transition, and recovery Insight into the macro-economic and geopolitical conditions shaping AI adoption – including what the US-China competition for technological leadership means for business strategy Sharper language and stronger evidence for board-level conversations about AI, workforce, and long-term competitive positioning

Why organisations work with Bert Rürup He has held the top advisory seat in German economics. As chairman of the German Council of Economic Experts from 2005 to 2009, he advised the federal government on the macroeconomic questions boards now face in their own planning. His work is embedded in German statute. The “Rürup Commission” he chaired set the path for raising the statutory retirement age to 67, and the Rürup-Rente pension product is named after him. He runs an active research platform. As President of the Handelsblatt Research Institute since 2013 and Chief Economist of Handelsblatt since 2017, he produces a continuous read on European macro conditions that boards can pressure-test against their own assumptions. He connects demographics to the balance sheet. Few speakers translate pension, healthcare, and labour-supply shifts into the fiscal and wage-cost consequences that actually show up in corporate plans. Biography highlights Chairman of the German Council of Economic Experts, 2005-2009. Chairman of the 2002-2003 federal commission on the long-term financing of pension, health and long-term care insurance, known as the Rürup Commission. President of the Handelsblatt Research Institute since 2013; Chief Economist of Handelsblatt since 2017. Former Professor of Economics at Darmstadt University of Technology, with earlier chairs at the University of Essen. Chairman of the Social Advisory Council for Pension Insurance, 2000-2009. Recipient of the Commander’s Cross of the Order of Merit of the Federal Republic of Germany. Biography Germany’s pension architecture, labour supply, and fiscal outlook have been reshaped over the last two decades by a small number of expert commissions. Bert Rürup chaired the most consequential of them. The 2002-2003 federal commission he led on pensions, health and long-term care recommended the gradual rise of the statutory retirement age to 67, and gave its name to the Rürup-Rente, the state-subsidised private pension introduced in 2005. From 2005 to 2009 he chaired the German Council of Economic Experts, the country’s senior macroeconomic advisory body to the federal government. Before and after that role he sat on the Social Advisory Council for Pension Insurance, and on the Pension Reform Commission under Federal Minister Walter Riester. For boards trying to read German and European macro signals, the point is simple: he has been inside the rooms where those signals were shaped. Since 2013 he has led the Handelsblatt Research Institute, the research arm of Germany’s leading business daily, and since 2017 has been its Chief Economist. That platform keeps his work in weekly circulation among European senior management and investors, and gives corporate audiences a direct line into the macro debate as it is happening. His academic foundation sits at Darmstadt University of Technology, where he held a chair in economics, and earlier at the University of Essen. He holds an honorary doctorate and has been awarded the Commander’s Cross of the Order of Merit of the Federal Republic of Germany for his contribution to German economic policy. Key speaking topics German and European macroeconomic outlook Pension systems and the future of the welfare state Demographic change and its fiscal consequences Labour markets and workforce supply in Europe Public finance and fiscal policy The future of work in an ageing Europe Ideal for Boards and executive committees planning multi-year capital and workforce commitments in Europe CFOs, heads of reward, and pensions trustees reassessing long-term benefit liabilities Senior policy and government relations leaders in financial services, insurance, and industrial groups Investor conferences and strategy offsites that need a credible German macro view Audience outcomes A clearer reading of where German and European macro conditions are heading over the medium term A concrete sense of how demographic and pension policy shifts translate into labour cost and tax exposure Language senior audiences can use internally to talk about fiscal and welfare-state risk A view from inside the policy apparatus, not a commentator’s view of it

Why organisations work with Bernard Marr His frameworks for data strategy and AI adoption are grounded in peer-reviewed academic research from Cambridge and Cranfield – which means they hold up to internal scrutiny in ways that practitioner opinion rarely does. Business Trends in Practice, winner of the 2022 Business Book of the Year Award, gives executive audiences a shared, structured vocabulary for decisions that are otherwise made in fragmented, jargon-heavy conversations. His Forbes column reaches approximately one million readers a month – meaning his conceptual framing is often already in the room before he arrives, which accelerates rather than starts the conversation. He advises organisations across the full spectrum of sectors – from Google and Microsoft to the Bank of England, NATO and the NHS – which gives him a pattern-recognition advantage that single-sector specialists cannot replicate. Where most AI speakers address technology adoption as an IT problem, Marr consistently frames it as a governance and leadership problem – which is what boards and C-suites are actually wrestling with. Biography highlights Research Fellow, Cambridge Judge Business School; subsequently at Cranfield School of Management – before founding Bernard Marr & Co in 2006 Author of more than 20 books on AI, data strategy and digital transformation, published in over 20 languages Business Trends in Practice named Business Book of the Year 2022; additional awards include the CMI Management Book of the Year, Axiom Book Award and WHSmith Best Business Book Award Ranked by LinkedIn as one of the top 5 business influencers in the world Regular contributor to Forbes and the World Economic Forum; media presence includes BBC News, Sky News, the Financial Times, Wall Street Journal and HBR Advisory clients include Amazon, Google, Microsoft, the Bank of England, NATO, the NHS, Shell and the United Nations Biography Bernard Marr spent his early career as a research fellow at Cambridge Judge Business School and then at Cranfield School of Management, where his published work – cited more than 5,400 times – focused on business performance, intellectual capital and strategic measurement. In 2006 he left academia to found Bernard Marr & Co, taking that analytical infrastructure into advisory work with some of the world’s most complex organisations. His books – more than twenty of them, translated into over twenty languages – are not airport business books. Data Strategy, AI Strategy, Generative AI in Practice and Future Skills each address a specific executive decision: how to treat data as a governed asset, how to build an AI adoption roadmap, how to prepare a workforce for automation. Business Trends in Practice won the 2022 Business Book of the Year Award. His writing for Forbes, published at a rate of around three articles per week, gives those frameworks sustained reach into executive audiences between engagements. What makes Marr useful to a board is not that he explains technology well – many speakers do that. It is that he consistently reframes technology questions as governance questions: who owns the data strategy, how do we assess AI risk, what does leadership fluency in this area actually require? These are the questions that stall transformation programmes, and they sit above the pay grade of a CTO. His advisory work spans Google, Microsoft, Amazon, the Bank of England, NATO, the NHS, Shell and the United Nations – a range that gives him cross-sector pattern recognition that sector-specific specialists cannot replicate. The organisations that benefit most from his work are those where the executive team is technically literate enough to know they don’t know enough, and needs a structured way to close that gap. Key speaking topics AI strategy and adoption for executive leadership Data strategy and data governance Generative AI and its organisational implications Digital transformation and business performance Future of work and future skills Emerging technology trends and business impact Strategic performance management Ideal for C-suite and board-level audiences navigating AI and data investment decisions Chief Digital Officers, Chief Data Officers and technology transformation leads Senior leadership teams ahead of major digital transformation programmes Corporate and enterprise conference audiences requiring clarity on technology without technical fluency as a prerequisite Audience outcomes A working framework for evaluating AI and data investments – not just a description of what they are Clearer language for discussing technology strategy at board level, with less dependence on specialist intermediaries Understanding of which emerging technology trends carry genuine near-term organisational implications versus which are still speculative A more structured approach to data governance and the conditions under which data generates strategic advantage Insight into the skills and capabilities organisations will need to build – and which to acquire versus develop internally

Why organisations work with Arun Sundararajan He works inside the regulatory machinery his audiences are exposed to. Testimony to the US Congress, the European Parliament and the United Nations, plus a seat on the World Economic Forum’s AI Governance Alliance, means he can tell a board where AI rules are actually heading, not where the press thinks they are. His research asks a question most AI strategies skip: what part of “human capital” should remain owned by humans once a model has learned it. For any company building on or competing with generative AI, that question sits underneath copyright exposure, talent contracts and product liability at the same time. He separates durable economic shifts from cycle noise. The same economist who mapped the move to crowd-based capitalism in The Sharing Economy now tells executives which AI effects are structural and which are hype, a distinction worth real money in capital allocation. He advises both sides. He works with technology companies on strategy, litigation and regulation, and with non-tech boards on AI governance and foresight, so he understands the incentives of the firms building the infrastructure your business now depends on. Biography highlights Harold Price Professor of Entrepreneurship at NYU Stern and Director of its Fubon Center for Technology, Business and Innovation. Author of The Sharing Economy (MIT Press, 2016), winner of the Axiom Best Business Books Award and translated into five languages. Has given testimony on the digital economy and AI to the US Congress, the European Parliament and the United Nations. Member of the World Economic Forum’s AI Governance Alliance; former member of the Carnegie Council’s AI and Equality Initiative. Recognised with a Thinkers50 Radar Thinker Award, nine academic Best Paper awards and two Google Faculty Awards. Author of more than 40 op-eds across the New York Times, Financial Times, Guardian, Wired, Le Monde and Harvard Business Review, and a regular AI commentator for CNN, CNBC and Wired. Biography Generative AI learns to write, compose and design by training on work that people already made. That creates a problem older intellectual property law was never built for: a person’s past output is now also the blueprint for a machine that can reproduce their skill. Arun Sundararajan has made this the centre of his work, framing it as a single question for policymakers and boards: what facets of human capital should be owned by humans? The question carries weight because of where he asks it. As an economist at NYU Stern, Director of its Fubon Center for Technology, Business and Innovation, and a member of the World Economic Forum’s AI Governance Alliance, he has given testimony to the US Congress, the European Parliament and the United Nations. His paper “Rethinking Intellectual Property Law in an Era of Generative AI” lays out why copyright designed for the internet era misfires when the thing being copied is a creative process rather than a file. His authority on technological transitions is established. The Sharing Economy, published by MIT Press, was the early rigorous account of platforms like Uber and Airbnb displacing the managed corporation, and it won the Axiom Best Business Books Award. That track record matters now because the same economist is telling executives which AI effects are structural and which are noise, a judgment his recent work on the AI-capital-to-labour threshold makes concrete. What distinguishes him from the wider future-of-work field is the second half of his argument. Alongside the ownership question, he presses the case for national infrastructure that lets people move between occupations mid-career with dignity, treating workforce displacement as a design choice rather than an inevitability. For a board weighing how far to build on generative AI, he is the rare voice who can map both the legal claims forming underneath the technology and the economic settlement that will determine whether it holds. Key speaking topics AI governance and regulation Intellectual property and copyright in the age of generative AI Ownership of human capital The AI-driven future of work Platform strategy and network effects Antitrust and market power in technology Ideal for Boards and C-suites setting generative AI strategy, particularly where IP exposure, talent contracts or litigation risk are in play. Chief Legal Officers, General Counsel and Chief Strategy Officers navigating AI regulation across US, EU and Asian jurisdictions. Policymakers and regulators shaping AI, copyright and labour rules. Technology and platform companies setting strategy against a shifting governance backdrop. Audience outcomes A clear read on where AI regulation is actually heading across the major jurisdictions, from someone inside the bodies writing it. The ability to tell which AI effects on their industry are structural and which are cycle-driven hype. A sharper view of their company’s exposure on IP, copyright and the ownership of human capability. A framework for workforce planning that treats AI-driven displacement as something to design for, not absorb passively.

Why organisations work with Andrew McAfee His Geek Way framework – four named cultural norms (science, ownership, speed, openness) derived from evolutionary biology and management research – gives leadership teams a specific, testable diagnostic for why their organisations underperform digitally, not another instruction to move faster or fail more His research at MIT’s Initiative on the Digital Economy produces evidence-based findings on how AI and automation are actually affecting productivity and competitive structure – drawn from organisations that have already made the transition, not from modelled projections He holds simultaneous positions as MIT Principal Research Scientist, inaugural Visiting Fellow at Google’s Technology and Society group, and co-founder of Workhelix, an AI workforce optimisation startup – a combination that grounds his analysis in research, platform-scale practice, and operating reality at once The Second Machine Age and Machine, Platform, Crowd – both New York Times bestsellers co-authored with Erik Brynjolfsson – established the intellectual framework through which most serious organisations now think about automation, labour displacement, and platform competition; many executives in the room will be updating assumptions formed by those books He and Brynjolfsson are the only individuals named to both the Thinkers50 ranking of the world’s top management thinkers and the Politico 50 group of people transforming American politics – a dual recognition that reflects the reach of his work into the policy questions, not just the business questions, that will define the digital economy’s next decade Biography highlights Principal Research Scientist, MIT Sloan School of Management; co-founder and co-director, MIT Initiative on the Digital Economy Inaugural Visiting Fellow, Technology and Society, Google Co-founder, Workhelix (AI workforce optimisation startup) Six-time Thinkers50 honoree; Thinkers50 Digital Thinking Award 2015 with Erik Brynjolfsson; one of only two individuals named to both the Thinkers50 and the Politico 50 Author of The Geek Way (Economist Best Books 2023; Forbes Top 10 Business Books 2023) and More from Less; co-author of The Second Machine Age and Machine, Platform, Crowd (New York Times and Wall Street Journal bestsellers) Contributor to Foreign Affairs, Harvard Business Review, The Economist, The Wall Street Journal, and The New York Times; featured on CNN, 60 Minutes, TED, and the World Economic Forum Biography The gap between digital investment and digital performance is one of the most consequential – and least clearly explained – problems in business strategy. Andrew McAfee, Principal Research Scientist at MIT’s Sloan School of Management and co-founder of MIT’s Initiative on the Digital Economy, has spent three decades building the research base to explain it precisely. His 2023 book The Geek Way – named a best book of the year by both The Economist and Forbes – makes a specific argument: the companies consistently outperforming their sectors share four cultural norms (science, ownership, speed, openness), and those norms are not accidents of Silicon Valley geography but replicable patterns grounded in evolutionary science. Organisations that treat digital transformation as an infrastructure challenge, McAfee argues, are misidentifying the problem. The bottleneck is almost always managerial culture, not technology capability. That argument carries weight from multiple directions. McAfee is the inaugural Visiting Fellow at Google’s Technology and Society group and co-founder of Workhelix, an AI startup focused on workforce optimisation – positions that situate his MIT research in both platform-scale and operating practice. His earlier books with Erik Brynjolfsson – The Second Machine Age and Machine, Platform, Crowd, both New York Times bestsellers – established the frameworks that shaped how most serious organisations now think about automation, platform competition, and the economics of digital productivity. He and Brynjolfsson are the only individuals named to both the Thinkers50 ranking of the world’s top management thinkers and the Politico 50 group of people transforming American politics – a pairing that reflects how far McAfee’s work extends beyond corporate boardrooms into the policy questions about AI, labour, and economic growth that will define the decade ahead. Key speaking topics AI and digital business performance The Geek Way: cultural norms for the digital organisation Platform competition and digital business models Technology, productivity, and economic growth Machine intelligence and the future of work Dematerialisation and sustainable growth Organisational culture in the technology-driven enterprise Ideal for C-suite and board audiences evaluating digital strategy and competitive positioning against digital-native rivals Strategy and transformation leads in established industries under sustained digital disruption Innovation and R&D leaders benchmarking organisational culture against technology-sector performance models Executive education programmes on digital leadership, AI adoption, and future-of-work strategy Audience outcomes A clear account of why digital-native organisations outperform incumbents structurally – not through superior technology budgets but through specific, replicable management norms A practical diagnostic framework (The Geek Way: science, ownership, speed, openness) for identifying where organisational culture is constraining digital performance Evidence-based perspective on how AI and automation are actually affecting productivity and workforce structure, grounded in MIT research rather than market projections A more disciplined vocabulary for separating genuine digital transformation from technology investment that changes operating performance little Sharper thinking on platform competition and the long-term viability of traditional business models against digital-native challengers

Why organisations work with Andrew Grill He gives leadership teams a working vocabulary for AI, quantum, blockchain, and adjacent technologies, built on the 200+ concepts codified in “Digitally Curious” and tested on boards at Vodafone, Dell, Nestle, and the NHS. His engineering training and former IBM Global Managing Partner role mean technical claims hold up under scrutiny from a CTO, while the framing stays legible to a CFO or CHRO. Each session ends with the “Curious Five”, a concrete set of follow-up actions, so the room leaves with decisions to make rather than slides to forward. He has delivered five TEDx talks and advises at board level, so the same material scales from a 1,500-person keynote to a closed strategy session. Biography highlights Former Global Managing Partner, IBM Social Consulting Author, “Digitally Curious” (Wiley, 2024), international bestseller Host, the Digitally Curious Podcast, running since 2019 Named to the AI 100 UK List 2025 for responsible AI leadership Five TEDx talks delivered in London and Cardiff Non-Executive Director, Britain Australia Society Bachelor of Electronic Engineering plus two Master’s degrees (Engineering, MBA) Biography Every board now has AI on its agenda. Far fewer have a clear view of which decisions inside the business actually change because of it. Andrew Grill built his career in the gap between those two positions, first as a telecoms engineer at Optus and Telstra in Australia, then as Global Managing Partner in IBM’s Social Consulting practice, working with some of the largest enterprises in the world on how technology reshapes the way they operate. “Digitally Curious”, published by Wiley in 2024, is the distilled version of that experience. It walks executives through more than 200 technology concepts, from generative AI and quantum to blockchain and 5G, and ends every chapter with the Curious Five, a short set of concrete actions. The book reached international bestseller status and has become the spine of his keynote and advisory work. The podcast of the same name, running since 2019 with more than 60 interviews, gives him a working library of case material. That shows up in the room. Boards at Vodafone, Dell, Nestle, DHL, Sanofi, Bupa, and the NHS have brought him in for sessions that move from technology explanation to specific organisational choices, usually in the same hour. He has delivered five TEDx talks across London and Cardiff, appears regularly on BBC, Sky News, Channel 4, and in The Economist and Financial Times, and was named to the AI 100 UK List in 2025 for his work on responsible AI. The throughline is consistent: make the technology legible to the people who actually have to decide what to do about it. Key speaking topics Artificial intelligence and generative AI for business Digital transformation at board level Responsible AI and AI governance The future of work Emerging technology: quantum, blockchain, Web3 Customer experience in an AI-mediated economy Digital fluency for senior leaders Ideal for Boards and executive committees sequencing their AI strategy CIOs, CDOs, and transformation leads building internal buy-in for technology roadmaps CHROs and people leaders reshaping roles around AI-augmented work Industry conferences addressing senior commercial and technology audiences Audience outcomes A shared vocabulary across the executive team for AI, generative AI, and adjacent technologies A concrete short list of next actions, drawn from the Curious Five framework, tailored to the brief Sharper judgement on which vendor claims and use cases deserve investment and which do not A clearer view of where AI changes roles, processes, and customer experience inside their own organisation

Why organisations work with Andrés Oppenheimer His sector-by-sector analysis of automation’s job impact – developed through the same investigative methodology that produced a Pulitzer Prize – gives leadership teams a specific, evidence-built picture of workforce risk rather than a generalist technology forecast. “The Oppenheimer Report” column runs twice weekly across 60+ newspapers in the US and Latin America, meaning his read on political and economic shifts is drawn from live, primary reporting – not filtered retrospective analysis. He can address geopolitical risk and AI-driven workforce disruption in a single conversation, from a single credible position – organisations operating across the Americas do not need separate voices to cover both agendas. His television programme “Oppenheimer Presenta” on CNN en Español gives him direct, ongoing access to heads of state, finance ministers, and regional business leaders – a source network that shapes the quality and specificity of his intelligence. Nine books across four decades of reporting on Latin American competitiveness means his arguments carry empirical ballast: when he makes a forecast, he can point to the precedents it rests on. Biography highlights Latin America editor and syndicated foreign affairs columnist, The Miami Herald; “The Oppenheimer Report” appears twice weekly in 60+ US and international newspapers Anchor, “Oppenheimer Presenta,” CNN en Español – broadcast across 19+ countries in the US, Latin America and the Caribbean Co-winner, 1987 Pulitzer Prize, as part of the Miami Herald team that broke the Iran-Contra scandal Author of nine books, including The Robots Are Coming! (Vintage/Random House, 2019) and Innovate or Die! (2014), translated into Spanish, Portuguese, Japanese, Korean, and Chinese Awards include: Ortega y Gasset Award (El País, 1993), Maria Moors Cabot Award (Columbia University, 1998), King of Spain Award (2001), Overseas Press Club Award (2002) Master’s degree in Journalism, Columbia University; freelance contributor to The New York Times, The Washington Post, BBC, and CBS’ 60 Minutes Biography The Americas produce a particular kind of strategic risk – one where political instability, trade volatility, and currency pressure arrive together and faster than most organisations expect. Andrés Oppenheimer has spent four decades reporting from inside that complexity, as Latin America editor and syndicated foreign affairs columnist for The Miami Herald, with “The Oppenheimer Report” appearing twice weekly in more than 60 newspapers across the US and internationally. His investigative credentials are substantive. He was part of the Miami Herald team awarded the 1987 Pulitzer Prize for uncovering the Iran-Contra affair – a grounding in primary-source journalism that has shaped every argument he has made since. His awards from El País (Ortega y Gasset, 1993), Columbia University (Maria Moors Cabot, 1998), and the Spanish news agency EFE (King of Spain Award, 2001) confirm a standing in the Spanish-speaking world that extends well beyond the conference circuit. His book The Robots Are Coming! (Vintage/Random House, 2019) applied that same investigative rigour to the future-of-work debate. Oppenheimer interviewed Oxford economists, Silicon Valley engineers, and sector specialists across Japan, South Korea, Israel, and Europe to build a profession-by-profession account of what automation is actually doing to legal work, banking, medicine, and manufacturing – and what the evidence says about whether new industries will replace what is being lost. The earlier Innovate or Die! (2014) set out his argument that innovation capacity is the defining variable in national competitiveness in the knowledge economy. As anchor of “Oppenheimer Presenta” on CNN en Español, he interviews heads of state, policymakers, and business leaders across a region that remains both strategically critical and consistently misread by organisations operating from outside it. That combination – live political intelligence, investigative depth, and a published analytical framework on automation and competitiveness – is what distinguishes his contribution in a board conversation on international risk. Key speaking topics Geopolitics and political risk across the Americas AI, automation, and the future of work Latin American economic trends and competitiveness Innovation strategy in the knowledge economy The impact of automation on professional sectors Global economic forecasting and scenario analysis Ideal for C-suite and board-level leaders in organisations with commercial exposure or operations across Latin America and the Americas Risk, strategy, and policy leads navigating geopolitical uncertainty in international markets Senior leadership teams examining the intersection of AI-driven workforce disruption and macroeconomic risk Global business conferences and economic forums seeking analytical depth on hemispheric political and technological change Audience outcomes A clearer framework for understanding how geopolitical risk and automation interact as compounding – not separate – forces on competitive strategy Sector-specific insight into which professional roles and industries face the earliest automation pressure, grounded in published research rather than prediction A more accurate and current picture of Latin American political and economic dynamics, drawn from active reporting rather than retrospective analysis A working understanding of why innovation capacity determines national and organisational competitiveness in the knowledge economy Confidence to brief boards and senior colleagues on the forces reshaping international markets – with the evidence and context to withstand scrutiny

Why organisations work with Ade McCormack His Intelligent Organisation framework gives leadership teams a concrete diagnostic model for identifying the gap between their current design and one capable of sustained adaptiveness in volatile conditions. He draws on evolutionary biology, neuroscience, and anthropology rather than management theory alone, making his arguments for organisational change more durable and harder to dismiss as trend-following or consultancy-derived. His intellectual trajectory, from astrophysics and the European Space Agency to a decade as a Financial Times columnist on digital leadership, gives him credibility at both the technical and executive levels that most leadership speakers do not carry. He authored the E-Skills Manifesto for the European Commission and has advised at policy level on digital workforce readiness, meaning his perspective on talent and transformation extends beyond corporate practice into systemic consequence. His involvement in executive education at the Moller Institute, University of Cambridge and at MIT Sloan means his frameworks have been stress-tested against academic scrutiny and refined for senior leadership audiences, not just configured for conference delivery. Biography highlights Former columnist for the Financial Times on digital leadership for approximately a decade Lecturer at MIT Sloan School of Management on digital leadership Executive leadership development at the Moller Institute, Churchill College, University of Cambridge Founder of The Intelligent Organisation, a think tank focused on how organisations must evolve to remain viable under permanent disruption Author of six books including Biz 4.0, The E-Skills Manifesto (commissioned by the European Commission), and Beyond Nine to Five Advisor to the European Commission on digital skills and e-skills policy Astrophysics graduate; early career includes software engineering at the European Space Agency Biography When organisations describe their transformation programmes, they usually mean technology deployment: new platforms, new tools, upgraded infrastructure. What they less often examine is whether the management model operating underneath those tools was designed for conditions that no longer apply. This is the central tension in Ade McCormack’s work. Most organisations are optimised for industrial-era stability but the environment they now operate in rewards adaptation. McCormack began his career as a software engineer. Trained in astrophysics, with early work at the European Space Agency, his background shaped his ability to think in systems and across disciplines. His trajectory took him eventually to the Financial Times, where he wrote on digital leadership for close to a decade. He has since worked with senior executives at MIT Sloan and at the Moller Institute, University of Cambridge, bringing the same argument into formal leadership education. His Intelligent Organisation framework sets out a model for the shift from process-driven, efficiency-optimised organisations to what he describes as living organisms; adaptive, distributed, and built to sense and respond rather than plan and execute. He draws on evolutionary biology, neuroscience, and anthropology to build this case, developing concepts such as super-resilience, synthetic certainty, and the cognitive gymnasium. These are not rhetorical devices. They map specific structural and cultural moves that organisations can make to function in conditions where certainty is the exception. As founder of The Intelligent Organisation and author of six books, including the E-Skills Manifesto commissioned by the European Commission, McCormack’s work spans individual performance, organisational design, and policy. For executive audiences, the diagnosis he offers is one most are reluctant to reach on their own: that the management model they have inherited is not underperforming, it was simply never built for the era they are operating in. Key speaking topics Adaptive leadership and post-industrial organisation design The Intelligent Organisation model and super-resilience Digital transformation and the limits of technology deployment Future of work and the human-centric organisation Talent, cognitive performance, and the workforce of tomorrow Leadership in conditions of sustained volatility Organisational agility and living-systems thinking Governance in an increasingly volatile world Ideal for C-suite executives and boards leading large-scale transformation programmes in established organisations CHROs and people leaders rethinking workforce design, talent strategy, and culture in the context of accelerating disruption Transformation programme directors and change leads where incumbent operating models are under structural pressure Senior leadership development cohorts at business schools and executive education programmes Audience outcomes A working vocabulary; super-resilience, cognitive athletes, synthetic certainty, to reframe internal conversations about organisational change and leadership capability A concrete framework (the Intelligent Organisation model) for diagnosing the structural gap between a current operating model and one capable of sustained adaptiveness A reorientation of technology investment decisions: from efficiency gains to adaptiveness enablement Clarity on why conventional strategic planning is inadequate under conditions of permanent volatility, and what a more adaptive posture requires in practice An argument, grounded in biology and human performance science, for why putting people, not process, at the centre of organisational design is a competitive necessity, not a cultural preference