Artificial Intelligence & Generative AI

Why organisations work with Misiek Piskorski His proprietary multi-step framework reduces digital transformation to five or six sequenced decisions – giving leadership teams a replicable process to own and implement, not a theory to absorb and interpret. A Social Strategy (Princeton University Press, 2014) – the first book to use large-scale proprietary platform data to explain how companies build competitive advantage from social platforms – introduced three named diagnostic tests (social utility, social solution, and business value) that practitioners can apply to any platform investment decision. His transformation programmes are designed to span the full organisational hierarchy: CEO-level strategic advisory, top-team execution, middle-management education, and organisation-wide capability building – which means transformation logic does not stop at the boardroom door. As Co-Director of IMD’s AI Strategy and Implementation programme, he connects AI adoption directly to competitive strategy rather than treating it as a technology or operations question – giving executive teams a frame that boards can act on. Custom programmes delivered for organisations including Johnson & Johnson, Bayer, and the Asian Development Bank mean his frameworks have been stress-tested across industries and geographies, not built in one sector and applied to others by analogy. Biography highlights Professor of Digital Strategy, Analytics and Innovation and Dean of Executive Education, IMD Business School, Lausanne Previously Associate Professor of Business Administration in the Strategy Unit, Harvard Business School (ten years); prior faculty appointment at Stanford University Graduate School of Business Author of A Social Strategy: How We Profit from Social Media (Princeton University Press, 2014) – winner of the Axiom Business Book Awards Gold Medal, 2015 Research published in Administrative Science Quarterly, Harvard Business Review, Management Science, MIT Sloan Management Review, American Journal of Sociology, and Social Forces EFMD Excellence in Practice Gold Award 2019, Organisational Development category, for the Siam Commercial Bank digital transformation programme Co-Director, AI Strategy and Implementation programme, IMD; Programme Director, Developing Digital Transformation Strategies (IMD online) Associate Editor, Journal of Organization Design; editorial board member, Administrative Science Quarterly, Management Science, and Organization Science Biography Misiek Piskorski spent two decades studying why digital transformation succeeds or stalls – working first at Stanford’s Graduate School of Business and then at Harvard Business School before joining IMD in Lausanne in 2014. The answer, he argues, is almost never about technology. It is about the sequence of strategic decisions that determines how digital capabilities translate into competitive advantage. His book A Social Strategy (Princeton University Press, 2014) was the first to draw on proprietary data from platforms including Facebook and LinkedIn to explain the commercial mechanism behind social platforms. The argument – that companies must first help users meet social needs that cannot be satisfied offline before asking for any commercial return – won the Axiom Business Book Awards Gold Medal in 2015. Three diagnostic tests introduced in the book (social utility, social solution, and business value) give executive teams a practical tool for evaluating any platform investment. At IMD, his work is deliberately structured to span the full organisation. Custom programmes for Johnson & Johnson, Bayer, and the Asian Development Bank move from CEO-level strategy through top-team transformation projects to executive education for middle managers and digital learning at scale. As Co-Director of IMD’s AI Strategy and Implementation programme, he applies the same sequenced-decision logic to AI adoption – connecting implementation directly to competitive strategy. His research has appeared in Administrative Science Quarterly, Harvard Business Review, Management Science, and MIT Sloan Management Review. He received the EFMD Excellence in Practice Gold Award in 2019 for his collaboration with Siam Commercial Bank on digital transformation, and serves as Associate Editor of the Journal of Organization Design. Key speaking topics Platform strategy and competitive advantage Digital transformation decision frameworks AI strategy and enterprise-wide implementation Social platform economics and business value Data analytics and strategic decision-making Digital business model design Organisational digital capability building Ideal for CEOs and senior leadership teams navigating digital transformation at enterprise scale Chief Digital Officers and Chief Strategy Officers assessing platform and AI investment decisions Boards and executive committees evaluating digital readiness and competitive positioning CHROs and Learning & Development leaders designing organisation-wide digital capability programmes Audience outcomes A named, sequenced decision framework for planning and executing digital transformation across the organisation – not a conceptual model but a structured process Practical diagnostic tools (social utility, social solution, and business value tests) for evaluating whether a platform or digital investment is likely to create competitive advantage A clear model for distinguishing digital activity from digital strategy – and for identifying where current transformation efforts are likely to stall Understanding of how AI adoption decisions connect to competitive positioning rather than remaining isolated as technology or operations questions A working vocabulary for the five or six strategic decisions that determine whether transformation programmes deliver at scale

Why organisations work with Mike Walsh He works on the leadership and operating-model question that AI keynotes usually skip: who decides, with what data, supported by which machine systems, and what that means for org design. His thesis is published, not improvised. The Algorithmic Leader (Page Two, 2019) sets out ten principles for leading in the algorithmic age and has been translated into Chinese, Japanese, Korean, German, Polish and Russian. His next book, Abundant Intelligence, is being published by Harvard Business Review Press with Deloitte’s Global Head of AI Nitin Mittal, giving boards a current reference point on hybrid human and machine workforces. He brings in-the-room exposure to Fortune 500 reinvention programmes through Tomorrow, with named advisory work across the BBC, HSBC, Philips, Fujifilm, Richemont and Televisa. He writes for the audience he speaks to. As a regular Harvard Business Review columnist, his arguments are pressure-tested with the same readers buying him. Biography highlights CEO of Tomorrow, a global consultancy on designing companies for the 21st century. Author of The Algorithmic Leader (Page Two, 2019), translated into six languages. Forthcoming book Abundant Intelligence with Harvard Business Review Press, co-authored with Deloitte’s Global Head of AI, Nitin Mittal. Regular Harvard Business Review columnist; bylines in Inc., BusinessWeek, Forbes and the Wall Street Journal. Host of the Between Worlds podcast and the YouTube series The Future is Elsewhere. Founder of Jupiter Research in Asia Pacific and former senior strategy executive at News Corporation in the region. Biography Boards now buy AI tools faster than they redesign the organisations using them. The Algorithmic Leader, published by Page Two in 2019, was an early attempt to put that mismatch into a framework senior leaders could use, with ten principles for working in an environment where machine systems share the decision load. The book has since been translated into Chinese, Japanese, Korean, German, Polish and Russian. The work sits inside a longer career arc. Tomorrow, the consultancy Walsh founded in Hong Kong, advises CEOs and executive teams of multinationals including the BBC, HSBC, Philips, Fujifilm, Richemont and Televisa on reinvention in the algorithmic age. Earlier roles include founding Jupiter Research in Asia Pacific, an early tracker of e-commerce and digital business adoption, and senior strategy positions at News Corporation in the region. Publishing has been the spine of the practice. Futuretainment, published by Phaidon in 2009, won an Art Directors Club design award in New York. The Dictionary of Dangerous Ideas followed in 2014. As a regular Harvard Business Review columnist, with bylines in Inc., BusinessWeek, Forbes and the Wall Street Journal, Walsh writes for the same audience he advises and speaks to. The forthcoming work is where the operating-model question gets sharper. Abundant Intelligence, due from Harvard Business Review Press, is co-authored with Nitin Mittal, Deloitte’s Global Head of AI, and examines how organisations orchestrate hybrid human-and-machine workforces. The thread across the books, the consultancy and the keynotes is consistent: the leadership question, not the technology question, is the one boards keep underestimating. Key speaking topics Algorithmic leadership and decision-making AI agents and digital labour Designing organisations for the 21st century Disruptive innovation and new business models Digital ethics in machine-led decisions The future of work in an AI-driven economy Strategic foresight for senior leaders Ideal for Boards and executive committees setting AI strategy beyond pilots CEOs, COOs and Chief Strategy Officers redesigning operating models Chief AI Officers, Chief Digital Officers and transformation leads Leadership and learning programmes preparing senior cohorts for AI-era decision-making Audience outcomes A clearer language for the leadership question inside AI investment, not just the technology question A framework, drawn from The Algorithmic Leader, for ten shifts in how senior teams decide and operate Named cases of how multinationals are restructuring around hybrid human-and-machine work A sharper view of which executive habits, hiring patterns and decision rights age badly in an AI-driven business A working definition of digital labour and what it changes for org design, talent and accountability

Why organisations work with Mike Saunders His HumanCentric framework forces transformation teams to test technology decisions against the people who will or will not adopt them, which changes how budgets get allocated. He runs the agency he speaks from. Digitlab has delivered digital work for Vodafone, IBM, Toyota, KPMG and Bidvest, so the room hears practice from a live operator. He brings an emerging-market lens that most digital strategy speakers do not carry, drawn from running an agency in South Africa with delivery into the UK, Europe, US, Australia and Dubai. His Gear Analogy, developed for his TEDx Durban talk, gives leadership teams a working method for picking which ideas deserve real investment and which to drop. He pairs published frameworks with original sector research, including Digitlab’s annual Insight: State of Digital report on where customer behaviour, AI and martech are moving. Biography highlights CEO and Founder of Digitlab, a digital strategy agency with clients spanning South Africa, the UK, Europe, the US, Australia and Dubai. Author of HumanCentric: Technology Fails Unless It Means Something to Someone, which sets out a four-part model (explore, ideate, intersect, create) for human-centred digital transformation. TEDx Durban speaker on Gearing for Greatness: Your Ideas, Your Impact, introducing the Gear Analogy for idea evaluation and execution. Opening chapter author in Doers & Dreamers, a global business compendium also featuring Seth Godin, Tim Ferriss and Brian Chesky. Founder of the Digitlab Academy in partnership with Vega School of Branding, training over 1,000 marketers a year. Awarded Special Honours at the New Generation Awards for contribution to the digital industry; named among “Top Global Digital Marketing Experts & Influencers” (2019). Biography Most digital transformation programmes still get sold to boards as technology projects. The investment lands and the adoption that was supposed to follow does not. The gap is where commercial returns disappear. This is the gap that Saunders has spent more than fifteen years working in. As CEO of Digitlab, the South African agency he founded, he has run digital programmes for Vodafone, IBM, Toyota, KPMG and Bidvest. He argues that technology fails unless it means something to someone, and that digital is a people conversation that happens to run on technology. His book HumanCentric: Technology Fails Unless It Means Something to Someone sets out the four-part model he uses with clients: explore, ideate, intersect, create. Each phase forces a transformation team to test technology decisions against the human stakeholders who will or will not adopt them. It functions as a working framework, and it shows up in his keynote work as practical structure for leadership audiences. His TEDx Durban talk Gearing for Greatness introduced the Gear Analogy, a tool for evaluating which ideas to back and which to drop. He contributed the opening chapter of Doers & Dreamers, the global business book that also features Seth Godin, Tim Ferriss and Brian Chesky. Each year, Digitlab publishes its Insight: State of Digital report mapping where customer behaviour, AI, search and martech are actually moving. Key speaking topics Human-centred digital transformation Customer experience and digital strategy AI and data-driven marketing Marketing technology and innovation Digital consumer behaviour The Fourth Industrial Revolution in business Ideal for CMOs and digital marketing leaders running transformation or martech programmes CEOs and CDOs are accountable for digital strategy and adoption outcomes Boards and executive teams setting commercial AI and data direction Marketing, sales and IT leadership teams are trying to align around shared revenue outcomes Audience outcomes A working framework for testing digital decisions against the real people who will or will not adopt them A method for separating ideas worth backing from ideas worth abandoning, drawn from the Gear Analogy Specific signals on what is shifting in customer behaviour, AI, search and martech, drawn from Digitlab’s annual State of Digital research A view of how marketing, sales and IT teams should align around a single revenue model

Why organisations work with Michio Kaku An active research physicist and co-founder of string field theory, not a commentator translating other people’s science. The substance underneath the foresight is his own. A read on AI, quantum computing and biotechnology that is grounded in physical constraints, useful for boards trying to test the credibility of internal technology roadmaps. A track record of corporate keynotes for Microsoft, Cisco, Morgan Stanley, HSBC, Sony, GE, Siemens and SAP, meaning he has briefed senior leadership in sectors with very different technology assumptions. The Henry Semat Chair at CCNY and four New York Times bestsellers give him a level of public authority that travels across investor days, leadership offsites and customer events. Biography highlights Henry Semat Chair in Theoretical Physics, City College of New York and CUNY Graduate Center. Co-founder of string field theory; PhD, UC Berkeley; AB, Harvard, summa cum laude. Author of four New York Times bestsellers including The God Equation and The Future of the Mind. Most recent book: Quantum Supremacy (2023). Host of Science Fantastic, a nationally syndicated US science radio show; presenter of science series for BBC and Discovery Channel. Contributor to Time, Wall Street Journal, Scientific American, Wired, New Scientist and the New York Times. Keynote speaker for Microsoft, HP, Cisco, HSBC, Morgan Stanley, Sony, GE, Siemens, SAP, L’Oreal, Walt Disney and Barclays, among others. Biography Most corporate strategy processes work in three to five year horizons. The technologies most likely to reshape those strategies, including quantum computing, advanced AI, brain-machine interfaces and fusion energy, will mature on much longer timelines and from physical principles most boards never have cause to revisit. Michio Kaku is one of the few public scientists with the standing to brief senior leadership on that gap. He holds the Henry Semat Chair in Theoretical Physics at City College of New York, where he has taught for over four decades, and he is a co-founder of string field theory, a working contribution to the search for a unified description of the fundamental forces. Alongside his research, Kaku has built a parallel public role. Four of his books, Physics of the Impossible, Physics of the Future, The Future of the Mind and The God Equation, have been New York Times bestsellers, and his most recent, Quantum Supremacy, sets out what quantum computing will and will not do for medicine, materials and AI. He hosts Science Fantastic, a nationally syndicated US science radio programme, and has presented science series for the BBC and Discovery Channel. For corporate audiences he has keynoted for Microsoft, Cisco, HSBC, Morgan Stanley, Sony, GE, Siemens and SAP, among others. The reason buyers keep returning to him is straightforward: they want a physicist’s read on which long-horizon technologies are real, on what timeline, and at what cost. Key speaking topics Quantum computing and its commercial implications Artificial intelligence in medicine, finance and pandemic response The next two decades of technology and the economy The physics of long-horizon innovation Brain-machine interfaces and the future of the mind The search for a unified theory and what it means for computing Science communication for senior audiences Ideal for Boards and executive committees making long-horizon technology and capital allocation decisions CEO and CTO leadership offsites focused on AI, quantum and biotechnology roadmaps Investor days, customer events and flagship conferences in technology, financial services, industrials and pharma Strategy and innovation teams testing internal assumptions against external scientific reality Audience outcomes A clearer view of which emerging technologies are bounded by physics and which are bounded by engineering effort A working sense of what quantum computing will and will not change in finance, materials and drug discovery A read on AI’s near-term and long-horizon trajectory from a physicist rather than a vendor Reference points for stress-testing internal technology and innovation roadmaps A vocabulary for senior leaders to discuss long-range science with their own technical teams

Why organisations work with Michael Wade He runs IMD’s AI Maturity Index, which evaluates the 300 largest companies in the Forbes Global 2000 on how they have actually embedded AI across executive support, infrastructure, operations, workforce and ethics. The data behind it gives him a view of corporate AI adoption that is not available to the wider speaker market. The Digital Vortex framework, introduced in his 2017 Axiom Business Book Award winner and updated through IMD’s ongoing research, gives strategy teams a way to map how fast each industry is being pulled toward digital disruption. His books work as operating manuals. Hacking Digital and Orchestrating Transformation give boards and Chief Digital Officers structured playbooks for sequencing change, drawn from custom programmes with Vodafone, AXA, Credit Suisse, Nestle and Cartier. He founded and directs Leading Digital and AI Transformation at IMD, Europe’s first and largest executive programme on digital and AI. Many of the leaders setting the agenda inside their own boards have already been through his classroom. Biography highlights Professor of Strategy and Digital at IMD Business School in Lausanne and holder of the TONOMUS Professorship in Digital and AI Transformation Director of IMD’s TONOMUS Global Center for Digital and AI Transformation, which publishes the annual AI Maturity Index of the largest companies in the Forbes Global 2000 Co-author of Digital Vortex (winner of the 2017 Axiom Business Book Award), Orchestrating Transformation, Hacking Digital, ALIEN Thinking, Twin Transformation and GAIN: Demystifying GenAI Published in Harvard Business Review, MIT Sloan Management Review, MIS Quarterly and Strategic Management Journal; regular contributor to Fortune and Forbes Inducted into the Swiss Digital Shapers Hall of Fame in 2021 by Bilanz, Handelszeitung, Le Temps and Digitalswitzerland; named one of Switzerland’s top 10 digital thought leaders in 2016, 2017 and 2020 Hosts the IMD podcasts Management Under the Microscope and Mike & Amit Talk Tech; has designed custom executive programmes for Vodafone, AXA, Credit Suisse, Nestle, Cartier and others Biography Most digital and AI transformations do not fail at the technology layer. Research at IMD puts the failure rate around 87%, and the bottleneck almost always sits elsewhere. It is in the gap between the system that has been bought and the operating model that has to absorb it. Wade has spent two decades inside that gap. He is Professor of Strategy and Digital at IMD Business School in Lausanne, where he holds the TONOMUS Professorship and directs the school’s Global Center for Digital and AI Transformation. The Center’s AI Maturity Index ranks the 300 largest companies in the Forbes Global 2000 on how they have embedded AI in production. It is one of the few public benchmarks that separates companies running AI at scale from those still in pilot. Digital Vortex, the 2017 Axiom Business Book Award winner, gave executives a way to measure how fast their industry was being pulled toward digital disruption. Orchestrating Transformation and Hacking Digital followed with playbooks for what to do once that velocity is clear. Twin Transformation and GAIN, both published in 2025, extend the same discipline into AI and sustainability. The pattern is consistent: books written for the executive who has to deliver the change. In 2021, the Swiss media consortium Bilanz, Handelszeitung, Le Temps and Digitalswitzerland inducted him into its Digital Shapers Hall of Fame. He had been named one of Switzerland’s top 10 digital thought leaders three times before that. Boards still book him because he has taught their peers and run custom programmes for companies they benchmark against, including Vodafone, AXA, Credit Suisse and Nestle. Key speaking topics Digital and AI transformation Enterprise AI adoption at scale Industry disruption and competitive strategy The AI-augmented executive Innovation and breakthrough thinking Organisational agility and resilience Ideal for Boards and executive committees overseeing digital and AI strategy Chief Digital Officers and Chief AI Officers responsible for end-to-end transformation CEOs and senior leadership teams making capital allocation decisions on AI and technology Strategy and innovation leaders inside companies that are mid-transformation and need to course-correct Audience outcomes A specific read on where their organisation sits on the AI maturity dimensions, and what separates companies running AI in production from those still in pilot A working language for the gap between digital ambition and execution that boards and senior leaders can use in their own conversations A revised view of which industries are most exposed to digital disruption, and where defensive strategy and offensive moves should sit in the response A way to frame AI investment as an organisational change problem, with the operating model and leadership decisions as the binding constraint

Why organisations work with Michael Spence Few people in the world can translate frontier economic theory into language a board can act on. His 1973 paper on signalling is foundational to information economics; he brings the same rigour to current questions about growth and capital allocation. He chaired the Commission on Growth and Development from 2006 to 2010. Its Growth Report directly shaped how the World Bank and major development institutions approach long-term growth strategy. That policy depth is in the room when he speaks. As Chairman of the GA Global Growth Institute at General Atlantic, he is one of very few academic economists actively engaged in live capital allocation decisions. Boards get a perspective that has been pressure-tested against real investment choices. His analysis of China, India, and the developing world draws on direct engagement, including a co-chair role at the Asia Global Institute in Hong Kong. His 2023 book Permacrisis, written with Gordon Brown and Mohamed El-Erian, gives organisations a current, public-facing argument about cascading global risks and the policy choices that could break the cycle. Biography highlights 2001 Nobel Memorial Prize in Economic Sciences, shared with George Akerlof and Joseph Stiglitz, for work on markets with asymmetric information. John Bates Clark Medal (1981) from the American Economic Association. William R. Berkley Professor in Economics and Business at NYU Stern; Dean Emeritus of Stanford Graduate School of Business; former Dean of Harvard’s Faculty of Arts and Sciences. Chaired the Commission on Growth and Development (2006 to 2010), the independent international body whose Growth Report shaped how the World Bank and IMF approach development strategy. Senior Advisor to General Atlantic and Chairman of the GA Global Growth Institute; Senior Fellow at the Hoover Institution; Distinguished Visiting Fellow at the Council on Foreign Relations. Co-author of Permacrisis (Simon & Schuster, 2023, with Gordon Brown and Mohamed El-Erian) and author of The Next Convergence (Farrar, Straus and Giroux, 2011); long-standing Project Syndicate columnist. Biography In 2001 the Nobel committee recognised a 1973 paper. Michael Spence’s work on signalling reshaped how economists think about markets where buyers and sellers do not have the same information. That is most of the markets corporate strategists care about. From 2006 to 2010, Spence chaired the Commission on Growth and Development. The Growth Report it produced is still cited inside the World Bank, the IMF, and finance ministries across the developing world. It remains a touchstone for how senior policymakers approach long-term growth strategy in developing economies. His current focus sits at the meeting point of macroeconomics and capital allocation. As Chairman of the GA Global Growth Institute at General Atlantic, he sits inside one of the world’s largest growth equity firms. He helps the firm think through how technology and geopolitics now shape where capital can productively flow. His 2023 book Permacrisis, written with Gordon Brown and Mohamed El-Erian, took the same argument to a wider audience. His Project Syndicate column, running since 2008, lands on the desks of senior policymakers and institutional investors. Recent essays have covered single points of failure in global supply chains, AI adoption in emerging markets, and why open markets often fail to produce homegrown tech champions outside the US and China. Key speaking topics Global economic growth and structural change Information economics and decision-making under uncertainty Emerging markets and the rise of Asia Capital allocation in a fragmented global economy Trade, supply chains, and geopolitical risk Technology, AI, and the future of productivity Climate, energy transition, and sustainable growth Ideal for CEOs, Group Strategy Officers, and CFOs setting capital allocation across global markets Boards and non-executive directors with multi-region exposure Ministers of finance and economy, central bankers, and senior policymakers in international institutions Institutional investors, asset managers, and growth equity teams setting long-horizon allocations Audience outcomes A sharper internal articulation of what has actually changed about growth, inflation, and trade since 2008. A working sense of how emerging markets and Asia are actually growing, drawing on direct engagement with policymakers and capital markets in those regions. A grounded view of where AI and the green transition will and will not reshape productivity at country and sector level. A current reading of the cascading risks set out in Permacrisis, including the policy choices that could break the cycle.

Why organisations work with Michael Solomon His textbook Consumer Behavior: Buying, Having, and Being is the most widely adopted course text on the subject worldwide, which means the conceptual vocabulary used by a generation of marketers traces back to his work. He has advised Calvin Klein, Levi Strauss, Under Armour, BMW, Procter & Gamble, eBay, and United Airlines on consumer psychology applied to brand, retail, and product decisions. He brings academic discipline to fast-moving commercial questions: AI consumer trust, avatar identity, metaverse engagement, and post-pandemic spending behaviour, all grounded in published research. Holder of the Dirk Warren ’50 Sesquicentennial Chair at Saint Joseph’s University and recognised among the ten most productive scholars in advertising and marketing communications. Regular Forbes.com contributor, with commentary picked up by The New York Times, USA Today, The Wall Street Journal, Adweek, and Time, giving clients a speaker whose framing is already in market. Biography highlights Dirk Warren ’50 Sesquicentennial Chair and Professor of Marketing, Haub School of Business, Saint Joseph’s University. Author of more than thirty books, including the global bestselling textbook Consumer Behavior: Buying, Having, and Being and The New Chameleons. Former faculty at NYU, Rutgers, Auburn University, and the University of Manchester. Forbes.com contributor; commentary in The New York Times, Wall Street Journal, USA Today, Adweek, Time, and on Today, Good Morning America, and CNN. Cutty Sark Men’s Fashion Award recipient for research on the psychology of clothing. Client roster spanning Calvin Klein, Levi Strauss, Under Armour, BMW, P&G, eBay, Subaru, United Airlines, Microsoft Advertising, and the U.S. Army. Biography The textbook that trained a generation of marketers in consumer behaviour, Buying, Having, and Being, sits on Michael Solomon’s CV. So does a Forbes column read by the executives who now run those marketers’ employers. That dual position, academic standard-setter and commercial commentator, is what brings serious brands to him for strategic reads on customer psychology. Solomon holds the Dirk Warren ’50 Sesquicentennial Chair at Saint Joseph’s University’s Haub School of Business, with prior faculty posts at NYU, Rutgers, Auburn, and the University of Manchester. His PhD in social psychology from UNC Chapel Hill anchors a research career that has placed him among the ten most productive scholars in advertising and marketing communications, and the fifteen most cited in behavioural sciences and fashion. The applied work is where the academic record converts into commercial value. Solomon has advised Calvin Klein, Levi Strauss, Under Armour, BMW, Procter & Gamble, eBay, Subaru, and United Airlines on questions of brand identity, customer experience, and category disruption. His current speaking work centres on consumer trust in AI and avatars, the post-pandemic spending psychology he frames as G.A.S., and the dissolution of traditional consumer categories he treats in The New Chameleons. For senior marketing, brand, and customer-experience leaders, the value is access to a thinker who can defend a claim about consumer behaviour from the underlying psychology, then translate it into a brand or product decision a board can act on. Key speaking topics Consumer psychology and decision-making Brand identity and customer experience Marketing implications of AI, avatars, and the metaverse Fashion psychology and the symbolic meaning of products Post-pandemic consumer behaviour Retail disruption and category evolution Cross-cultural consumer meaning-making Ideal for CMOs and brand directors rebuilding strategy after segmentation models stop working Retail and consumer goods leadership teams confronting category disruption Customer experience and insight leads in financial services, automotive, apparel, and FMCG Boards of consumer-facing businesses assessing exposure to AI-mediated commerce Audience outcomes A sharper read on the psychology driving current consumer switching, loyalty, and category exit. Specific frameworks for thinking about AI and avatars in brand and retail experience, not generic technology commentary. Named research and case examples that senior marketers can cite internally to defend a strategic shift. A more rigorous internal vocabulary for consumer behaviour, drawn from the academic standard text in the field.

Why organisations work with Michael G Jacobides He is the academic most directly associated with ecosystem strategy as a formal discipline. His Strategic Management Journal paper “Towards a Theory of Ecosystems” is one of the most-read articles the journal has published, and is the reference point others build on. He gives leadership teams a working language for a question they keep asking badly. Are we an orchestrator, a complementor, or a component, and what does each role earn under AI. His policy work gives the room a regulatory lens most strategy speakers cannot offer. He served as Chief Expert Advisor on the Digital Economy to the Hellenic Competition Commission and contributes to the World Economic Forum’s AI Governance Alliance. He has been ranked on the Thinkers50 list of the world’s top 50 management thinkers in four consecutive cycles since 2019, which is the credential boards recognise without needing to be briefed. His advisory base, BCG Henderson Institute and Evolution Ltd, keeps the content tested against live corporate decisions rather than against the conference circuit. Biography highlights Sir Donald Gordon Professor of Entrepreneurship and Innovation and Professor of Strategy, London Business School. Thinkers50 ranked management thinker in 2019, 2021, 2023 and 2025; Strategy Award shortlist, 2019. Co-Editor, Industrial and Corporate Change. Author of “Towards a Theory of Ecosystems” (Strategic Management Journal) and “How to Compete When Industries Digitize and Collide” (California Management Review, article-of-the-year). Academic Advisor to the BCG Henderson Institute; Lead Advisor of Evolution Ltd; contributor to the World Economic Forum’s AI Governance Alliance. Former Chief Expert Advisor on the Digital Economy, Hellenic Competition Commission. Visiting Scholar, Federal Reserve Bank of New York. Regular contributor to Harvard Business Review, MIT Sloan Management Review, Financial Times and Forbes; commentator for BBC and CNN. Biography The boundary between industries is no longer the boundary between competitors. A bank now competes with a phone, a car company with a software platform, a retailer with an ad network. Jacobides has spent two decades building the academic framework that explains this, and turning it into language strategy teams can use. His paper “Towards a Theory of Ecosystems” in the Strategic Management Journal is the reference point most other ecosystem writing now builds on. The follow-up in California Management Review, on competing as industries digitise and collide, won the journal’s article-of-the-year and is widely used inside corporate strategy functions. The work is academic in origin and operational in use. That dual register is the reason boards book him. He holds the Sir Donald Gordon Chair at London Business School, co-edits Industrial and Corporate Change, and has been ranked on the Thinkers50 list of the world’s top management thinkers across four cycles. He also advises the BCG Henderson Institute, leads the advisory boutique Evolution Ltd, and contributes to the World Economic Forum’s AI Governance Alliance. His former role as Chief Expert Advisor on the Digital Economy to the Hellenic Competition Commission means he reads platform and AI regulation as a participant, not a spectator. What a senior buyer gets in the room is a strategist who can take an executive team from “AI is reshaping our industry” to a specific decision about where in the new value architecture the firm should sit, what it should orchestrate, what it should cede, and what regulators will let it own. Key speaking topics Ecosystem strategy and value migration Generative AI and competitive advantage Digital platforms and industry convergence Orchestrator, complementor and component positioning AI governance and competition policy Business model reinvention under digital disruption Boardroom strategy in technology-driven industries Ideal for Boards and group executive committees redrawing strategy as AI and platforms reshape their industry Chief Strategy Officers, Chief Digital Officers and Heads of Corporate Development assessing ecosystem positioning Banking, telecommunications, FMCG, healthcare and industrial leadership teams facing convergence pressure Private equity and investor audiences pricing platform exposure and ecosystem risk Audience outcomes A working vocabulary for ecosystem roles: orchestrator, complementor, component, and what each earns A clearer view of where AI shifts value inside the audience’s specific industry, not in general A framework for testing current strategy against the way industry boundaries are actually moving Sharper questions for the next board strategy session on platform exposure and regulatory risk A read on how competition policy and AI governance will constrain the playing field

Why organisations work with Michael Cusumano He wrote the book leaders cite when they argue about platform strategy. The Business of Platforms, with Gawer and Yoffie, is the reference text for how Apple, Amazon, Google, and Microsoft built their positions, and where new entrants can still find leverage. He has spent three decades studying how software companies actually make money, from Microsoft Secrets through The Business of Software to current work on generative AI as the next platform layer. He bridges Western and Japanese industry. Two Fulbright Fellowships, ten years working in Japan, and a former dean role at Tokyo University of Science give him a working view of competitive dynamics across both markets. He is operator-adjacent. Roughly 100 consulting engagements with organisations including NASA, the World Bank, and the Bank of England, plus a dozen public-company board seats, mean the framework is pressure-tested against real strategic decisions. Biography highlights SMR Distinguished Professor of Management at MIT Sloan; Faculty Director of the Martin Trust Center for MIT Entrepreneurship; Co-Director of the MIT System Design and Management Program. Author or co-author of 14 books, including The Business of Platforms (2019), Strategy Rules (2015), Staying Power (2010), Platform Leadership (2002), and Microsoft Secrets (1995). Strategy Rules has been translated into 18 languages; Microsoft Secrets into 14. Writes the Technology Strategy and Management column for Communications of the ACM; former editor-in-chief and chairman of MIT Sloan Management Review. Recipient of the 2019 Abbie Griffin High Impact Award from the Journal of Product Innovation Management; IEEE Software 25th-Anniversary Top Pick. Princeton (BA), Harvard (PhD); two Fulbright Fellowships; former Special Vice President and Dean of Entrepreneurship and Innovation, Tokyo University of Science. Biography Platform businesses follow a different physics from product businesses. The companies sitting at the top of every market-cap league table, Apple, Amazon, Microsoft, Google, Meta, did not get there by selling better products. They built two-sided markets, opened controlled access to complementors, and used network effects to compound advantage. Cusumano’s work, with Annabelle Gawer and David Yoffie, is the reference scholarship on why this works and when it does not. His position at MIT Sloan reflects three decades of close study of the software industry. Microsoft Secrets, written with Richard Selby in 1995, was the first inside account of how a software company actually shipped product at scale. Platform Leadership followed in 2002, naming the pattern Intel, Microsoft, and Cisco had used to organise entire industries around themselves. The Business of Platforms, in 2019, extended the argument into the era of Amazon, Google, and Apple, separating what worked from what failed. He is also one of the few strategy scholars who can credibly write about Silicon Valley and Tokyo in the same paragraph. Two Fulbrights, ten years working in Japan, a former dean role at Tokyo University of Science, and fluent Japanese have produced a comparative view of how Western and Asian firms approach scale, software, and ecosystem competition. The 2019 Abbie Griffin High Impact Award and an IEEE Software 25th-Anniversary Top Pick recognise the influence of that work inside the academic and engineering communities. The current focus is generative AI as a new platform for applications development, which he argues will redraw competitive lines in software again, this time around model providers, infrastructure layers, and application developers. For boards trying to read where value will sit in the next stack, that is the live question, and the framework he has spent thirty years sharpening is the one being applied to it. Key speaking topics Platform strategy and ecosystem competition The economics of software businesses Generative AI as a platform layer Digital strategy in winner-take-most markets Innovation and entrepreneurship inside large firms Competing across US and Japanese technology markets Lessons from Bill Gates, Andy Grove, and Steve Jobs Ideal for Boards and executive committees stress-testing platform or ecosystem strategy CSOs and corporate development leaders evaluating how generative AI reshapes competitive position Technology and product leadership at firms moving from product to platform models CEO summits and senior leadership programmes covering digital strategy and software economics Audience outcomes A working framework for deciding when to compete as a product and when to open a platform. A clear read on why some platforms compound and others collapse, with the named cases that prove the pattern. Sharper questions to bring to AI strategy debates, focused on where value accrues across the stack. A comparative view of how leading US and Japanese firms have built and defended platform positions.

Why organisations work with Max Tegmark He sits at the centre of the global AI safety conversation. As President of the Future of Life Institute, he organised the 2023 “Pause Giant AI Experiments” open letter signed by Yoshua Bengio, Stuart Russell, Elon Musk and more than 30,000 others, and FLI’s policy work fed directly into the EU AI Act. He brings a working physicist’s discipline to AI claims, not a commentator’s. His MIT research group studies the physics of intelligence itself, which lets him tell a board what current systems can and cannot do without selling either fear or excitement. He has shaped how non-specialists think about AI through a New York Times bestseller. Life 3.0 framed the alignment problem and the long-run scenarios for governments, executives and the public, and remains a reference point for senior policy and corporate audiences. He is one of the few speakers TIME placed on its inaugural TIME100 AI list whose authority rests on peer-reviewed research rather than commercial position. He talks to leaders the way he talks to physicists. Specific mechanisms, named risks, concrete governance options, no jargon stack. Biography highlights Professor of Physics, Massachusetts Institute of Technology Co-founder and President, Future of Life Institute Author, Life 3.0: Being Human in the Age of Artificial Intelligence (Knopf, 2017), New York Times bestseller Author, Our Mathematical Universe: My Quest for the Ultimate Nature of Reality (Knopf, 2014) Named to TIME100 AI, the inaugural TIME list of the 100 most influential people in artificial intelligence Fellow of the American Physical Society; Packard Fellow; Royal Swedish Academy of Engineering Science Gold Medal (2019); contributor to the Sloan Digital Sky Survey Biography The 2023 open letter calling for a six-month pause on training AI systems more powerful than GPT-4 was the moment AI safety stopped being a niche concern and became a board-level question. The letter was organised out of the Future of Life Institute. Its president is Max Tegmark. Tegmark is a Professor of Physics at MIT whose research moved from precision cosmology, including significant work on the Sloan Digital Sky Survey, to the physics of intelligence itself. That trajectory matters. He approaches AI not as a technology commentator but as a working scientist asking what these systems are, what they can be made to do safely, and where the limits of current understanding sit. Through the Future of Life Institute, which he co-founded with Anthony Aguirre, Tegmark has built one of the most consequential policy voices in AI. FLI’s work shaped key provisions of the EU AI Act, and the 2023 pause letter, signed by Yoshua Bengio, Stuart Russell, Elon Musk, Steve Wozniak and Yuval Noah Harari among more than 30,000 others, reframed the global conversation about frontier model risk. His writing carries the same authority into a wider audience. Life 3.0 became a New York Times bestseller and remains a reference text for leaders trying to understand what alignment means and why it is hard. Our Mathematical Universe, published by Knopf in 2014, lays out his case that physical reality is, at the deepest level, a mathematical structure. He was named to TIME’s inaugural TIME100 AI list in 2023, awarded the Royal Swedish Academy of Engineering Science Gold Medal in 2019, and elected Fellow of the American Physical Society for his contributions to cosmology. Key speaking topics Frontier AI capability and risk AI governance and regulation AI safety and alignment The future of work in an age of capable AI Existential risk and transformative technology Cosmology and the nature of reality Physics of intelligence Ideal for Boards and executive teams setting AI strategy and governance Policy, regulatory and public-sector leaders working on AI rules Chief Technology Officers, Chief AI Officers and heads of research Investor and academic audiences engaging with frontier technology Audience outcomes A clearer view of what current AI systems can and cannot do, separated from vendor and media framing A working mental model of the alignment problem and why frontier-model governance is hard Concrete reference points from the EU AI Act and the FLI policy agenda for corporate AI policy Sharper questions to put to internal AI leads, vendors and external advisers A scientifically grounded sense of which long-run AI scenarios are plausible and which are not

Why organisations work with Martin Baily He has held the chair that briefs a US president on the economy. Few speakers can describe how macro policy, financial regulation and productivity actually intersect from inside that seat. His current Brookings work with Federal Reserve Board economists on generative AI as a general-purpose technology gives boards a sober, evidence-led read on the productivity case, distinct from vendor and consultancy framing. Twenty years inside the McKinsey Global Institute on cross-country productivity research means he can tell a European board how its growth problem differs from the US one, with the data to back it. As co-chair of the Bipartisan Policy Center’s Financial Regulatory Reform Initiative and a member of the Squam Lake Group, he reads the financial regulation agenda the way an operator does, not the way a lobbyist does. His written record, from “Innovation and the Productivity Crisis” to “Transforming the European Economy”, gives clients a referenceable thesis, not a deck. Biography highlights Chairman, President’s Council of Economic Advisers, 1999 to 2001, and Cabinet member under President Bill Clinton. Senior Fellow Emeritus, Brookings Institution; Bernard L. Schwartz Chair in Economic Policy Development. Co-author, “Transforming the European Economy” (Peterson Institute, 2004), Choice Outstanding Academic Title 2005. Co-author, “Innovation and the Productivity Crisis” (Brookings Institution Press, 1988). Principal, McKinsey & Company’s Global Institute (1996 to 1999); senior advisor to the McKinsey Global Institute since 2002. Co-chair, Financial Regulatory Reform Initiative, Bipartisan Policy Center; senior advisor, Albright Stonebridge Group. Biography Productivity growth is the variable that decides whether wages can rise, debt is sustainable, and capital earns a return. It has been weak across most advanced economies for two decades, and the explanation is contested. Martin Baily has spent his career inside that contest, from the White House, from McKinsey’s Global Institute, and from Brookings. He chaired President Clinton’s Council of Economic Advisers from 1999 to 2001 and sat on the Council from 1994. He holds the Bernard L. Schwartz Chair in Economic Policy Development at Brookings and is a senior advisor to the McKinsey Global Institute, where he was a principal in the late 1990s during the Institute’s foundational comparative productivity work. His co-authored books, “Innovation and the Productivity Crisis” with Alok Chakrabarti and “Transforming the European Economy” with Jacob Funk Kirkegaard, set out a consistent thesis: productivity weakness is rarely a single mechanical problem; it is the cumulative drag of weak innovation diffusion, protected incumbents and policy that subsidises stasis. The European book was named a Choice Outstanding Academic Title in 2005. Recent work at Brookings, with Federal Reserve Board economists David Byrne and Eugenio Soto and Brookings colleague Aidan Kane, examines whether generative AI qualifies as a general-purpose technology and where, in finance and other sectors, the productivity dividend will actually land. He co-chairs the Bipartisan Policy Center’s Financial Regulatory Reform Initiative and sits in the Squam Lake Group of financial economists who write on systemic risk and reform. Key speaking topics US and global productivity growth Financial regulation and systemic risk The macroeconomic case for generative AI US economic policy and the Federal budget outlook European competitiveness and structural reform Social Security and pension reform Ideal for Boards and audit committees pricing financial regulation and macro risk into strategy CFOs and chief economists at banks, insurers and asset managers Senior policy and government affairs leadership tracking US economic policy Strategy and transformation leaders building the AI productivity business case Audience outcomes A clear read on where productivity growth is actually coming from, and where it is not A grounded view on which generative AI productivity claims are supported by evidence and which are not An informed perspective on the live US financial regulatory agenda and its implications for capital and risk A comparative frame for European versus US growth performance and the policies that move it

Why organisations work with Mark Schaefer A connected, multi-book argument about where marketing economics are actually going, from Marketing Rebellion to Belonging to the Brand to Audacious, rather than a single talk track repackaged. A working position at the front of the AI-and-marketing conversation, anchored in his Rutgers “Mini-MBA: Digital Marketing in the Age of AI” and his book Audacious: How Humans Win in an AI Marketing World. A serious thesis on community as a marketing asset, with case work on brands like Sephora, that gives CMOs a defensible alternative to paid-media-only growth plans. Direct consulting and keynote experience with global enterprises including Pfizer, Cisco, P&G, Coca-Cola, McKinsey, Adidas, Johnson & Johnson, and the U.S. Air Force, which means examples land for both regulated and consumer-facing audiences. A teaching habit, three years studying under Peter Drucker and an active Rutgers executive education role, that shows up in how he structures sessions: argument, evidence, frameworks leaders can take into a Monday meeting. Biography highlights Executive Director of Schaefer Marketing Solutions, with consulting work for Pfizer, Cisco, P&G, Coca-Cola, McKinsey, Dell, Adidas, Johnson & Johnson, the U.S. Air Force, and the UK Government. RBS Executive Education Lecturer at Rutgers Business School; teaches the Mini-MBA in Digital Marketing in the Age of AI and graduate marketing classes. Author of twelve best-selling marketing books, including Marketing Rebellion, Belonging to the Brand, KNOWN, The Content Code, Cumulative Advantage, Return on Influence, How AI is Changing Your Customers, and Audacious: How Humans Win in an AI Marketing World. Audacious launched with the first AI-driven Augmented Reality book cover and reached #1 in Amazon’s marketing category. Founder and co-host of The Marketing Companion podcast and publisher of the {grow} marketing blog. Featured commentator and contributor across The Wall Street Journal, The New York Times, CNN, CBS News, BBC, NPR, Wired, and Harvard Business Review. Keynote speaker at South by Southwest, the Institute for International and European Affairs, Marketing Summit Tokyo, and Social Media Week London; has lectured at Oxford, Carnegie Mellon, and Princeton. Named the third-most influential digital marketing authority by Brand24 in 2025. Biography The cost of reaching a customer keeps rising while the trust those impressions buy keeps falling. Marketing Rebellion: The Most Human Company Wins set out the argument that built much of Mark Schaefer’s reputation, that businesses are no longer built on advertising impressions but on human impressions that help customers believe, belong, and find meaning. It is used as assigned reading at more than 70 universities and has been translated into 20 languages. That argument has continued through Belonging to the Brand, which makes the case for community as the next durable marketing strategy, and Audacious: How Humans Win in an AI Marketing World, which examines brands like e.l.f. Beauty, HBO, and Giant Spoon to show how creative nerve, not algorithmic optimisation, captures attention in saturated markets. Audacious reached number one in Amazon’s marketing category and launched with what the publisher described as the first AI-driven Augmented Reality book cover. His authority is grounded in operating credentials, not commentary alone. Schaefer runs Schaefer Marketing Solutions and has consulted for Pfizer, Cisco, P&G, Coca-Cola, McKinsey, Adidas, Johnson & Johnson, and the U.S. Air Force. At Rutgers Business School, he is the Executive Education lecturer behind the Mini-MBA in Digital Marketing in the Age of AI, and he has lectured at Oxford, Carnegie Mellon, and Princeton. He studied under Peter Drucker for three years, and the structural rigour of that lineage is visible in the way his frameworks are built. He also runs the infrastructure most marketing thinkers only write about. The Marketing Companion is one of the longer-running marketing podcasts in the field, and the {grow} blog has been a fixture in the discipline for over a decade. The result, for senior commercial audiences, is a speaker who treats marketing as a system and tests his arguments in public, every week, against an audience that includes practitioners and competitors. Key speaking topics Human-centred marketing strategy Brand community as a growth strategy AI in marketing and creative work Personal branding for executives and professionals Customer trust, loyalty, and the post-advertising buyer Content strategy and influence Cumulative advantage and competitive momentum Ideal for CMOs, brand directors, and heads of marketing rebuilding strategy around community and human connection. CEOs and commercial leaders questioning the ROI of paid-media-led growth plans. Heads of customer experience and digital who need to integrate AI without losing brand distinctiveness. Communications, PR, and corporate marketing leaders in regulated industries facing trust and credibility challenges. Audience outcomes A reframed view of where marketing value now sits: human impressions, community, and creative nerve over paid reach. Concrete case examples, including Sephora, e.l.f. Beauty, HBO, and Giant Spoon, that audiences can map against their own categories. A working position on how to use AI in marketing without becoming indistinguishable from competitors using the same tools. A clearer set of questions to bring back to brand, content, and customer experience teams about what they should stop funding. A vocabulary for talking to boards about brand and community as commercial assets, not soft costs.