Artificial Intelligence & Generative AI

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 Bruno Giussani His book Our Minds Under Siege (2026) gives leadership teams a structured framework for understanding how AI systems reshape human judgment from within; a diagnosis of a risk that most governance frameworks do not yet address and that most AI ethics conversations skip entirely. Nearly twenty years as TED’s Global Curator, working with more than 1,000 speakers, including His Holiness Pope Francis (twice), Prince William, and UN Secretary-General António Guterres, gives him a practitioner’s map of how ideas move through organizations and societies, and what stops them. He operates at the intersection of AI, geopolitics, and economics rather than inside any single discipline, which allows him to frame cognitive risk as a question of power and governance, not a technology-management problem. His analytical position is explicitly non-alarmist: shaped by three decades of pragmatic, no-hype technology journalism across the New York Times, The Economist, and Wired UK. Organizations that have moved past the introductory AI conversation find this register useful. Biography highlights Former Global Curator and European Director, TED (2005–2024); curated more than 1,000 TED Talks, including two by His Holiness Pope Francis and one by Prince William Author, Our Minds Under Siege: How to Avoid Being Manipulated in the Age of AI (University of Chicago Press / Scheidegger & Spiess, 2026); also author of Roam: Making Sense of the Wireless Internet (Random House, 2001) Host, Deftech Podcast («La menace cognitive»), 2025 – six episodes on cognitive sovereignty and the threats posed by AI and neurotechnology JSK Fellow, Stanford University; Affiliated Fellow, Freeman Spogli Institute for International Studies Wired UK «Wired 100» (100 most influential Europeans): 2011, 2012, 2014, 2015; SwissAward Person of the Year 2015, Economy category Internet columnist, New York Times (1996–2000); contributor to The Economist, Wall Street Journal Europe, and Wired UK Biography The dominant AI conversation in most organizations is about automation, efficiency, and competitive disruption. The question of whether the same technology is simultaneously reshaping the judgment of the people making those decisions has largely been set aside. Bruno Giussani challenges that omission. Its argument: cognitive sovereignty – the capacity to think and decide independently – is the governance challenge organizations are not yet naming. Giussani was TED’s Global Curator and European Director for nearly twenty years, curating more than 1,000 talks, including two by His Holiness Pope Francis and one by Prince William, as well as leading figures in geopolitics, economics, and climate. That curatorial role, at the centre of the global ideas economy, built a practitioner’s understanding of how information environments shape what people believe and how they decide: not through force, but through design. Before TED, he wrote about technology for the New York Times (as its European internet columnist), The Economist, the Wall Street Journal Europe, and Wired UK. The consistent position across that work was pragmatic and non-alarmist; skeptical of both utopian and panic framings of technology. That editorial discipline anchors Our Minds Under Siege, which treats AI manipulation not as a consumer protection question but as a structural challenge to organizational thinking and governance. His Deftech Podcast (2025), produced in French, German, and Italian, explored cognitive threats from AI and neurotechnology before the book appeared in print. He advises public organizations and private companies and brings this analysis to boards and leadership teams where technology strategy, geopolitical risk, and organizational decision-making converge. Key speaking topics Cognitive sovereignty and AI manipulation The social and political impacts of algorithmic technologies How ideas spread in organizations and societies Technology, geopolitics, and the future of power AI governance beyond automation and compliance Curation and knowledge management in an era of information abundance The intersection of AI, neurotechnology, and human decision-making Ideal for Boards and senior leadership teams examining AI governance beyond operational and compliance risk CEOs, CSOs, and Chief AI Officers building strategic frameworks for AI’s cognitive and societal impacts Corporate affairs and communications leaders whose organizations operate in algorithmically shaped information environments Executive conferences and thought leadership forums requiring a moderator or host with demonstrated experience interviewing heads of state, Nobel laureates, and global institutional leaders Audience outcomes A clear framework for distinguishing operational AI risk (automation, disruption) from cognitive AI risk (the manipulation of judgment and belief) A working vocabulary for cognitive sovereignty; what it means at the organizational level, how it differs from AI ethics, and why it is becoming a governance issue Insight into how information environments are architecturally designed to shape attention and belief, drawn from twenty years of curating the world’s most-watched ideas platform A practitioner’s understanding of how consequential ideas are built, communicated, and adopted, and what makes organizations resistant or receptive to them A non-alarmist, analytically grounded perspective on AI’s social and political impacts, suited to senior teams that have already moved past the introductory conversation

Why organisations work with Brian Solis Operator and analyst in one seat. He runs ServiceNow’s global Innovation and Executive Briefing Centers while writing and researching, so the frameworks he presents are stress-tested on live enterprise engagements. Twenty-plus year track record naming shifts early. His “digital Darwinism” argument, developed across The End of Business as Usual, WTF and X, forecast customer-behaviour-led disruption before most boards were discussing it. Anthropological lens on AI and technology. He frames innovation around how customers and employees are actually behaving, not around the technology stack, which gives CX, marketing and transformation leaders usable material rather than vendor abstractions. Published thesis on the current executive question. Mindshift (Wiley, 2024) sets out how leaders move from reactive management to visionary direction in an AI-first operating environment, making him directly relevant to transformation and CEO agendas right now. Credible with both technology and customer experience audiences. His work is regularly cited across ServiceNow, Salesforce alumni networks, and customer-experience publications, which lets a single booking land with CIO, CMO and CXO communities. Biography highlights Head of Global Innovation, ServiceNow, overseeing Innovation and Executive Briefing Centers in Silicon Valley, New York, London, Paris, Sydney and Singapore. Former Global Innovation Evangelist, Salesforce. Former Principal Analyst, Altimeter Group, covering digital transformation, customer experience and disruption. Author of eight business books including Mindshift (Wiley, 2024), Lifescale (Wiley, 2019), X: The Experience When Business Meets Design, What’s the Future of Business and The End of Business as Usual. Ranked in Thinkers360 Top 50 Metaverse Thought Leaders, 2023. Hosts the (r)evolution video series and the WTF podcast, with a combined following of more than 700,000 across social platforms. Biography Digital transformation has been oversold and under-delivered inside most large enterprises. Programmes launch, dashboards light up, and the underlying operating model stays the same. Brian Solis has been writing about this gap for two decades and now sits inside it, as Head of Global Innovation at ServiceNow, running Innovation and Executive Briefing Centers across Silicon Valley, New York, London, Paris, Sydney and Singapore. His argument across eight books is consistent. Customer and employee behaviour shifts first, technology amplifies the shift, and organisations that treat innovation as a theatre of announcements get outrun by the ones that rewire how decisions are made. He captured this as “digital Darwinism” in The End of Business as Usual and sharpened it in X: The Experience When Business Meets Design and What’s the Future of Business. Mindshift, published by Wiley in October 2024, reframes the same question for an AI-first environment. It is aimed at executives who need to move their teams from reactive management to a visionary posture, spot trends early and convert them into prioritised innovation bets. Before ServiceNow, Solis was Global Innovation Evangelist at Salesforce and, before that, Principal Analyst at Altimeter Group, where he built much of the public research base he still draws on. He is one of the few voices in this space who operates at the intersection a senior buyer actually cares about: the analyst who names the shift, the author who frames it for a boardroom, and the operator responsible for making it real inside a global enterprise. Key speaking topics Digital transformation and digital Darwinism AI-era leadership and the mindshift from reactive to visionary Innovation strategy and the future of the enterprise Customer experience and behavioural change Disruption and emerging technology trends The future of work and employee experience Ideal for CEO, CIO, CDO and transformation leads responsible for enterprise-wide digital and AI strategy. CMO, Chief Customer Officer and CX leads rebuilding the customer model around new behaviour. Innovation, R&D and strategy leaders moving from proof-of-concept to operating-model change. Board and executive offsites framing the next three to five year technology and experience agenda. Audience outcomes A sharper read on which behavioural and technology shifts are material for their sector right now. A working definition of the difference between innovation theatre and innovation that changes the operating model. Language to argue internally for a move from reactive programmes to a visionary, trend-led agenda. A framework from Mindshift for spotting, prioritising and acting on emerging opportunities in an AI-first environment. Specific cues for aligning customer experience, employee experience and technology investment around the same thesis.

Why organisations work with Brent Hoberman He has built and exited two unicorns, lastminute.com and Made.com, and can speak to scaling and to failure with equal credit. Through Founders Factory and firstminute capital, he has first-hand visibility of more than 400 early-stage companies and 12 seed-stage unicorns, giving corporate audiences a live read on where technology is moving. His corporate partner list at Founders Factory, including The Guardian, L’Oreal, easyJet, Aviva and Reckitt Benckiser, means he speaks the language of incumbent strategy as well as founder strategy. As Co-Chair of Enterprise Britain and an adviser to successive UK Prime Ministers, he frames growth inside the real policy and capital conditions leaders operate under. He is candid about what went wrong at Made.com, which gives senior audiences a working case study in IPO timing, governance and post-pandemic demand rather than a highlight reel. Biography highlights Co-founder and former CEO of lastminute.com; sold to Sabre for approximately $1.1bn in 2005. Co-founder of Made.com; founding chairman until shortly before its 2021 IPO. Co-founder and Executive Chairman of Founders Factory, Founders Forum and firstminute capital. Appointed CBE in the 2015 New Year Honours for services to entrepreneurship. Co-Chair of Enterprise Britain; has advised multiple UK Prime Ministers on entrepreneurship policy. Non-executive director roles have included Guardian Media Group, TalkTalk, Shazam, Time Out and The Economist. Biography Lastminute.com went public in March 2000, weeks before the dot-com market broke. The IPO was 43 times oversubscribed and remains one of the fastest company listings in European history. Brent Hoberman was its co-founder and CEO, and he ran the business through the crash and on to a $1.1bn sale to Sabre in 2005. That arc, from frenzy to survival to exit, sits under almost everything he says on stage. Since then he has built three platforms that back other founders. Founders Factory runs corporate-backed accelerators with partners including The Guardian, L’Oreal, easyJet, Aviva, Marks and Spencer and Reckitt Benckiser. firstminute capital is a global seed fund backed by more than 130 unicorn founders. Founders Forum is the community that connects the two. The combined portfolio gives him a working view across several hundred early-stage technology companies at once. He also co-founded Made.com in 2010 and was its founding chairman. He stepped down before the 2021 IPO, having questioned its timing, and the company later entered administration. He uses that outcome directly in corporate sessions on governance, category demand and IPO readiness, which is rare among founders at his level. Outside operating roles, he co-chairs Enterprise Britain with Stephen Fitzpatrick and has advised successive UK Prime Ministers on small business, scale-up and entrepreneurship policy. He was appointed CBE in 2015 for services to entrepreneurship. The policy work matters on the platform because it lets him connect founder behaviour, capital markets and government posture in a way most technology speakers cannot. Key speaking topics Entrepreneurship and founder psychology Scaling consumer internet and marketplace businesses Venture investing and early-stage capital Corporate innovation and startup partnerships AI and consumer technology trends UK and European tech policy Ideal for Boards and executive committees reviewing innovation strategy Corporate venture and M and A teams working with startups CEO and founder gatherings inside private equity and VC portfolios Senior leadership offsites at consumer, retail, media and financial services firms Audience outcomes A clear read on which early-stage technology categories are attracting serious capital and why A practical view of how corporates get useful work out of startup partnerships, from someone who structures them Frank lessons from a founder who has been through a record-breaking IPO, a billion-dollar exit and a public company collapse A sharper sense of how UK and European policy, capital and talent conditions shape what boards can realistically plan for

Why organisations work with Brad Templeton He has sat inside the Google self-driving car program as a strategy and technology consultant since 2010, giving him a read on the robotaxi industry that armchair analysts cannot match. He holds 21 patents across self-driving cars and telephony, so claims about what is technically possible come from someone who has actually built in the space. As founder of ClariNet in 1989, the first company built to do commercial business on the internet, he has a forty-year pattern of calling commercial shifts before the market sees them. Twenty years on the board of the Electronic Frontier Foundation, including a decade as Chairman, means he speaks credibly on the privacy, surveillance and civil-liberties consequences of AI and autonomy. He is a founding faculty member and Chair for Computing and Networks at Singularity University, where the brief is to frame exponential technology change for senior decision-makers. Biography highlights Founder and CEO of ClariNet Communications (1989), the first company established to conduct commercial activity over the internet. Chairman Emeritus of the Electronic Frontier Foundation, Chairman from 2000 to 2010, board member since 1997. Founding faculty and Chair for Computing and Networks at Singularity University since 2009. Strategy and technology consultant on the Google self-driving car project, now Waymo, since 2010. Inventor on 21 patents in autonomous vehicles and telephony. Forbes contributor on robocars; publisher of Robocars.com and the long-running Brad Ideas blog. Board member of the Foresight Institute; plaintiff in Reno v. ACLU. Biography ClariNet went live in June 1989 and sold the first commercial subscription on the internet to Stanford University. The founder was Brad Templeton. That single contract is the practical birth of the dot-com economy, and it sets the pattern for the rest of his career: spotting the commercial shape of a technology before the market has language for it. Two decades later the same instinct took him into Google’s self-driving car program. Since 2010 he has consulted on strategy and technology for what is now Waymo, while also writing a reference column on the industry for Forbes and at Robocars.com. His 21 patents in autonomous vehicles and telephony make the commentary load-bearing; he is not narrating the robotaxi race from the outside. Alongside the commercial work, Templeton spent twenty years on the board of the Electronic Frontier Foundation, a decade of that as Chairman, and was a named plaintiff in Reno v. ACLU, the Supreme Court case that struck down the Communications Decency Act. That record is why boards bring him in when the question shifts from “does the AI work” to “what fights over privacy, surveillance and liability will shape who gets to deploy it.” At Singularity University, where he has been Chair for Computing and Networks since the founding faculty, the job is translating exponential technology curves for executives who need to plan against them. Few speakers combine an operator record in autonomous vehicles, a founder’s claim on the commercial internet, and two decades of civil-liberties advocacy in the same briefing. Key speaking topics Autonomous vehicles and the robotaxi industry Exponential technology and Moore’s Law thinking Artificial intelligence deployment and strategy Privacy, surveillance and civil liberties in a connected economy Internet history and the pattern of commercial technology shifts Future of mobility and urban transportation Cybersecurity and technology policy Ideal for Boards and executive teams sizing investment or partnership decisions in autonomous vehicles, mobility or AI. CTOs and chief innovation officers testing internal assumptions about exponential technology timelines. General counsel, chief privacy officers and policy leads working through AI and surveillance exposure. Automotive, insurance, logistics and urban-planning leadership teams preparing for autonomous deployment. Audience outcomes A sharper read on which autonomous-vehicle timelines are grounded and which are vendor marketing. A working mental model for exponential technology curves and what they mean for planning horizons. Specific case material from inside the Google and Waymo programs that is hard to source elsewhere. A clearer view of the privacy, liability and civil-liberties questions that will shape AI and autonomy regulation. Named examples drawn from forty years of commercial internet history, used to pressure-test current assumptions.

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 Avinash Kaushik He built the intellectual vocabulary a generation of marketers now uses, including the See-Think-Do-Care framework that maps content, media and measurement to real customer intent. Sixteen years as Google’s Digital Marketing Evangelist gave him a view of marketing performance across most of the world’s largest advertisers, not a single case study. He bridges analytics and brand in a room that usually forces leaders to pick one, advising both a measurement firm (Human Made Machine) and a global fashion group (Tapestry). His books sit on the desks of working practitioners in ten-plus languages; the argument has survived translation, platform change and the rise of generative AI. He is unusually direct about what does not work in marketing measurement, which is why senior buyers use him to sharpen internal debates rather than flatter them. Biography highlights Former Senior Director of Global Analytics and Digital Marketing Evangelist at Google, a sixteen-year tenure. Global Chief Strategy Officer at Human Made Machine; Brand Strategy and Marketing Transformation Consultant at Tapestry. Author of “Web Analytics: An Hour a Day” and “Web Analytics 2.0” (Wiley), translated into more than ten languages. Originator of the See-Think-Do-Care framework for intent-based marketing strategy. Recipient of the American Statistical Association’s Statistical Advocate of the Year and the Web Analytics Association’s Most Influential Industry Contributor award. Writes “The Marketing Analytics Intersect” newsletter, read by approximately 55,000 marketing and analytics leaders. Biography Marketing leaders rarely struggle for data. They struggle to decide what any of it means for growth next quarter. That is the problem Avinash Kaushik has spent two decades making tractable, first inside Google as its Senior Director of Global Analytics and Digital Marketing Evangelist, and now as global Chief Strategy Officer at Human Made Machine and brand strategy consultant to Tapestry. His See-Think-Do-Care framework reframed digital marketing around customer intent rather than channel or demographic, and it is now embedded in the working language of marketing teams from consumer goods to financial services. It is a simple idea with a disciplined consequence: measurement and content have to follow the audience’s state of mind, not the agency’s media plan. Two books, “Web Analytics: An Hour a Day” and “Web Analytics 2.0”, carried that argument into practice and have been translated into more than ten languages. The American Statistical Association named him Statistical Advocate of the Year; the Web Analytics Association recognised him as its Most Influential Industry Contributor. He has taught and advised at Stanford, USC Annenberg and the Rotman school at Toronto. What sets his current work apart is the refusal to treat AI as a separate topic. In rooms with CMOs and CFOs, he draws the line from intent-based customer understanding to incrementality-based measurement to where generative AI actually earns its keep. The recommendation is usually sharper and the vendor pitch usually weaker by the time he is done. Key speaking topics Intent-centric marketing strategy Incrementality-based marketing measurement AI and generative AI in marketing Digital analytics and data-driven decision making Customer-centric growth and retention Marketing transformation for senior leaders The See-Think-Do-Care framework in practice Ideal for CMOs and marketing leadership teams rebuilding measurement for an AI-first environment. Boards and executive teams stress-testing the commercial return from digital and marketing investment. Heads of analytics, data and performance marketing aligning with brand and commercial functions. CEO and CFO audiences who want a serious outside view on marketing’s contribution to growth. Audience outcomes A clearer line between customer intent, marketing activity and commercial outcome. A sharper test for whether a measurement approach is actually incremental or just reported. A working critique of how generative AI is being sold into marketing and where it earns real return. A shared vocabulary, grounded in See-Think-Do-Care, that senior teams can use to align content, media and measurement. A more confident internal argument about where to stop investing, not only where to invest more.

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 Hessel He is one of a small group of people actually running a human-genome-scale project. Co-founding Genome Project-write with George Church and Jef Boeke gives him a direct line of sight into what will be technically and commercially real in the next ten years, not a commentator’s view. He has built companies in this space, not just written about it. Miikana Therapeutics, Pink Army Cooperative and Humane Genomics each tested a different commercial model for synthetic biology, which is what boards want when they are sizing their own exposure. His Autodesk work made the abstract concrete. The phiX174 genome his team synthesised sits in the Museum of Modern Art’s collection, which is a useful anchor for a room that has not yet understood that genomes can be printed. The Genesis Machine, co-authored with Amy Webb, gives leadership teams a shared reference point. It was named a New Yorker Best Book of 2022 and is already on the reading lists of strategy and R and D functions thinking through biotech platform bets. He speaks to risk as fluently as opportunity. Biosecurity, governance and dual-use are part of his core argument, which matters for regulated industries and for any board that has to sign off on a biology-forward strategy. Biography highlights Co-founder, Genome Project-write (GP-write), the international effort to engineer large genomes including the human genome, launched in 2016 with George Church, Jef Boeke and Nancy J. Kelley. Co-founder and President, Humane Genomics, a synthetic-virus cancer therapeutics company based in New York. Distinguished Researcher, Autodesk Bio/Nano Programmable Matter group, 2012 to 2018; led the synthesis of bacteriophage phiX174, a print of which entered the Museum of Modern Art’s collection. Founding faculty and former co-chair of Bioinformatics and Biotechnology, Singularity University. Co-author with Amy Webb of The Genesis Machine: Our Quest to Rewrite Life in the Age of Synthetic Biology (PublicAffairs, 2022), a New Yorker Best Book of 2022. AAAS-Lemelson Invention Ambassador, 2015; contributor to Scientific American. Biography Genome Project-write launched in 2016 with a plan to engineer genomes at the scale of the human genome. Hessel co-founded it with Harvard geneticist George Church, NYU’s Jef Boeke, and Nancy J. Kelley, after a period advocating that biology needed an equivalent to the software industry’s write phase, not just the read phase delivered by the original Human Genome Project. That framing runs through his career. As Distinguished Researcher at Autodesk from 2012 to 2018, he led the team that designed and printed the bacteriophage phiX174 genome in three weeks for roughly a thousand dollars, a demonstration that biology had become a design discipline. A copy of that print entered the collection of the Museum of Modern Art. Before Autodesk he was founding faculty at Singularity University, where he built and co-chaired the Bioinformatics and Biotechnology track. He is also an operator. He co-founded Miikana Therapeutics in 2002, launched Pink Army Cooperative in 2009 as an open-source biotech experiment in personalised cancer therapy, and co-founded Humane Genomics in 2017 to develop synthetic oncolytic viruses, starting with a veterinary indication before moving to human oncology. Each company is a different bet on how synthetic biology gets to market. His 2022 book with futurist Amy Webb, The Genesis Machine, is the clearest articulation of his argument: synthetic biology is on the same kind of curve that digital computing was in the 1970s, with the same mix of platform opportunities and governance risks. The book was named a New Yorker Best Book of 2022 and is widely used by strategy teams trying to build a common vocabulary for biotech decisions. He was named an AAAS-Lemelson Invention Ambassador in 2015 and contributes to Scientific American. Key speaking topics Synthetic biology and the future of medicine Programmable genomes and the write phase of biotechnology Biosecurity and governance of engineering biology Personalised and precision cancer therapies Platform economics of bioengineering Convergence of AI, software and biology Ideal for Pharma, biotech and medtech boards sizing long-horizon platform bets CTOs, Chief Scientific Officers and heads of R and D in regulated industries Insurance, agriculture, food and materials leaders exposed to biological innovation Strategy and foresight teams building scenarios for the next decade of life sciences Audience outcomes A working model of synthetic biology as an industrial platform, not a research topic A clearer read on which biology-driven shifts are near-term commercial and which are still speculative Named examples of where programmable biology is already changing medicine, agriculture and materials A sharper view of the biosecurity and governance questions that sit alongside the commercial upside Language and reference points leadership teams can use to brief their own boards

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 Anders Indset His Quantum Economy framework gives organisations a named argument for what comes after digitalization – not a call to “transform,” but a specific claim: that existing economic and organisational models require a philosophical upgrade, and that human potential, not technology alone, determines what follows. He coined the concept of the “Final Narcissistic Injury of Humankind” – the argument that AI’s deepest threat is not job displacement but the erosion of human agency and self-perception. This gives boards and executive teams a precise vocabulary for what is genuinely at stake in AI strategy. His “Anticipated Future” concept reframes strategic foresight as a leadership competency: the capacity to project forward from exponential data rather than extrapolate backwards from historical analysis. It is a directly applicable decision-making discipline, not a futurist premise. As an early investor in Terra Quantum AG and founder of the Njordis Group, his perspectives on deep tech are grounded in active investment decisions – meaning his claims about emerging technology have been stress-tested against real capital allocation. He has co-authored peer-reviewed philosophical and scientific papers with physicist Florian Neukart on the simulation hypothesis and the convergence of AI and human intelligence (AHI) – providing a rigour of argument that distinguishes him from commentators working purely at the level of narrative. Biography highlights Four Spiegel bestselling books – Wild Knowledge, The Quantum Economy, Das infizierte Denken, The Viking Code – translated into more than ten languages Named to Thinkers50 Radar 2018 among 30 Global Thinkers most likely to shape the future of organisational leadership; 2019 Breakthrough Idea Award finalist for The Quantum Economy Founder, Global Institute of Leadership and Technology (GILT), 2012; Founder and Chairman, Njordis Group (venture capital and advisory) Early investor and advisory board member, Terra Quantum AG; supervisory board member, German Tech Entrepreneurship Center (GTEC) Keynote speaker at the World Economic Forum, Global HR Summit, and Mobile World Congress; over 1,500 presentations across more than 60 countries Media coverage in Fast Company, Forbes, Fortune, Frankfurter Allgemeine Zeitung, NZZ, and Harvard Business Manager Dubbed “Rock’n’Roll Plato” by European media; guest lecturer at leading international business schools Biography Anders Indset’s central argument is simple and uncomfortable: in a world with near-unlimited access to information, knowledge is no longer the scarce resource for leaders – understanding is. His work begins where most AI and technology commentary stops, asking not what technology can do but what it means for human decision-making, economic design, and organisational purpose. His 2019 Spiegel bestseller The Quantum Economy introduced the concept of a post-digital economic framework – a named thesis, not a trend report – arguing that capitalism requires a philosophical upgrade to remain compatible with human values as algorithms become authorities. The book was a finalist for the Thinkers50 Breakthrough Idea Award and reached number one on the Manager Magazin business book chart. Subsequent books – including The Viking Code (2024) and The Singularity Paradox (2025, co-authored with physicist Florian Neukart) – have extended the framework into culture, values-driven leadership, and the emergence of what Indset and Neukart term Artificial Human Intelligence (AHI): the argument that a conscious, human-centred response to superintelligence is both possible and necessary. Indset is not a commentator at a distance from the technologies he describes. As an early investor in Terra Quantum AG and founder of the Njordis Group, he has made active capital commitments in quantum computing, AI, healthtech, and cybersecurity. This positions his philosophical arguments inside real decisions about where exponential technology is heading – not above them. He has spoken at the World Economic Forum, the Global HR Summit, and Mobile World Congress, and his work has appeared in Fast Company, Forbes, Fortune, and the Frankfurter Allgemeine Zeitung. For organisations navigating the question of what leadership actually means when AI can outperform human cognition on an expanding range of tasks, Indset offers something specific: a systematic philosophical framework, tested in print, in investment, and across executive audiences in more than 60 countries. Key speaking topics The Quantum Economy and post-digital capitalism Artificial intelligence and human agency Exponential technology and organisational strategy Anticipated Future as a leadership discipline Artificial Human Intelligence (AHI) and the technological singularity Values-driven performance culture Philosophical foundations of strategic decision-making Ideal for C-suite and board-level audiences wrestling with the strategic and existential implications of AI Technology, innovation, and strategy leadership conferences Executive development programmes exploring the relationship between philosophy, leadership, and emerging technology Policy and business forums on the future of economies and social structures in an AI-accelerated world Audience outcomes A named, book-backed conceptual vocabulary – Quantum Economy, Anticipated Future, Possibilism – for framing strategic thinking about technology beyond trend language A sharper distinction between information access and organisational wisdom, and why the gap between them is the real leadership challenge of the AI era Specific philosophical tools for exercising anticipatory leadership: projecting forward from exponential change rather than extrapolating from historical data A reframing of AI risk – moving beyond job displacement to the deeper question of human agency, purpose, and self-determination in technology-driven organisations A perspective on performance culture grounded in values and collective intelligence, drawing on the Viking Code framework