AI Ethics & Responsible Technology

Why organisations work with Ian Goldin He predicted in The Butterfly Defect (2014) that a pandemic would be the most likely cause of the next global financial shock, six years before COVID. Boards looking for genuine foresight on systemic risk treat that record as evidence, not branding. He forecasts growth prospects across regions, including the US, Europe, China, and Asia, and across sectors such as manufacturing, banking, and AI. Asset allocators, central banks, and multinational boards use that view to stress-test capital and operating decisions over a five to fifteen year horizon. Few speakers carry both operating and academic authority on globalisation: Vice President of the World Bank, Chief Executive of the Development Bank of Southern Africa, and Founding Director of the Oxford Martin School. His work translates directly into capital and policy decisions on geoeconomics, supply chains, urbanisation, and the impact of AI on jobs and development. These are the live questions on most international boards heading into the late 2020s. He moderates and facilitates as well as keynotes. Clients including J.P. Morgan and pharmaceutical and legal industry events have used him to open and connect multi-day programmes, shape agendas, and chair leadership conversations on top of delivering the headline keynote. Biography highlights Vice President of the World Bank (2003-2006) and Director of Development Policy (2001-2003). Chief Executive of the Development Bank of Southern Africa (1996-2001), advising President Nelson Mandela. Founding Director of the Oxford Martin School (2006-2016), establishing 45 research programmes and over 500 affiliated academics. Professor of Globalisation and Development, University of Oxford, and Professorial Fellow at Balliol College. Author of 25 books including The Butterfly Defect (Princeton, 2014), Age of the City (Bloomsbury, 2023, FT Best Books of 2023), and The Shortest History of Migration (Old Street, 2024). Writer and presenter of three BBC documentary series, including After the Crash and The Pandemic that Changed the World, and the BBC Analysis The Death of Globalisation (2023). Biography In 2014, The Butterfly Defect argued that the next major global financial shock was most likely to come from a pandemic running through the connective tissue of globalisation. Six years later, COVID proved the case. The book, written with Mike Mariathasan and published by Princeton, was Ian Goldin’s clearest statement of a thesis he had been building for two decades: globalisation has produced extraordinary gains and a new class of systemic risk that institutions are not yet built to manage. That argument carries weight because of where it comes from. Goldin was Vice President of the World Bank and, before that, Chief Executive of the Development Bank of Southern Africa, where he advised President Nelson Mandela through the early post-apartheid years. He was Principal Economist at the European Bank for Reconstruction and Development and a Programme Director at the OECD in Paris. The institutions sit behind the books. At Oxford, he founded the Oxford Martin School in 2006 and ran it for a decade, building 45 research programmes across more than 100 disciplines. He now leads three Oxford Martin programmes on technological and economic change, the future of work, and the future of development. His books, 25 in total, run from Exceptional People on migration to Age of the City on urban futures, with The Shortest History of Migration arriving in 2024. What boards and governments use him for is harder than topic coverage. It is the ability to connect migration, AI, climate, and supply chain stress into a coherent picture of where capital, talent, and political risk are moving over a five to fifteen year horizon, with the operational scars to know which policy moves actually land. Key speaking topics Economic growth prospects across countries, regions, and sectors Geopolitics, geoeconomics, and the fracturing rules-based order Systemic risk and globalisation AI, jobs, and the future of work The future of cities and urbanisation Long-horizon scenarios and crisis recovery Migration and demographic change Ideal for Boards and executive committees of multinationals navigating geopolitical exposure, supply chain risk, and growth divergence across regions. Government, central bank, and multilateral audiences setting policy on development, AI, and climate. Investor and asset-allocator forums sizing long-horizon risk across regions and sectors. CSOs, heads of strategy, and CFOs responsible for capital decisions under macro and political uncertainty. Audience outcomes A clearer reading of how today’s shocks connect: pandemics, AI, migration, climate, and political fracture as one system. Specific arguments and evidence boards can use when stress-testing strategy against the next decade of global change. A sharper view of how growth prospects diverge across regions and sectors, and what that means for capital allocation, supply chains, and talent strategy. Confidence to challenge assumptions baked into long-range plans, sourced from someone who has run the institutions setting global policy.

Why organisations work with Guy Hoffman He runs one of the leading labs in the world on human-robot and human-AI collaboration, so the content is drawn from active research, not recycled commentary. His design training at Parsons sits on top of an MIT computer science doctorate, which is why his work on non-anthropomorphic robots and nonverbal machine communication reads as rigorous rather than aesthetic. His TEDxJaffa talk “Robots with Soul” passed three million views and remains one of the most-watched public explanations of why machines feel awkward to work with, and how to fix it. He has shipped work that reached wide audiences: the AUR robotic desk lamp won the IEEE Robot Design Competition, and his collaboration on the Digital Water Pavilion was named a TIME Best Invention of the Year. He speaks to leadership audiences about AI without the two failure modes buyers dread: pure hype on one side, and pure academic detachment on the other. Biography highlights Associate Professor and Mills Family Faculty Fellow, Sibley School of Mechanical and Aerospace Engineering, Cornell University. Heads the Human-Robot Collaboration and Companionship (HRC2) group at Cornell. PhD, MIT Media Lab (human-robot interaction); MSc Computer Science, Tel Aviv University; animation studies, Parsons School of Design. Best Paper awards at HRI and robotics conferences across 2004, 2006, 2008, 2010, 2013, 2015, 2018, 2019, 2020 and 2021. Co-author of “Social Robot Morphology: Cultural Histories of Robot Design” in Cultural Robotics (Springer, 2023). Work covered by CNN, BBC, The New York Times, PBS, NBC, IEEE Spectrum and Semafor. Biography The hard problem in applied AI is not the model. It is the hand-off. The moment a machine has to time its action to a human’s, read context, share a task, or back off when the person wants to lead, most systems fail in ways that erode trust faster than any single output error. Guy Hoffman has spent two decades building the science of that moment. At Cornell, Hoffman leads the Human-Robot Collaboration and Companionship group as Associate Professor and Mills Family Faculty Fellow in the Sibley School of Mechanical and Aerospace Engineering. The lab’s work sits across mechanical engineering, computer science and information science, which is why it produces research on timing, nonverbal communication and the design of machines that do not pretend to be human. His doctorate is from the MIT Media Lab; he also trained in animation at Parsons, and that combination shapes the questions he asks. The public version of that thinking is his TEDxJaffa talk “Robots with Soul,” watched more than three million times and still one of the clearest explanations of why so many AI products feel wrong to use. The academic version is a body of work that has been recognised with Best Paper awards at HRI and robotics conferences across a decade and more, and a 2023 Springer chapter, “Social Robot Morphology,” that traces how cultural assumptions get baked into machine design. For senior audiences, the through-line is practical. Companies are now deploying AI into workflows that were built for humans. Hoffman’s research shows what breaks at that boundary, why it breaks, and what good looks like when a machine is designed to collaborate rather than merely perform. That is a more specific brief than the usual AI keynote, and it lands with operators who have already moved past the demo. Key speaking topics Human-AI collaboration and the design of productive machine partners Human-robot interaction in workplaces and homes Nonverbal communication between people and intelligent systems Non-anthropomorphic robot and AI design Timing, trust and hand-offs in human-machine teams Cultural assumptions embedded in AI and robot design The future of robots in care, service and creative work Ideal for Chief technology and chief AI officers leading enterprise AI deployment Heads of R and D, innovation and product in technology-intensive sectors Boards and executive teams setting strategy for automation and AI-enabled services Health, manufacturing and service leaders introducing robotic or AI systems into human workflows Audience outcomes A clearer map of where AI and robotic systems tend to fail at the human boundary, and why those failures are predictable A working vocabulary for discussing trust, timing and hand-offs in AI-enabled operations Specific design principles from two decades of human-robot interaction research, translated for non-technical leaders A view of where near-term robotics is heading in workplaces, homes and care settings, grounded in current lab work Sharper questions to bring back to internal AI and automation roadmaps

Why organisations work with Gerd Leonhard The androrithms concept – Leonhard’s term for the human qualities (empathy, ethical reasoning, creative judgment) that algorithms cannot replicate – gives leadership teams a governance vocabulary that most AI advisors skip. It moves the conversation from “what can we automate?” to “what must we protect, and why is that a strategic decision?” He co-authored The Future of Music (Berklee Press, 2005), correctly forecasting that streaming would displace ownership as the dominant music model years before the industry accepted it. That verifiable prediction track record is what distinguishes his current AI arguments from speculation that cannot be tested against outcomes. The Ten Megashifts framework – mapping ten concurrent technological forces including digitisation, intelligisation, automation and robotisation as a compound system – gives strategy and transformation teams a tool for testing whether their roadmaps account for the full scope of disruption, not just the most visible trend. The HellVen scenario construct frames technology futures as a governance choice between radically different outcomes rather than as a prediction. It is a practical tool for boards running scenario planning exercises on AI strategy and long-term institutional risk. His 2016 argument that digital ethics would become a mandatory boardroom governance issue was published before AI regulation appeared on any major policy agenda. That argument has since been validated, lending weight to his current positions on AI accountability and corporate responsibility. Biography highlights Author of Technology vs Humanity: The Coming Clash Between Man and Machine (2016), published in 12 languages; co-author of The Future of Music (Berklee Press, 2005) Founder and CEO, The Futures Agency, Zurich; Visiting Professor, Fundação Dom Cabral, São Paulo Fellow of the Royal Society for the Arts (FRSA), London Listed by Wired UK as one of the Top 100 Most Influential People in Europe; named by The Wall Street Journal as “one of the leading media futurists in the World” (2006) Views and interviews published in or featured by The Guardian, Harvard Business Review, Business Insider and Wired UK; TV appearances on BBC, CNN, ARTE and ZDF Berklee College of Music alumnus; Quincy Jones Award recipient (1985); former professional guitarist, composer and digital media entrepreneur, San Francisco Biography When Technology vs Humanity appeared in 2016, it arrived with a central claim: decisions about what to automate are fundamentally ethical decisions, not just operational ones. Boards mostly disagreed. They are now being forced to revisit that judgment. As CEO of The Futures Agency in Zurich, Gerd Leonhard has spent the intervening years building the frameworks leadership teams are now looking for. His most distinctive contribution is the distinction between algorithms and androrithms. Algorithms are the machine rules that govern digital systems. Androrithms – his term – are the human qualities that organisations risk losing when they optimise purely for efficiency: empathy, ethical reasoning, creative judgment, intuition. His Ten Megashifts framework maps ten concurrent technological forces as a compound system rather than a sequence of isolated disruptions. It gives boards a structured analytical lens rather than a single-trend narrative. The credibility of this perspective rests partly on record. Leonhard co-authored The Future of Music (Berklee Press, 2005), arguing that streaming would replace ownership as the dominant music model years before the industry accepted it. That early, accurate forecast – made when conventional wisdom pointed elsewhere – distinguishes his current AI arguments from commentary that arrives after the fact. A Fellow of the Royal Society for the Arts in London and Visiting Professor at Fundação Dom Cabral in São Paulo, Leonhard operates between the academic and advisory worlds. Wired UK lists him among the Top 100 Most Influential People in Europe. His perspective is shaped as much by his career as a professional musician and digital entrepreneur as by any institutional affiliation – a background that gives him a track record of having correctly called the trajectory of technological disruption before it became obvious. Key speaking topics Artificial intelligence and the future of business Digital ethics and AI governance Technology and human values Digital transformation strategy Scenario planning for technological disruption Human-machine relationships and organisational decision-making Sustainability and the future of capitalism Ideal for Boards and C-suite teams setting AI governance policy or approving digital transformation roadmaps Chief Digital Officers, CTOs and technology leadership teams seeking frameworks for responsible AI adoption Strategy and foresight functions building scenario plans around the compound impact of technological disruption Corporate governance, risk and legal teams navigating emerging AI regulation and digital ethics requirements Audience outcomes A practical governance vocabulary for deciding which organisational capabilities should and should not be automated, grounded in the androrithms/algorithms framework A structured map of ten concurrent technological forces (the Megashifts) reshaping strategy, operations and competitive positioning simultaneously Understanding of how digital ethics is transitioning from a values conversation to a governance and regulatory requirement – and what that means for corporate accountability A scenario framework (HellVen) for stress-testing whether current AI strategies are likely to produce outcomes boards would endorse under scrutiny A more calibrated perspective on AI’s near-term trajectory, distinguishing intelligent assistance from AGI and assessing which predictions about the next decade are well-grounded

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 Brett Johnson He built ShadowCrew, the forum widely credited as the template for modern darknet marketplaces, and can walk a security team through the attacker logic he once ran at scale. The U.S. Secret Service publicly named him “The Original Internet Godfather” and embedded him in Operation Anglerphish; that cooperation history gives his sessions a provenance no academic or vendor speaker can match. He translates criminal tradecraft into board-level language: why a particular control matters, which fraud type is about to spike, where identity verification actually breaks down. Named advisory and client work spans the FBI, Microsoft, Visa, LexisNexis, and AARP, which means his examples are not theoretical and his audience references are checkable. He is comfortable with the awkward part of his own story, which is what makes him credible to senior security and fraud leaders who have heard every generic “hacker keynote” already. Biography highlights Co-founder and administrator of ShadowCrew (2002-2004), widely cited as the precursor to modern darknet fraud marketplaces. Convicted of 39 felonies, placed on the US Most Wanted list, escaped federal custody, recaptured and served a federal sentence. U.S. Secret Service confidential informant under Operation Anglerphish, embedded on ScandinavianCarding and CardersMarket. Founder of Anglerphish Security, advising Fortune 500 financial services, retail, and technology firms on fraud and darknet intelligence. Host of The AnglerPhish Podcast on cybercrime, scams, and identity theft. Featured in Kevin Poulsen’s “Kingpin” and covered by The New York Times, NBC, CNN Money, Wired, and Vice. Biography ShadowCrew went live in August 2002 and ran for barely more than two years before the Secret Service shut it down. In that window it wrote the operating manual that darknet marketplaces still use. Brett Johnson, under the handle GOllumfun, was one of three co-founders and an administrator on the forum. After the 2004 takedown he avoided the first wave of arrests, was picked up in 2005 on separate charges, agreed to cooperate with the Secret Service, then continued committing tax fraud while working as an informant. He was placed on the US Most Wanted list, recaptured, sent to federal prison, escaped, recaptured again, and eventually served out a federal sentence. What separates him from the standard former-hacker speaker is the specificity of what he built. Modern identity theft, account takeover, card-not-present fraud, and organised tax-refund fraud all trace back through methods he helped industrialise. Security and fraud leaders at banks, payment networks, and retailers book him because he can describe, step by step, how an attacker selects a target and defeats controls the defenders thought were working. He now runs Anglerphish Security and advises named clients including the FBI, Microsoft, Visa, LexisNexis, AARP, and Neustar. His story has been told in Kevin Poulsen’s “Kingpin” and across The New York Times, NBC, CNN Money, Wired, and Vice, which is a useful external check for buyers who want to verify the biography before the contract. Key speaking topics Cybercrime and the modern fraud economy Identity theft and account takeover Social engineering and phishing Darknet marketplaces and threat intelligence Insider perspectives on financial crime Fraud prevention for banks, payment networks, and retail Ideal for CISOs, heads of fraud, and heads of financial crime at banks, card networks, and fintechs Retail, e-commerce, and payments leadership teams exposed to card-not-present and account takeover fraud Boards and audit committees seeking an unvarnished attacker-side briefing Government and public-sector programme leaders responsible for benefits, tax, or identity systems Audience outcomes A clear picture of how organised cybercriminals select targets, test defences, and cash out. Named examples of where existing fraud and identity controls tend to fail in practice. A sharper sense of which internal signals to take seriously and which to stop paying for. Concrete language to brief a board or executive committee on fraud exposure without resorting to vendor slides.

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 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

Why organisations work with Jerry Kaplan He has built the technology he now teaches. Two of his four startups went public, his team at GO Corporation produced the first commercial tablet operating system, and he co-founded the first internet auction site five months before eBay. He teaches the social and economic impact of AI at Stanford and writes the Oxford University Press primers that policymakers and boards actually cite. That sits between technical depth and decision-grade clarity. His framing of AI’s labour market consequences in Humans Need Not Apply was selected by The Economist as a top ten science and technology book of 2015, well before generative AI made the question urgent. He approaches AI as a question of competitive advantage, regulation, and capital allocation, not as a feature roadmap. Boards leave with a sharper view of what they are actually deciding. Biography highlights Adjunct Lecturer, Stanford University (Ford Dorsey Master’s in International Policy; Department of Computer Science) Fellow, Centre for Legal Informatics, Stanford Law School Founding CEO, GO Corporation (PenPoint OS, tablet computing) Co-founder, Onsale Inc., the first internet auction site (IPO 1997) Author, Generative Artificial Intelligence: What Everyone Needs to Know (Oxford University Press, 2024) and Humans Need Not Apply (Yale University Press, 2015), an Economist top ten book PhD in Computer and Information Science, University of Pennsylvania; inventor on more than a dozen patents; over twenty peer-reviewed papers across ACM and IEEE journals Biography Tablet computing, online auctions, expert systems, and one of the first commercial personal information managers were all built in Silicon Valley before most people had heard of them. Kaplan was inside each of those stories. He was founding CEO of GO Corporation, the company whose PenPoint operating system anticipated the iPad by two decades, and he co-founded Onsale, the first internet auction site, five months before eBay. That operating history is the reason his current work on artificial intelligence is taken seriously by board-level audiences. He teaches the social and economic impact of AI at Stanford and is a Fellow at the Centre for Legal Informatics at Stanford Law School. The Oxford University Press primers he writes, including Generative Artificial Intelligence: What Everyone Needs to Know, are designed for readers who need to decide, not just to understand. His 2015 book Humans Need Not Apply, published by Yale University Press and named one of The Economist’s top ten science and technology books that year, argued that AI’s labour market effects would arrive faster than most institutions were preparing for. The argument has aged unusually well. It now reads as a brief on the question every executive committee is asking about generative systems. The combination of a working technologist, a serial founder with two IPOs, and a current Stanford lecturer is rare. Kaplan uses it to translate AI from a procurement conversation into a strategic one, and to tell senior audiences where they are exposed. Key speaking topics Generative AI and the executive agenda AI and the future of work AI regulation and public policy Competitive advantage in an AI-led economy Industry-specific AI disruption AI risks, dangers, and safety Silicon Valley entrepreneurship and innovation Ideal for Boards and executive committees weighing capital allocation to AI C-suite leaders setting AI strategy, governance, and workforce policy Policy and regulatory audiences confronting AI rules and competition Industry leadership offsites in financial services, technology, healthcare, and professional services Audience outcomes A working mental model of what generative AI can and cannot do, stripped of vendor framing A sharper read on where AI will reshape the workforce and on which timelines A view of the regulatory and geopolitical pressures shaping AI competition Specific questions a board should be asking management about its AI exposure A historical perspective on technology adoption cycles, from someone who has run several

Why organisations work with Ayesha Khanna Her named “pilot purgatory” diagnostic (the finding that over 88% of AI pilots never scale) gives leadership teams a precise frame for why their programmes stall, and a structured path to production. This is a field-tested argument with a clear strategic implication. She brings board-level fiduciary exposure most AI advisors do not hold: Johnson Controls (smart buildings), NEOM Tonomus (national smart city infrastructure in Saudi Arabia), Mercy Healthcare (US), and L’Oréal’s Scientific Advisory Board. She has governed AI strategy, not only advised on it. Her advisory work spans both national AI strategy: she helped shape Singapore’s SkillsFuture programme and served on the IMDA board. Organisations get a strategist who has worked both sides. Her previous board position on AVEVA and her current role at Johnson Controls give her direct insight into how AI and digital transformation are reshaping critical infrastructure, highly relevant to sectors where technology adoption has long tail consequences. As the author of the forthcoming Gamechanger, a practical business strategy guide to generative AI, she is building the intellectual framework for the current adoption challenge while it is happening, not retrospectively. Biography highlights Co-Founder and CEO, Addo AI; a global AI solutions firm whose clients have included Singtel, SMRT, Pfizer, Sompo Holdings, Habib Bank, and Smart Dubai Board director: Johnson Controls (NYSE: JCI); NEOM Tonomus, Saudi Arabia; previously AVEVA (FTSE100, prior to Schneider Electric acquisition) Scientific Advisory Board, L’Oréal; Consumer Committee, Mercy Healthcare; Singapore HTX (homeland security technology) Member, World Economic Forum Global Future Councils; formerly on Singapore IMDA board and Ministry of Education SkillsFuture steering committee Named one of Southeast Asia’s groundbreaking female entrepreneurs by Forbes; Edelman Top 50 AI Creators (2025); Salesforce 16 AI Influencers to Know (2024) Author of Straight Through Processing (2008) and co-author of Hybrid Reality (TED Books, 2012); forthcoming Gamechanger on generative AI business strategy Published and quoted in The New York Times, Harvard Business Review, Forbes, TIME, Foreign Policy, and Strategy+Business PhD, Information Systems (digital innovation in smart cities), London School of Economics; MS, Columbia University; BA (Honours), Harvard University Biography Ayesha Khanna has spent two decades at the point where AI strategy meets the decisions boards have to make. Her argument is specific: most organisations do not fail at AI because they lack ambition or budget. They fail because they build pilots without the business-outcome architecture to scale them, what she calls “pilot purgatory,” a state that traps over 88% of enterprise AI programmes. Ayesha works with large corporations and governments on the full adoption journey, from strategy through deployment, with clients that have included Singtel, SMRT, Pfizer, Sompo Holdings, Habib Bank, and Smart Dubai. Khanna has spent more than a decade on Wall Street developing large-scale trading, risk management, and data analytics systems. Her PhD from the London School of Economics focused on digital innovation in smart cities, grounding her practical work in a rigorous analytical framework. What sets Khanna apart from most AI strategists is the nature of her board exposure. She currently holds directorships at Johnson Controls (smart building technology, NYSE: JCI), NEOM Tonomus (the technology infrastructure body for Saudi Arabia’s $500 billion NEOM smart city project), and Mercy Healthcare, and sits on L’Oréal’s Scientific Advisory Board. She previously sat on the board of AVEVA when it was an FTSE100 company. These are not advisory relationships, they are governance roles in which she has been responsible for technology strategy at fiduciary level, across healthcare, infrastructure, and consumer science simultaneously. Her forthcoming book, Gamechanger, extends this practitioner perspective into a structured business playbook for generative AI. Her two earlier books, Straight Through Processing (2008) and the TED book Hybrid Reality (2012), co-authored with Parag Khanna, established her early argument that the human-technology relationship was shifting from coexistence to co-evolution. That argument has aged well. Khanna has been recognised by Forbes as one of Southeast Asia’s groundbreaking female entrepreneurs, named to Edelman’s Top 50 AI Creators in 2025, and quoted across The New York Times, Harvard Business Review, and Foreign Policy. Key speaking topics Generative AI strategy and enterprise adoption AI governance and risk frameworks Smart cities and urban technology infrastructure AI in financial services and healthcare Future of work in an AI-driven economy National AI strategy and public-private collaboration The Hybrid Age: human-technology co-evolution Ideal for CEOs and C-suite leadership teams building or scaling enterprise AI programmes Board directors and non-executive directors responsible for technology governance and digital risk oversight Government and public sector leaders developing national AI strategies or smart city initiatives Financial services, healthcare, and infrastructure sector organisations at advanced stages of AI deployment Audience outcomes A named diagnostic for why AI pilots stall before scaling, and a framework for building the business-outcome architecture needed to move from experimentation to production Practical understanding of what AI governance looks like at board level: what boards need to own, what they need to delegate, and what risks require a formal framework Sector-specific examples of organisations generating measurable revenue and operational impact through AI, drawn from a client base across telecoms, finance, healthcare, and infrastructure A structured perspective on the “Hybrid Age” – the shift in how humans and AI systems operate together – and what it means for workforce strategy and organisational design Criteria for prioritising AI investment by business outcome rather than technology capability, applicable across industries at different stages of digital maturity

Why organisations work with Karl Lillrud He speaks about AI from the seat of someone who has run digital commerce businesses since the late nineties and is currently building one. PodManager AI, his AI-driven podcast production platform, is shipping to paying customers as he speaks about AI to other operators. His work connects AI directly to revenue mechanics: pricing, conversion, retention, and customer acquisition, the parts of the P&L the C-suite is actually accountable for. Nine published books, including «You, Me and AI» and «AI, Your Second Brain: Evolve or Go Extinct», give leadership teams a shared language for the second-order effects of AI on work, governance, and customer trust, beyond the productivity headlines. Membership of the Harvard Business Review Advisory Council and recognition in Thinkers360’s AI thought-leader rankings signal that the perspective travels at board level, not just at the developer conference. The client footprint, including Volvo, Spotify, Klarna, H&M, AstraZeneca, and 3, gives him pattern recognition across regulated and consumer-facing businesses that few AI speakers can match. Biography highlights Founder of PodManager AI, an AI-driven podcast production platform he is currently building. Founder of Pricelizer, a Swedish e-commerce startup named to CNBC’s 20 hottest startups list in 2015. Author of nine books on AI and digital business, including «You, Me and AI» and «AI, Your Second Brain: Evolve or Go Extinct». Member of the Harvard Business Review Advisory Council since August 2024. Two-time TEDx speaker. Recognised across multiple years in Thinkers360’s AI thought-leader rankings and Global Gurus’ Top 30 Motivational Speakers list. Public engagement footprint includes Volvo, Spotify, Klarna, H&M, AstraZeneca, Qliro, 3, Tele2, and TUI. Biography Most AI keynote speakers have never run a checkout flow at scale. Karl Lillrud has. He has been building digital businesses since the late nineties, founded Pricelizer in 2013 to solve the abandoned-cart problem he kept hitting as an operator, and watched it land on CNBC’s 20 hottest startups list in 2015. He is now building PodManager AI, an AI-driven podcast production platform shipping to paying customers. That operator history, still in present tense, is the through-line for everything he says about artificial intelligence. His books reflect the same instinct. «You, Me and AI» treats the technology across 54 chapters covering work, creativity, education, governance, and the human-machine boundary, rather than as a productivity story. «AI, Your Second Brain: Evolve or Go Extinct» focuses on how leaders and their teams should actually integrate the tools day to day. The two sit inside a wider catalogue of nine published books, written for people who have to make decisions, not people studying the field. The institutional signals followed the work. Thinkers360 has recognised him across its AI thought-leader rankings. Global Gurus has placed him repeatedly in its Top 30 Motivational Speakers ranking. In August 2024 he joined the Harvard Business Review Advisory Council. Volvo, Spotify, Klarna, H&M, AstraZeneca, Qliro, and 3 sit on a public client list that runs across consumer retail, telecoms, and pharma. What a buyer is paying for is the translation layer between board ambition and operating reality. Lillrud has been the person trying to ship the next quarter’s numbers, and he is still in the chair, building an AI product while advising executives who have AI strategies they cannot yet execute. The argument lands because he has been on both sides of the table. Key speaking topics Artificial intelligence and the C-suite agenda AI in retail and consumer experience Digital commerce and customer acquisition Innovation and business model reinvention Leadership in technology-driven organisations AI ethics and governance Future of work in the AI era Ideal for Boards and executive committees moving from AI strategy approval to execution. CEOs, CMOs, and chief digital or commerce officers in retail, telecoms, and consumer brands. Innovation, transformation, and AI leads inside large enterprises building the operating model for AI. Founder and growth-stage leadership teams using AI as a commercial wedge. Audience outcomes A sharper read on which AI use cases move commercial metrics and which are theatre. A vocabulary for discussing AI’s second-order effects on customers, employees, and brand trust at board level. Concrete reference points from operators who have shipped AI inside consumer-facing businesses. A clearer view of where leadership attention should sit next versus where it can wait. Confidence to challenge vendor narratives and refocus internal AI portfolios on revenue impact.