Shannon O’Neil
Bestselling Author, The Globalization Myth. Leading authority on Global Trade, Supply Chains, Mexico & Latam
Economist & Professor, Rotman School of Management, University of Toronto | Founder, Creative Destruction Lab | Co-Author, Prediction Machines & Power and Prediction | Member, Order of Canada
Ajay Agrawal built the world's largest AI startup incubator, co-authored the two defining books on AI economics, and advises governments on both sides of the Pacific — all while co-founding a company building the world's first human-like general-purpose robots. As a speaker, he gives senior leaders the strategic framework they need to stop treating AI as a tool and start treating it as the most significant power shift of their lifetime.
Want to book Ajay Agrawal as a speaker for your event? Please provide the info below and we’ll get in touch within 24h:
Ajay Agrawal is one of the world’s foremost authorities on the economics of artificial intelligence — an economist, institution-builder, and entrepreneur whose work has shaped how governments, corporations, and investors understand the strategic implications of machine intelligence. A professor at the University of Toronto’s Rotman School of Management and a Member of the Order of Canada, he combines the rigour of academic research with the hands-on perspective of someone who has built one of the most influential AI ecosystems on the planet.
AI speaker Ajay Agrawal is best known as the founder of the Creative Destruction Lab, a not-for-profit program operating across more than a dozen universities globally that accelerates science-based startups at the earliest and riskiest stage of their development. Since its founding in 2012, CDL has supported over a thousand companies spanning medical devices, quantum computing, biotech, autonomous vehicles, agriculture, energy, and pharmaceuticals — generating over $50 billion in equity value across its global network. It is the largest AI startup incubator in the world, and its alumni represent a who’s who of the most consequential technology companies to emerge from the past decade.
Agrawal’s intellectual framework for understanding AI is captured in two bestselling books published by Harvard Business Review Press. Prediction Machines introduced the idea that AI is fundamentally a radical reduction in the cost of prediction — and that this simple economic insight unlocks a clear-eyed view of which jobs, industries, and strategies will be disrupted and which will be strengthened. Its successor, Power and Prediction, goes further: arguing that when AI shifts decision-making, it doesn’t just change efficiency — it reallocates power between individuals, firms, industries, and nations. Former World Bank Chief Economist Lawrence Summers called it the best book yet on what AI will mean for everyone who participates in the economy.
Beyond the lab and the lecture hall, Agrawal has advised the U.S. government as a member of a National Academies committee on Science and Innovation Leadership for the 21st Century, and currently advises the government of Japan as a member of the International Advisory Committee for the National Institute for Information and Communications Technology. He is co-founder of Sanctuary AI — a Vancouver-based company on a mission to create the world’s first human-like intelligence in general-purpose robots — and founder of Mind Lab 56, a studio building enterprise AI solutions that leverage generative AI. He is also a research associate at the National Bureau of Economic Research, an advisory council member at the Brookings Institution, and a faculty affiliate at the Vector Institute for Artificial Intelligence in Toronto.
As a speaker, Ajay Agrawal delivers what few AI voices can: a framework that is simultaneously grounded in economic theory, tested by real-world startup experience, and calibrated for senior decision-makers who need to act — not just understand. His central message is direct: being second in the AI race is not good enough. Organizations that treat AI as a productivity tool rather than a strategic inflection point will be disrupted by those who don’t. Audiences leave with a sharper understanding of where power is shifting, how to allocate capital and talent in response, and what decisions need to be made at the CEO level — before the window closes.
AI is not simply making existing processes faster — it is shifting power between people, companies, industries, and nations. In this keynote based on his landmark book, Agrawal explains the disruptive economics of machine intelligence: how AI's ability to predict at low cost redistributes decision-making authority across every sector, and what that means for competitive strategy. With case studies drawn from his work at CDL and his advisory roles with the U.S. and Japanese governments, he maps where power is moving — and what leaders must do today to be on the right side of that shift.
Many organizations have deployed AI for efficiency gains. Far fewer have grasped what it means when AI doesn't just optimize the current business model but makes it obsolete. Agrawal draws on the economic frameworks from Prediction Machines and Power and Prediction to help senior leaders ask better strategic questions: Where in our industry is AI shifting power? Which decisions currently made by humans will be better made by machines — and what happens to the people and organizations whose authority rested on making those decisions? A session designed for boards and C-suites who need to set AI strategy, not just AI policy.
Since 2012, the Creative Destruction Lab has backed over a thousand science-based startups and watched them generate more than $50 billion in equity value. In this keynote, Agrawal distills the patterns he has observed across thousands of pitches, hundreds of companies, and over a decade of frontier AI development. What makes a science-based startup succeed? What do most corporations get wrong when trying to innovate? And what does the current generation of AI startups tell us about where the technology is actually headed? A grounded, data-rich session for investors, innovation leaders, and anyone trying to understand where value will be created in the AI economy.
As co-founder of Sanctuary AI — which is building the world's first general-purpose robot with human-like intelligence — Agrawal offers a rare insider perspective on the convergence of AI and physical automation. In this forward-looking keynote, he examines what humanoid robots will mean for labor markets, industrial strategy, and the global economy over the coming decade: which jobs are genuinely at risk, which will be augmented, and how leaders should be thinking about workforce planning in a world where the supply of intelligent labor is no longer fixed.
| Basic Data Protection Information | |
|---|---|
| Data controller | AURUM SPEAKERS BUREAU S.L. |
| Address | Parc Audiovisual de Catalunya 1, Oficina S11, 08225 Terrassa, Spain |
| Purposes | We will use your data to respond to your requests and deliver our services to you. |
| Marketing | We will only send you marketing correspondence if you have given your prior consent, which you can do by ticking the box for that purpose. |
| Lawful basis | We will only process your data if you have given your prior consent, which you can do by ticking the box for that purpose. |
| Recipients | Generally, only our members of staff who have been duly authorised may access the data that you have provided. |
| Your Rights | You have the right to know what information we hold about you, to rectify it and to erase it, as explained in the additional information available on our website. |
| Additional Information | For more information, please see “PRIVACY POLICY” on our website. |