Three Approaches to Mimicry in AI

ChatGPT, the AI chatbot developed by OpenAI, was the fastest growing app in history. But this achievement, as sudden and remarkable as it might seem, was simply the most recent chapter in a fascinating story that has been unfolding for almost seven decades. This lecture explores the full history of the relationship between AI and work, and how economists have tried to make sense of it. It’s a journey that begins with a remarkable gathering of minds in a non-descript mathematics department at Dartmouth University in 1956 and ends with the technological convulsions that we see around us today.

This lecture was recorded by Daniel Susskind on the 13th of January 2026 at Bernard’s Inn Hall, London

Dr Daniel Susskind is a writer and economist. He explores the impact of technology, and particularly AI, on work and society. He is a Research Professor at King’s College London, a Senior Research Associate at the Institute for Ethics in AI at Oxford University, a Digital Fellow at the Stanford Digital Economy Lab, and an Associate Member of the Economics Department at Oxford University. 

His new book, Growth: A Reckoning (2024), was chosen by President Obama as one of his ‘Favourite Books of 2024’ and was a runner-up for the Financial Times Business Book of the Year 2024. He is also the author of A World Without Work (2020), described by The New York Times as "required reading for any potential presidential candidate thinking about the economy of the future” and a runner-up for the Financial Times Business Book of the Year 2020, and co-author of the best-selling book, The Future of the Professions (2015). His TED Talk, on the future of work, has been viewed more than 1.6 million times. He is currently working on his next book, What Should Our Children Do? How to Flourish in the Age of AI. 

Previously he worked in various roles in the British Government – in the Prime Minister’s Strategy Unit, in the Policy Unit in 10 Downing Street, and in the Cabinet Office. He was a Kennedy Scholar at Harvard University

The transcript of the lecture is available from the Gresham College website: https://www.gresham.ac.uk/watch-now/economics-ai

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