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ISPP Seminar Series, 29 January 2026 Presenter: Professor Diane Coyle (Bennett School of Public Policy, University of Cambridge) Chair: Professor Almudena Sevilla (Department of Social Policy, LSE) Abstract: As generative Artificial Intelligence (AI) advances, it is expected to drive profound transformations in the structure of production and consumption, beyond those already brought about by digital technology, as well as accelerating economic growth. However, capturing AI’s contributions within existing measurement frameworks presents significant challenges, both familiar and new, and it will be challenging to see signs of transformation in current statistics, particularly as it affects underlying economic structures. We discuss measurement along the entire AI ‘supply chain’: inputs to AI across the stack; AI outputs; the measurement challenges transformative AI creates across the rest of the economy; transformation of business processes; transformation of work and consumption; and ultimately the measurement of productivity and welfare. Many of these issues are not conceptually new (although some are), but they will be significantly exacerbated by transformative AI. Our intention is to identify what economic statistics could reveal as AI becomes transformative. Presenter Bio: Diane Coyle is the Bennett Professor of Public Policy at the University of Cambridge and Research Director of the Bennett School of Public Policy. Her own research focuses on the economics of AI and digital, and on economic measurement. Her latest book is The Measure of Progress: Counting what really matters. Diane is currently a member of the UK Government’s Industrial Strategy Council and advises the Competition and Markets Authority. She has served previously in a number of public service roles. Diane was awarded a DBE in 2023 for her contribution to economics and public policy. She is the course director for the new MPhil in Digital Policy: https://www.bennettschool.cam.ac.uk/s...