CEPR Webinar Series on the Economics of Artificial Intelligence - AI 2027 Scenario Forecast

This session is designed to anticipate the trajectory of artificial intelligence and its potentially transformative impact over the coming years. A member of the team of the thought-provoking "AI 2027" scenario forecast—superforecaster Eli Lifland- presented their detailed forecast for rapid AI development in the coming years. The session outlined a plausible, concrete pathway toward potentially transformative AI emerging by 2027, paying attention to the dimensions most relevant to economists such as the automation of cognitive tasks, effects on labor markets, AI-driven acceleration in technological progress, and potential large-scale economic shifts.

Following the presentation, a discussion evaluated the scenario forecast and debate key research directions for economists preparing for these potential futures.