The Economics of AI

A one-day workshop for business leaders on the economics of AI and adaptation strategies

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the details

Hear from four esteemed AI experts whose research and insights are shaping the future of artificial intelligence.

Delivered in partnership between the Oxford University Business Economics Programme and Source Global Research, this workshop delves into the risks, opportunities, and market shifts driven by AI technologies.

Discover how AI is transforming consulting services, client strategies, and business landscapes. Gain insights from leading academics whose work influences global AI discourse. Don’t miss the opportunity to learn from pioneers at the forefront of AI research and application.

Location: Oxford and Cambridge Club, 71 Pall Mall, London, SW1Y 5HD

Date: Thursday, 12 June  2025

Time: 09:00 – 15:00

Cost: £1,900.00

Key Benefits:

  • Insights: Understand the Al value chain and its reshaping of business and markets.
  • Future-Proof Strategies: Practical applications for adapting to the AI economy.
  • Competitive edge: Grasp the broader forces shaping your business, including AI-driven changes to the labour market and regulatory environment.
  • Expertise: Cutting-edge economics presented by leading academics and industry experts.

If you have any questions,  please don’t hesitate to get in touch at oubep@economics.ox.ac.uk

Speakers

Jean-Paul Carvalho

Jean-Paul Carvalho is an Associate Professor in the Department of Economics at the University of Oxford. His research in Political Economy and Game Theory explores how social, cultural, and political forces shape economic outcomes over time.

An important theme is the impact of artificial intelligence for society, particularly the risks it poses to the labour force, democratic institutions, social cohesion, and economic opportunity. Rather than focusing on the technology itself, he brings a human perspective to the broader systems and power structures AI may transform.

His work aims to inform a deeper understanding of how societies adapt to rapid change, and how policy and institutions can support resilience in the face of technological disruption.

Dr. Jeremy Large

Jeremy is an economist and data scientist at INET, Oxford and a visiting professor at HEC Paris. Jeremy teaches Economics, AI, and Investment Management. He has research interests in the area of demand estimation, where he seeks to understand people’s choices about what to buy from among the wide and complex array of products on offer in today’s economy. This work can help design good policies, such as setting tax and tariffs. In the past Jeremy has been a Fellow of All Souls College, Oxford, and a Quantitative Portfolio Manager at Tudor Investment Corporation.

Alexei Parakhonyak

Alexei is an Associate Professor of Economics in the Department of Economics at the University of Oxford and a Tutorial Fellow at Lincoln College.

His main research interest is industrial organisation, with a focus on consumer search, data, social networks, and digital marketplaces. He is particularly interested in how digital platforms develop and how they collect data, and how they use AI to reach and retain customers.

Noam Yuchtman

Noam is the Drummond Professor of Political Economy in the Department of Economics at the University of Oxford and All Souls College. In addition to his role at Oxford, Noam is a Managing Editor at the Review of Economic Studies. Noam’s research is focused on topics in the fields of political economy, economic history, and labour economics. His most recent work has explored AI firms in China as well as the relationship between AI and authoritarianism.