About the conference
Date: Tuesday 23 and Wednesday 24 June 2026
Format: Hybrid
Event Directors: Andrew Blake, Angus Foulis, John Power, and Jagdish Tripathy
This year’s CCBS flagship monetary policy conference will consider the impact of AI on the macroeconomy and lessons for monetary policymakers.
The programme will feature paper presentations and panel discussions examining how the adoption of AI could affect: innovation and firm level productivity; employment, wages and the distribution of income; the economy’s growth potential and the neutral real interest rate; as well as any associated monetary policy strategy. It will also consider how central banks are using AI to sharpen their analytical toolkits.
Anton Korinek (University of Virginia) will give the keynote speech at the conference.
Confirmed external speakers include Jonathan Haskel (Imperial College Business School), Leonardo Gambacorta (Bank for International Settlements), Bouke Klein Teeselink (King's College London), Maria del Rio-Chanona (University College London), and other colleagues from academia and the central banking community.
This conference will be hybrid. Please be aware we have limited availability for in-person spaces for this conference; there is no guarantee of attendance. We politely ask you to consider virtual participation if you are unable to commit to the two days of the conference. We expect virtual attendees to be mainly in listening mode, but we hope to offer some form of interaction.
You will receive a notification as to whether your application is successful or not and if you have been offered an in-person or virtual place.
Conference programme| Tuesday 23 June | |
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Opening Remarks |
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| Implications for Innovation and Productivity Chair: Catherine L Mann (Bank of England) AI as an Innovation in the Method of Innovation: Implications for Productivity Growth Speaker: Jonathan Haskel (Imperial College Business School) |
J.Haskel slides |
| Management Responses and Firm Productivity Chair: Angus Foulis (Bank of England) Profitable Adoption of Emerging Digital General-Purpose Technologies: The Role of Management Skills Speaker: Jonathan Hambur (Reserve Bank of Australia) Firm Data on AI: Cross-Country Survey Evidence from Senior Business Executives Speaker: Phil Bunn (Bank of England) |
J.Hambur slides P.Bunn slides |
| Monetary Policy Strategy Chair: Adrian Paul (Bank of England) AI and Monetary Policy: A Two-Sector New Keynesian Framework Speaker: Joshua Brault (Bank of Canada) Monetary Policy Responses to an AI-Driven Technology Shock Speaker: Giuseppe Ferrero (Banca d'Italia) |
J.Brault slides G.Ferrero slides |
| Cross-Country Evidence on AI Adoption Chair: Jagdish Tripathy (Bank of England) AI and the Economy: Heterogeneity in the Effects across Countries Speaker: Leonardo Gambacorta (Bank for International Settlements) |
L.Gambacorta slides |
| Keynote Speech: Transformative AI: Long-term Growth Prospects and Policy Responses Chair: Rohan Churm (Bank of England) Economic Growth Under Transformative AI; and Steering Technological Progress Speaker: Anton Korinek (University of Virginia) |
A.Korinek slides |
| Tools for Central Banks: Unstructured Data Chair: Marco Bardoscia (Bank of England) Forecasting Inflation with Microdata: An Adaptive Machine Learning Approach Speaker: Joe Hazell (London School of Economics) Measuring economic outlook in the news Speaker: Elliot Beck (Swiss National Bank) Generative modelling of non-linearities and joint macroeconomic distributions with neural networks Speaker: Agha Durrani (European Central Bank) |
J.Hazell slides E.Beck slides |
| Wednesday 24 June | |
| AI Exposure and Adoption: Fiscal and Employment Effects Chair: Angus Foulis (Bank of England) Productivity Gains from AI in the Private and Public Sector Speaker: Maximilian Freier (European Central Bank) Prompting Change: Firm-Level AI Adoption and Worker-Level Outcomes in Linked Administrative Data Speaker: Saman Darougheh (Danmarks Nationalbank) |
S.Darougheh slides |
| Panel Discussion on Long-term R* Chair: Huw Pill (Bank of England) AI and the Natural Rate of Interest Speaker: Ambrogio Cesa-Bianchi (Bank of England) What Next for r*? A Capital Market Perspective on the Natural Rate of Interest Speaker: Lukasz Rachel (University College London) |
A.Cesa-Bianchi slides L.Rachel slides |
| Implications for Labour Markets Chair: Jagdish Tripathy (Bank of England) AI and Jobs: A Review of Theory, Estimates and Evidence Speaker: Maria del Rio-Chanona (University College London) Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of AI Speaker: Bharat Chandar (Stanford University) |
M.d.Rio-Chanona slides B.Chandar slides |
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Long-Term Structural Change Generative AI at the Crossroads: Light Bulb, Dynamo, or Microscope? AI, productivity and innovation: cross-country evidence from microdata |
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Tools for Central Banks: Panel Discussion on Forecasting Real-Time Macroeconomic Forecasting with Time Series Foundation Models Using AI for Macroeconomic Nowcasting and Forecasting Nowcasting with Non-Traditional Data: Evidence from Egypt AI-powered forecasting using structured and unstructured data |
Y.Stucki slides K.Nakamura slides S.Shahin slides K.Lim slides |
| Closing Remarks Speaker: Huw Pill (Bank of England) |