Which AI future are you planning for? Our outlook and new AI scenarios

The scale of AI’s impact on the world economy is still deeply uncertain. In this webinar, we examine AI’s likely effect on productivity growth, the implications for labour markets, and the explicit AI assumptions embedded in our baseline forecast.

To get a handle on that uncertainty, we introduce our new suite of AI scenarios, built in the Global Economic Model. Each scenario turns the key levers – AI adoption, productivity gains and labour market disruption – into fully specified, internally consistent outcomes across the full range of macroeconomic and financial variables, at both country and global level. Join us to see how you can challenge your own assumptions against our full suite of AI scenarios.

This webinar is being held on our new platform, ON24. If you do not receive your confirmation email, please check your junk and spam folders.

Speakers

Daniel Moseley

Dan is a Lead Economist in the Macro Modelling and Scenarios team, based in London. Since joining Oxford Economics in 2018, Dan has worked on a range of consulting projects, regulatory stress tests, bespoke scenario analysis and econometric modelling projects. Dan is responsible for the publication of our long-run macroeconomic scenario projections, the Megatrends Scenarios service.

Associate Director - Scenarios and Macro Modelling

Adam Slater

Adam Slater is a lead economist at Oxford Economics, responsible for contributing to and helping to communicate Oxford Economics’ global macroeconomic view, including writing for and helping edit regular publications. He has a particular interest in developments in financial markets. Before joining Oxford Economics, Adam spent more than ten years working as an economist and strategist in the City of London for Nomura, Rabobank, and Calyon.

Lead Economist