Webinar

Modelling the macroeconomic impacts of generative AI

28 July 2026 – 3.00pm BST (London/ 10am New York)

online

Artificial intelligence is already being adopted across economies, reshaping how firms work and beginning to feed through to productivity and labour markets. What remains deeply uncertain is the scale, speed, and distribution of its effects over the years ahead.

Oxford Economics has added a new AI scenario lever to its Global Economic Model, letting users turn different assumptions about generative AI into consistent, fully modelled macroeconomic outcomes. This webinar both introduces the capability and trains you to use it: how the lever works, how it flows through to productivity and labour market channels, and how to build and compare your own scenarios. Whether you already work in GEM or are seeing it for the first time, you will leave able to explore how AI could shape growth, employment, and productivity across countries and over time.

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

Matt De Reding

After completing a placement year at Oxford Economics between 2014-15, Matt re-joined in 2016 as a graduate. Matt initially joined the Middle East macro forecasting team, but moved into the modelling team in 2017, where he helps to develop and maintain our Global Economic Model. He completed his MSc in economics with distinction at Southampton University between 2018-19, being awarded the prize for the best performance in examinations in his course, and the Dean’s List award for outstanding performance overall and in his dissertation. He also holds a first class bachelor’s degree in economics from Bournemouth University.

Lead Economist

Max Maton

Max is an Economist in the Technical and Development team within Economic Footprint, producing economic impact analyses using computational methods.

Max has experience across several teams at Oxford Economics, including Macro and Investor Services, Macro Modelling and Scenarios, and Tourism Economics. His work has included analysis of the economics of AI, including its impact on productivity and labour markets. As part of this work, he contributed to integrating the economics of AI into Oxford Economics’ Global Economic Model (GEM). His other experience includes econometric modelling and developing proprietary quantitative indicators, as well as research into the EU’s trading relationships and structural reform in emerging markets.

Max holds a first-class degree in Economics and Politics from the University of Bath, where he received the Andrew Duke Prize.

Economist, Technical and Development team