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Webinar

Modelling the macroeconomic impacts of generative AI

28 July 2026 – 9.30am BST (London)
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
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.

Senior Economist
Max Maton
Max Maton

Max started with Oxford Economics as a placement student in 2022 and returned to the firm as a Graduate Economist in 2024. He is currently working in the Scenarios and Macro-Modelling team, producing long-term scenarios and bespoke client modelling. Max has a first-class undergraduate degree in Economics and Politics from the University of Bath, where he was the recipient of the Andrew Duke prize.

Assistant Economist, Scenarios

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28 July 2026
9:30am BST
( London )