🌍 AI for Economic Forecasting and Macroeconomic Modelling

Artificial intelligence is changing how economists, policymakers and institutions understand the global economy. This course explores how AI supports economic forecasting and macroeconomic modelling across national, regional and international economies, rather than concentrating on short-term financial-market movements.

While AI in Financial Data Analysis and Market Intelligence focuses on financial indicators and near-term market signals, this course takes a broader macroeconomic perspective. It examines inflation, employment, economic growth, productivity, business cycles, cross-country relationships and long-term structural change.

Learners will discover how AI processes large economic datasets, combines information released at different frequencies and uses alternative data to produce more timely economic nowcasts. The course examines machine learning, deep learning, generative AI and emerging AI agents used to monitor indicators, interpret economic narratives, detect turning points and analyse global spillovers.

It also explains how scenario modelling, stress testing and policy-impact evaluation help governments, businesses and financial institutions prepare for uncertainty. Learners will consider how shocks involving energy, interest rates, trade, supply chains and financial conditions can spread through an economy.

The course maintains a realistic approach to AI’s capabilities and limitations. It covers data quality, model transparency, forecast uncertainty, bias, privacy, security and human oversight. AI can strengthen economic analysis, but economists and decision makers remain responsible for interpreting forecasts, challenging assumptions and deciding how the results should be used.