Generative AI has advanced rapidly, boosting productivity but threatening to displace workers in fields once thought safe. The IMF warns up to 40% of global jobs could be affected, with sectors like finance, administration, legal, and office work most at risk. Unlike past technological shifts, AI’s pace outstrips our educational and social systems’ ability to adapt, potentially deepening inequality and weakening labor markets without strong transition policies.

Yet while many studies flag at-risk occupations, few have measured how AI-driven unemployment will impact national GDP. This project fills that gap by modeling AI susceptibility across sectors, remote-work potential, country readiness (via BCG’s ASPIRE index), and how job losses dampen consumption—which makes up 52–78% of GDP in target nations. Early insights suggest that even tech-ready, consumption-dependent economies like the U.S. and U.K. could suffer disproportionately.

By combining historical trends, sectoral analysis, and economic modeling, the study offers a quantitative framework to forecast AI’s macroeconomic effects and inform policies for a fair transition to an inclusive digital economy.