This chapter explores the impact of artificial intelligence (AI) on economic growth, the labour market and household welfare in African countries, focusing on Senegal. A Computable General Equilibrium (CGE) approach was applied to model AI based on the endogenous growth literature. To this end, total factor productivity (TFP) is endogenised and expressed as a function of research and development (R&D), AI, human capital, infrastructure and public capital externalities in market sectors. The results obtained from this impact evaluation show that, on the one hand, a combination of AI, laboratory research (R&D excluding AI) and human capital offers a good option for a strong and sustainable growth path since GDP increases significantly. On the other hand, several sectors of the economy would react positively to this shock, leading to a sharp rise in the export rate relative to the import penetration rate. Demand for highly skilled labour would rise sharply in the highly skilled segments, particularly among women, due to increased public capital devoted to AI, R&D and human capital. As a result, household welfare would increase, particularly those belonging to the lower and pure middle classes in Dakar and the pure and upper middle classes in other cities, while in rural areas, it would be households belonging to the lower class and lower bound of middle classes that would benefit.