The development economics of AI: Lessons and questions

What actually changes when AI meets institutions, infrastructure, and the people inside them?

Oliver Hanney and Deena Mousa recap the Ideas in Development series on AI, drawing on conversations with Raghuram Rajan, Umar Saif, Rose Mutiso, Josh Lerner, Anton Korinek, Bruno Caprettini, Niriksha Shetty, Claire Cullen and Utkarsh Saxena.

They cover the key takeaways: why the binding constraint question matters more than the model question; what the data desert problem means for national AI strategies; why access and value capture are not the same thing; and what AI is doing to the growth escalators lower-income countries depend on. And conclude with the most important questions this series did not resolve.