AWI Lunch and Learn: Breaking the Double Debt Cycle
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Wed, Apr 8, 2026
12 PM – 1 PM EDT (GMT-4)
243 Corwin Hall
Princeton, NJ 08544, United States
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This talk argues that AI-powered financial infrastructure offers a realistic path to disrupting that cycle by changing who is legible in the financial system. When lenders can analyse cash flow patterns, mobile money data, and operational signals instead of relying solely on story-telling prowess, collateral and credit history, a different set of businesses becomes fundable. Those businesses can grow, win contracts, and keep development spending circulating domestically.
Drawing on practical experience building AI credit assessment and investment management tools for financial institutions across Africa, the talk will move from the macro-level problem to concrete examples of what this looks like in practice: a microfinance lender in Uganda scoring borrowers differently, a development finance institution screening deals in hours instead of weeks, and the emerging data infrastructure that connects them.
Join Nic Rawhani, the CEO and cofounder of Vula, a London-based AI company building investment management and open finance infrastructure for African financial markets, for a lunchtime talk and discussion. Learn about how AI-powered financial infrastructure offers a realistic path to disrupting investment structures that disadvantage African players by changing who is legible in the financial system. The event is open to all Princeton undergraduate and graduate students regardless of identity.
Lunch will be provided to all attendees.
Food Provided
Where
243 Corwin Hall
Princeton, NJ 08544, United States
Hosted By
Co-hosted with: Program in African Studies, Africa World Initiative (OWNER)