Long-term AI: Signals, Agents, and New Risks

Welcome back to the Fintech Takes podcast. I’m Alex Johnson, joined by Kiran Aware (Chief Consumer Credit Officer at LendingClub) and Michelle Young (Credit Product Lead at Plaid) for our new series Facing Credit, where we unpack what’s happening in credit and lending right now.

Today’s conversation explores credit underwriting as a system, and why more lenders are finally starting to treat it that way.

First, we zoom out to the macro picture and ask how lenders are navigating a market full of uncertainty and changing consumer behavior. Kiran explains how LendingClub thinks about borrower stability, while Michelle shares what lenders across the market are looking for in a more complete picture of risk.

Next, we focus on credit underwriting as a system. Kiran breaks down how LendingClub has built a full decisioning operating system across underwriting, pricing, verification, fraud, servicing, and collections. Michelle explains why alternative data is no longer a useful label, and why user-permissioned cash flow data has become more important across origination, verification, and monitoring.

Finally, we tackle AI in credit, near-term and long. Explainability requirements mean LLMs won't land in core underwriting tomorrow, but AI’s already changing what's possible in verification and fraud workflows. The longer horizon points toward credit systems that identify new signals autonomously and self-optimize in real time. But what happens when consumers have AI agents making decisions on their behalf, and fraudsters are using the same technology to attack the system?

Tune in for a rich conversation about what lenders are really building when they underwrite credit (and why the industry is more open than ever to reimagining the system itself).

This episode is brought to you by Plaid. 

Plaid helps lenders approve more creditworthy borrowers without taking on more risk, combining real-time cash flow data with behavioral insights. It’s a fast, familiar experience people trust, and that actually converts. Learn more at www.plaid.com/ftt

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LinkedIn: https://www.linkedin.com/in/michelle-boros-young-5a586983/

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