The news: Plaid launched new AI models built on cash-flow data to help lenders in its network make credit, fraud and, payment decisions, per a press release.
Zooming out: Fintechs are using cash flow and transaction data to approve borrowers that traditional credit scores exclude.
Why it matters: Fintechs are gaining ground on traditional banks, including in lending. Fintech’s share of combined revenues from the top 1,000 fintechs and top 1,000 banks rose from 10% in 2021 to 17% in 2025, per McKinsey's 2026 Global Banking Annual Review—in part from pushes into lending.
Plaid's models turn cash-flow underwriting from a proprietary advantage held by a handful of fintechs into shared infrastructure available to more lenders.
Banks leaning on FICO-based models now face competition from FIs in Plaid’s network that can license the AI-powered cash flow and transformer-based tools without building them in-house.
Implications for banks: Lenders that adopt cash-flow underwriting can approve creditworthy applicants that score-based models might reject, including people with thin files, recent immigrants, and gig workers with irregular income. That's a real path to new deposit and loan customers, though it isn’t risk-free.
But as providers like Plaid make these capabilities more widely accessible, alternative underwriting technology will become less of a competitive differentiator. The advantage will instead come from how effectively lenders integrate these insights into credit decisions, expand approvals responsibly, and improve customers’ overall experience.
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