Autonomous 9th Annual Future of Commerce Symposium
Logotype for Pagaya Technologies Ltd

Pagaya Technologies (PGY) Autonomous 9th Annual Future of Commerce Symposium summary

Event summary combining transcript, slides, and related documents.

Logotype for Pagaya Technologies Ltd

Autonomous 9th Annual Future of Commerce Symposium summary

8 Jan, 2026

Business model and differentiation

  • Operates as a B2B2C white-label platform, connecting lenders and institutional investors to facilitate consumer loans, primarily in the U.S.

  • Uses AI-driven underwriting to help lenders approve customers outside their traditional credit parameters, increasing approval rates and efficiency.

  • Revenue is generated through fees from lenders and investors, typically 3–4% per loan, with some partners paying up to 6%.

  • The model improves customer acquisition costs for partners and builds a data-driven moat through proprietary learning from millions of transactions.

  • Pre-funds loans by raising capital before lending, ensuring stability and flexibility in funding sources.

Market trends and growth areas

  • Personal loans account for about 60% of production, with auto loans as the second largest segment.

  • Buy now, pay later (BNPL) and point-of-sale financing are rapidly growing, with increasing bank investment and technology adoption.

  • BNPL is expected to become a much larger share of production and a booming credit market.

  • The company is the largest personal loan ABS issuer in the U.S., providing strong insights into both consumer credit and capital markets.

Funding environment and loan performance

  • Recent ABS transactions achieved the lowest cost of capital since 2022, with strong demand across tranches.

  • Funding markets are healthier than in the past two to three years, aided by Fed rate cuts and improved loan performance.

  • Latest loan vintages show the lowest delinquency rates since 2021, with performance improving since 2023.

  • Short loan durations (4–30 months) allow for rapid course correction in response to market changes.

  • Borrowers typically have strong credit profiles, with high incomes and long credit histories.

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