US Consumer Lending Trends 2026

AI Expands Credit Access, Alternative Data Broadens Eligibility, and Platforms Shape Borrower Discovery

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About This Report
AI is turning lending into a constant, embedded experience, while alternative data is expanding who qualifies. Real-time signals enable timely, personalized offers—but reshape risk, timing, and control as borrowing moves into everyday digital moments.
Table of Contents

AI-driven lending uses real-time signals to embed credit into digital journeys, expanding reach and personalization as alternative data broadens eligibility. This heightens risks around timing, borrower behavior, and control as credit becomes continuous and upstream in borrowing decisions.

Key Question: How are AI, embedded finance, and alternative credit models reshaping growth, pricing, and credit stability in US consumer lending?

Key Stat: Banks’ share of mortgage originations has fallen below a third as of 2024, per the most recently available data from the Consumer Financial Protection Bureau (CFPB)—reflecting how retail lending is shifting toward more distributed, point-of-sale channels.

authors

Myra Thomas

Contributors

Grace Broadbent
Suzy Davidkhanian
VP, Content
Tiffani Montez
Emma Noyes
Senior Graphic Designer, Data Visualization
Amy Rotondo
Director, US Research
Matt Torpey
Senior Data Visualization Editor
Jherr Daven Velasco
Data Visualization Editor
Julia Woolever
Director, Report Editing
Ali Young
Senior Copy Editor and Manager of Content Operations
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