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Auto lenders turn to AI to cut loan processing costs and time
Behind every auto loan is a mountain of paperwork—40 to 80 pages per deal. (3 min. read)

Auto lending—like almost every other industry these days—is undergoing a profound AI-driven transformation.
The promise: Faster approvals, fewer human errors, and major cost savings. But for many in the industry—the shift isn’t exactly comfortable.
Right now—about 80% of new vehicles in the U.S. are financed, and every one of those loans comes with a stack of paperwork—40 to 80 pages per deal.
Lenders have to manually process, verify, and ensure everything is compliant, which adds up to millions of hours and a ton of operating costs.
But AI technology can scan documents, verify identities, and crunch thousands of data points in seconds—things that humans simply can’t do at scale.
For example—Upstart, an AI-driven lending platform is investing heavily in auto refinance automations. The goal is to eliminate the need for consumers to upload documents and reduce manual work in the approval process.
And Capital One just rolled out Chat Concierge, an AI-powered tool designed to help dealerships answer customer questions and explore financing options.
The system uses multiple AI “agents” working together under a master AI to assist both dealers and buyers in real-time.
Why it matters: According to PwC, automating data extraction alone can slash 30-40% of the hours spent on manual data entry. That means lenders can process loans faster, make decisions more efficiently, and potentially offer better rates.
But some dealers are skeptical: A J.D. Power study found that 55% of dealer finance teams are uncomfortable with AI determining loan approvals—a 5% increase from last year.
Their biggest concerns? Losing human interaction, AI’s lack of flexibility, and the potential for job displacement.
For dealers—lending is about working through complex situations, understanding a customer’s unique financial picture, and making judgment calls that AI simply can’t.
And while AI can flag fraud risks and automate background checks, many dealers worry that it could also miss important nuances that a human would catch.
Patrick Roosenberg, senior director of automotive finance intelligence at J.D. Power, puts it this way: “Lenders need to leverage past experiences and lessons learned from previous technological shifts. Dealers who embraced digital retailing ultimately improved their lending processes—AI could do the same.”
Bottom line: AI is transforming auto lending, simplifying what was once a time-consuming, paper-heavy process. But not everyone’s convinced it’s a win for the industry.
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