AI, Credit Scores and the Hidden Risks of Algorithmic Banking

What if switching from premium coffee to a cheaper store brand could influence how a bank views your financial stability?

Artificial intelligence is rapidly moving into banking, lending, credit decisions, mortgage underwriting, trading, fraud prevention, and customer service. In this episode, David and Sophia explore what happens when increasingly sophisticated algorithms begin making decisions about your money—and what consumers need to know about the systems operating behind the screen.

The conversation examines how generative AI is being deployed across financial services, including technology that can analyze financial documents, evaluate creditworthiness in milliseconds, personalize loan offers, and dramatically accelerate mortgage underwriting.

But greater speed and convenience also introduce serious questions about transparency, privacy, discrimination, and accountability.

In this episode, you’ll hear about:

• How banks are adopting generative AI across financial services

• Why AI could make mortgages, loans, and banking services faster

• How behavioral purchasing data could influence credit decisions

• Why complex AI models can become difficult for banks to explain

• The role of adverse action notices when credit is denied or reduced

• How historical lending data can reproduce algorithmic bias

• The $2.5 million Earnest Operations student-loan settlement discussed in the episode