A recent op-ed by Seth Frotman and Tara Mikkilineni, both former senior officials at the Consumer Financial Protection Bureau, has sounded the alarm on what they describe as a coordinated effort by the Trump administration to roll back long-standing federal fair lending protections, potentially impacting how consumer data is used and how financial products are marketed in the digital economy.
Why it matters: Professionals in the credit and collection industry are rapidly adopting digital tools, AI models, and data-driven strategies to engage consumers and manage portfolios. The rollback of fair lending enforcement under the Equal Credit Opportunity Act (ECOA), if it continues, could have far-reaching implications for how institutions build digital engagement tools, segment audiences, and evaluate risk, especially as state regulators and private litigants step in to fill the void.
The background: The article focuses on the CFPB’s actions under Russell Vought, its Trump-appointed leader and a contributor to Project 2025. One flashpoint was the CFPB’s attempt to rescind a settlement with Townstone Financial, which had been accused of discriminatory lending practices in Chicago.
“Even Trump-appointed judges are willing to rein in the administration,” the authors note, quoting the judge who rejected Vought’s move to reverse the Townstone settlement as “an act of legal hara-kiri that would make a samurai blush.”
But the authors argue this was not an isolated incident; it’s part of a broader strategy to dismantle enforcement against discriminatory lending. “The CFPB is now terminating settlements, as well as declining to enforce future compliance with the law prohibiting redlining and discouragement.”
The digital discrimination threat: Frotman and Mikkilineni paint a troubling picture of how Big Tech and finance could combine to digitally discriminate based on data-derived assumptions. Algorithms, particularly through the use of generative AI, can segment consumers without transparency or oversight.
“Companies can show or exclude certain products — and even individualize the price — based on assumptions… A consumer may never learn about better products… because they do not fit the ‘profile.’”
They warn of a future where financial institutions and tech companies use data proxies like online shopping behavior to filter and price financial products, perpetuating digital redlining and steering vulnerable consumers toward higher-cost, lower-quality offerings.
Call to action: With the CFPB stepping back, the authors call on state attorneys general and regulators to act.
“States need to prioritize strengthening, expanding, and enforcing their own fair lending laws… including laws addressing discriminatory targeting of advertising and surveillance pricing.”
Among the proposed steps:
- Enforcing transparency and “explainability” in decision models.
- Expanding private plaintiff standing in fair lending claims.
- Banning use of known proxy data and enforcing stronger privacy laws.
The bottom line: For those in the credit and collection space, this commentary is a signal to closely monitor both regulatory developments and their own use of consumer data. As more firms rely on digital targeting and AI-driven segmentation, the risk of unintentional bias — and potential state-level enforcement — is rising.
“The Trump administration’s attack on fair lending… is a wake-up call,” the authors conclude. “We must make a long-term investment in private enforcement… and enforce laws that will keep consumers safe from the very real harms of these technologies.”
This debate will undoubtedly shape how financial institutions engage with consumers — and how they deploy data — in the months and years ahead.
