In 2024, some banks were reluctant to publicly discuss their AI projects while others couldn't wait. Here's a look at the AI stories American Banker readers clicked on the most.

New tools, new partnerships and a new focus on combating increasingly complex fraud schemes will take center stage in the new year. This could be a turning point in a long-running battle.

From embedded finance to artificial intelligence to real-time processing, there are plenty of sources of competition and opportunity in the new year.

By naming David Sacks as his "AI & Crypto Czar," Donald Trump has sent a strong signal that forward-thinking regulation of the most vibrant sector of the financial services industry could be on the way.

Managing the CEO's AI could be a new responsibility of support staffers, experts say.

The integration of artificial intelligence into financial services demands a human-centered approach. This is both a moral obligation and a strategic necessity.

Numerous reports and lawsuits have criticized the health insurer for using algorithms to ramp up denials of coverage.

Financial institutions are adopting AI technology into virtually every aspect of the business. Analysts and fintechs share a framework for protecting data and bank reputations.

Some smaller banks are punching above their weight when it comes to being AI-savvy, industry observers say.

With a business-friendly crypto and AI overseer, observers expect a softer government approach to tech projects and partnerships.

There is a major opportunity out there, especially for community banks, to displace predatory lenders and earn a healthy return at the same time. It's just a question of making the leap.

A bot from nCino lets people in the commercial lending department quickly find information in loan documents and in policy manuals that are hundreds of pages long.

Rep. French Hill, R-Ark. — one of the leading contenders to chair the House Financial Services Committee next year — focused on 'debanking' of crypto and other companies in his questions to the witnesses.

Artificial intelligence systems built to assess creditworthiness are trained on data that implicitly accepts past discriminatory lending decisions as legitimate signals about borrowers today.

The two bills would require banking agencies to study artificial intelligence and its application in the banking sector, and would codify findings from an earlier AI working group formed by the committee.

The technology has the potential to democratize access to knowledge about financial services, but like any tool, it must be used carefully and responsibly.

Items include estimations of President-elect Donald Trump's impact on fintech funding, the fallout from VyStar Credit Union's tech moves and more.