Bank technology

"AI may not take your job, but somebody who knows AI will," says Raymond George, CIO of Clearview Federal Credit Union.

If the next phase of digital money policy is to succeed, it must grapple with a simple truth: People do not experience money through legal categories. They experience it through use. That's a fact that supervision must account for.

Experts say regulators will be looking more closely at know-your-customer compliance in the wake of U.S. strikes on Iran.

Fintech lenders are positioned to help businesses navigate the latest round of global tariffs announced by President Trump, even as the volatility causes overall decreases in loans.

The threats posed by financial criminals, from fraudsters to money launderers, are evolving at a pace that far outstrips the education of bankers charged with combating them. That needs to change.

Decisions about the kind of blockchains to use in rolling out banking products creates future path dependencies. It's important that banks get this decision right.

The Brazilian neobank attributed a Q4 boost in its credit portfolio to its AI-powered underwriting tool, but expenses caused it to miss Wall Street estimates.

The investment broker announced a real-time trading and settlement option for its tokenized money market fund through USDC stablecoins and the ethereum ledger.

The stock exchange is using the artificial intelligence extensively throughout the organization, including in development of a distributed ledger for tokenized securities.

If the company gets final approval, it will be the newest crypto firm to receive a charter in recent months.

In tests, generative AI models gave different answers to questions about banks, and those answers changed as users added new prompts.

The headlong rush to apply AI to all sorts of internal systems runs the risk of damaging consumer trust in the industry. Banks should look to their history and be deliberate about how they integrate AI into their systems.

The platforms, where bets are placed on everything from U.K. soccer teams to the price of bitcoin, are getting traction from investors and attention from regulators.

Banks are deploying extremely powerful AI systems but expecting generalist employees to operate them safely and consistently without redesigning workflows around the technology. That virtually guarantees a bad outcome.

The stablecoin arm of Stripe recently announced its conditional trust charter approval from the OCC and a partnership with business payments fintech Payoneer.

About 70% of bank CEOs said in a recent survey that they are the AI decision makers in their companies. The reasons for this range from the huge impact AI can have on an organization to the fear of missing out. 

Doubling down on what has worked in the past — especially if it's still working now — may inadvertently trap banks into business models ill-suited for the future. Smart bankers make room for change before it is forced on them.

The fintech deal market has started to return to pre-pandemic levels, according to recent Pitchbook data, with boosts from big deals like Revolut's fundraises.

JPMorganChase, Citi, Vantage Bank and Custodia Bank have all chosen ethereum as the underpinning for blockchain projects such as tokenized deposits. The chairman of the Enterprise Ethereum Alliance explains the OG blockchain.

As artificial intelligence increasingly plays a role in the regulation of banks and other financial services firms, regulators need to be certain that these new systems aren't importing old biases into modern oversight.