Showing up for clients is still crucial, but using AI to deliver on financial goals matters more, says Altruist's CEO.

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 nation's largest bank said Monday that it will continue to invest in artificial intelligence, despite fears that the technology may harm lenders, and in private credit, despite concerns of cracks in asset quality.

A public-private group led by the Treasury issued the first two of six planned resources to help banks navigate the risks and opportunities of AI.

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.

Bank employees are likely adopting the OpenClaw AI assistant on the sly to boost productivity, but the tool's deep integration exposes networks to cyber threats.

The Olympics are boosting spending in Italy, large-in-part thanks to Americans. In the U.K., Barclays is reportedly leading a meeting to seek support for an existing project. The meeting comes against the backdrop of geopolitical concerns and the dominance of American-based payment firms.

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.

Banks and credit unions are pairing AI-driven efficiency with stable staffing and cross-training to scale mortgage production as originations rebound and technology expands capacity.

In a speech Tuesday, Federal Reserve Gov. Michael Barr said it was possible that artificial intelligence will boost productivity in an undisruptive way. But he said policymakers should also be wary of a financial crash if those gains are not realized or a rapid adoption that could lead to labor displacement.

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.

Financial fraud in the U.S. has become so sophisticated that it now has its own internal economy, complete with supply chains and customer service. Banks need to wake up to the reality that the landscape has changed.

The New York bank's technology leaders have been working to reengineer back-office work and give some of it to Anthropic's Claude generative AI model.

Minal Gupta has implemented new financial technology for years as an executive, and is taking the helm of her credit union as the entire industry ponders how to use real-time payments and new forms of AI.

The lender beat fourth-quarter earnings estimates but warned that a strategic shift toward auto and home equity loans will compress near-term profits.

The federal government should step in to prevent an emerging patchwork of state regulations from stifling the benefits of applying the tools of generative artificial intelligence to the mortgage market.