• Moody's warns banks' growing reliance on a handful of AI providers could create systemic operational risks
• The ratings agency says AI will improve efficiency but many competitive advantages could be short-lived
• Concentration among AI model and cloud providers may increase pricing power and vendor dependence
• Regulators are expected to increase scrutiny of operational resilience and third-party technology risk
• Lloyds Banking Group continues investing heavily in AI despite expected workforce changes
• Moody's also warns AI could accelerate deposit movements and create new balance sheet risks



Banks' accelerating investment in artificial intelligence could expose the financial sector to new systemic risks as institutions become increasingly reliant on a small group of technology providers, according to a new report from Moody's.

The ratings agency said AI has the potential to transform banking by reducing costs, increasing revenues and improving productivity across the industry.

However, those benefits are unlikely to come without significant investment, and competitive pressure means many firms may struggle to translate early adoption into lasting commercial advantage.

While AI is expected to become a central component of financial services strategies, Moody's warned that the industry's growing dependence on a limited number of Silicon Valley companies could create new operational vulnerabilities, pricing pressures and concentration risks.

"The reliance of most financial firms on a relatively small set of foundation AI model and cloud computing providers risks creating a systemic dependency," the agency said.

According to Moody's, the increasing concentration of AI infrastructure means that an outage affecting a single major provider could quickly cascade across multiple financial institutions and sectors.

As AI adoption continues to deepen, regulators are also expected to place greater emphasis on operational resilience and third-party concentration risk within AI supply chains.

The agency also highlighted the emergence of "vendor dependence risk," warning that dominant providers of AI models and cloud infrastructure could eventually gain greater control over pricing as the technology matures.

That concern comes as leading generative AI developers, including OpenAI and Anthropic, continue investing heavily to build market share while facing growing pressure from investors to deliver sustainable profits.

"While this could pose credit risks to financial firms, they would nevertheless retain control over key assets, including proprietary data," Moody's said.

The report suggested that banks are not without options. Many large financial institutions already possess extensive experience negotiating complex technology contracts and are increasingly exploring open-source AI models, strategic partnerships and diversified technology strategies to reduce dependence on any single provider.

The warnings come as AI adoption accelerates throughout the financial sector.

More than three-quarters of financial firms in the City of London are already using AI in some capacity, with insurers and major international banks deploying the technology to automate administrative processes while expanding its use into core business activities such as insurance claims handling and credit assessment.

Individual banks are also committing substantial investment to AI transformation. Lloyds Banking Group recently reaffirmed plans to spend £13 billion on a long-term strategy designed to improve efficiency, attract new customers and increase shareholder returns.

Chief Executive Charlie Nunn said the strategy includes £2 billion of cost reductions that will inevitably reshape parts of the workforce.

"That is going to impact work," Nunn said. "It is going to require us to continue to reskill people and hire new people, but that's been my history for 30-odd years in financial services."

Moody's acknowledged that workforce disruption will become an increasingly important consideration as AI capabilities continue advancing.

The agency estimates there is a 20% probability that, by 2030, AI systems could perform the work currently carried out by what it described as "a solid mid-level employee."

Beyond operational change, the report also highlighted emerging balance sheet risks.

As AI-powered financial services become more sophisticated, customers may find it easier to identify and move deposits to institutions offering more attractive interest rates, increasing the possibility of rapid deposit outflows during periods of market stress.

"In this context, depositors' trust in the institution and the resilience and stability of deposit funding are critical," Moody's said.

The report concludes that while AI offers significant opportunities for banks to improve performance, success will depend on balancing innovation with resilient governance, diversified technology strategies and careful management of the new risks accompanying widespread AI adoption.