Key facts
- Moody's warns that banks' race to adopt AI creates systemic dependency on a small number of tech firms.
- Risks include widespread outages, price gouging, data privacy, cybersecurity, and deposit flight.
- Over 75% of UK companies, including banks and insurers, are using AI.
- Reliance on a few foundation AI models and cloud providers could lead to systemic risk.
- Dominant AI providers may exert control over AI service pricing.
- Lloyds Banking Group plans a £13bn AI investment strategy, including £2bn in cost cuts.
The rating agency Moody's has warned that the intense competition among big banks to adopt artificial intelligence is making them overly reliant on a small number of Silicon Valley technology firms. This dependence creates vulnerabilities to widespread service outages and potential price gouging by tech companies seeking profits.
While Moody's acknowledges that AI integration will eventually lead to cost reductions and revenue growth across the financial sector, it emphasizes the substantial investments required. The agency cautioned that the benefits might be 'competed away' due to the race among rivals. Furthermore, AI adoption introduces significant risks related to data privacy, cybersecurity, fraud, and 'deposit flight,' alongside an overdependence on a limited set of tech providers.
According to a UK Treasury select committee report, over 75% of City of London companies now utilize AI, with insurers and international banks being prominent adopters. These firms are primarily using AI for automating administrative tasks and core operations like processing insurance claims and assessing creditworthiness.
Moody's report highlights that the reliance on a few foundation AI models and cloud computing providers risks creating systemic dependency. An outage at a major provider could rapidly affect numerous customers and sectors, potentially drawing increased regulatory scrutiny on operational resilience and third-party concentration within AI systems.
The AI race also poses 'vendor dependence risk,' where dominant providers could control AI service pricing. This is particularly relevant as loss-making generative AI companies like OpenAI and Anthropic face investor pressure for profitability.
Despite these risks, Moody's noted that financial firms would retain control over key assets, such as proprietary data. Many large banks and insurers have experience negotiating tech contracts and may mitigate dependency risks by using open-source AI models or forming strategic partnerships.
Lloyds Banking Group's CEO, Charlie Nunn, recently reaffirmed the bank's commitment to AI with a £13bn strategy aimed at attracting new business, enhancing efficiency, and increasing shareholder payouts, which includes £2bn in cost cuts expected to impact staff. Moody's also noted that AI could make it easier for customers to switch to higher-interest accounts, potentially leading to rapid cash movements and emphasizing the critical importance of depositor trust and funding stability.