3 weeks ago
Moody's Warns Banks Over Growing Dependence on AI Giants
Banks are starting to use artificial intelligence, called AI, to help with things like customer service and deciding who can borrow money.
AI can make banks faster and help them save money.
But Moody's, a company that checks how safe banks are, has a warning.
It says many banks are using the same AI tools and computer systems from only a few companies.
If one of those AI companies breaks down, lots of banks could have problems at the same time.
That is a bit like everyone in a class using the same pencil - if it snaps, everyone is stuck.
Moody's also worries that the AI companies might charge banks more money over time.
AI could also make it very easy for people to move their money quickly between banks.
Moody's isn't telling banks to stop using AI, just to be careful about depending on too few suppliers.
Moody's warned that banks' growing reliance on a small group of AI model and cloud infrastructure providers creates a 'systemic dependency' risk for the financial system.
More than 75 per cent of City firms already use AI, according to a UK Treasury select committee report published in January.
An outage, cyberattack or pricing change at one major AI provider could potentially spread across several banks and sectors at once.
Banks could face higher AI costs, data privacy, cyber security and fraud risks, plus faster movement of customer deposits between accounts.
Lloyds Banking Group CEO Charlie Nunn has backed a £13 billion strategy partly built around AI, targeting £2 billion in cost cuts.
- Who
- Moody's, the rating agency, issued the warning to banks and insurers; Lloyds Banking Group CEO Charlie Nunn is cited as an example of bank leaders embracing AI.
- What
- Moody's warned that banks' dependence on a small number of AI and cloud providers creates systemic risks, including shared outages, higher costs, data risks and faster deposit movement.
- Where
- United Kingdom financial sector, centred on the City of London, with implications for banks and insurers internationally.
- When
- The warning date is not stated; the UK Treasury select committee report showing AI use in 75 per cent of City firms was published in January.
- Why
- Because more than 75 per cent of City firms already use AI and many banks rely on the same foundation models and cloud infrastructure, a failure at one provider could affect many institutions at once.
AI adoption benefits
AI dependency risks
AI's value for banks
AI adoption benefits
AI can reduce costs, improve processes and generate new revenue, which is why the financial sector appears increasingly committed to the technology.
AI dependency risks
If every major bank spends heavily on the same technology for similar efficiencies, gains could become a basic cost of doing business, and failures could spread across institutions.
AI provider concentration
AI adoption benefits
Banks can reduce exposure by negotiating technology contracts, using open-source AI models, building partnerships with multiple providers and keeping control of proprietary data.
AI dependency risks
If dozens of banks rely on the same foundation models and cloud infrastructure, one provider's outage, cyberattack or pricing change could have consequences far beyond that company.
Key facts
- Rating agency
- Moody's
- City AI adoption
- More than 75% of City firms already use AI
- Key report
- UK Treasury select committee report, published January
- Identified risks
- Systemic dependency, vendor dependence, data privacy, cyber security, fraud, deposit flight
- AI workforce estimate
- 20% chance AI could perform a mid-level employee's work by 2030
- Lloyds strategy
- £13 billion plan partly built around AI; £2 billion cost-cut target
- AI developers cited
- OpenAI, Anthropic
- Suggested mitigations
- Open-source models, multiple provider partnerships, retaining proprietary data
Quotes
Moody's Analyst
Representative of credit rating agency Moody’s
“The growing use of AI by banks and insurers could eventually reduce costs and increase revenues. But as financial firms adopt similar systems, they are also becoming increasingly reliant on a relatively small group of companies providing AI models and cloud computing infrastructure.”
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Sources
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