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Major IT Glitches Hit UK’s Leading Banks Over Two Years

Britain’s largest banks have experienced significant IT outages over the past two years, blocking customers from accessing their accounts and causing widespread disruption. According to a report from the Treasury Committee, nine major UK banks and building societies suffered a total of 803 hours of unplanned technical failures, equating to more than 33 full days of service downtime. These glitches have affected millions of customers, raising concerns over the reliability of the UK banking sector’s digital infrastructure.

The data, compiled by the Treasury Committee, reveals that between January 2023 and February 2025, there were at least 158 separate IT failures across institutions such as Barclays, HSBC, Lloyds, Nationwide, Santander, NatWest, Danske Bank, Bank of Ireland, and Allied Irish Bank. However, the reported figures exclude more recent outages, including a series of disruptions affecting Barclays between January 31 and February 2, as well as several banks on February 28. The Committee is seeking further information on these additional incidents.

Barclays was the most affected, with 33 outages reported, including one that caused 56% of online payments to fail. The bank is now preparing to compensate customers, estimating between £5 million and £7.5 million in payouts. HSBC and Santander followed closely, each recording 32 outages during the period, while Nationwide, NatWest, and Lloyds reported 18, 13, and 12 disruptions, respectively.

Meg Hillier, Chair of the Treasury Select Committee, expressed concern over the impact of these failures, particularly for families relying on timely access to their accounts. “For families and individuals living paycheck to paycheck, losing access to banking services on payday can be a terrifying experience,” Hillier said. She commended the banks that have compensated their customers but urged others to reconsider their response and improve the support offered to those affected by such technical issues.

The AI Agent Revolution: Can the Industry Handle the Compute Surge?

As AI agents evolve from simple chatbots into complex, autonomous assistants, the tech industry faces a new challenge: Is there enough computing power to support them? With AI agents poised to become integral in various industries, computational demands are rising rapidly.

A recent Barclays report forecasts that the AI industry can support between 1.5 billion and 22 billion AI agents, potentially revolutionizing white-collar work. However, the increase in AI’s capabilities comes at a cost. AI agents, unlike chatbots, generate significantly more tokens—up to 25 times more per query—requiring far greater computing power.

Tokens, the fundamental units of generative AI, represent fragmented parts of language to simplify processing. This increase in token generation is linked to reasoning models, like OpenAI’s o1 and DeepSeek’s R1, which break tasks into smaller, manageable chunks. As AI agents process more complex tasks, the tokens multiply, driving up the demand for AI chips and computational capacity.

Barclays analysts caution that while the current infrastructure can handle a significant volume of agents, the rise of these “super agents” might outpace available resources, requiring additional chips and servers to meet demand. OpenAI’s ChatGPT Pro, for example, generates around 9.4 million tokens annually per subscriber, highlighting just how computationally expensive these reasoning models can be.

In essence, the tech industry is at a critical juncture. While AI agents show immense potential, their expansion could strain the limits of current computing infrastructure. The question is, can the industry keep up with the demand?

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