Lloyds Banking Group to hire 300 tech experts to work on AI | Lloyds Banking Group

Lloyds Banking Group has launched an AI recruitment campaign for 300 tech professionals, weeks before chief executive Charlie Nunn unveiled his strategic plan for the 261-year-old lender.

The bank said it plans to have the hires work on the use and development of agency AI by September, referring to autonomous AI models that can plan and execute tasks with minimal human supervision.

While the recruitment drive will increase Lloyds’ headcount for now, the group has not ruled out the widespread adoption of artificial intelligence leading to job cuts in the future.

The initiative comes as many of the world’s largest banks adopt AI to simplify processes and reduce costs. The Spanish owner of Santander UK said they aim to save more than £400 million through automation by 2028 and hope to generate a further £300 million in additional revenue. All of its 185,000 staff worldwide, including around 15,000 in the UK, will be given access to AI tools.

Trystan Davies, Lloyds’ group head of data and AI science, said: “AI will reshape the way organizations are structured. It will transform roles and the way we work, and we are investing in the training of our colleagues throughout this transition.”

In January, Nunn acknowledged that the bank would have to “cut some jobs in some areas” because of AI. Last month, Standard Chartered announced 7,000 job cuts, partly due to AI. The company’s CEO, Bill Winters, later apologized for describing the move as “the replacement of lower-value human capital in some cases.”

News of Lloyds’ recruitment drive comes weeks before Nunn is expected to brief staff and investors on a new multi-year strategy for the banking group next month. It complements its existing five-year strategy, which includes a major push into online banking that includes the closure of hundreds of branches, as well as a renewed focus on pensions and wealth management.

Davies said the AI ​​group would be tasked with a range of projects, including identifying and preventing fraud and fraud. Some may be working on how AI models can be used internally, including parsing and searching through large amounts of documents in the HR department.

But one of its main focuses will be on making online banking more accessible and personal, allowing customers to query their spending habits and ask questions about their finances in plain language, including which investment and savings products might be best suited to their circumstances. “It makes for a much better customer experience because our systems are kind of rigged correctly,” Davies said.

The new members, who will also be part of a 1,000-strong AI team made up of retrained Lloyds staff, will use existing large language models such as Anthropic’s Claude and build on publicly available LLMs such as Google’s Gemini to the bank’s own specifications.

Lloyds’ AI program has already delivered financial gains, with a £50m boost to its balance sheet last year, thanks to generative AI that creates new content based on patterns in large, existing data sets. The group expects earnings of £100 million this year, thanks to the increased use of agency AI models.

But research shows some UK banks are becoming more reliant on AI rather than preparing for disruptions in the technology. KPMG’s latest financial services sentiment survey showed that 93% of UK bank executives believe they would be able to continue operating in the event of a significant disruption, while only 47% have conducted a single test on AI disruption and 26% have not conducted any testing at all.

Rob Smith, UK Head of KPMG UK Regulation and Risk Advisory, said: “The industry’s optimism about its ability to continue business as usual in the event of a critical AI system failure at scale could mean one of three things: firstly, firms have invested significantly in model validation, contingency planning and risk prevention; secondly, firms are relatively simple to use AI tools; or thirdly, they do not yet have a full grasp of their risk exposure.”

“Firms have invested time and money, but without regular, robust testing, how do you know what you’re doing is working? And more importantly, how do you prove your resilience to the regulator, customers and stakeholders?”