Barclays Will Shed 5,000 Roles in an AI Efficiency Push, With Support Functions Hit Hardest

British lender Barclays has announced plans to cut about 5,000 jobs, roughly 5% of its total workforce, as part of an efficiency drive linked to artificial intelligence and technology. The plan was set out with the bank's third quarter results on Thursday, 22 October.

The news matters well beyond London. It is one of the clearest examples yet of a major employer tying job reductions directly to AI, and of naming which kinds of work will feel it first.

What Barclays announced

In its third quarter earnings statement, Barclays said it was "structurally reducing the cost base to generate capacity for investment," CNBC reported. The earnings presentation described the outcome as "organisational simplification and technology change efficiency driven by AI."

According to CNBC, about 60% of the cuts are expected to fall in support functions, including developers. The bank sees fewer developer roles ahead as technology takes on more of that work.

The cuts did not come from a bank in trouble. Third quarter pretax profit rose 12% from a year earlier to 2.3 billion pounds, matching forecasts compiled by LSEG. Group income was 7.4 billion pounds, below the analysts' estimate of 7.61 billion pounds, and shares were almost 1% lower in early London trading.

Why this is a turning point for knowledge work

For years, conversations about automation focused on factory floors and call centres. The Barclays plan puts support functions and software development at the centre of the discussion instead.

That is a meaningful shift. Many professionals chose technical and operational careers precisely because they seemed secure. When a global bank says it expects to need fewer developers because of AI, every professional in a similar role should pay attention, not with panic but with a plan.

It is also worth noticing the language. Barclays framed the cuts as creating capacity for investment. Employers are increasingly describing AI as a way to move money and people toward new priorities, rather than simply as a way to save costs.

What professionals in support roles can do now

The first step is to understand which parts of your work are routine and which depend on judgement. Tasks that follow a predictable pattern are the ones technology handles best. Tasks that involve context, relationships and decisions are harder to replace.

Next, build visible fluency with the tools your organisation is adopting. People who can show they use AI to work faster and better are in a stronger position than those who wait to be trained. Keep a simple record of results you have delivered with these tools.

Finally, look for work that sits closer to the business. Support teams that understand customers, risk and revenue tend to be seen as partners rather than overhead. Ask to join projects where your knowledge of how things actually work is valuable.

Advice for developers

For developers, the message is not that coding no longer matters. It is that writing code alone is becoming a smaller part of the value. Skills in system design, security, testing, data and translating business problems into technical solutions are becoming more important.

Developers who can review, guide and improve AI generated work will be in demand. So will those who understand the industry they work in, whether that is banking, healthcare or retail. Depth in a domain is difficult for software to copy.

What leaders should take from it

For managers, the Barclays plan is a reminder that restructuring around AI is a people decision as much as a technology decision. How changes are communicated, how affected staff are supported and how remaining teams are retrained will shape trust for years.

Leaders who invest in reskilling before cuts become necessary give their organisations more options. They also send a clear signal to talent about what kind of employer they intend to be.

Barclays is unlikely to be the last large employer to connect job reductions with AI. The professionals who adapt best will be those who treat this moment as a prompt to review their skills, document their impact and move toward work that combines technical ability with human judgement.

Change at this scale is unsettling. It is also a clear signal about where careers are heading, and there is still time to prepare.