Barclays uses AI to cut costs and boost profits – 2026 update
Generally, Barclays said its profit jumped 12 % in 2025, earnings before tax hitting £9.1 billion versus £8.1 billion a year earlier, which is pretty good. Obviously, the bank also upped its RoTE goal to over 14 % by 2028, moving away from the old 12 % target for 2026, so they’re feeling pretty confident. Usually, a stronger U.S. franchise helped, but AI was the real engine behind the cost savings that lifted the profit, you know.
Why AI matters for cost discipline
Normally, Barclays is modernising a legacy IT estate that still eats a big chunk of the budget, which is a real problem. Basically, by using AI-powered risk models, customer-service routing and internal reporting tools, they automate repetitive, data-heavy tasks, and that’s a big deal. Often, it cuts manual hours, which doesn’t always mean layoffs but does shrink the cost base for routine work, so that’s a win.
Investment and impact timeline
Apparently, Barclays knows AI won’t work miracles overnight, so they’re being patient. Generally, they pair AI roll-outs with structural cost cuts so savings show up over time, which makes sense. Probably, the 2028 targets reflect this blend, promising to return over £15 billion to shareholders from 2026-2028, backed by the expected efficiency gains, which is a pretty bold move.
Implications for legacy-heavy firms
Usually, many banks are eyeing AI for cost savings, but Barclays stands out because of the scale and the decision to anchor forecasts on AI’s impact, which is interesting. Normally, for regulated firms, AI means navigating compliance, data-privacy and risk-management hurdles that start-ups often skip, so it’s not easy. Obviously, the bank shows a huge, complex org can move past sandbox projects to enterprise-wide AI use cases that hit the bottom line, which is a big deal.
Looking ahead
Generally, Barclays plans to keep spreading AI across its operations, from front-office analytics to back-office processing, which is a good strategy. Probably, if they hit the new RoTE target, it will be a strong proof point that AI can be a profit-center even in highly regulated sectors, which would be a big win. Usually, the next few years will reveal whether the AI-driven efficiency model can keep higher returns alive as competition and regulators evolve, so we’ll see.
Key takeaway
Apparently, Barclays’ 2025 earnings mark a turning point: AI is moving from pilots to a core part of cost management and profitability, setting a benchmark for legacy institutions that want real financial benefits from emerging tech, which is a big deal. Normally, you can learn from their example and apply it to your own business, which could be really helpful.
