LONDON — When Lloyds Banking Group said in January it would train every single one of its 67,000 employees on artificial intelligence by the end of 2026, the target sounded ambitious. Six months later, the numbers are stark: roughly 65,000 staff have already taken courses through the bank’s AI Academy. That is nearly the entire workforce.
The bank disclosed the figures in a June 22 update. Staff have completed 400,000 courses since January.
The tally suggests a corporate push that is less about future-gazing and more about brute-force retooling of a 250-year-old institution. Lloyds is not alone. Banks across Europe and the United States have rushed to embed AI into operations — fraud detection, customer service chatbots, credit scoring.
But the scale of Lloyds’ internal training program stands out. Most lenders talk about hiring data scientists.
Lloyds is trying to make its existing tellers, branch managers, and back-office staff into people who can at least talk to them. The bank’s AI Academy is the engine. Courses range from basic literacy — what is a large language model — to more technical material for staff moving into new roles.
The bank is creating 300 new positions focused on what it calls “agentic AI,” a term for systems that can act autonomously rather than just respond to prompts. Those jobs include data and AI scientists, engineers, responsible AI specialists, and AI product managers. Some will be filled internally.
Some externally. Sharon Doherty, the bank’s chief people and places officer, framed the effort in blunt terms.
“As we scale its use, our focus is on making sure it delivers real benefit in day-to-day roles – helping colleagues make better decisions and enabling us to provide faster, more effective and more personalised support for customers,” she said. “This is about keeping AI practical and accessible, so everyone can use it in ways that make a meaningful difference.” Practical. Accessible.
Those words matter. The banking sector has burned through hype cycles before — blockchain, robo-advisers, open banking — and many of them produced more press releases than real change.
Lloyds appears to be betting that the difference this time is scale: not a pilot project with 200 people, but a workforce-wide retraining. One concrete product already in the wild: an AI financial assistant used by Bank of Scotland customers. The bank did not disclose exact user numbers in the update, but described the assistant as used by a “substantial number” of customers.
That is the kind of deployment that forces a bank to ensure its staff actually understand what the technology is doing. The timeline matters. The bank wants all staff AI literate by the end of 2026.
At the current pace — 400,000 courses in roughly five months — that target looks achievable. But literacy is not expertise.
The 300 new agentic AI roles suggest Lloyds knows it needs a core of specialists, not just a broadly educated workforce. Competitors are watching. If Lloyds pulls this off, it will have a labour pool that can pivot faster than rivals who still rely on external consultants for basic AI tasks.
If it stumbles, the risk is a workforce trained in tools that are obsolete by the time the course ends. For now, the numbers tell the story. 65,000 employees. 400,000 courses. 300 new specialist roles.
A deadline of 2026. That is not a pilot. That is a bet.
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