I read two reports of the ranking, American Banker and Euronews, because each one quotes a different part of the interview with Evident's co-founder. Euronews explains the method first. Evident "rates 50 large lenders in North America, Europe and Asia-Pacific using only public data." The scores cover four areas: AI talent, which carries the most weight, innovation such as research and patents, leadership focus and transparency on responsible use.
That method matters for how you read the result. The index counts what banks hire, publish and patent. It does not yet measure what AI earns them.
JPMorgan Chase kept first place and, per Euronews, "ranked in the top two in all four categories." Capital One was second, Royal Bank of Canada third and Australia's CommBank fourth. Six US and two Canadian banks sit in the top ten.
American Banker gives the moves lower down. Wells Fargo rose from sixth to fifth. Bank of America climbed from tenth to seventh, and Citi from twelfth to eighth. Morgan Stanley dropped from fifth to ninth.
Europe has one name in the top ten. "UBS is now the only European lender among the top 10 banks judged most advanced in adopting artificial intelligence, after HSBC dropped out of the top tier," Euronews reports. Lloyds is 15th, NatWest 17th and Barclays 19th after rising four places.
The line I would argue with comes from Alexandra Mousavizadeh, Evident's co-CEO. She told American Banker: "Those banks that are leaning in the most and spending the most on AI are the ones that are hiring the most. We see absolutely zero impact on headcount."
Euronews sets that against a different bank. Standard Chartered said in May it would cut around 7,800 back-office jobs by 2030 as it leans on AI and automation. So the claim holds for the leaders Evident tracks, by its own data. I cannot tell from these articles whether it holds for the 40 banks below them.
Mousavizadeh's other quote explains where she thinks the money is. "If you get the onboarding time down from six months to six days, you're immediately generating revenue," she said. The leading banks, in her account, measure revenue per head and time to onboard a client, not jobs removed.
This is the number I would watch. Euronews reports that "twelve banks now report a realised or projected return on AI , up from eight." Lloyds is the clearest example in the piece: it said generative AI delivered about £50 million of value in 2025 and should add more than £100 million this year.
Daniel Shackleford Capel of Evident tied this to budgets. "With AI budgets at record levels, the banks that can prove their returns will keep the money flowing to the right places," he said. Evident plans a fifth pillar in 2027 that measures outcomes. Until then, the ranking rewards preparation more than results.
Bradley Leimer, a former head of innovation at Santander, put the gap plainly to American Banker. The question, he said, "is whether this translates into a better financial life for their customers." He set that against faster coding and quicker pitch decks.
All rankings and quotes come from the two news reports. I did not open Evident's full methodology or the complete table of 50 banks, so I cannot check how the four categories are weighted beyond "talent carries the most weight." The £50 million figure for Lloyds is the bank's own estimate of value, and I have not found an audited number behind it.