JPMorgan Tops Evident's Ranking of the World's Most AI-Advanced Banks Again

JPMorgan has again taken first place in Evident's ranking of the world's most AI-advanced banks. Evident co-founder and CEO Alexandra Mousavizadeh told Tom Mackenzie about it on Bloomberg Tech: Europe on October 9, 2026. Her main point: AI adoption in the banking industry is moving faster than ever, and those who started earlier are pulling away from the rest. Her second point is less expected. The banks that invest the most in the technology are still increasing headcount, even though AI is changing the jobs themselves.

The announcement of the broadcast includes no table of scores or the positions of the other banks, so what follows is limited to what the material confirms, plus context from earlier publications.

What the Evident ranking measures

Evident scores banks on a set of public, verifiable signals. These include talent (who is hiring AI specialists, and how many), innovation (patents, research, partnerships), leadership (who is responsible for AI and how senior management talks about it) and transparency (how much the bank discloses about specific deployments). It is an external assessment, not a self-report by the banks, which is why investors and competitors cite it.

JPMorgan has led the index before. The word "again" in Bloomberg's phrasing matters: the bank is not merely holding its position, it is doing so while the whole industry accelerates. Leadership in a ranking like this usually rests on accumulated infrastructure: data, platforms, trained teams and processes that cannot be copied in a single budget cycle.

Why early movers pull ahead

Mousavizadeh explains the gap as a compounding effect. A bank that builds models into its workflows earlier than others collects usage data, learns where AI delivers results and where it does not, and scales what works faster. Everyone else has to catch up both on technology and on organization.

Publicly available sources show that JPMorgan is building its own internal platform for generative AI. According to the bank's 2025 figures, about 200,000 employees used it, and its technology budget was on the order of $18 billion. These figures come from earlier periods and not from the Bloomberg broadcast, but they show the scale that the bank's lead builds on.

Headcount is growing while the work changes

The most interesting part of the interview is the conclusion about employment. The scenario in which AI quickly shrinks bank workforces is not yet borne out among the banks that invest in it most aggressively. According to Mousavizadeh, such banks continue to grow in headcount. At the same time, jobs are changing: some tasks are being automated, new roles are appearing, and skill requirements are shifting.

This does not rule out risk for individual functions. Growth in total headcount can mask a reshuffling: fewer routine operations, more engineers, data analysts and model-oversight specialists. The announcement does not make clear which areas are shrinking and which are growing.

Key facts

• Evident ranking leader: JPMorgan, again.
• Speaker: Alexandra Mousavizadeh, co-founder and CEO of Evident.
• Venue: Bloomberg Tech: Europe, hosted by Tom Mackenzie.
• Pace of AI adoption in banking: the fastest to date, according to Evident.
• Employment: banks with the largest AI investments are still growing in headcount.
• Not disclosed: full scores and positions of the other banks.

What this means for banks, vendors and employees

For banks, the takeaway is pragmatic: the AI gap compounds, and a delayed decision costs more with each quarter. The priority is not the number of pilots but the platform, access to data and employee training. That is what separates the leaders from banks with dozens of scattered experiments.

For vendors and startups, JPMorgan's lead means the largest players increasingly build the foundation layer themselves and buy specialized solutions for narrow tasks. Selling a generic chat interface is getting harder, while selling quality control, security and integration with banking systems is easier.

For banking employees, the working strategy is to learn AI tools in their own function now, while banks are still investing in retraining. Evident's data indicates that demand for people persists, but demand for people who can work with AI is growing faster.