JPMorgan is pushing its engineers to do more with AI and increasing pressure on employees to prove they’re keeping up by tracking it on an internal dashboard visible to thousands of colleagues.
The bank recently directed its roughly 65,000 global technology developers to demonstrate “meaningful improvements” in both the quality and quantity of code by leveraging AI. Behind the scenes, we’re also building internal tools to measure that progress, including dashboards that rank engineers based on their usage of tools like GitHub Copilot and Anthropic’s Claude, and formulas to categorize users.
Business Insider saw screenshots of these systems and spoke to seven current and former developers. They explained that managers are becoming increasingly aware of how often their employees use AI, leading to a push to produce more and faster. Although some said these tools were helpful, most were concerned that if the tools were not used more often, they would be seen as underperforming.
A JPMorgan spokesperson said the bank does not incorporate data into “performance management,” but instead tracks data to measure the effectiveness of its AI investments.
“Collecting data and feedback allows us to deliver training and support to the right people in the right way,” the spokesperson said, adding that the bank is “acutely aware that the power of these tools is only realized when people, processes and technology come together.”
JPMorgan is not alone in raising expectations for the introduction of AI among its employees. Business Insider reports on how companies across industries are under pressure to prove that their AI investments are paying off, including Meta and Google, which have each set goals for AI-assisted code and allowed administrators to mandate the use of agents. Other companies, such as Disney, also track usage through internal dashboards.
Tracking AI usage at an individual level is something Samir Gupta, head of financial services AI for the Americas at EY, has never heard of at banks.
Although he could not comment on specific bank activity, he said he is seeing companies tracking AI usage across teams, which can help companies determine which AI tools work and how to deal with failures.
“People generally don’t like to be tracked. Let’s just put AI aside for a second,” Mr. Gupta said. “It makes me uncomfortable when someone tracks the total amount of time you spend using Teams or video conferencing each day.”
inside the effort
JPMorgan executives, including CEO Jamie Dimon, have publicly touted the company’s aggressive embrace of artificial intelligence, backed by a nearly $20 billion technology budget. During the bank’s most recent earnings call this month, he predicted that AI would soon become a key element.
Most of the engineers Business Insider spoke to said they would like more clarity on which metrics are important.
Business Insider saw two dashboards that track engineers’ usage of GitHub Copilot, a key hub that combines access to multiple AI tools. One dashboard displayed data on employee AI adoption and usage and listed nearly 70,000 people as Copilot’s “provisioning users.” Approximately 24,000 people were listed as recently “active” users as of late March, according to screenshots. Records were available for tens of thousands of employees, listing the most recent days, office locations, and reporting lines that employees worked with AI tools. Another dashboard characterizes users as “non” users, “light” users, or “heavy” users.
A developer in the Global Technology group sent a message to dozens of colleagues, warning them to check if they had been added to what the sender called a “naughty list” of AI users, according to screenshots of an internal Microsoft Teams channel seen by Business Insider.
The warning included a link to what appeared to be a large database of individual employees’ AI usage, as well as a link to a place where people who believed they had been mistakenly listed as underutilizers could request to be removed from the list. The developer also encouraged others to download Copilot if they haven’t already and open it once a month to avoid being flagged by the system.
One engineer said he frequently checks one of his dashboards, concerned that the full range of activities he performs using AI is not captured in the system.
Another employee who recently left the company said his direct manager told him in a meeting a few months ago that they should “be able to use artificial intelligence” because they “have shown they’re not using it.”
Multipart expression
One intranet document outlines the bank’s daily scoring system that tracks how engineers use the GitHub Copilot tool. These interactions are weighted so that active uses, such as initiating a prompt, score higher and passive actions, such as accepting an LLM-written code, score lower. This activity is aggregated into a quarterly score that allows engineers to “compare performance” each quarter to assess whether they are above or below the median utilization rate for their work area.
One mid-level developer said, “The overall atmosphere feels like you have to give 110% every day, all week.” “It’s very interesting. We thought this AI tool was supposed to make our lives easier, but it seems like it’s actually expected us to do more.”
Other engineers can relate to this. Developers in the white-collar industry told Business Insider that AI has significantly increased their workloads, while others believe that LLMs will take over the tasks they’ve spent years learning and lose their personal identity.
Another dashboard has emerged as some engineers gradually gained access to Claude Code, Anthropic’s AI coding agent. The screenshot shows that as of early April, it was tracking more than 600 users, including adoption rates, spend per user, and total spend.
Other documents indicate that developers are working on several additional tools that, if deployed, could enhance banks’ tracking capabilities.
Ghosts of past pursuits
JPMorgan has been tracking employee engagement, from attendance to time spent on Zoom, adding to the anxiety of some employees, particularly in offices affected by pre-planned layoffs this year, three of the developers said.
A programmer with about five years of experience at the bank said some people are “a little taken aback” by the new goals of using AI. “I think in some areas it’s just the perception that there are too many people for the level of work that needs to be done, and that’s probably what’s scarier.”
His manager’s advice? Get familiar with the tools and use them often. “No matter where you end up, whether it’s in-house or if you get laid off in a few years, this is what the job is going to be no matter what happens.”
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