Banking house JPMorgan Chase is asking its roughly 65,000 engineers and technologists to use AI tools as part of their regular workflow. Business Insider reported that managers are tracking how often staff use these tools. That use may also influence performance reviews.
\nThe report states employees are encouraged to use tools like ChatGPT and Claude Code when writing code, reviewing documents, or handling routine tasks. Internal systems then classify workers based on their level of use. Some are labelled \u201clight users,\u201d while others fall into a \u201cheavy user\u201d category.
\nJPMorgan has been using in fraud detection and risk analysis. What stands out here is not the technology itself, but how it is being woven into day-to-day expectations for staff.
\nAccording to internal materials cited by Business Insider, managers are paying close attention to how employees use AI tools.
\nJPMorgan shows AI adoption in banks
\nMany companies have spent the past two years rolling out AI tools in departments. In most cases, adoption has been uneven. Some teams experiment heavily, while others stick to existing workflows.
\nJPMorgan is treating AI as a standard part of the job. That creates a more uniform level of adoption in teams. In the past, performance reviews focused on output and accuracy. Now, they may also include how effectively employees use AI tools to reach those results.
\nThat raises a practical question for large organisations. If AI can reduce the time needed for certain tasks, should employees be expected to produce more work in the same amount of time?
\nKeeping pace with internal change
\nBy tracking use, the bank may be trying to avoid a familiar problem in enterprise software rollouts. Tools are deployed, but adoption is slow, limiting their impact. Making AI part of performance reviews creates a stronger incentive to engage with the technology. It also suggests that AI literacy is becoming a baseline skill, similar to how spreadsheets or code tools became standard over time.
\nNew challenges include employees feeling pressure to use AI even in cases where it does not clearly improve the outcome. There is also the matter of how to measure \u201cgood\u201d use, as opposed to simply frequent use.
\nJPMorgan\u2019s AI risks and efficiency gains
\nBanks operate in a regulated environment, where introducing AI into more workflows increases the need for oversight.
\nTools like ChatGPT and Claude Code can help summarise information or generate drafts, but they can also produce incorrect or incomplete results. That means employees still need to verify outputs before using them in decision-making or client-facing work.
\nJPMorgan has developed internal controls for AI systems in areas like trading and risk. Expanding use in a broader group of employees may require similar safeguards, creating a situation for the bank in which it wants to improve efficiency, but also needs to ensure that heavier AI use does not introduce new risks.
\nOther financial institutions are likely watching closely. If tying AI use to performance leads to measurable gains in productivity, similar models may spread in the sector.
\nThe bank\u2019s approach may reshape how companies hire and train employees, and skills like prompt writing and output checks could become part of standard job requirements. JPMorgan\u2019 approach suggests that this change is already underway, at least in banking.
\n(Photo by IKECHUKWU JULIUS UGWU)
\nSee also: RPA matters, but AI changes how automation works
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\nThe post JPMorgan begins tracking how employees use AI at work appeared first on AI News.<\/p>\n","protected":false},"excerpt":{"rendered":"
Banking house JPMorgan Chase is asking its roughly 65,000 engineers and technologists to use AI tools as part of their regular workflow. Business Insider reported that managers are tracking how often staff use these tools. That use may also influence performance reviews. The report states employees are encouraged to use tools like ChatGPT and Claude [\u2026]<\/p>\n
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