After one year of introducing an AI coding assistant meant to enhance developer productivity, only 41% of engineers engaged with the tool. The adoption rates vary dramatically across demographics, with female engineers engaging at a noticeably lower rate of 31%, while those aged 40 and older exhibited a 39% adoption rate. This disparity in usage raises concerns about the effectiveness and appeal of the AI tool across different segments of the engineering workforce.
Twelve months after rolling out a state-of-the-art AI coding assistant, only 41% of engineers had tried it. Female engineers adopted at just 31%, while those 40 and older adopted at 39%.
The disappointing adoption metrics indicate a mismatch between the expected productivity gains from the AI coding assistant and the actual usage among diverse demographic groups within the engineering team.
#ai-adoption #developer-productivity #gender-disparity #technology-engagement #workforce-demographics
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