"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."
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.
#ai-adoption #developer-productivity #gender-disparity #technology-engagement #workforce-demographics
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