Why AI Makes Things Worse for Enterprise Teams

Why are so few engineering teams reaping the benefits of AI? On this week’s episode, Paul presents Rich with the findings from a recent report from CircleCI and Thoughtworks on the productivity of enterprise teams using LLMs. While there’s been a dramatic increase in throughput—the amount of code produced—across the board, just 5% of orgs are seeing real gains from these tools, while the majority struggle with errors, bugs, and lower productivity than before AI was introduced. As Paul puts it: “The advantages of this technology are not equally distributed.”

Why AI Makes Things Worse for Enterprise Teams

Why are so few engineering teams reaping the benefits of AI? On this week’s episode, Paul presents Rich with the findings from a recent report from CircleCI and Thoughtworks on the productivity of enterprise teams using LLMs. While there’s been a dramatic increase in throughput—the amount of code produced—across the board, just 5% of orgs are seeing real gains from these tools, while the majority struggle with errors, bugs, and lower productivity than before AI was introduced. As Paul puts it: “The advantages of this technology are not equally distributed.”

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