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How Software Teams Use AI in 2026
AI adoption has doubled across all software functions in 2026, yet teams are adding it as a layer of work rather than using it to replace existing tasks.
What: Linear analyzed tens of thousands of teams, finding that coding agents significantly increased pull request volume, while non-engineers are shipping more code than ever. Despite the efficiency gains, teams are spending more time overall in Linear, suggesting that AI is increasing output rather than just saving time.
Why it matters: The data suggests the 'Jevons paradox' in AI: as intelligence becomes cheaper and easier to use, organizations find more work for it to do, preventing overall time savings.
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