AI BriefingAI Usage Patterns in Software Teams
Key point
Analyzed Linear data to assess AI feature adoption and workflow changes in software development teams.
Details
Analysis of Linear user data reveals that AI feature adoption is surging across all roles within software development teams. As of the first half of 2026, AI usage in the Product role rose significantly from 12% to 34%, while the GTM role increased from 5% to 18%.
High engagement from executives is also notable. In particular, AI feature usage among CEOs leading companies with more than 201 employees surged from 9% to 36% in six months, demonstrating that leaders are learning by using the technology directly.
Consistent adoption regardless of company size is a key characteristic. AI adoption rates were uniform across company sizes, from startups to large enterprises.
Changes in workflows are also observed. After AI adoption, the time spent on issue creation, classification, and comment writing generally increased. This indicates a need for more collaboration and coordination, and these coordination processes are becoming a core element that provides the context in which AI agents can operate.
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