Marty Cagan says AI speeds delivery but not outcomes in the productivity paradox
round · x · 2026-07-27
- Marty Cagan argues that many teams are falling into an “AI Productivity Paradox”: AI speeds up delivery, but outcomes do not improve.
- He cites industry signals such as McKinsey’s observation that generative and agentic AI adoption is rising while sustained performance impact remains elusive, and Atlassian’s report that most executives see faster work but few can point to organization-wide ROI.
- The article’s core point is that teams are often using AI to accelerate the old project model, which optimizes output rather than outcomes.
- Cagan argues the real issue is not speed, but choosing the right thing to build and operating around outcomes instead of projects.
Related event: Marty Cagan Explains the AI Productivity Paradox(2 posts)→
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