March 25, 2026
Estimated reading time: 6 minutes
Key takeaways:
- Nearly all teams are adopting AI, yet most can’t clearly measure its impact despite growing pressure from leadership to prove results.
- Engineering productivity is a moving target: traditional metrics like lines of code break down with AI.
- Measure broadly, not perfectly. Use simple, consistent metrics across usage, customer value, quality, and human impact.
Organizations are still struggling to measure AI’s impact on engineering productivity, as board-level expectations shift from teams simply adopting AI tools to delivering tangible output with them.
A new report from the engineering intelligence platform Multitudes paints a paradoxical picture of AI-coding tool adoption.
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March 25, 2026
