McKinsey and Wharton: more AI-written code does not automatically bring business results

Sep 15, 2026 · Issue 7 · 5 sources, 5 articles

McKinsey reports that productivity fell at 30% of companies using agentic AI, while one study found that agents raised coding activity by 180%. A Wharton study tracking 100,000 GitHub developers found that review and deployment hold back the gains.

Who is affected and how

senior developer

Review and deployment are the bottleneck, so AI support should be applied there too.

tech lead

Teams should measure shipped features and lead time rather than activity metrics.

CTO

The return on AI investment should be shown through business results, not the volume of code.

Narrative: More code, but not more delivered software

Sources

• A Wharton study finds that review and deployment hold back AI productivity gains in software. | AI News · Mr. Petz AImrpetzai.de · Sep 15, 2026
• AI helps developers write more code. But it doesn't guarantee firms higher PROFIT - Svetapple.sksvetapple.sk · Sep 18, 2026 · magyar
• McKinsey report shows productivity decline in 30% of companies using agentic AI   | Mintlivemint.com · Sep 20, 2026
• Productivity decline in 30% of companies using agentic AI: McKinsey report - The Times of Indiatimesofindia.indiatimes.com · Sep 20, 2026
• 30% companies see productivity fall after adopting agentic AI: McKinseynewsbytesapp.com · Sep 20, 2026

Machine-generated summary based on the titles and excerpts of the source articles. The facts come from the linked article.