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AI's Real Impact on Work: Beyond Speed
15 May
Summary
- New research questions AI's productivity boost for knowledge workers.
- Value, not just speed, is key to measuring AI's impact.
- AI may increase output but not necessarily overall organizational value.
Recent research by METR aims to clarify AI's impact on knowledge worker productivity, acknowledging previous findings where software engineers perceived a 20% speed increase but actual measured performance slowed by the same amount.
The latest study surveyed 350 technical workers, focusing on the value AI adds rather than just task speed. This approach yielded lower estimates of AI's contribution, around a 60% increase in value, with some questions suggesting an even smaller uplift.
However, the study acknowledges these figures are upper bounds. Concerns remain about overestimation and whether AI-driven 'bonus extras' truly enhance core work value. The researchers also noted that coding-heavy roles see larger AI benefits than other knowledge work.
Further analysis by Faros, using telemetry data from 22,000 developers, reveals a complex picture. While AI accelerates code generation and project starts, subsequent workflow stages like code review and testing are slowing down.
This leads to declining code quality and tripling incidents in production systems. The Faros report indicates that even high-performing engineering teams face these downstream issues, suggesting individual productivity gains don't always equate to overall organizational value.
