Research, analysis, and commentary on workforce intelligence, AI adoption, and human capital strategy from the Levos.AI team.
80 Percent of Engineers Get a 3 Percent AI Productivity Gain. The Top 20 Percent Get 55.
McKinsey found most engineers gain about 3 percent from AI while the top fifth gain 55 percent. A company-level average describes almost nobody in the building.
AI Is the Top Stated Reason for Job Cuts. Stated Is Not Measured.
AI led all stated reasons for US job cuts for five straight months. Challenger's own data shows why a stated reason is not evidence that AI absorbed work.
AI Layoffs Create Budget Room, Not Return
Gartner finds 80 percent of AI-piloting firms cut staff, yet layoffs track no better ROI. The return comes from amplifying people, if you can measure it.
The Manager Bottleneck: AI Doubled the Output. The Review Layer Did Not Move.
AI doubled the rate of reviewable work and the management layer has not moved. Here is why the workforce stack cannot see the bottleneck before it surfaces.
How to measure AI workforce ROI without the vendor self-grading problem
No vendor can grade its own AI. Here is how to measure AI workforce ROI with controlled cohort analysis and confidence scoring that a CFO can defend today.
