Research, analysis, and commentary on workforce intelligence, AI adoption, and human capital strategy from the Levos AI team.
Why Finance and HR Report Different Headcount Numbers
Finance and HR disagree on headcount because they read different hierarchies. Neither one is wrong, and no agreed external definition exists to settle it.
The AI Productivity Paradox: Perceived Gains Are Outrunning Measured Ones
Fed economists found perceived AI productivity gains exceed measured gains. Four 2026 datasets give four answers, and nearly all of them are self-report.
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 ROI Benchmarks 2026: What the Headline Numbers Actually Measure
The 2026 AI ROI benchmarks range from 11 to 21 percent. Here is what each number is built from, and why most of them are expectations, not measurements.
Why AI ROI Studies Contradict Each Other, and Which One Your CFO Should Believe
Deloitte says most AI initiatives are meeting ROI expectations. MIT found 95 percent of pilots showed no P&L impact. Same year, same firms, opposite answers.
The AI Proof Gap
78 percent of executives could not pass an independent AI governance audit in 90 days. The problem is not policy. It is numbers no one can stand behind.
