Research, analysis, and commentary on workforce intelligence, AI adoption, and human capital strategy from the Levos.AI team.
AI Users Lost 9% of Their Focus Time. Non-Users Held Flat.
Across 443M observed work hours, AI adopters lost 9% of daily focus time while non-adopters held flat. What that comparison supports, and what it does not.
Manager Support Tracks AI Use in Two New Surveys. Both Measure It by Asking.
Gallup and Jabra both tie AI use to manager support, and both measure it by asking employees. What the two surveys show, what they cannot, and what to measure.
48% of Surveyed US Employees Admit Exaggerating Their AI Use. What That Does to Adoption Metrics
A Visier survey of 1,000 US employees found that 48% exaggerated their AI use. What performative AI does to adoption metrics, and what to measure instead.
Vendor AI ROI Claims: How to Read a Commissioned Copilot ROI Study
A vendor-commissioned AI ROI study is a framework, not evidence about your company. How to read one, using the Copilot TEI study's own disclosures box.
The Culture Amp Alternative for Measuring What AI Changed in the Work
Culture Amp measures how people feel about the work, not the work itself. Where that boundary sits, and when a team actually needs something above it.
84% of Companies Have Not Redesigned Jobs Around AI
Deloitte reports 84% of companies have not redesigned jobs around AI, while most say processes changed. Three objects, three speeds, one blind dashboard.
AI License Utilization: Why a Seat Count Is Not an Adoption Metric
A license records what finance approved. It cannot detect whether work changed. What the 2026 ITAM data shows, and how to measure AI tool adoption instead.
AI Usage in Performance Reviews: Why the Token Counter Broke as a Metric
A large employer put AI usage into its review guidance for 10 months, then took it out. The token counter was an input metric doing an outcome metric's job.
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 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 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.
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.
Levos Named Intelligence Layer Category Leader in Elevates.AI 2026 Workforce Comparison
Elevates.AI named Levos the intelligence layer category leader in its 2026 comparison of nine workforce intelligence platforms, evaluated alongside Workday, Lattice, and Visier.
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.
