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.
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.
Your HRIS Knows Who Did the Work. The AI Value Question Is About What the Work Produced.
A system of record holds the employee record. Measuring AI value needs the task and the dollar. That is a difference in unit, not a gap in the roadmap.
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.
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.
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.
The Visier Alternative for Teams Measuring What AI Returns at Work
Visier is a strong people analytics platform. When the question becomes what AI returns inside the work, here is where a team outgrows it and what sits above.
The Lattice Alternative for Teams Measuring AI Workforce ROI
Lattice runs the performance cycle well. When the question becomes what AI returns across the workforce, here is where a team outgrows it and what sits above.
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.
Workforce Intelligence vs People Analytics: Why the Category Is Splitting in 2026
People analytics reports what HR already knows. Workforce intelligence measures what work actually shows. Here is why the category is splitting in 2026.
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.
What Is a Human Capital Operating System? The Workforce Intelligence Layer the AI Era Requires
A Human Capital Operating System is the workforce intelligence layer above the HR stack that turns fragmented people data into decisions worth defending.
The Reshape Problem: BCG Says 55 Percent of US Jobs Are Changing. Your Workforce Stack Cannot See It.
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Subtraction Is Not a Strategy: Why AI-Driven Layoffs Are Failing the ROI Test
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From Experimentation to Scale: The Four Operational Shifts AI Programs Need to Make
Most organizations are stuck running AI experiments without the cross-functional measurement to know which ones are ready to scale. Here are the four operational shifts required to graduate AI from pilot to production.
