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.
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 Portfolio Management: Four Practices, and the Fourth One Is Rare
Gartner defines an AI high performer by four operating practices, not by models or budget. Three of them are common. Almost nobody runs the fourth.
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.
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.
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.
