This page compiles published data on how early-career Gen Z uses AI at work, drawing on Deloitte’s 2026 Gen Z & Millennial Survey (22,500+ respondents across 44 countries), a London School of Economics workforce survey, the GoTo/Workplace Intelligence 2026 Pulse of Work report (2,500 workers), and Harvard Business Review’s Gen Z AI research.
The AI Behavior Index is the research arm of OneChat AI, an integrated multi-model AI platform. We compile and analyze data from primary research sources to make AI adoption and market trends more accessible to journalists, researchers, and decision-makers.
Why workplace-use figures range from 74% to 83%: they’re different surveys with different framings — Deloitte’s 74% is “use AI to some extent in day-to-day work” (global, 44 countries); LSE’s 83% is “use AI at work” (a different sample and question). Both rank Gen Z first among generations; the gap reflects sampling and wording, not a real contradiction. We cite both and lead with the range.
Methodology notes: figures are from large multi-country (Deloitte) and workforce (LSE, GoTo) surveys. The “super-user” promotion finding is self-reported and correlational — AI-forward workers may differ in other ways — so we frame it as association, not proof that AI use causes promotions. Use-case percentages are multiple-select. The Stanford employment-decline figure is from a separate labor-economics study and describes AI-exposed occupations, not Gen Z workers overall.
Sources used on this page:
- Deloitte — 2026 Gen Z & Millennial Survey (74% work use; career-coach uses)
- Built In / LSE — AI Generational Divide at Work 2026 (83% Gen Z vs other cohorts)
- Fortune / GoTo — Gen Z Over-Reliance on AI 2026 (super-users; 62% over-reliance)
- Harvard Business Review — How Gen Z Uses Gen AI 2026 (skill-building worries)
Corrections or suggestions: research@aibehaviorindex.org