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Microsoft 6-Month Cross-Industry

AI and Time Allocation: Evidence from a Large-Scale Field Experiment

AI-focusedRestricted/RDCWorker-side
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Specific Type
Experimental AI usage evidence
Dataset Type
True panel/Longitudinal
Institution
Microsoft; University of Chicago; Northwestern University; Harvard University
Institution Type
Academia; Industry
Level of Focus
Individual
Most Granular Level
Individual knowledge worker level
Perspective
Worker-side
Time Coverage
2024
Frequency
Six-month longitudinal experiment
Sample Size
6,000 knowledge workers
Geographic Detail
National (US)
Occupational Classification
Knowledge workers (various)
Industrial Classification
Various industries
Other Classification
Coordination requirements; task independence
Key Variables
Time allocation patterns; email time; meeting time; document creation speed; behavior changes
AI/Tech Tracking
Generative AI tool integrated into existing applications
Access Details
Microsoft partnership
Notes
3 hours less email time per week (25% reduction); faster document completion; no significant meeting time changes