Research-backed savings
How much time AI can save companies on real work
These benchmarks come from published studies on actual job tasks, then translated into approximate labor savings using 2024 U.S. Bureau of Labor Statistics median pay. They are directional benchmarks, not promises: the gain depends on task fit, process design, and human review.
What this means in practice
AI tends to save the most time on repeatable work with clear structure: support responses, reporting, drafting, coding assistance, exception review, and knowledge synthesis. Companies usually capture the value by redeploying hours into higher-value work, shrinking backlog, improving service levels, or avoiding additional headcount instead of simply cutting labor.