Most companies say they've 'adopted AI' while actual usage stays in the low single digits of work time. This calculator prices that gap.
Rule of thumb: annual salary ÷ 2,000 hours × 1.3 (with overhead)
Drafting, summarizing, research, code completion. Industry medians run 3–6h/week.
Not tools purchased — the share of potential actually used during work.
Full-adoption value / yr
$92,000
Currently captured / yr
$27,600
Un-adopted AI costs / yr
$64,400
For scale: measuring actual AI usage with FocusUp AI Coach ($9.90/seat/mo) costs ~$1,188/year — recovering 5% of the gap above already pays for it.
The first step to closing the gap: measure actual usage
FocusUp automatically tracks AI-tool time per member and compares AI users vs non-users on efficiency — plus a daily AI report for everyone. Free for 3 seats.
Start freeMultiply team size x hours AI could save per member per week x working weeks (~46) x average hourly cost to get the annual value of full adoption. Multiply by your actual adoption rate to see what you currently capture — the difference is what un-adopted AI costs you per year.
Published studies cluster around 3–6 hours per week for desk roles that draft, summarize, research or write code — but the spread between individuals is huge, which is why measuring actual usage matters more than the average.
Track time spent in AI tools during real work. FocusUp does this automatically (ChatGPT, Claude, Copilot, Gemini and 10+ more), shows adoption per member, and compares the efficiency of AI users vs non-users on your own team.