Digital FTE vs Human
How autonomous digital workers compare to human FTEs—cost, capacity, and scaling.
Comparison Table
| Factor | Human FTE | Digital FTE |
|---|---|---|
| Hours per year | ~2,080 | 24/7 (8,760+) |
| Cost per task (routine) | $15–50+ | $0.10–2 |
| Scaling | Linear, slow | Near-instant |
| Flexibility | High (novel tasks) | High (defined workflows) |
| Consistency | Variable | High |
Cost per Task
For routine, well-defined tasks (data entry, triage, scheduling, simple approvals), a Digital FTE can complete work at a fraction of human cost. API and compute costs are predictable; labor costs scale with headcount.
Example: Processing 100 invoices. Human: ~2 hours × $30/hr ≈ $60. Digital FTE: ~10 minutes compute + API ≈ $2–5.
Annual Hours
A human FTE works ~2,080 hours/year (52 weeks × 40 hrs). A Digital FTE can operate continuously, handling overnight batch jobs, weekend monitoring, and cross-timezone coordination without overtime or burnout.
Scaling Differences
Adding another human means hiring, onboarding, and management overhead. Adding another Digital FTE means spinning up another agent instance—minutes, not months.
The CEO Aha Moment
"What if I could add 10 more FTEs overnight—without HR, benefits, or office space? And they never sleep?" That's the insight. Digital FTEs don't replace humans; they handle the repetitive, scalable work so humans can focus on strategy, creativity, and judgment.