ROI (AI Workforce)

ROI for AI workforce is the value created by an AI employee minus its all-in cost, expressed as a multiple — typical break-even is 1–4 weeks for well-scoped use cases.

AI workforce ROI is unusually fast because the marginal cost is software-shaped, not labor-shaped. The honest formula: (hours saved × loaded human rate) − (subscription + token spend + human oversight time × loaded rate). Anything above 1.5x in the first quarter is healthy; many AI roles return 5–20x at scale.

Example

AI SDR: $300/mo subscription + $400/mo tokens + 4 hrs/wk founder review = ~$1,400/mo cost. Replaces 0.6 of a $90K SDR ≈ $4,500/mo value. ROI ≈ 3.2x.

How OpenLabor uses it

OpenLabor reports per-employee ROI on the weekly summary so you don't have to compute it.

What if the AI underperforms?

ROI goes negative once review time exceeds saved time. The dashboard catches that — fire (or retrain) the employee.

Related: headcount-equivalent, hours-saved, cost-per-task.

AI Labor Glossary