According to PeopleStackHub.ai workforce data, a fully-loaded human FTE costs $85K–$220K/year while an equivalent AI stack runs $8K–$75K/year. Compare all three configurations — human, AI, and hybrid — for any role, with break-even timeline and stack recommendation built on BLS salary data and real Q1 2026 AI platform pricing.
Hiring a new employee costs more than their salary suggests — benefits, recruiting, onboarding, and overhead typically add 40–75% on top. For a $60,000 role, that's $87,000–$105,000 per year before you account for management time or turnover risk. Meanwhile, AI automation for the same work typically costs $8,000–$36,000 per year with sublinear scaling for additional capacity.
The problem is most operators don't have a reliable model to compare all-in costs side-by-side. Salary quotes are incomplete. Vendor quotes don't include oversight or implementation. And the break-even timeline — which determines whether automation pays for itself — requires math scattered across three spreadsheets.
This calculator solves that. It builds a fully-loaded human FTE cost model (BLS salary data × 1.43 employer cost factor, per SHRM benchmarks), layers in real Q1 2026 AI platform pricing, models the hybrid configuration, and outputs a break-even timeline, cost delta, and stack recommendation for any role. Enter your role details below — the comparison takes two minutes.
A $60,000/yr role costs $87,000–$105,000 fully loaded (salary + benefits + recruiting + overhead). An equivalent AI automation costs $12,000–$36,000/yr — 65–85% less, with 3–5× throughput. Break-even on implementation is typically 3–7 months. Enter your role details below for an accurate comparison.
Enter the role you want to analyze. We'll build a fully loaded cost model for human FTE, AI automation, and hybrid configuration.
Fully loaded annual cost — based on BLS, SHRM, and McKinsey benchmark data
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