Key finding: Across 62 benchmarked roles, fully-loaded human cost averages $89,600/year. AI agent stacks for the same roles average $18,200/year — a 5:1 cost ratio. But the right answer isn't always "replace with AI." Hybrid models (human + AI in the right split) deliver the best outcomes in 60% of cases. Use the comparison table and calculator below to find the answer for your roles.
Try the Free Calculator
Role-by-Role Comparison: 10 Key Functions
This table benchmarks 10 representative roles against BLS 2024 salary data (median wage × 1.43x fully-loaded factor) and Q1 2026 AI platform pricing. AI stack cost includes platform fees + implementation + oversight. Hybrid cost reflects a 50/50 human/AI split.
| Role | Human Annual Cost (Loaded) | AI Stack Annual Cost | Hybrid Annual Cost | Est. Annual Savings | Autonomy Level |
|---|---|---|---|---|---|
| Customer Support Rep | $55,427 | $16,000 | $35,714 | $19,713 | L3 — High |
| Data Entry Clerk | $51,623 | $8,400 | $30,012 | $43,223 | L4 — Max |
| Bookkeeper | $67,839 | $12,000 | $39,920 | $27,919 | L3 — High |
| Content Writer | $86,300 | $15,600 | $50,950 | $35,350 | L3 — High |
| Financial Analyst | $142,843 | $26,000 | $84,422 | $58,421 | L2 — Moderate |
| SDR / BDR | $81,100 | $21,000 | $51,050 | $30,050 | L3 — High |
| Paralegal | $118,240 | $28,000 | $73,120 | $45,120 | L2 — Moderate |
| HR Coordinator | $68,143 | $13,200 | $40,672 | $27,471 | L1 — Low |
| Recruiter | $96,740 | $22,000 | $59,370 | $37,370 | L3 — High |
| Marketing Manager | $143,000 | $24,000 | $83,500 | $59,500 | L1 — Low |
Human costs = BLS OEWS May 2024 median wage × 1.43x BLS ECEC employer cost factor. AI stack costs = Q1 2026 mid-tier platform fees + amortized implementation (÷ 3) + oversight FTE fraction. Hybrid = 50% human / 50% AI split. Savings = (Human – AI Stack) first year. Autonomy level uses the L0–L4 workforce autonomy framework.
How to Read This Table
Each column answers a specific question:
- Human Annual Cost (Loaded) — The fully-loaded cost of a human FTE in this role. Calculated as BLS OEWS May 2024 median wage × 1.43 (BLS ECEC employer cost factor for benefits, FICA, retirement). This is what you'd pay for salary + benefits + overhead.
- AI Stack Annual Cost — The all-in annual cost of an AI agent stack: platform subscription + amortized implementation + oversight FTE fraction. Not just the software fee — the total cost to run the AI replacing this function.
- Hybrid Annual Cost — Cost of a 50/50 human + AI configuration. You keep a human for relationship, judgment, and exception handling; AI handles volume and routine. Often the highest-performance configuration.
- Est. Annual Savings — First-year savings from full AI replacement vs. human. Positive number = AI is cheaper. Negative = human is cheaper (but AI may still win on speed, scale, or quality).
- Autonomy Level — How far AI can go without human oversight. L4 = near-complete automation (data entry, scheduling). L3 = handles most tasks autonomously (support, content, SDR). L2 = AI assists but human decides (financial analysis, legal research). L1 = AI supports human work (strategic planning, people management).
For your specific roles, use the AI vs Human Cost Calculator — enter your salary data and get a custom breakdown with payback period and risk assessment.
The Fully-Loaded Cost Formula
How We Calculate Human Cost
Fully-Loaded Human Cost = BLS Median Wage × 1.43
The 1.43x multiplier is derived from the BLS Employment Cost Index (ECI) for civilian workers, December 2024. It includes:
- Wages and salaries — the BLS OEWS median is the base
- Benefits — health insurance (employer share avg. $7,200/yr), retirement contributions (avg. 4% match), life/disability insurance, FICA employer contribution (7.65% of wages)
- Payroll taxes — federal and state unemployment, workers' comp
For example: a Customer Support Rep with $38,762 median wage → $38,762 × 1.43 = $55,427 fully loaded. That's the number to compare against AI tooling cost.
Frequently Asked Questions
A fully-loaded human employee costs BLS OEWS May 2024 median × 1.43x (benefits, payroll taxes, overhead). For a $55,000 median role that's $78,650/year. AI agent stacks for the same function run $7,200–$36,000/year depending on complexity. The median first-year savings across 62 benchmarked roles is $48,200. Use our calculator to model your specific roles.
Fully-loaded cost = BLS median wage × 1.43. The 1.43x multiplier comes from BLS Employment Cost Index (ECI) data: it covers employer-side FICA (7.65%), health insurance (avg. $7,000/yr), retirement contributions (typically 3–4% match), and miscellaneous payroll costs. A $50K wage-role becomes $71,500 fully loaded. A $100K role becomes $143,000. This is the number you compare against AI tooling costs.
AI agent stack cost = platform fees + implementation + oversight fraction. Platform fees: entry-level tools ($3,600–$8,400/yr), mid-tier platforms ($8,400–$24,000/yr), enterprise stacks ($24,000–$75,000/yr). Implementation: $5K–$40K one-time, amortized over 3 years. Oversight: 0.1–0.4 FTE required to manage the AI and handle exceptions. Most roles total $9,600–$36,000/year all-in. See the comparison table for role-specific figures.
Best AI candidates: roles with high volume, structured tasks, and clear rules — customer support (L3), data entry (L4), bookkeeping (L3), recruiting screening (L3), SDR/BDR outreach (L3), paralegal research (L2). Best human candidates: roles requiring trust, complex judgment, regulatory accountability, or relationship management — HR coordinator (L1), financial analyst strategy (L1), marketing manager strategy (L1), paralegal strategy (L1). Hybrid models often outperform both extremes.
The L0–L4 workforce autonomy framework measures how much work in a role can be delegated to AI: L0 = no automation, full human required; L1 = AI handles data gathering and drafting, human makes decisions; L2 = AI handles 40–60% of tasks, human reviews and approves; L3 = AI operates autonomously within defined parameters, human monitors exceptions; L4 = near-full AI operation with minimal human oversight. Data entry roles max at L4. Strategy roles rarely exceed L2. Most business roles land at L2–L3.
ROI = (Annual Savings – AI Total Cost) / AI Total Cost × 100. Annual Savings = Fully-Loaded Human Cost – AI Stack Annual Cost. AI Total Cost = platform fees + (implementation ÷ 3) + (oversight FTE × human cost fraction). For example: a $55,427 customer support rep replaced by $13,800/yr AI tooling + $3,333 implementation + $11,046 oversight (0.2 FTE) = $28,179 total AI cost. First-year savings: $55,427 – $28,179 = $27,248. First-year ROI: (27,248 – 28,179) / 28,179 = -3%. Years 2+ without implementation: (27,248 – 24,846) / 24,846 = 10%. Realistic break-even: 8–14 months.