AI labor economics, by role

See the real economics of AI in your work — and where you're irreducible.

Your Wagecard shows the operational AI cost of your tasks, the market rate for your role, how your work distributes across four substitution classes, and where your human advantage actually lives. Methodology open. No doom, no hype.

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Two-minute questionnaire. Anonymous preview before signup.

Three reads on your work, with the math shown.

Every Wagecard surfaces these axes with a confidence band. We never use precision we can't defend.

Operational AI cost

Not just tokens. Oversight, retries, error cost, integration, and orchestration are priced in. Most automations are 3–10× more expensive than they look on paper.

Substitution distribution

Your tasks don't fall into “AI does it” or “AI doesn't.” They distribute across four classes: replaceable, AI-augmented, human-led-AI-assisted, and human-critical. We show the mix.

Human advantage

Trust, ambiguity, accountability, persuasion, contextual judgment. AI cannot price these well — and they make up most of your economic moat. Quantified per task.

We don't predict job loss.

We compute the operational economics. Capability is one input of nine — reliability, error cost, integration overhead, and human-advantage damping all enter the composite score. Methodology is published, versioned, and updated monthly with the AI capability matrix.

Capability1 of 9 axes

Reliability + error cost3 axes

Operational economics2 axes

Human advantage3 axes

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