Methodology
How we calculate the AI Risk Score
No career is 100% safe and no career vanishes overnight. That's why we don't make promises — we give you a transparent 0–100 score and show our work.
Four weighted factors
Task automation potential
40%We break each job into its core tasks and estimate what share current and near-future AI can perform. Routine digital work — data entry, document drafting, tier-1 support — scores high. Work requiring dexterity, improvisation or physical presence scores low.
Physical & unpredictable environments
25%Robotics lags software by years. Jobs that happen in homes, construction sites, clinics or other unstructured spaces get a substantial resilience bonus.
Human judgment, trust & licensing
20%Roles that require empathy, negotiation, legal accountability or a licensed human signature are structurally harder to hand to a machine — even when the technical tasks are automatable.
Demand & 10-year outlook
15%We weigh projected employment growth, wage trends and labor shortages. A role can be highly automatable on paper yet still grow if demand for the human version keeps rising.
Reading your score
0–34 · Low risk
The core of this job is hard to automate. AI will change the tools, not replace the worker. Skilled trades, hands-on healthcare and emergency response live here.
35–64 · Moderate risk
A significant share of tasks will be automated, but the role adapts rather than disappears. People who learn to direct AI tools will have the advantage.
65–100 · High risk
Most of the day-to-day work is routine and digital — exactly what AI does best. If you're in this band, treat the score as a planning signal, not a verdict.
Data & limitations
Scores combine task-level automation research, US Bureau of Labor Statistics employment projections and wage data, and analysis of current AI capabilities across 1250 careers. Salary figures are national medians and vary by state, experience and employer.
AI is moving fast, and any point-in-time estimate carries uncertainty. We re-evaluate scores as the technology and the labor market evolve. Treat the score as a planning signal — the best career decisions combine data like this with your own interests, strengths and local job market.
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