Methodology

Your AI replacement risk score is generated using a combination of structured survey responses and AI-powered analysis, calibrated against published workforce research.

Data Sources

• Anthropic (2026) — Theoretical and observed AI exposure rates by occupation category
• ILO (2025) — International Labour Organization global workforce impact studies
• OECD — AI and the future of skills research
• WEF (2025) — World Economic Forum future of jobs reports
• O*NET / BLS — U.S. occupational classification and labor statistics

Scoring Dimensions

Seven factors contribute to your risk score:

1. Work type — maps to occupation-level exposure benchmarks
2. Routine level — higher routine work is more automatable
3. Physical presence — on-site work provides a natural shield
4. Human interaction depth — deep relationships resist automation
5. Industry AI adoption speed — faster adoption means sooner impact
6. Personal adaptability — early adopters fare better
7. Mindset toward disruption — growth mindset is protective

Limitations

This assessment is a directional indicator, not a prediction. AI adoption rates, regulatory changes, and individual circumstances create significant variance. No model can predict your specific future — but understanding the landscape helps you prepare for it.