Our Methodology
How Your Risk Score Works
Your AI replacement risk score is calculated from 9 dimensions across three categories:
Exposure Factors (increase risk)
- Routine level— highly predictable work is easier to automate
- Digital-only work— no physical presence requirement means remote automation is possible
- Industry AI adoption speed— faster adoption means sooner impact
Protection Factors (decrease risk)
- Physical presence requirement— hands-on work resists automation
- Human relationship depth— deep interpersonal work is hard to replicate
- Adaptability— early tech adopters transition faster
Mindset Factors (modify trajectory)
- Your response to AI disruption— signals your likely adaptation speed
Industry and country selections provide additional context for personalization but do not directly modify the numerical score.
Our Data Sources
Your personalized report draws from pre-researched modules built using:
- O*NET (U.S. Department of Labor)— task-level analysis of 800+ occupations
- Bureau of Labor Statistics (BLS)— employment projections and salary data
- OECD Programme for the International Assessment of Adult Competencies — automation probability estimates
- World Economic Forum Future of Jobs Report 2025 — industry-level AI adoption projections
- International Labour Organization (ILO)— global employment trends
- McKinsey Global Institute— automation potential research
How Reports Are Generated
- Your quiz answers determine your work type and industry profile
- We match you to pre-researched modules containing curated data for your category
- An AI model personalizes the research into actionable recommendations specific to your situation
- If you provide additional context about your work, the report is further customized
Limitations
- Risk scores are estimates, not predictions. No model can predict individual career outcomes.
- Data sources have publication dates — the field evolves rapidly.
- Recommendations are starting points for your own research, not professional career advice.
- Scores are most accurate for roles in major economies; emerging market data is less granular.
Updates
Our research modules are reviewed and updated regularly as new data becomes available.