AI Resiliency Degree Index
Data-driven rankings of 80 college degree programs by their resilience to AI disruption. Powered by O*NET automation data, BLS growth projections, and NCES degree-occupation crosswalks.
Showing 22 degrees · Low Risk
Data Science
Applied Mathematics
Mathematics
Statistics
Cybersecurity
Speech-Language Pathology
Computer Science
Physical Therapy
Computer Engineering
Law
Psychology
Clinical Psychology
Management Science
Physics
Information Technology
Industrial Engineering
Business Analytics
Mental Health Counseling
Industrial-Organizational Psychology
Biomedical Engineering
Microbiology
Health Services Administration
Methodology
The AI Resiliency Degree Index measures how well a college degree program prepares graduates for an AI-transformed labor market. Each degree is scored on a 0–100 scale by analyzing the occupations it leads to through the NCES CIP-SOC crosswalk.
Automation Resistance (30%)
Based on O*NET task analysis and the Frey & Osborne automation probability framework. Lower automation probability means higher resistance.
Job Growth Outlook (25%)
Bureau of Labor Statistics 10-year employment projections (2022–2032). Faster-growing fields receive higher scores.
Earnings Potential (20%)
Median annual salary of linked occupations relative to the national median ($59,228). Higher earning power indicates economic resilience.
Degree Flexibility (15%)
Number of distinct career paths (SOC codes) linked to a degree via the NCES crosswalk. More options reduce concentration risk.
AI Adaptability (10%)
Measures whether AI enhances job performance (augmentation) rather than replaces it (displacement). Based on task-level AI exposure analysis.
Data Sources: O*NET 28.1, Bureau of Labor Statistics Occupational Outlook Handbook (2022–2032), NCES CIP-SOC Crosswalk (2020), College Scorecard.
Methodology Version: v1 — Last updated February 2026.