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 11 degrees · Engineering
Computer Engineering
Industrial Engineering
Biomedical Engineering
Environmental Engineering
Chemical Engineering
Civil Engineering
Materials Engineering
Agricultural Engineering
Aerospace Engineering
Mechanical Engineering
Electrical Engineering
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.