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 80 degrees
Artificial Intelligence
Physician Assistant Studies
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
Environmental Engineering
Biology
Genetics
Chemical Engineering
Philosophy
Computer Systems Analysis
Civil Engineering
Chemistry
Registered Nursing
Management Information Systems
Materials Engineering
Geology
Social Work
Agricultural Engineering
Criminal Justice
Aerospace Engineering
Architecture
Construction Management
Business Administration
Economics
Educational Leadership
Agriculture
History
Health Information Management
Licensed Practical Nursing
Sociology
Special Education
Anthropology
Mechanical Engineering
Electrical Engineering
Secondary Education
Elementary Education
Computer Systems Networking
Political Science
Environmental Science
Public Administration
Aeronautical Engineering Technology
Marketing
Music
Electrician
Early Childhood Education
Fine Arts
Information Science
Digital Media Production
Film and Video Production
Electrical Engineering Technology
Communication Studies
Design and Applied Arts
Drama and Theater Arts
Legal Studies
Journalism
Liberal Arts and Sciences
Finance
English Language and Literature
Automotive Technology
Accounting
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.