Opportunity Data Academic Program AI Exposure Index

How exposed is each program to AI-driven task automation? Lower composite scores = more protected from displacement.

1,786
Academic programs scored across the full federal CIP taxonomy
9
O*NET work characteristic variables across 3 dimensions
966
Occupations scored, linked to programs via NCES crosswalk
3
Dimensions: digital intensity, human contact, physical anchor

How the Index Works

The index measures each program's net exposure to AI displacement by balancing digital work intensity against two protective factors. Routine device use (iPads for transactions, computers for documentation) does not equal AI readiness. A child care worker who logs attendance on a tablet is not in the same risk category as a data analyst. The index captures this distinction.

Digital Intensity

How computer- and data-intensive is the core work?

Interacting With Computers
Analyzing Data or Information
Processing Information

Human Contact

Does the job require empathy, direct care, or constant interpersonal contact?

Assisting and Caring for Others
Working Directly with the Public
Contact With Others

Physical Anchor

Is the work grounded in physical presence, manual skill, or safety responsibility?

Spend Time Using Hands
Spend Time Sitting (inverted)
Responsible for Others' Health and Safety
DII v2 = ( Digital Intensity − Human Contact − Physical Anchor + 2 ) / 3

Each dimension is computed from O*NET 23.1 survey data, normalized to a 0-1 scale. Program-level scores are employment-weighted averages across linked occupations, using the NCES CIP-SOC crosswalk and BLS OES May 2024 employment counts. A score of 0 means fully protected; 1 means fully exposed.

Data sources: O*NET 23.1 (U.S. Department of Labor), NCES CIP2020-SOC2018 Crosswalk, BLS Occupational Employment and Wage Statistics (May 2024). Full methodology, limitations, and reproducibility details →

Opportunity Data Academic Program AI Exposure Index

Search by program name or CIP code. Sort by any dimension. All 1,786 scored programs are included.

AI exposure level
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1,786 programs
Reading this table: AI exposure scores closer to 0 mean the program's tasks are harder for AI to perform. High human-contact and physical-task scores indicate work that requires in-person, hands-on skills -- making those programs more resistant to AI automation.

Download and Citation

The full index is available as a CSV file for research and institutional use.

Suggested citation:
Rowe, B. (2026). Opportunity Data Academic Program AI Exposure Index. Opportunity Data. opportunitydata.org/ai-exposure

Methodology documentation: GitHub repository (dii_v2_methodology.md). Data sources: O*NET 23.1, NCES CIP2020-SOC2018 Crosswalk, BLS OES May 2024.

Data Sources
O*NET 23.1 (U.S. Department of Labor) · NCES CIP-SOC Crosswalk (2020 CIP / 2018 SOC) · BLS OES (May 2024)
Index construction: 9 O*NET work characteristic variables across 3 dimensions, employment-weighted by BLS national occupation counts, linked to programs via NCES crosswalk.
Opportunity Data · AI Exposure Index