Open Dataset v2026.2 Updated 2026-07-02 CC BY 4.0

AI Career Risk Index

A research-backed index of AI displacement risk scores (0–100%) for 24 professions, computed from three weighted dimensions: Task Routinization (40%), AI Tool Penetration (35%), and Human Judgment Dependency (25%). Derived from Frey & Osborne (Oxford), McKinsey Global Institute, WEF Future of Jobs Report, and the Stanford AI Index.

AI Displacement Risk by Career — Full Index

AI Career Risk Index: displacement risk scores for 24 careers, ranked highest to lowest.
# Career Risk Score Level
1 Data Entry Clerk
95%
Critical
2 Bookkeeper
90%
Critical
3 Tax Preparer
88%
Critical
4 Customer Service Representative
82%
Critical
5 Administrative Assistant
82%
High Risk
6 Accountant
80%
Critical
7 Paralegal
78%
High Risk
8 Content Writer
76%
High Risk
9 Insurance Underwriter
74%
High Risk
10 Medical Coder
72%
High Risk
11 Graphic Designer
72%
High Risk
12 Loan Officer
65%
Moderate
13 IT Support Specialist
65%
Moderate
14 Real Estate Agent
65%
High Risk
15 Sales Representative
58%
Moderate
16 HR Manager
58%
Moderate
17 Financial Analyst
55%
Moderate
18 Data Analyst
45%
Moderate
19 Investment Banker
42%
Moderate
20 Software Developer
38%
Low Risk
21 Teacher
35%
Low Risk
22 Product Manager
32%
Low Risk
23 Cybersecurity Analyst
28%
Low Risk
24 Registered Nurse
22%
Low Risk

How Scores Are Calculated

Our AI risk score is a composite index built on three dimensions derived from peer-reviewed labor economics research, including studies by Frey & Osborne (Oxford), McKinsey Global Institute, and the World Economic Forum's Future of Jobs reports.

40%
Task Routinization
35%
AI Tool Penetration
25%
Human Judgment Dependency

Full methodology: About this tool

How to Cite This Data

The AI Career Risk Index is free to reuse for journalism, research, and analysis under CC BY 4.0 — attribution with a link to this page is required.

APA

Paulo Nakanishi. (2026). AI Career Risk Index (v2026.2) [Data set]. aicareer.me. https://aicareer.me/data/ai-career-risk-index/

BibTeX

@misc{aicareer2026,
  author = {Paulo Nakanishi},
  title  = {AI Career Risk Index (v2026.2)},
  year   = {2026},
  publisher = {aicareer.me},
  url    = {https://aicareer.me/data/ai-career-risk-index/},
  note   = {Licensed under CC BY 4.0}
}

Version History

  • v2026.2

    Published as an open dataset (CSV + JSON) under CC BY 4.0. No score changes.

    2026-07-02

  • v2026.1

    Expanded from 17 to 24 careers: added Tax Preparer, Administrative Assistant, Content Writer, Insurance Underwriter, Graphic Designer, Investment Banker, and Registered Nurse.

    2026-06-28

  • v2026.0

    Initial release with 17 careers scored against the three-dimension methodology.

    2026-01-01