Research Sources
Risk scores and task impact data are informed by the following 2024–2026 research reports on AI and the future of work.
01
McKinsey Global Institute — The Economic Potential of Generative AI (2024 Update)Quantifies automation potential by occupation and task category across 63 use cases. Used for: tech, business, and knowledge-worker risk scores.
mckinsey.com — The Economic Potential of Generative AI
03
Stanford HAI — AI Index Report 2026Annual benchmark on AI capabilities, job market impact, and industry adoption. Used for: software engineering, data science, and creative role assessments.
aiindex.stanford.edu — AI Index Report 2026
04
Anthropic Economic Index — AI's Impact on the Economy (2025)Analysis of Claude usage data across 2,000+ occupations to measure AI's actual deployed impact by task. Used for: healthcare, legal, and knowledge-worker task analysis.
anthropic.com — Anthropic Economic Index
05
OECD Employment Outlook 2025 — AI and the Labour MarketCross-country analysis of AI adoption and occupational displacement risk across OECD nations. Used for: government, education, healthcare, and trades risk scores.
oecd.org — Employment Outlook 2025
06
MIT Work of the Future — AI and Jobs: Evidence from Online Vacancies (2025)Measures AI's actual effect on job postings and required skills using vacancy data from 2020–2025. Used for: sales, marketing, and customer service role projections.
workofthefuture.mit.edu — AI and Jobs Evidence
Risk scores are composite estimates based on these sources and Precision AI Academy analysis. Individual outcomes vary based on employer, skills, and geography. Updated Q1 2026.