Methodology
How we calculate the AI Exposure Score™
The AI Exposure Score is a 0–100 metric quantifying how much of a profession's core work can be automated or significantly augmented by artificial intelligence. Every score is produced through a three-stage research process.
Stage 1
Capability modeling
Each profession is broken into a structured capability model — the core skills and tasks that define the role. We begin from the O*NET occupational taxonomy maintained by the U.S. Department of Labor and refine it with editorial review.
Stage 2
AI capability tracking
We maintain a curated library of emerging AI tools, models, and platforms, each tagged with the capabilities they can perform. The library updates continuously as new systems launch.
Stage 3
Capability mapping
AI capabilities are mapped against professional capabilities. The weighted result — reflecting importance, exposure, and evidence strength — produces the AI Exposure Score for the profession. Each mapping cites the specific tools and models that drive it.
Scores update weekly. Major recalibrations occur when significant new AI capabilities emerge.