STRATAHELM · COMMUNITY AI EXPOSURE & RESILIENCE INDEX

About CAERI

CAERI National › About

StrataHelm builds tools that help regional leaders anticipate AI's effect on local economies. The Community AI Exposure & Resilience Index (CAERI) scores every U.S. county on two questions.

What CAERI measures

(1) How concentrated is local employment in occupations that published, peer-reviewed research identifies as exposed to current AI capabilities, and (2) how well-positioned is the local economy to adapt. It is an exposure and resilience index — a comparative, relative-standing measure — and it does not claim to say how many jobs will change in any place by any date.

How it's built

Entirely from public federal data (Census CBP, ACS, QWI, LODES, Census of Governments; BLS OEWS, QCEW, National Employment Matrix; IPEDS; Census BFS) and published AI-exposure research (the Anthropic Economic Index; Felten, Raj & Seamans; Eloundou et al.). County occupation figures are model-based estimates, validated against area-level observations, and every county carries a Confidence rating reflecting source agreement, disclosure imputation, and county size. The full methodology is published.

Corrections

Accuracy is the point of this project. If you believe a number or a data note is wrong, tell us — contact us with the county and the specific value, and we'll review it. Methodology changes are recorded in the changelog.

Limitations we publish on purpose