NLx data disclaimer. The National Labor Exchange (NLx) Data Trust bear no responsibility for the analyses or interpretations of the data presented here.
AIMatch aggregates from the NLx corpus summarize occupation and industry exposure to AI-coded task and skill language.
How to read this page. This is an exploratory profile of AI intensity in national NLx postings. Strict AI codes are narrower; lenient and composite measures are broader. Rankings are most useful for larger occupation or industry cells and for score differences above the validation floor.
Validation note. Posting-level LLM validation supports ordering for score gaps of about 0.05 or larger, while aggregate rankings are most defensible for large cells. In Census BTOS sector comparisons, strict AI code intensity has the strongest rank agreement with reported firm AI use (Spearman rho = 0.761, p = 0.00038).
This series uses strict-score AIMatch AI skill-code matches divided by active postings in the NLx corpus. It is not a de-duplicated count of postings with any strict code, because a posting can contribute more than one strict AI code.
Terms. Rank follows the dropdown measure. Mean AI score is the average statement-level AI intensity score. Strict and lenient columns are AI-code matches per monthly active job (MAJ). Composite log score combines the broader AI signals for ranking.
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This trend is included to separate a cross-sectional ranking from the selected occupation's month-to-month AI-score movement.
Table 2. Six-digit industry AIMatch rankings (NLx corpus; minimum 5,000 active jobs)
Terms. Industry rankings use the same selected measure and column definitions as the occupation table, with NAICS-6 industries replacing O*NET-SOC occupations.
