Editorial Process

• PlainWorkforce

  AI Workforce Editorial Process · Editorial Process

  PlainWorkforce is a data-publishing portal that analyzes how exposed U.S. occupations are to AI automation using public government data. Its occupation, industry, and employer pages are generated programmatically from BLS Employment Projections, O*NET task data, and BEA source files; the AI-exposure scores are derived by our own published methodology, not official government figures. The editorial work goes into the data pipeline, the methodology, and the written guides. The team accepts no payment from entities it covers. As, the portal provides neutral, source-cited workforce data.

  View profile →

plainworkforce is a data-journalism publisher: we compile public datasets, verify them against their official sources, and present them in plain language. Editorial standards, sourcing, and how we handle corrections are described on our about and methodology pages.