Open data on AI adoption, jobs, software, and workforce shifts

AI automation risk scores for every BLS Standard Occupational Classification (SOC) detailed occupation. Combines O*NET task decomposition, BLS employment projections, and the AIOE (AI Occupational Exposure) index. Includes timeline-to-replacement estimates and wage exposure.

Composite AI adoption score for 134,000+ US companies using observed signals: AI-titled hiring, tech stack integrations, public case-study density, and executive disclosures. Augmented with PDL firmographics and BuiltWith/Wappalyzer technographics. Refreshed monthly.

6,800+ pre-computed leaderboards ranking AI adoption across all 50 US states, 300+ metros, 1,200+ cities, and 100+ NAICS industries. Each leaderboard ranks the top companies in that segment plus average / median score / grade distribution.

594 enterprise software products scored for how completely an AI agent layer could replace or substantially augment them. Spans CRM, ERP, marketing automation, customer service, finance, HR, developer tools. Used by buyers evaluating AI-native alternatives.

164 enterprise AI platforms and tools across LLMs, agents, RAG, vector databases, observability, and orchestration. Each entry includes category, pricing tier, integration coverage, and enterprise readiness assessment. For vendor evaluation and competitive landscaping.

12,000+ federally-mandated WARN Act notices filed by US employers reporting plant closings and mass layoffs. Aggregated across all 50 state labor agencies, normalized for company / NAICS / AI-attribution likelihood. For tracking AI-driven workforce transitions.