{
  "id": 19029,
  "url": "https://arxiv.org/abs/2608.12236v1",
  "title": "How Organizations Use AI: Evidence from ChatGPT",
  "summary": "We study how organizations use frontier generative AI by linking ChatGPT Enterprise account records to usage, worker roles, task classifications, and public-company financial data through March 2026. These linked data enable a privacy-preserving analysis of adoption, worker roles, and message-level tasks at scale: for instance, the worker-level sample we analyze at the six-month adoption horizon includes over 1,500 organizations and over 17 million messages. We document four facts about enterpri",
  "authors": "Aaron Chatterji, David Holtz, Neel Rakholia, Prasanna Tambe, Gawesha Weeratunga",
  "category": "research",
  "topics": "privacy-surveillance",
  "orgs": "openai",
  "regions": null,
  "published_at": "2026-08-12T16:32:52.000Z",
  "fetched_at": "2026-08-13T05:10:37.786Z",
  "source_slug": "x-arxiv-cs-ai",
  "source_name": "arXiv cs.AI",
  "source_homepage": "https://arxiv.org/list/cs.AI/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/19029",
  "original_url": "https://arxiv.org/abs/2608.12236v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}