{
  "id": 6788,
  "url": "https://arxiv.org/abs/2603.23802v1",
  "title": "How are AI agents used? Evidence from 177,000 MCP tools",
  "summary": "Today's AI agents are built on large language models (LLMs) equipped with tools to access and modify external environments, such as corporate file systems, API-accessible platforms and websites. AI agents offer the promise of automating computer-based tasks across the economy. However, developers, researchers and governments lack an understanding of how AI agents are currently being used, and for what kinds of (consequential) tasks. To address this gap, we evaluated 177,436 agent tools created f",
  "authors": "Merlin Stein",
  "category": "research",
  "topics": "jobs-economy,agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-03-25T00:25:49.000Z",
  "fetched_at": "2026-07-14T16:32:45.893Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/6788",
  "original_url": "https://arxiv.org/abs/2603.23802v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}