{
  "id": 3816,
  "url": "https://arxiv.org/abs/2605.24580v1",
  "title": "From Replacement to Orchestration: A Socio-Technical Architecture for Agentic AI in Corporate R&D",
  "summary": "Purpose: Corporate R&D faces a persistent productivity paradox: rising investment and expanding scientific knowledge have not translated into proportional innovation output. In pharmaceuticals this is captured as Eroom's Law; analogous patterns appear across engineering, materials science, and healthcare. The core cause is not insufficient tools but cognitive saturation: researchers spend an increasing share of their effort on coordination, documentation, and data governance -- hidden work that ",
  "authors": "Haithem Boussaid, Marc Heemskerk, Jimmy Siméon, Adam Breen, Merouane Debbah",
  "category": "research",
  "topics": "regulation,jobs-economy,healthcare,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-23T13:44:24.000Z",
  "fetched_at": "2026-07-14T16:30:31.922Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3816",
  "original_url": "https://arxiv.org/abs/2605.24580v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}