From Replacement to Orchestration: A Socio-Technical Architecture for Agentic AI in Corporate R&D
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
Record details
Published: 23 May 2026
Source: arXiv
Category: Research
Topics: Regulation · Jobs & economy · Healthcare · Agents & autonomy
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (23 May 2026), “From Replacement to Orchestration: A Socio-Technical Architecture for Agentic AI in Corporate R&D,” evidence record 3816, https://ethics.ai/record/3816 (originally published by arXiv).
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