The Deployment Wall: A Diagnostic Framework and Instrument for Enterprise AI in the Deployment Era
arXiv:2607.29089v1 Announce Type: new Abstract: Enterprise investment in generative artificial intelligence (AI) tripled in a single year to roughly US$37 billion, yet independent field research finds that about 95% of enterprise generative-AI pilots deliver no measurable profit-and-loss impact. We argue that the dominant explanation--that models are not yet capable enough--is mistaken, and that enterprise AI has entered a Deployment Era in which advantage derives not from model intelligence but
Record details
Published: 3 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Healthcare · Finance, VC & PE
Retrieved: 3 August 2026
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ethics.ai (3 August 2026), “The Deployment Wall: A Diagnostic Framework and Instrument for Enterprise AI in the Deployment Era,” evidence record 15641, https://ethics.ai/record/15641 (originally published by arXiv cs.CY).
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