EnterpriseVal: Quantifying the Efficacy, Reliability and Value of Generative AI in the Enterprise
Paper recorded by Signals 4 on 2026-09-18 in cs.AI. Abstract reproduced from arXiv; link to the original below.
Published 2026-09-18 on arXiv · recorded by Signals 4 on 2026-09-21
Category: cs.AI · 人工智能 · first seen 2026-09-21
Abstract
Frontier language models now produce professional deliverables that expert graders judge to match human work on a substantial share of economically valuable tasks, yet most enterprise GenAI initiatives fail to show a measurable business effect and a large fraction of agentic projects are expected to be cancelled. We argue that this is substantially a measurement problem: public benchmarks answer "
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Cite this page: EnterpriseVal: Quantifying the Efficacy, Reliability and Value of Generative AI in the Enterprise: the #18 most recent of 320 cs.AI papers we have recorded (as of 2026-09-18). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/enterpriseval-quantifying-the-efficacy-reliability-and-value-of-generative-ai-in.html
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