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Pilot Early, Commit Late: A Real-Options Model of Enterprise AI Adoption under Rapid Technological Progress

Paper recorded by Signals 4 on 2026-09-14 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-14 on arXiv · recorded by Signals 4 on 2026-09-15

Category: cs.AI · 人工智能 · first seen 2026-09-15

Abstract

Artificial intelligence presents firms with an unusual timing problem. The technology frontier is improving rapidly, implementation is partly irreversible, and organization-specific capabilities are accumulated through action. This paper develops a two-period decision model of AI deployment under uncertainty in which a firm chooses among immediate deployment, a limited pilot, and waiting. Deployme

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#66 most recent of 300 cs.AI papers we have recorded · ↑ newer: Recurrent GraphNeural NetworkswithSet-BasedAggregation · ↓ older: SlipSense: Multimodal Tactile Learning for Low-Latency and Generalized
Cite this page: Pilot Early, Commit Late: A Real-Options Model of Enterprise AI Adoption under Rapid Technological Progress: the #66 most recent of 300 cs.AI papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/pilot-early-commit-late-a-real-options-model-of-enterprise-ai-adoption-under-rap.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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