Why Enterprise AI Implementation Is Stalling — 2026 Data

Six months into 2026, the gap between AI pilot success and production deployment has widened. Deloitte data shows 68% of organizations with successful proof-of-concepts haven't moved models into production—revealing a critical execution problem in enterprise AI strategy. Full article: https://davidohnstad.net/enterprise-ai-implementation-stalling-production-deployment/

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-02
DOI
https://doi.org/10.5281/zenodo.23892986
Primary Topic
Artificial Intelligence Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Why Enterprise AI Implementation Is Stalling — 2026 Data

David Ohnstad
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Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence Applications
article

Why Enterprise AI Implementation Is Stalling — 2026 Data

David Ohnstad
article en

Abstract

Six months into 2026, the gap between AI pilot success and production deployment has widened. Deloitte data shows 68% of organizations with successful proof-of-concepts haven't moved models into production—revealing a critical execution problem in enterprise AI strategy. Full article: https://davidohnstad.net/enterprise-ai-implementation-stalling-production-deployment/

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 17%
Artificial Intelligence Applications
DOIOpen Access PDFOpenAlex
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Why Enterprise AI Implementation Is Stalling — 2026 Data — David Ohnstad · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS