AI and its main promoters are not enterprise-ready, says Gartner
Gartner analysts argue that major AI vendors are not yet enterprise-ready due to a lack of understanding regarding enterprise liability and consistency. The firm highlights that 86% of CIOs perceive AI risks growing faster than the value it creates, exacerbated by frequent model updates that break dependent applications. Experts advise organizations to curb 'careless consumption' and consider proven automation technologies before adopting new AI agents.
- ▪Gartner analysts Daryl Plummer and Kristin Moyer stated that leading AI labs are not enterprise-grade and do not understand enterprise terms or liability.
- ▪Research cited by Gartner indicates that 86 percent of CIOs see risks created by AI growing faster than the value it provides.
- ▪Forty percent of workers have encountered 'AI slop,' which costs a 1,000-person organization approximately $9 million annually to decipher.
- ▪AI models have a lifespan of about six months, and vendors frequently alter them without regard for breaking existing applications.
- ▪Analysts suggest that simple function calls are often more appropriate than AI agents for tasks like database interaction.
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| Original publisher | The Register |
| Canonical URL | https://www.theregister.com/ai-and-ml/2026/09/14/ai-and-its-main-promoters-are-not-enterprise-ready-says-gartner/5296074 |
| Publication time | Mon, 14 Sep 2026 07:11:19 +0200 |
| Retrieval time | 2026-09-14T07:16:51.069Z |
| Last seen | 2026-09-14T07:16:51.069Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | bFegU8HlRKqy · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
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| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
(function() { let windowUrl = window.location.href; windowUrl = windowUrl.substring(windowUrl.indexOf('?') + 1); let messageElement = document.querySelector('.shareableMessage'); if (windowUrl && windowUrl.includes('code') && windowUrl.includes('expires')) { messageElement.style.display = 'block'; } })(); AI and ML AI and its main promoters are not enterprise-ready, says Gartner Model-makers move too fast and don’t care when they break things Simon Sharwood Simon Sharwood APAC Editor Published mon 14 Sep 2026 // 06:11 UTC READ MORE Who, Me? Tech team stood and laughed at colleague who pressed the wrong off button now Big AI sets out its terms for regulatory capture and calls it ‘Pace the frontier’ 5 hours ago The improbable music of the ZX Spectrum's one-bit speaker 17 hours ago Security…
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