Most generative AI and custom model projects will be a bust: Gartner
Gartner's latest report indicates that many generative AI and custom model projects are likely to fail due to budget overruns and operational challenges. The firm highlights that while domain-specific models may yield better results, they require significant resources and expertise. Overall, the report suggests that most AI technologies have not yet reached a stage of maturity that guarantees reliable benefits.
- ▪Gartner predicts that at least half of generative AI projects will exceed their budgets due to poor architectural choices.
- ▪The report emphasizes that most organizations attempting to build custom models may abandon their efforts because of costs and complexity.
- ▪Domain-specific generative AI models are seen as more effective but require substantial resources and expertise to develop.
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| Original publisher | www.theregister.com - Articles |
| Canonical URL | https://www.theregister.com/ai-ml/2026/05/28/most-generative-ai-and-custom-model-projects-will-be-a-bust-gartner/5247633 |
| Publication time | Thu, 28 May 2026 07:01:00 +0200 |
| Retrieval time | 2026-05-28T06:00:45.545Z |
| Last seen | 2026-05-28T06:22:10.421Z |
| 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 | 0N9mfH3dTISt |
| 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 |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| 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 + ML Security systems. Copyright (c) 2020 Victor Moussa/Shutterstock. No use without permission. Most generative AI and custom model projects will be a bust: Gartner To succeed, look to China Simon Sharwood Simon Sharwood APAC Editor Published thu 28 May 2026 // 06:01 UTC Analyst firm Gartner thinks at least half of all generative AI projects “will overrun their budgeted costs due to poor architectural choices and lack of operational know-how,” and most organizations that try to build…
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