Enterprises are sweating legacy IT assets as AI investment grows
It found that big iron was becoming a prime candidate to host and run AI workloads, while enterprises were increasingly integrating their mainframes with modern infrastructure. I think it's fundamentally forcing a rethink for customers.” ® artificial intelligence systems ensono legacy systems mainframes it modernization
- ▪It found that big iron was becoming a prime candidate to host and run AI workloads, while enterprises were increasingly integrating their mainframes with modern infrastructure.
- ▪I think it's fundamentally forcing a rethink for customers.” ® artificial intelligence systems ensono legacy systems mainframes it modernization
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Record
| Original publisher | The Register |
| Canonical URL | https://www.theregister.com/systems/2026/09/16/enterprises-are-sweating-legacy-it-assets-as-ai-investment-grows/5296896 |
| Publication time | Wed, 16 Sep 2026 18:15:00 +0200 |
| Retrieval time | 2026-09-16T16:28:41.667Z |
| Last seen | 2026-09-16T16:28:41.667Z |
| 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 | OKcywUAVDcqA · 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 |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| 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'; } })(); SYSTEMS Enterprises are sweating legacy IT assets as AI investment grows Hardware such as mainframes found to hold the data and business logic needed to build those AI services Dan Robinson Dan Robinson IT INFRASTRUCTURE REPORTER Published wed 16 Sep 2026 // 17:15 UTC READ MORE TypeSafe AI debuts model for machines that plays Doom 14 hours ago Your AI agents' reports and questions have a new inbox, courtesy of AWS 19 hours ago Microsoft drafts feel-good AI model guidelines and wants your…
Excerpt limited to ~120 words for fair-use compliance. The full article is at The Register.
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