Large enterprises put 95% of AI spend with top three vendors
Unlike surveys, user counts, or card-based spend data, this dataset shows which vendors are considered, which requests fail, and where approved budgets ultimately go. Between the trailing years ending in 2025 and 2026, AI vendors’ share of software spend rose from 1.4% to 8.1%. The shift was not confined to a handful of large buyers: 84% of companies observed all increased the share of software spend going to AI over the same period.But more budget has not meant an easier path through the buying process.
- ▪Unlike surveys, user counts, or card-based spend data, this dataset shows which vendors are considered, which requests fail, and where approved budgets ultimately go.
- ▪Between the trailing years ending in 2025 and 2026, AI vendors’ share of software spend rose from 1.4% to 8.1%.
- ▪The shift was not confined to a handful of large buyers: 84% of companies observed all increased the share of software spend going to AI over the same period.But more budget has not meant an easier path through the buying process.
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Zip |
| Canonical URL | https://zip.com/blog/where-ai-budget-is-actually-going |
| Publication time | Wed, 30 Sep 2026 12:28:48 +0000 |
| Retrieval time | 2026-09-30T12:37:01.509Z |
| Last seen | 2026-09-30T12:37:01.509Z |
| 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 | 18hOsx6re1f3 · 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
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Zip.
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