Does a trusted AI asset marketplace solve this issue?
The article discusses the trend of high valuations in AI deals occurring before any revenue is generated. It highlights that buyers prioritize acquiring proprietary data, models, and talent over traditional revenue proof. This pattern reflects a shift in how value is assessed in the AI marketplace, with a focus on scarce inputs and strategic assets.
- ▪Billion-dollar AI deals often price assets before any product or revenue is available.
- ▪Key assets in these transactions include proprietary data, models, and influential personnel.
- ▪Investors and buyers are willing to pay high valuations based on the potential of these assets rather than existing revenue.
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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 | Hacker News (AI / LLM) |
| Canonical URL | https://kimura.yumiwillems.com/p/why-ais-biggest-deals-price-assets |
| Publication time | Tue, 26 May 2026 19:36:38 +0000 |
| Retrieval time | 2026-05-26T19:47:54.105Z |
| Last seen | 2026-05-26T19:47:54.105Z |
| 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 | i5XdP8P67Sa_ |
| 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
Why AI's Biggest Deals Price Assets Before RevenueA strange pattern runs through the biggest AI deals: price arrives before ordinary proof. No shipped product. No durable customers. The check still clears at nine or ten figures.Yumi W. KimuraMay 23, 202631ShareOn a SaaS spreadsheet, that looks irrational. To OpenAI, Google, Microsoft, Amazon, NVIDIA, and frontier investors, the logic is simpler: own scarce inputs before revenue makes them obvious.Three inputs keep showing up: proprietary data, models, and people who turn both into leverage. Buyers value famous people fastest and rights-cleared data slowest.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Hacker News (AI / LLM).
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