The International AI Race May Not Be Won by the Smartest AI
The approach to AI in the US and China is in stark contrast. But the long-term competition may not be between American and Chinese AI models. It may be about who can turn AI into the most useful things, at the lowest cost, at the greatest scale.
- ▪The approach to AI in the US and China is in stark contrast.
- ▪But the long-term competition may not be between American and Chinese AI models.
- ▪It may be about who can turn AI into the most useful things, at the lowest cost, at the greatest scale.
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Story provenance
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Record
| Original publisher | Phroneses.com |
| Canonical URL | https://phroneses.com/articles/leadership/notes/the-ai-race.html |
| Publication time | Thu, 24 Sep 2026 17:04:45 +0000 |
| Retrieval time | 2026-09-24T17:10:26.215Z |
| Last seen | 2026-09-24T17:10:26.215Z |
| 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 | tlkQeR9v-PVy · 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 |
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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
The approach to AI in the US and China is in stark contrast. But the long-term competition may not be between American and Chinese AI models. It may be about who can turn AI into the most useful things, at the lowest cost, at the greatest scale. And China is uniquely placed to deliver this. The US focus In the US, there is enormous focus on frontier models, pushing their capabilities ever higher and selling access to those abilities as a service. The dominant business model for US AI is as a centralized cloud service. Customers generally do not own, modify or independently deploy the model. Instead they purchase access to LLM capability that is hosted and continuously improved by the provider.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Phroneses.com.
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