Google is expanding its AI empire – and losing the people who built it
Tomasz Tunguz, founder of Theory ventures, said it's becoming clear that top-of-the-line models aren't required when it comes to meeting most enterprise demand. "I think we are at that place with AI, particularly for a lot of white-collar work, where many of the models that are reasonable are good enough," Tunguz said. "The next evolution of models are likely to be helpful in domains where you have really fancy computers."Google's full-stack approach to AI is a big reason the stock is up 16% this year after jumping 65% in 2025, when it outpaced all of its megacap peers.
- ▪Tomasz Tunguz, founder of Theory ventures, said it's becoming clear that top-of-the-line models aren't required when it comes to meeting most enterprise demand.
- ▪"I think we are at that place with AI, particularly for a lot of white-collar work, where many of the models that are reasonable are good enough," Tunguz said.
- ▪"The next evolution of models are likely to be helpful in domains where you have really fancy computers."Google's full-stack approach to AI is a big reason the stock is up 16% this year after jumping 65% in 2025, when it outpaced all of its
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| Original publisher | CNBC |
| Canonical URL | https://www.cnbc.com/2026/08/05/google-is-expanding-its-ai-empire-and-losing-the-people-who-built-it.html |
| Publication time | Thu, 06 Aug 2026 10:44:21 +0000 |
| Retrieval time | 2026-08-06T11:00:42.495Z |
| Last seen | 2026-08-06T11:00:42.495Z |
| 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 | GC46BnU1Gujx · 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
Depending on where you sit, Google either has the most enviable position in artificial intelligence or is bleeding top talent to leading AI labs and other startups on the frontline of innovation.It's a contrast that's been on full display over the past two weeks, beginning with the company reporting 82% revenue growth in its cloud division, followed by a shakeup on Wednesday in Google's AI organization, as chief scientist Jeff Dean announced his departure after 27 years.For Google, home to the famous 2017 transformer paper that paved the way for the generative AI boom, the recent events underscore a central challenge facing the $4 trillion company: where to invest.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at CNBC.