How one VC burns through hundreds of millions of tokens a day to find the next unicorn
Q & A How one VC burns through hundreds of millions of tokens a day to find the next unicorn The investor behind a $75-million AI-focused fund explains why reading research papers and testing frontier models has become part of his job. By Ananya Bhattacharya 11 August 2026 Artificial intelligence is forcing venture capitalists to rethink how they invest. For decades, investors backed startups by judging founding teams, products, and markets.
- ▪Q & A How one VC burns through hundreds of millions of tokens a day to find the next unicorn The investor behind a $75-million AI-focused fund explains why reading research papers and testing frontier models has become part of his job.
- ▪By Ananya Bhattacharya 11 August 2026 Artificial intelligence is forcing venture capitalists to rethink how they invest.
- ▪For decades, investors backed startups by judging founding teams, products, and markets.
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Record
| Original publisher | Rest of World |
| Canonical URL | https://restofworld.org/2026/activate-interview-vc-sovereign-ai/?utm_source=rss&utm_medium=rss&utm_campaign=feeds |
| Publication time | Tue, 11 Aug 2026 10:00:00 +0000 |
| Retrieval time | 2026-08-11T10:05:42.347Z |
| Last seen | 2026-08-11T10:05:42.347Z |
| 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 | Wti9mPJGe61E · 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
Q & A How one VC burns through hundreds of millions of tokens a day to find the next unicorn The investor behind a $75-million AI-focused fund explains why reading research papers and testing frontier models has become part of his job. By Ananya Bhattacharya 11 August 2026 Artificial intelligence is forcing venture capitalists to rethink how they invest. For decades, investors backed startups by judging founding teams, products, and markets. But as AI advances at breakneck speed, many now believe they need a much deeper understanding of the technology itself — or risk missing breakthroughs that can create entirely new categories overnight. Pratyush Choudhury, co-founder of Activate AI, India’s first VC fund dedicated exclusively to AI, is among those embracing that shift.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Rest of World.
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