AI Daily Briefing
Anthropic Hits $965B, EU Scraping Rules & the VC Concentration Trap
July 10 · 5 min · 4.7 MB
0:00-5:00
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(00:00:00) Anthropic Hits $965B, EU Scraping Rules & the VC Concentration Trap
(00:00:49) Anthropic Overtakes OpenAI at $965B
(00:01:37) EU GDPR Rules on AI Training Data
(00:02:30) Asian Founder Exodus to Silicon Valley
(00:03:27) Mercor Acquires Deeptune for Agent Training
(00:03:59) Energy and Sovereign AI Reshape Asia Strategy
Four hundred and twelve billion dollars flowed into U.S. venture capital in the first half of this year — and 86% of it went to AI. But strip away the mega-rounds and a sharper picture emerges: deals below $100M now represent just 12.5% of total venture value, down from 43.8% two years ago. The headline is a boom. The distribution tells a different story.
At the top of that concentration sits Anthropic, which just closed a $65 billion funding round at a post-money valuation of $965 billion — a 157% step-up in a single quarter. That now puts Anthropic ahead of OpenAI by valuation, with both companies having filed confidentially to go public. The trillion-dollar AI lab is no longer hypothetical.
Meanwhile, Europe is tightening the rules. The EU Data Protection Board adopted Guidelines 03/2026 on July 8th — an enforceable pan-EU framework requiring legal review before scraping, data minimization at collection, and special handling for sensitive training data. Critically, existing datasets are not grandfathered. Compliance teams at frontier labs are now auditing data pipelines that were never designed for this standard.
Elsewhere: more than 30 founding teams have relocated from Asia to Silicon Valley via Antler since 2025, as Southeast Asian VC funding collapsed 80% from 2022 to 2024. AI hiring platform Mercor — now at $2 billion ARR — acquired simulation platform Deeptune to build full-stack agent-training infrastructure. And Asian infrastructure investors are pivoting toward resilient AI: liquid cooling, smart grids, and small modular reactors as power constraints become the primary bottleneck for large-scale AI deployment.
The real story isn't the $412B total. It's who's capturing it — and who isn't.
This episode includes AI-generated content.
(00:00:49) Anthropic Overtakes OpenAI at $965B
(00:01:37) EU GDPR Rules on AI Training Data
(00:02:30) Asian Founder Exodus to Silicon Valley
(00:03:27) Mercor Acquires Deeptune for Agent Training
(00:03:59) Energy and Sovereign AI Reshape Asia Strategy
Four hundred and twelve billion dollars flowed into U.S. venture capital in the first half of this year — and 86% of it went to AI. But strip away the mega-rounds and a sharper picture emerges: deals below $100M now represent just 12.5% of total venture value, down from 43.8% two years ago. The headline is a boom. The distribution tells a different story.
At the top of that concentration sits Anthropic, which just closed a $65 billion funding round at a post-money valuation of $965 billion — a 157% step-up in a single quarter. That now puts Anthropic ahead of OpenAI by valuation, with both companies having filed confidentially to go public. The trillion-dollar AI lab is no longer hypothetical.
Meanwhile, Europe is tightening the rules. The EU Data Protection Board adopted Guidelines 03/2026 on July 8th — an enforceable pan-EU framework requiring legal review before scraping, data minimization at collection, and special handling for sensitive training data. Critically, existing datasets are not grandfathered. Compliance teams at frontier labs are now auditing data pipelines that were never designed for this standard.
Elsewhere: more than 30 founding teams have relocated from Asia to Silicon Valley via Antler since 2025, as Southeast Asian VC funding collapsed 80% from 2022 to 2024. AI hiring platform Mercor — now at $2 billion ARR — acquired simulation platform Deeptune to build full-stack agent-training infrastructure. And Asian infrastructure investors are pivoting toward resilient AI: liquid cooling, smart grids, and small modular reactors as power constraints become the primary bottleneck for large-scale AI deployment.
The real story isn't the $412B total. It's who's capturing it — and who isn't.
This episode includes AI-generated content.
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