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20VC: "Anti-Data Centres is a Chinese Psyop" | How Many Planned Data Centers Will Actually Get Built? | Is Energy AI's Biggest Bottleneck? With Thomas Sohmers, Co-Founder @ Positron

2026-09-19 · 72 min · 11 entities

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    20VC: "Anti-Data Centres is a Chinese Psyop" | How Many Planned Data Centers Will Actually Get Built? | Is Energy AI's Biggest Bottleneck? With Thomas Sohmers, Co-Founder @ Positron
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Entities found in this episode

concepts 7

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  • discusses Business concept
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persons 3

  • mentioned Thomas Sohmers person
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    evidence rules-v4
    20VC: "Anti-Data Centres is a Chinese Psyop" | How Many Planned Data Centers Will Actually Get Built? | Is Energy AI's Biggest Bottleneck? With Thomas Sohmers, Co-Founder @ Positron
  • mentioned Harry Stebbings person
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    evidence rules-v4
    Feed author/publisher: Harry Stebbings
  • hosted by Harry Stebbings person
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    evidence rules-v4
    Feed author/publisher: Harry Stebbings

podcasts 1

Episode description as stored
Thomas Sohmers is the co-founder and chairman of Positron AI, building chips to make running AI dramatically cheaper and more energy-efficient. The company recently announced an $875 million Series C at a $5 billion valuation, backed by investors including Gavin Baker's Atreides Management, NEA, Valor Equity Partners and Netscape co-founder Jim Clark. AGENDA: 04:30 Why Does AI Inference Need Different Hardware from Training? 10:25 What Is Nobody Telling You About AI's Token Economics? 13:10 Should We Really Slow Down the AI Frontier? 16:55 What Happens If America Slows Down—and China Doesn't? 19:30 Should We Restrict China's Access to AI Chips? 20:15 Why Aren't Zuckerberg and Jensen Backing an AI Slowdown? 21:25 Are We Being Misled About Data Centers? 23:25 Can the West Beat China While Drowning in Regulation? 26:20 How Many Planned Data Centers Will Actually Get Built? 27:15 Data Centers in Space: Real Opportunity or Elon Hype? 28:10 Is Energy AI's Biggest Bottleneck? 29:55 Could the Debt Boom Derail AI? 31:25 What Is KV Caching—and Why Does It Change AI Economics? 35:25 Does Compressing AI's Memory Make It Less Intelligent? 41:05 How Do We Solve AI's Exploding Memory Demands? 43:45 Will Every Company Own Its Own AI Model? 47:10 Why Bet on Ever-Bigger Models? 48:20 If We Already Have AGI, What Comes Next? 53:25 What Happens When Every AI Lab Builds Its Own Chips? 57:30 If DeepSeek Can Slash Costs with Software, Why Build New Hardware? 59:50 How Cheap Will AI Tokens Be by 2028? 1:03:15 What Would Be the First Warning Sign of an AI Bust? 1:03:55 Could Open Models Break OpenAI and Anthropic's Growth? 1:05:55 Could Mercor and Surge Become $200 Billion Companies?