Dwarkesh Podcast · Podcast summary
Dylan Patel – Anthropic & OpenAI will have most of the world’s compute by 2028
Dylan Patel, founder of SemiAnalysis, discusses the escalating demand for AI compute, the increasing concentration of this compute among top labs like Anthropic and OpenAI, and the profound economic and geopolitical implications of this trend.
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Dylan Patel, founder of SemiAnalysis, returns to discuss the unprecedented growth in AI compute and its far-reaching implications for the global economy, corporate power, and even national security. The conversation delves into the rapid expansion of AI labs, the financial dynamics of compute acquisition, and the potential for a sovereign debt crisis fueled by this technological revolution.
The Exponential Growth of AI Compute
Patel highlights the staggering growth of AI compute, noting that most of the GDP growth in America last year was driven by AI infrastructure. This year, about a third of all new compute coming online is dedicated to AI labs. Looking ahead, the numbers are set to balloon, with over a trillion dollars in capital expenditure (CapEx) this year, projected to exceed $2 trillion by 2028. The labs' share of this compute is also increasing dramatically. Companies that once spent tens of billions are now forecasting trillions of dollars in annual spending towards the end of the decade, as evidenced by contracts they are already signing with partners.
This massive investment is reshaping the economics of these labs. Historically, companies like Anthropic and OpenAI primarily operated at a loss, funded by venture capital. However, Anthropic began turning a profit in Q2, and OpenAI is expected to follow suit in Q3. This shift means that an increasing portion of their business is being funded by their own revenue rather than external capital injections. Patel emphasizes that the margins for these labs have "skyrocketed." While the base cost of compute is around $10-15 million per megawatt, labs like Anthropic are now generating revenue as high as $50 million per megawatt. This allows them to reinvest profits into further training, creating a powerful feedback loop.
Keep reading in The Digest
The full 5-minute article, 5 more sections, and every new episode from Dwarkesh Podcast and the creators you follow.
- The Centralization of Compute Power
- The Financial Constraints and Supply Chain Dynamics
- Geopolitical Implications: China's AI Ambitions
- The Sovereign Debt Crisis and the Future of Capitalism
- The Centralization of Power and the Future of AI
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