
Show Notes
In this episode of Invest Like The Best, Patrick O'Shaughnessy sits down with Anthropic CFO Krishna Rao for a fascinating look inside one of the fastest-growing AI companies in the world. Krishna reveals what it takes to manage the lifeblood of generative AI: compute. From procuring gigawatts of processing power across Amazon, Google, and Nvidia, to dynamically allocating it for model training and customer demand, compute dictates Anthropic's future. They explore the company's mind-bending exponential revenue growth, the "cone of uncertainty" in forecasting, and why frontier AI models continue to defy scaling limits. Krishna also shares how Claude is revolutionizing his own internal finance team, Anthropic's unique culture of safety and transparency, and his bold predictions for AI-driven breakthroughs in healthcare.
#Anthropic #AI #ArtificialIntelligence #Investing #Technology #Claude #Compute #MachineLearning #VentureCapital #Finance
Timestamps: 0:00 Intro 2:38 The Compute Canvas 6:51 The "Cone of Uncertainty" in AI Growth 11:58 Why the Returns to Frontier Intelligence Are So High 16:45 Recursive Self-Improvement 20:20 Scaling Laws 23:30 Sourcing $100 Billion in Compute 28:05 Platform vs. Application Strategy 32:52 Pricing Dynamics 38:48 How Anthropic’s Finance Team Uses Claude 43:24 Raising Capital & Overcoming Investor Skepticism 52:32 Public Perception, Risks, and Government Regulation 57:25 Mythos 1:12:33 What Could Derail the AI Revolution? 1:13:47 Biotech and Healthcare 1:15:31 The Kindest Thing
Presented by Ramp: https://ramp.com/invest
Sponsored by Vanta, WorkOS, Rogo, and Ridgeline: https://www.vanta.com/invest https://workos.com/ https://rogo.ai/invest https://www.ridgelineapps.com/
****** Patrick O'Shaughnessy is the CEO of Positive Sum. All opinions expressed by Patrick and podcast guests are solely their own and do not reflect the opinion of Positive Sum. This podcast is for informational purposes only and should not be relied upon as a basis for investment decisions. Clients of Positive Sum may maintain positions in the securities discussed in this podcast. To learn more, visit psum.vc
Conviértete en un supporter de este podcast: https://www.spreaker.com/podcast/invest-like-the-best--7309953/support.
More from Invest Like The Best
Sarah Guo is the founder of Conviction and one of the most closely watched investors in AI. In this conversation, Sarah and Patrick discuss what the people at the frontier of AI actually believe, why some researchers think exponential intelligence may be only a few years away, and how she’s navigating an investing environment that can’t be backtested.
Neil Movva, co-founder of Sail Research, joins Patrick to explain why the next era of AI may be defined not by faster chatbots, but by background agents that work autonomously for hours, days, or even weeks—and what it will take to make that intelligence cheap enough to become abundant. Neil lays out Sail’s “token factory” strategy across software, chips, data centers, and power; the lessons he learned chasing “speed of light” performance at Nvidia; why he’ll buy almost any chip at the right price; and why unreliable, distributed data centers powered by sources like solar and wind could actually be an advantage. They also discuss transformers and memory, the future of AI training data, the economics of the chip shortage, open versus closed models, and Neil’s belief that there will always be demand for more intelligence.
Ben Thompson joins Invest Like the Best for a wide-ranging conversation about the economics, geopolitics, and business models shaping the AI era. They discuss why overwhelming U.S. dominance in AI could be dangerous, whether the massive AI infrastructure buildout can generate returns before the capital runs out, and what the railroad boom can teach us about today’s spending cycle. Ben also explains why Google may increasingly resemble Berkshire Hathaway, how AI could turn intelligence into a commodity, why Amazon may have the deepest moat in technology, what Apple gets right by staying focused on hardware, how AI threatens Microsoft’s core business, why the current compute shortage may have saved Intel, and why Google and Amazon could ultimately become Nvidia’s most important competitors.
Eric Vishria, General Partner at Benchmark, joins Invest Like the Best for a wide-ranging conversation on how AI is reshaping software, infrastructure, and venture investing. He explains why the competitive frontier for SaaS has shifted, why companies can destroy value by faithfully executing an outdated plan, and what the cloud wars can teach us about the emerging AI market. Eric also discusses Fireworks and Sierra, the importance of understanding AI’s “jagged edge,” why some AI companies are effectively “selling magic,” and why he believes the market could support many enormous winners. The conversation also covers energy as a potential bottleneck to intelligence, the story behind Benchmark’s early investment in Cerebras, the future of robotics, what he looks for in founders and board partnerships, Benchmark’s expansion into growth investing, and the lessons he’s learned from backing companies capable of generating extraordinary returns.
In this episode of Invest Like the Best, Patrick O'Shaughnessy sits down with Gavin Baker to dissect the intense AI and semiconductor market sell-off of July 2026. Describing the period as "2022 packed into a single month," Gavin explains why public market panic contrasts sharply with the booming fundamentals seen on the ground in Silicon Valley. They dive into the accelerating operating cash flows of hyperscalers, the soaring spot prices for GPUs, and why open-source AI models are actually driving massive infrastructure demand. Gavin also unpacks the game theory behind Long-Term Agreements (LTAs) in the memory market, NVIDIA's strategic dominance, SpaceX's massive data center ambitions, and the looming regulatory risks for AI compute.