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Episode #105: Beating OpenAI at Their Own Game: Our Case, and the Filing That Settles It

Episode #105 · September 3, 2026 · 1h 1m

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About this episode

In this episode of the Stewart Squared podcast, host Stewart Alsop III and his father Stewart Alsop II dig into the unprecedented AI infrastructure buildout happening across big tech, with Google raising $85 billion in equity and floating bonds to fund data centers while questions mount about whether this mirrors the dark fiber overbuilding of 2001. They analyze the diverging paths of Anthropic and OpenAI, with Anthropic's revenue reportedly hitting a $65 billion run rate—now surpassing OpenAI—while maintaining a focused enterprise strategy versus OpenAI's scattershot approach and slowing growth. The conversation covers everything from token economics and the commodification of frontier models to SpaceX's Starlink business carrying the company, OpenRouter's role as the infrastructure layer enabling efficient model switching (recently acquired by Stripe for $7.5 billion), and predictions around the upcoming Anthropic IPO expected in September, which could beat OpenAI to market and fundamentally shift the competitive landscape.
Timestamps
  • 00:00Discussion begins on AI foundational models' unprecedented fundraising for data centers, with Google raising $80 billion in equity and floating bonds to build infrastructure.
  • 05:00Examining Berkshire Hathaway's $10 billion investment in Google and comparing data center strategies between Anthropic's measured approach versus OpenAI's aggressive buildout plans.
  • 10:00Exploring token consumption efficiency and the mythical man month concept as LLMs begin programming themselves, creating uncertainty around future productivity metrics.
  • 15:00Analysis of Stripe acquiring OpenRouter for $7.5 billion and the virtualization of AI infrastructure enabling users to switch between multiple models seamlessly.
  • 20:00Discussion of OpenRouter's functionality as a platform for routing between models and how Anthropic attempted but failed to shut down programmatic API access.
  • 25:00Examining token pricing strategies as both Anthropic and OpenAI reduce promotional discounts while Grok introduces competing terminal products to maintain user costs.
  • 30:00Comparing streaming service fragmentation to LLM competition and the opportunity for intermediary services that prioritize users over platforms in enterprise deployment.
  • 35:00Analysis of United Airlines' real-time IT transformation demonstrating how enterprise technology deployment creates competitive advantages through better customer service.
  • 40:00Breaking down Anthropic's revenue model combining per-seat subscriptions, per-token API usage, and dedicated capacity sales targeting enterprise customers effectively.
  • 45:00Discussing Anthropic's accelerated IPO timeline for September versus OpenAI's delayed October offering as revenue growth and strategic clarity create market differentiation.
  • 50:00Explaining S-1 filing process and roadshow mechanics for IPOs while comparing SpaceX's successful trillion-dollar offering to anticipated Anthropic public debut.
  • 55:00Exploring SpaceX's Starlink economics and satellite business growth driving profitability while government contracts triple under current administration supporting rocket operations.
Key Insights
  1. Major tech companies are conducting unprecedented fundraising to build AI data centers, with Google raising $80 billion in equity for the first time since 2005 and also floating bonds. This massive capital expenditure mirrors the early 2000s dark fiber buildout when telecom companies overbuilt infrastructure and subsequently went bankrupt, raising questions about whether AI data centers will face a similar fate. The scale of spending is completely unprecedented, with companies spending beyond their substantial cash flows to build out capacity, making data centers an increasingly contentious political issue as communities resist their presence due to noise, water usage, and power consumption concerns.
  2. Chinese AI investment is growing faster than American spending despite starting from a smaller base. Goldman Sachs projects that Alibaba, Tencent, ByteDance, and Baidu will spend roughly $102 billion combined in 2026, growing at over 80 percent year over year, while the American big four companies are spending approximately $764 billion with 77 percent growth. Although the United States currently maintains a significant spending advantage, China's accelerating investment rate and the overall demand dynamics create complex forecasting challenges similar to the fiber buildout era, where excess capacity took ten to fifteen years to be fully utilized.
  3. Anthropic has emerged as the clear winner in the foundational model race, with revenue hitting a $65 billion annual run rate by July 2025, up sevenfold from the previous year. The company's focused enterprise strategy, selling primarily to businesses rather than consumers, contrasts sharply with OpenAI's scattered approach. Anthropic maintains three revenue streams: per seat pricing for application products, per token pricing on APIs, and dedicated capacity for large steady workloads. This disciplined approach to building infrastructure that matches revenue growth, rather than OpenAI's strategy of building maximum capacity and hoping demand catches up, positions Anthropic favorably for a potential $100 billion IPO as early as September.
  4. OpenAI faces significant strategic challenges that have slowed its growth and delayed its IPO plans from the originally anticipated October timeframe to an uncertain future date. The company lacks a coherent product strategy, bouncing between initiatives while its revenue growth has decelerated compared to Anthropic. The organizational structure appears fragmented, with CEO Sam Altman, CFO Sarah Fryer, and President Greg Brockman not operating as a unified leadership team. If Anthropic successfully completes its IPO first, it will set unfavorable comparison terms for OpenAI, potentially creating an unmitigated disaster scenario where investors question why they would buy OpenAI stock when Anthropic demonstrates superior execution and faster growth.
  5. Enterprise adoption of AI represents a fundamental shift comparable to past technology transitions, with companies like United Airlines demonstrating how real time AI powered systems create competitive advantages. The mythical man month principle that governed programming efficiency for decades no longer applies when AI agents can write code with minimal human supervision. However, token consumption and cost management have become critical issues, with companies like ATT moving 60 to 70 percent of their AI workloads from premium models to open source alternatives to control expenses. Both Anthropic and OpenAI recently ended promotional discounts, signaling a shift from market share acquisition to profitability, similar to how Uber eventually raised prices after establishing market dominance.
  6. The AI infrastructure ecosystem has become highly virtualized and complex, with services like OpenRouter enabling seamless switching between multiple models and providers. This virtualization creates opportunities for intermediary services that manage costs and optimize model selection, similar to how streaming services compete for viewer attention. However, model providers like Anthropic attempted to shut down programmatic API access when services like Claude Bot emerged, only to reverse course a month later when they recognized their models had become commoditized. The fundamental challenge is that frontier models are rapidly becoming commodities as Chinese competitors and open source alternatives close the capability gap.
  7. SpaceX successfully executed an unprecedented IPO exceeding one trillion dollars in valuation by raising $75 billion, setting new precedents for mega offerings that will influence how Anthropic and OpenAI approach their public market debuts. The SpaceX offering demonstrated that companies can maintain high valuations through diversified revenue streams, with Starlink satellite internet service proving highly profitable and growing rapidly while subsidizing other business segments. The company strategically rents excess data center capacity to competitors like Anthropic, generating unexpected revenue that supported its valuation. This model suggests that AI companies may need similar diversification strategies rather than relying solely on foundational model development to sustain public market valuations.
Episode transcript
Voice 100:15

Everyone is wrong about AI, but if you know the history of technology, you can be wrong and still be right.

Voice 200:21

I know the history since I started in technology with the personal computer in 1980. So listen in while we explore what is true about AI.

Voice 100:32

Welcome to the Stuart Squared podcast. a lot of things happened this week. We're going to talk about basically this crazy fundraising that the AI foundational models are doing in order to build out data centers. Data centers are going to become a political topic. They already are a political topic. Everyone hates Silicon Valley at the moment. And they're building out these data centers and then they're spending billions. Google just did an equity fundraise to build out data centers, with getting $80 billion for their first equity raise since 2005, where they raised like 2 or 3 billion and they just raised 80 billion. and then they're also floating bonds. So the big tech companies are now floating bonds in order to build out the data centers. they might be worried about sort of cash. They ha. They make a lot of cash, but they're just spending. This is just totally unprecedented. We've talked a year and a half ago about how this is reminiscent, of the early 2001 dark fiber, where all the telecom community companies, build out huge fiber networks which they weren't able to use because they went bankrupt and then they got bought. and you know, is this happening for the data centers as well? The data centers so seem to be just like unprecedented building out and at the same time people like, the politics of it is getting really intense as well. What's your take?

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