Episode #110: Trust, Debt, and Foundation Models: The New Global Competition

Episode #110: Trust, Debt, and Foundation Models: The New Global Competition

In this episode of the Stewart Squared podcast, host Stewart Alsop sits down with his father Stewart Alsop II to explore the rapidly evolving landscape of AI and foundation models, with a particular focus on Anthropic's anticipated IPO. The conversation spans from Stewart's latest adventures in self-hosting and creating sizzle reels with AI to the seismic shift brought by Anthropic's release of Claude Opus 5.5—a model that's both cheaper and more capable, fundamentally changing the economics of AI services. The discussion takes a historical turn as they compare today's AI competition to past tech IPO races, from the 1986 cluster of Oracle, Microsoft, and Sun going public within days of each other to the more recent Uber-Lyft showdown. Stewart and Stewart dig into how Anthropic's potential first-mover advantage in going public could allow them to define the competitive landscape before OpenAI, drawing parallels to how Apple and Microsoft established themselves in different eras. The episode also tackles bigger questions about state power, reserve currencies, and how foundation model companies like Anthropic and OpenAI are positioning themselves as modern equivalents to the international corporate powerhouses of previous generations, all while the technology continues its relentless march toward making programming accessible to everyone through what Stewart calls "the new BASIC."

Key Insights

1. The foundation model companies are experiencing rapid commoditization as competitive pressures force them to release better models at lower prices. Anthropic released Opus 5.5, which is both high quality and cheap, effectively making expensive subscriptions unnecessary. This represents an implicit admission that companies can no longer maintain the business model of very expensive models, particularly after OpenAI's competitive releases. The training costs are becoming a smaller component of the overall service compared to inference costs, which changes the economics significantly. Companies are now competing on price while maintaining similar capabilities, suggesting the fundamental functionality of these models is becoming commoditized.

2. Anthropic has a strategic advantage in going public first because they can define the elements of competition for foundation model companies. By dropping their S-1 filing before OpenAI, they will establish how investors should evaluate these companies, present financial metrics, and position the market before their competitor. This is similar to historical IPO races, such as the 1996 search engine rush when Lycos, Excite, and Yahoo went public within days of each other. However, unlike those examples where none became the ultimate winner, this race matters because Anthropic can establish themselves as a public company while OpenAI remains private.

3. Anthropic has maintained remarkably consistent messaging around safety and responsible AI development, which builds trust with customers and investors. Since the founding team left OpenAI specifically over safety concerns, they have stayed focused on that message despite some pricing missteps. This consistency mirrors Apple's approach more than Microsoft's scattered strategy. OpenAI, by contrast, has pursued hardware projects, advertising, and various other initiatives that create uncertainty about their core mission. This fundamental positioning difference could prove crucial for their respective IPOs and long term success.

4. The scale of technology companies has expanded dramatically since the PC era IPOs of the 1980s. Apple went public at a market value of 1.8 billion dollars and Microsoft at 780 million dollars, while today's companies like OpenAI are valued around 300 billion dollars. This transformation occurred primarily because of the Internet, which connected billions of people globally rather than serving niche markets of millions. The unit volumes expanded from millions in the PC industry to hundreds of millions on the early Internet to billions today, with companies like Facebook and Apple each serving approximately 2.5 billion people.

5. Microsoft became a form of state power in the 1990s when Bill Gates was treated as a visiting head of state by foreign governments, including being requested to meet with the premier of China. This represented a shift where technology companies gained influence comparable to nation states. Today, companies like Meta are exercising similar power, with Zuckerberg directly interfering in Brazilian elections by allowing AI political ads against local law. The relationship between corporations and governments has evolved into a complex mixture where companies like OpenAI and Anthropic are entering this space of international corporate power.

6. Vibe coding represents the current generation's entry point for non technical people to create software, similar to how BASIC enabled beginners to program personal computers and HTML allowed people to create websites. This phenomenon of progressively higher level interfaces between computers and people occurs in every technology generation. Today, prompt engineering has become the new BASIC, allowing people to build functional software through conversation with AI models. This accessibility is expanding who can create technology, though the vast majority of the 8 billion people on Earth still just want to use technology rather than build it.

7. The US dollar's status as the reserve currency creates unique dynamics for American companies going public. The US government can print money to service its debt since it borrows in its own currency, unlike other nations that must borrow in dollars. However, this creates inflation risk where the government could devalue the currency to manage debt. Historical examples from Britain and the Dutch Republic show how reserve currency status can be lost through mismanagement. This macroeconomic context affects how investors should evaluate long term investments in American technology companies like Anthropic.

Timestamps

00:00 Welcome and discussing Stewart's new ability to create audio visual content, specifically a sizzle reel constructed from Google Photos for robotics courses.

05:00 Claude Anthropic released Opus 5.5 which is remarkably cheap and high quality, reducing reliance on expensive models and changing competitive dynamics with OpenAI.

10:00 Discussion of how training costs are becoming smaller component of foundation model economics while inference margins improve, affecting IPO valuations.

15:00 Anthropic racing to IPO first will let them define competition terms before OpenAI goes public, examining historical tech IPO races like Lyft-Uber and 1996 search engines.

20:00 Comparing Apple and Microsoft's 1980s IPOs at much smaller valuations versus today's trillion-dollar foundation model companies and how Internet transformed scale.

25:00 Exploring how US dollar as reserve currency affects tech valuations and examining historical cases like Britain losing sterling dominance after World Wars.

30:00 Microsoft becoming state power player with Bill Gates meeting world leaders, and how Anthropic enters this realm of international corporate influence.

35:00 Zuckerberg interfering in Brazilian elections shows corporation-government power dynamics, Trump administration's selective corporate relationships with companies like Tether.

40:00 Anthropic maintains consistent safety messaging versus OpenAI's scattered approach, comparing to Apple's focus versus Microsoft's everything strategy.

45:00 Vibe coding as modern equivalent of BASIC programming, making AI accessible while service-as-software emerges as non-scalable customized consulting model disrupting traditional tech.

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