Diet TBPN: October 20th, 2025
Diet TBPN: October 20th, 2025
Podcast14 min 1 sec
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Note: AI-generated summary based on third-party content. Not financial advice. Read more.
Quick Insights

Be cautious of a potential AI sector bubble pop within the next year, which could be driven by over-leveraged markets rather than a failure in technology. A significant market correction could present a buying opportunity for long-term investors who believe in the AI theme. Consider Oracle (ORCL) as a high-leverage investment on the success of OpenAI, as Oracle is spending heavily on infrastructure to support this key client. Be aware of the growing "Ozempic Effect" as a potential long-term headwind for certain consumer industries. This trend could negatively impact demand for snack food, liquor, and casino/leisure companies.

Detailed Analysis

Artificial Intelligence (AI) Sector

  • A major topic of discussion was the sentiment around the AI sector, specifically whether it is in a bubble.
  • Respected AI researcher Andre Karpathy stated that Artificial General Intelligence (AGI) is likely 10 years away.
    • This was perceived by the market as a bearish take, causing some to believe the "AI bubble is over" and that it's time to rotate out of AI stocks.
    • The podcast hosts, however, view a 10-year timeline to AGI as "extremely bullish," highlighting how high expectations have become.
  • One host predicted a potential "massive financial crisis or bubble pop" affecting AI in the next year.
    • This would not be due to a failure of the technology itself, but for "mundane economic reasons" like over-leveraged markets, fraud, and mistimed bets.
    • It was noted that over $1 trillion of investment is riding on the belief that AGI is "right around the corner."
  • JP Morgan analyzed NVIDIA CEO Jensen Huang's projection that AI capital expenditures (CapEx) could grow from $600 billion today to $3-4 trillion by 2030.
    • The bank found this projection to be "financially feasible, though ambitious," noting that private markets and leverage could help cover the funding gap.

Takeaways

  • Sentiment is key: The market is highly sensitive to comments from key AI figures like Andre Karpathy and Sam Altman. A 10-year timeline for AGI is now considered "bearish" by some, indicating potentially inflated short-term expectations.
  • Potential for a bubble pop: Investors should be aware of the risk of a financial correction in the AI sector. This risk may come from financial factors (like over-leverage) rather than a slowdown in technological progress.
  • Long-term growth is still massive: Despite short-term bubble fears, the projected growth in AI spending over the next decade is enormous. A potential market downturn could present a buying opportunity for long-term believers in the AI theme.

NVIDIA (NVDA)

  • CEO Jensen Huang stated at a Citadel event that NVIDIA is "100% out of China."
    • This means their market share in China has gone from 95% to 0% due to US policy.
  • Despite this, the company is reportedly doing "astonishingly healthy business" in Singapore and Malaysia.
  • This has led to speculation that these countries may be acting as fronts to get NVIDIA chips into China, circumventing US restrictions.

Takeaways

  • Geopolitical risk is a major factor: US-China trade policy has directly and completely cut off NVIDIA from the Chinese market, a significant risk for any company with exposure to the region.
  • Monitor regional sales data: The sharp increase in sales to countries like Singapore and Malaysia is a noteworthy development. Investors should watch to see if this trend continues and if it draws regulatory scrutiny, as it could be a way for NVIDIA to indirectly service Chinese demand.

OpenAI (Private Company)

  • OpenAI is reportedly acting like a "traditional hyperscaler" (like Google or Amazon in their early days), focusing on scaling its business.
    • This includes launching a social media app, working on ads, and growing its base of paid users.
    • User growth for ChatGPT is reportedly "slowing a little bit," which is expected given its massive scale.
  • OpenAI has announced major partnerships with Etsy and Walmart.
  • It was noted that they have not partnered with Amazon or eBay, suggesting that these e-commerce giants may view OpenAI as a potential competitor and are hesitant to integrate its technology deeply into their platforms.

Takeaways

  • OpenAI is a private company and not directly investable for the public, but its actions heavily influence the entire AI ecosystem.
  • Watch the partnerships: OpenAI's choice of partners (Etsy, Walmart) and non-partners (Amazon, eBay) provides a map of the emerging competitive landscape. Companies that partner with OpenAI may gain a technological edge, while those that don't may be trying to develop their own competing AI.
  • A bellwether for the AI market: The slowing growth of ChatGPT could be an early indicator that the initial explosive growth phase for AI chatbots is maturing. This could impact investor sentiment for the entire sector.

Oracle (ORCL)

  • Oracle is on the hook for approximately $300 billion in infrastructure spending over the next five years.
  • This massive investment is to build out capacity for its major client, OpenAI.
  • The company is reportedly hoping that the revenue it generates from OpenAI will be sufficient to pay for this infrastructure build-out.

Takeaways

  • High-stakes bet on OpenAI: Oracle has made a very large, concentrated bet on the success of OpenAI. Its future performance is now closely tied to OpenAI's ability to continue growing and paying for cloud services.
  • Potential for high reward or high risk: If OpenAI succeeds and scales as projected, Oracle stands to benefit immensely. However, if OpenAI's growth falters or it switches providers, Oracle could be left with massive, underutilized infrastructure costs. This makes ORCL a high-leverage play on the success of OpenAI.

Amazon (AMZN)

  • A brief AWS (Amazon Web Services) outage was mentioned at the beginning of the podcast.
  • The hosts noted that OpenAI has chosen not to partner with Amazon, suggesting a competitive "fox in the henhouse" dynamic where Amazon's management is wary of letting a potential rival into its ecosystem.

Takeaways

  • Competition over collaboration: Amazon appears to be in a competitive stance against OpenAI, rather than a collaborative one. This is significant as AWS is the largest cloud provider.
  • Monitor AI strategy: Investors should watch how Amazon develops and promotes its own internal AI models (like its own potential competitor to ChatGPT) as it is choosing to compete rather than partner with the current market leader.

Starbucks (SBUX)

  • CEO Brian Niccol announced that the coffee giant is "all in on AI."
  • The company plans to use real-time AI systems to assist baristas and "transform store operations."
  • The hosts humorously pointed out that the stock was up 6.66% on the day of the recording.

Takeaways

  • AI adoption in non-tech sectors: Starbucks is an example of a traditional consumer company integrating AI into its core operations to improve efficiency.
  • Potential for margin improvement: If successful, these AI systems could lead to faster service, better inventory management, and improved store profitability, which could be a long-term positive for the stock.

GameStop (GME)

  • The CEO of GameStop, Ryan Cohen, was scheduled to be a guest on the show.
  • A brief, joking mention was made of "GameStop shorts" potentially being behind an AWS outage to stop the podcast.

Takeaways

  • Continued high profile: The mention of the CEO and "shorts" indicates that GameStop remains a high-interest "meme stock" with a dedicated following and significant short interest. There were no specific investment insights beyond its continued relevance in market conversations.

Uber (UBER)

  • Uber is reportedly planning to give its US drivers an option to earn extra money by performing "digital tasks."
  • These tasks, such as data labeling for AI models, are designed to be short and can be done while drivers are idle and waiting for passengers.

Takeaways

  • Diversifying driver income: This initiative could increase driver retention and earnings, making the platform more attractive for gig workers.
  • Entering the AI supply chain: By facilitating data labeling, Uber is finding a new way to tap into the AI economy, using its network of drivers as a distributed workforce for a critical AI development task. This creates a new, albeit likely small, revenue stream.

Consumer & Leisure Sector (Ozempic Effect)

  • A theory was discussed that the rise of weight-loss drugs like Ozempic is having a negative impact on various industries.
  • It was suggested that these drugs could be "killing Vegas" by reducing impulsive behaviors associated with drinking and partying.
  • The effect is also seen as a negative for snack food brands and liquor producers.
  • The decline in Las Vegas activity was also potentially linked to broader recessionary indicators.

Takeaways

  • A new headwind for consumer staples: Investors in snack food, alcohol, and potentially even casino/leisure companies should consider the growing use of GLP-1 drugs (like Ozempic) as a potential long-term headwind that could suppress demand.
  • Monitor consumer behavior shifts: This is a developing theme. Watch for earnings reports and management commentary from these sectors to see if they acknowledge a material impact from these drugs on their sales.
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TBPN

By John Coogan & Jordi Hays

Technology's daily show (formerly the Technology Brothers Podcast). Streaming live on X and YouTube from 11 - 2 PM PST Monday - Friday. Available on X, Apple, Spotify, and YouTube.