Gavin Baker: SpaceX Might Be the Greatest Company of All Time
Gavin Baker: SpaceX Might Be the Greatest Company of All Time
Podcast33 min 8 sec
Listen to Episode
Note: AI-generated summary based on third-party content. Not financial advice. Read more.
Quick Insights

Investors should prioritize SpaceX as a massive infrastructure play, focusing on the activation of "Colossus" data centers over the next 12 months as a primary revenue driver. In the public markets, NVIDIA (NVDA) remains the core hardware holding, with the upcoming Ruben chip cycle offering a simplified "drop-in" growth catalyst for data centers. Look for a potential business model pivot from Meta (META); any announcement regarding external GPU monetization or API access could significantly re-rate the stock's valuation. To capture the "Token Path" theme, consider Akamai (AKAM) and Cloudflare (NET), which are positioned to benefit from high-margin, low-latency AI delivery at the edge. Finally, shift focus from "bottleneck" supply trades toward companies with enduring franchise value that can maintain dominance once initial AI hardware constraints ease.

Detailed Analysis

SpaceX (Private/Recently IPO'd)

The discussion highlights SpaceX as potentially the "greatest company of all time," focusing on its flawless execution and its transition from a long-term visionary story to a company with tangible, near-term revenue drivers.

  • Monetizing Gigawatts: SpaceX is reportedly monetizing data center power (gigawatts) at a rate 2x higher than average "neocloud" pricing.
  • Speed of Execution: According to Jensen Huang (NVIDIA CEO), SpaceX brings data centers online faster than anyone else in the ecosystem.
  • Orbital Compute: There is a compelling thesis for moving compute into space. Once Starship is reusable, the cost to launch a gigawatt of compute could be $30 billion, compared to $60 billion for the same capacity on Earth (where land, power, and cooling costs are inflationary).
  • Employee Sentiment: Over 10,000 employees participated in the IPO, suggesting high internal confidence and a potentially stable long-term supply/demand dynamic for the stock.

Takeaways

  • Look Beyond Rockets: Investors should view SpaceX not just as a space exploration company, but as a massive "token factory" and infrastructure play that competes with traditional cloud providers.
  • Short-term Catalyst: Watch for the activation of "Colossus" data centers (3 through 10). The speed at which they energize new GPUs is the primary revenue driver for the next 12 months.
  • Long-term Valuation: If SpaceX successfully establishes a "city on the Mars" or becomes the "British East India Company of the solar system," it could become the most valuable company in history.

Meta (META)

The sentiment toward Meta is characterized by skepticism regarding their ability to monetize their massive AI investments outside of their core advertising business.

  • Valuation Metric: The analyst suggests looking at EV to Net PP&E (Enterprise Value to Net Property, Plant, and Equipment). Meta’s multiple suggests the market doubts they can monetize their massive physical asset base (data centers).
  • External Monetization: While Meta currently claims they won't monetize GPUs externally (like a cloud provider), the analyst believes this could pivot quickly, similar to their sudden shift to "Year of Efficiency" in 2022.
  • Talent Retention: The stock price is existential for Meta because they need it to stay high to retain "10,000x engineers" via stock grants.

Takeaways

  • The "Pivot" Potential: Investors should be alert for any announcement regarding Meta offering API access or external GPU compute, which would represent a massive shift in their business model.
  • Ad Product Improvement: In the near term, the most certain ROI for Meta’s AI spend is the optimization of their existing advertising products.

NVIDIA (NVDA)

NVIDIA remains the backbone of the discussed "token path," with specific mentions of their upcoming hardware cycles.

  • Ruben Chips: The Ruben chip is described as a "drop-in replacement" that may be easier to bring online than the Blackwell architecture.
  • Edge Computing: There is a growing trend of moving GPUs to the "edge" (closer to the user) to reduce latency for voice and interactive AI models.

Takeaways

  • Hardware Dominance: NVIDIA continues to be the primary beneficiary of the "bottleneck trade," though the analyst warns that the "bottleneck bro" era (investing solely based on supply shortages) may be nearing its end.

Investment Themes & Sectors

The "Token Path"

A major theme of the podcast is that value will accrue to companies situated directly in the "token path"—those involved in the creation, distribution, or delivery of AI-generated data (tokens).

  • CDNs (Content Delivery Networks): Companies like Cloudflare (NET) and Akamai (AKAM) are positioning themselves here. Akamai recently signed a $1.8 billion deal with Anthropic.
  • Latency as a Premium: Users are willing to pay significantly more for speed. This benefits companies that can deliver low-latency tokens at the "edge."

Sovereign AI

The analyst predicts that most countries (outside the US and China) will not build frontier models from scratch.

  • The Strategy: Countries will likely take top-tier open-source models and perform "Reinforcement Learning" (RL) to bake in their specific language, culture, and values, running them in local data centers for national security.

The "Bottleneck Trade" vs. "Franchise Value"

  • The Shift: The market is moving away from simply finding the "next bottleneck" (like specialized materials or power).
  • New Focus: Investors should now look for companies with enduring franchise value that can thrive once the initial supply chain constraints of the AI boom are resolved.

Retail Investor Influence

  • Market Power: Retail investors are currently a more powerful force than during the 2000 Dot-com bubble.
  • Performance: The analyst notes that "retail favorites" indices are significantly outperforming many professional money managers in 2024 and 2025.

Risk Factors

  • Small-Cap Manipulation: The analyst warns of "shady stuff" in the public small-cap land, where anonymous social media accounts with large followings can pump $35 million market cap companies by 1,000% with a single post.
  • China's Lag: China is falling behind in AI because they are relying on "distillation" (copying) of US models rather than original frontier research, and they lack access to the highest-end chips (H200s/B30s).
  • Supply Dynamics: For newly public companies like SpaceX, the unwinding of complex "triple-layer SPVs" (Special Purpose Vehicles) could create unpredictable supply/demand pressure on the stock.
Ask about this postAnswers are grounded in this post's content.
Episode Description
This is our full conversation with Gavin Baker. We discuss the aftermath of the SpaceX IPO, why he believes SpaceX could become the most important company of all time, how AI infrastructure and "token factories" are reshaping capital markets, why sovereign AI strategies may struggle to compete with frontier labs, and what the future of data centers, orbital compute, and the AI endgame could look like. TBPN is made possible by: Ramp - https://ramp.com Public - https://public.com Cisco - https://www.cisco.com Console - https://www.console.com CrowdStrike - https://www.crowdstrike.com Figma - https://www.figma.com MongoDB - https://www.mongodb.com NYSE - https://www.nyse.com Railway - https://railway.com Shopify - https://www.shopify.com/ Codex - http://openAI.com/codex Sign up for TBPN’s daily newsletter at TBPN.com Follow TBPN: https://TBPN.com https://x.com/tbpn https://open.spotify.com/show/2L6WMqY3GUPCGBD0dX6p00?si=674252d53acf4231 https://podcasts.apple.com/us/podcast/technology-brothers/id1772360235 https://www.youtube.com/@TBPNLive
About TBPN
TBPN

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.