re: Is Google the most undervalued and disrespected company in the stock market today?

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This is why the antitrust stuff is silly. They buy/develop companies to avoid becoming obsolete. The government expects them to stay static and die. Plus, Google has Gemini which is no slouch in the AI world and some of the biggest content libraries to train AI. Youtube alone can make them billions annual from just licensing, if they want to share. I'm not arguing they're infallible or can't fall, but they're set up the best due to their heavy cross-platform investment and success. They're closer to the "all in one" solution that Elon is so obsessed over than Elon is

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quote:

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The video features a discussion among four individuals—Thomas, Chamath, Jason, and Friedberg—about which companies are best positioned to achieve super intelligence or AGI (Artificial General Intelligence) within the next five years, essentially "winning the AI race" [00:04]. They each offer their top two picks and elaborate on their reasoning.

Here's a summary of each person's perspective:

Thomas's Picks:

Nvidia (Number 1): He believes Nvidia will remain dominant due to the continued reliance on GPUs for AI models, stating that "all roads still lead to the GPU" [00:28].

Tesla (Number 2 - Dark Horse): Thomas sees Tesla as having the most potential for vertical integration, from silicon to models and hardware, which could be crucial for applications beyond cars, like Optimus robots [00:40].

Chamath's Picks:

Tesla (Number 1): He argues Tesla has the closest thing to a vertically integrated stack, with strong vision models, upcoming LLMs with XAI, and the ability to integrate these with Dojo and physical AI like robots and robo-taxis [01:07].

Google (Number 2): Chamath highlights Google's Gemini family of models (including VO3, which he believes will "destroy Hollywood") [01:43], their TPUs, and their extensive user base across products like YouTube, Gmail, and Workspace, which allows them to pivot from a "price per click" to a "price per token" economic model [02:42].

Jason's Picks (Elon/Google):

Elon (Tesla/XAI) (Number 1): Jason believes Elon Musk is a "magnet for talent" [03:23] and points to the unique position of Colossus (XAI) and Tesla. He suggests that if Tesla (with its hardware, software, and FSD/Optimus applications) and XAI (with its real-time data from X/Twitter) were to merge, it would create an unstoppable force [04:11].

Google (Number 2): Jason agrees with the potential of Google's ad network to perform significantly better due to their vast data collection from user interactions across various Google products, even if search share declines [05:02].

Friedberg's Picks:

Tesla (Best Investment for New Industry): He sees Tesla as the best investment for a "massive new industry" [05:57] primarily due to the "mind-blowingly ginormous" humanoid robot opportunity, despite the premium valuation [06:05].

Nvidia (Most Protected, but with China Risk): Friedberg acknowledges Nvidia's durable business and strong moat [06:36] but points out a "low probability but very high severity risk to Nvidia in China" [06:42]. He cites China's advancements in semiconductor manufacturing and increasing investment in creating alternatives to US chip technology [06:48].

Google (Portfolio Solution/Overall Pick): Friedberg views Google as a diversified portfolio of "high beta bets" [08:42], including Waymo, quantum computing, and biologics work. He believes any one of these could result in a "trillion-dollar market cap outcome" [08:49] and credits Sundar Pichai for thoughtfully evolving the search product [09:21].

Revised Consensus (Ignoring Valuation for the "AI Prize"):

When pressed to clarify his top two solely based on "winning the AI prize" without considering valuation, Friedberg ultimately places Google as Number 1 and Tesla as Number 2 [10:16]. He emphasizes Google's depth of talent, comprehensive understanding of model development beyond LLMs (citing weather forecasting as an example) [10:55], and the potential for multi-model and agentic architectures to drive innovation across their product ecosystem [11:12].

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