Superintelligence Luncheon Basket
Richard@rich
−3.8%
since Oct 1
The idea
I believe the companies whose leaders sat at that White House superintelligence luncheon are the ones best positioned as AI policy leans toward industry self-regulation, so I built a basket of all 13 public names in the room, split across chipmakers, platform giants, AI-heavy software firms, and Musk's two companies. No single name gets an oversized bet, and I keep a small cash buffer. I'd rethink this if policy shifted toward heavier regulation or if the room's influence over that direction faded.
What it owns
- These cloud and consumer platforms host most AI workloads and fund the private labs building the largest models, making them central to AI spending flows. · Microsoft CorporationIt is the closest public way to own OpenAI's AI buildout through partnership, while also providing the cloud infrastructure these systems run on., Alphabet Inc.It runs large AI models and the cloud infrastructure where they operate, making it both a builder of AI and a platform for others' systems., Amazon.com Inc.It runs the largest cloud platform for AI workloads and backs Anthropic, one of the leading private AI labs, making it central to the AI buildout., Meta Platforms Inc.It spends heavily on AI infrastructure and is betting that AI will improve its advertising business, the core of its revenue model.32%
- These companies make the processors and memory that every AI system runs on, so their growth tracks with global AI infrastructure spending. · NVIDIA CorporationIt makes the chips that power nearly every AI system built by the other major companies in this take, so AI spending growth drives its revenue., Broadcom Inc.It builds custom AI chips and networking equipment that the largest cloud platforms order in bulk to support their AI infrastructure., Advanced Micro DevicesIt is the main alternative to the market leader for AI processor chips, so it gains share when data center customers diversify their suppliers., Micron TechnologyIt makes the high-bandwidth memory that AI chips require in large quantities, so its sales track with how fast AI infrastructure expands.31%
- These companies sell AI-driven software to governments and enterprises, the buyers most affected by shifts in AI policy and regulation. · Palantir TechnologiesIt sells AI software directly to governments, making it the most direct public play on government spending in AI systems and applications., Palo Alto NetworksIt sells security software for AI systems, and its growth depends on security becoming a larger budget line as AI deployment spreads across enterprises., ServiceNow Inc.It is building its software business around AI agents that automate work for large customers, so growth depends on adoption of its AI products.19%
- Both companies are tied to one investor's influence on policy and government contracting, creating concentrated exposure to regulatory and political shifts. · Space Exploration Technologies Corp.It recently began trading publicly and depends on government contracts for launch services and satellite internet, creating higher price volatility than established peers., Tesla Inc.It is developing autonomy and robotics using AI, so its long-term growth depends on clearing regulatory hurdles for self-driving and physical automation.13%
- Cash5%