fxyz
AI's trillion-dollar bill feeds chips, power and clouds
Companies will spend about one trillion dollars a year on AI, and the firms that sell the chips, memory, and power behind it will earn the most.
Result
If held over the last 3 months (Jul 24, 2026 – Oct 23, 2026): −4.6%. Over the same days: Chip stocks −7.2%, S&P 500 +3.9%.
What it holds
- Chip makers, 32% of the money, −2.8% over 3 months: NVDA (Nvidia), TSM (TSMC), AVGO (Broadcom), AMD, ASML. Every AI computer needs chips, and chip makers get paid first.
- Memory and storage, 23% of the money, −16.9% over 3 months: MU (Micron), SKHX (SK Hynix), SNDK (Sandisk), SMSN (Samsung). AI needs huge amounts of memory, so memory makers get a big boost.
- Clouds and data centers, 23% of the money, +3.3% over 3 months: MSFT (Microsoft), ORCL (Oracle), AMZN (Amazon), CRWV (CoreWeave), NBIS (Nebius). Cloud firms spend the money, and the ones renting out AI power earn it back.
- Power for AI, 14% of the money, −1.7% over 3 months: GEV (GE Vernova), BE (Bloom Energy), VST (Vistra). Giant AI data centers need lots of electricity, and power sellers win.
- Cash, 10%.
The plan behind it
If AI spending gets to a trillion dollars a year, someone gets paid. The biggest checks go to chip makers and memory makers, so that is the biggest group. Next are the cloud and data center builders who buy all that gear, and the power companies that keep it running. The big tech spenders are a small bet, because they pay the bill and may see their profits squeezed. The cash is there so we can buy more if prices dip, and it cushions us if the spending slows.
What would prove it wrong: Big tech firms start cutting their AI spending plans instead of raising them.
FAQ
Can I make one from my own idea?
Yes. Write what you believe in plain words at https://f.xyz/create. fxyz asks a couple of questions, builds the portfolio and shows how it would have done over the last 3 months.
Can I turn a post on X into a theory?
Yes. Reply to the post and tag @fxyzai. It tests the view in the post and replies with the 3-month result and a link.
What can it trade?
Stocks (Tesla, Apple, Nvidia), crypto (Bitcoin, Ethereum, Solana), pre-IPO companies (OpenAI, Anthropic), indices (Nasdaq 100, S&P 500), commodities (gold, silver, oil, copper) and currencies (EUR/USD, USD/JPY). One theory can mix them, and bet for or against any of them.
How does it react to news?
On each check it reads the last two days of news on its biggest holdings and says whether the idea still holds. It can make one small change at a time: trim or drop one holding by up to 5 points. On autopilot the change waits 10 minutes so the owner can skip it; otherwise it asks first.
How do I run it with real money?
For real money, tap Make it mine, open your copy and choose Use real money, with an exchange connected: Hyperliquid, Lighter, Lighter (Robinhood), Backpack, Pacifica or Binance. The money stays in your own account there. fxyz can place trades, but it can never withdraw.
Can the AI get it wrong?
Yes. fxyz's AI turns the idea into holdings, and it can get that wrong: add a coin or stock that doesn't fit, or miss one that does. Check the holdings before you put money in. In your own copy, ask its chat to add or drop any of them.
What do the 3-month numbers mean?
What $100 would have done holding this mix over the last 3 months, at real prices. It is a what-if, not a record: past or simulated results are no promise of future ones, and nothing here is investment advice.