AI's scarce parts get rich, software pays

Result

If held over the last 3 months (Jul 24, 2026 – Oct 23, 2026): −22.9%. Over the same days: Chip stocks −10.7%, S&P 500 +3.4%.

What it holds

• Memory and storage crunch, 33% of the money, −32.2% over 3 months: MU (Micron), SKHY (SK Hynix), SNDK (Sandisk), WDC (Western Digital), KIOXIA (Kioxia). AI needs far more memory and storage than the world can make right now, so prices and profits jump.
• Fast data links, 19% of the money, −24.2% over 3 months: LITE (Lumentum), COHR (Coherent), CIEN (Ciena), CRDO (Credo). Once chips are bought, data centers need faster light-based cables and parts to connect them.
• Power for data centers, 14% of the money, −11.0% over 3 months: GEV (GE Vernova), VST (Vistra), BE (Bloom Energy). AI data centers eat huge amounts of electricity, and power may become the next shortage.
• Chip makers and their tools, 19% of the money, −18.9% over 3 months: TSM (TSMC), ASML, LRCX (Lam Research), AMAT (Applied Materials). Everything above needs more chips, and the companies that make chips and the machines for them win on all of it.
• Software gets squeezed, 10% of the money, −29.9% over 3 months: against IGV (Software ETF), against NOW (ServiceNow). If AI can do more of the work, some software makers lose customers and pricing power.
• Cash, 5%.

The plan behind it

Big AI companies are spending huge sums on data centers, and the parts that run short get the biggest price jumps. Memory and storage are tight now, and light-based data links and electricity look like the next tight spots. Chip makers and the machines that build chips sell to all of them. A small short on software is the other side of the bet, since AI could make many software tools cheaper or less needed. If AI spending keeps growing, the longs should beat the short by a wide margin.

What would prove it wrong: Big cloud companies cut their AI spending plans, or memory prices start falling while software stocks keep rising.

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.