fxyz
Distribution Wins
AI will commoditize software development, making distribution platforms and AI infrastructure the true value capture layer.
Result
If held over the last 3 months (Jul 14, 2026 – Oct 13, 2026): +7.9%. Over the same days: S&P 500 +4.0%, BTC +33.3%.
What it holds
- AI Compute Enablers, 35% of the money, −0.5% over 3 months: NVDA, AVGO, AMAT. AI replacing developers runs on GPU infrastructure — semiconductor leaders capture the foundational spend.
- Distribution Moat Giants, 30% of the money, +7.2% over 3 months: META, AMZN, GOOGL. Platforms with locked-in user distribution can deploy AI tools directly, bypassing traditional software vendors.
- Decentralized AI Networks, 15% of the money, +42.3% over 3 months: TAO, RENDER, FET. Open AI compute and agent networks are the crypto-native expression of AI replacing centralized developer labor.
- Legacy Software Shorts, 5% of the money, +8.3% over 3 months: against ORCL, against IBM. Traditional software companies selling developer tooling and enterprise licenses face margin collapse as AI automates their value proposition.
- Cash, 15%.
The plan behind it
Traditional software vendors lose pricing power as AI automates coding, so we short pure software plays. The winners are AI compute providers enabling the replacement of developers, mega-platforms with massive distribution moats that can deploy AI directly to billions of users, and decentralized AI/compute networks capturing the open-source AI wave. Cash provides a buffer given the disruptive uncertainty in timing.
What would prove it wrong: AI coding tools stall in enterprise adoption, developer headcount stops falling, or a major platform like Meta or Google fails to monetize AI distribution at scale within 18 months.
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.