fxyz
Power Before Chips
AI infrastructure will be bottlenecked by energy supply long before semiconductor shortages become the binding constraint.
Result
If held over the last 3 months (Jul 12, 2026 – Oct 11, 2026): +3.9%. Over the same days: S&P 500 +3.2%, BTC +30.1%.
What it holds
- Energy Feedstock, 30% of the money, +22.4% over 3 months: NATGAS, BRENTOIL, CL. Natural gas and oil are the marginal power sources that data centers will compete hardest for.
- Power Infrastructure Equity, 25% of the money, −8.9% over 3 months: IREN, RKLB, BE. Companies building or enabling grid-scale power for AI campuses are direct beneficiaries of the energy bottleneck.
- Chip Overcapacity Short, 20% of the money, −7.6% over 3 months: against NVDA, against SOXL, against AMD. GPU and advanced semiconductor makers face utilization risk if power constraints leave new chip capacity stranded.
- Decentralized Compute Hedge, 10% of the money, +18.8% over 3 months: RENDER, IO, FET. Crypto-native compute networks that distribute workloads to available power pockets could route around centralized bottlenecks.
- Cash, 15%.
The plan behind it
If power is the true constraint on AI scaling, energy infrastructure players and commodities win while chip-pure plays face stranded capacity risk. Natural gas and oil names benefit as the fastest-dispatchable power source for data centers. Uranium/power-adjacent infrastructure names gain as hyperscalers scramble for electrons. Chip-heavy semis face a ceiling if their GPUs sit idle waiting for power buildout, justifying a tactical short. Cash is held as a cushion given macro uncertainty around energy policy.
What would prove it wrong: New grid capacity announcements or SMR deployment timelines accelerate such that hyperscalers publicly confirm power is no longer the binding constraint on expansion.
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.