fxyz
Chips Get Paid
AI-generated video will flood the internet with content nobody asked for, but the semiconductor companies supplying the compute will profit regardless of whether the content has value.
Result
If held over the last 3 months (Jul 11, 2026 – Oct 10, 2026): +2.5%. Over the same days: S&P 500 +2.8%, BTC +28.2%.
What it holds
- GPU & Foundry Core, 38% of the money, +6.0% over 3 months: NVDA, TSM, AVGO. Nvidia designs the GPUs that train and run video models; TSMC manufactures nearly all of them — both get paid per wafer and per chip regardless of content qual…
- Memory & Bandwidth, 17% of the money, +0.6% over 3 months: MU, DRAM. AI video generation requires massive memory bandwidth — HBM and DRAM suppliers see demand spike as model sizes and batch volumes grow.
- Semi Leverage & Equipment, 17% of the money, −4.1% over 3 months: SOXL, AMAT, ARM. Leveraged semiconductor ETFs and equipment makers amplify the upcycle as fabs expand capacity to meet AI video compute demand.
- Platform Distribution Tax, 13% of the money, +3.3% over 3 months: META, GOOGL. The platforms that host, recommend and monetize AI video at scale take a cut of every view — Meta and Alphabet collect whether the content is good or garbage.
- Cash, 15%.
The plan behind it
The core argument is that AI video generation is compute-intensive and indiscriminate demand for GPU/memory capacity is already locked in. Nvidia and TSMC manufacture the picks and shovels; AMD and SOXL (leveraged semis) amplify the bet. A small position in AI-adjacent cloud/platform players captures software-layer revenue from video hosting and model serving. Cash is held as a cushion given semiconductor cyclicality.
What would prove it wrong: Nvidia reports a meaningful sequential decline in data-center revenue or guidance, signaling that AI video compute demand has peaked or shifted away from GPU-heavy architectures.
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.