AI Infrastructure Is Splitting Into Chips, Power and Decentralized Compute. The market is finally realizing something important: AI is not one trade. It is a supply chain. For months, everyone treated AI like one simple narrative. Buy the model. Buy the chip. Buy the hype. But the real AI economy is much bigger than that. It has three layers: Chips. Power. Compute. The chip layer is where the market still looks first. $NVDA remains the heartbeat of AI hardware. $AMD is the challenger. $ARM is the architecture trade. $TSM is the manufacturing backbone. $MU matters because AI needs memory, not just GPUs. $AVGO and $MRVL matter because data centers need networking infrastructure. But chips alone are not enough. AI also needs electricity. That is where the power layer becomes interesting. $GEV sits inside the grid and power infrastructure story. $URNM connects to the nuclear and uranium thesis. $XCU matters because copper is critical for electrification, transmission and data-center expansion. $NG matters because natural gas can become the bridge fuel when grids need flexible power fast. Then comes the crypto layer: decentralized compute. $TAO represents decentralized intelligence. $RENDER represents GPU compute demand. $FET represents AI agents. $IO represents decentralize #TradeAIStocksOnOKX