𝗧𝗵𝗲 𝗔𝗜 𝗔𝗿𝗺𝘀 𝗥𝗮𝗰𝗲 𝗝𝘂𝘀𝘁 𝗠𝗼𝘃𝗲𝗱 𝗙𝗿𝗼𝗺 𝗚𝗣𝗨𝘀 𝘁𝗼 𝗠𝗲𝗺𝗼𝗿𝘆. Everyone was watching $NVDA. But the market just reminded traders that AI does not run on GPUs alone. It runs on memory. $MU surged after UBS raised its target to a Street-high $1,625, pushing Micron into the $1T club for the first time. That is not a normal upgrade. That is a full AI supply-chain repricing. Why? Because HBM is becoming one of the biggest bottlenecks in the AI economy. Models need GPUs. GPUs need memory. Data centers need bandwidth. Cloud giants need guaranteed supply. And when supply gets locked into long-term contracts, pricing power shifts to the memory makers. That is why $MU matters now. It is no longer just an old cyclical chip stock. It is becoming a direct AI infrastructure trade. This also affects the whole stack: $NVDA remains the GPU king. $AMD is the challenger. $TSM is the manufacturing backbone. $ARM is the architecture layer. $MRVL and $AVGO connect to data-center networking. $AAOI sits inside optical bandwidth. $CRWD and $PLTR benefit from enterprise AI adoption. Crypto has its own version of this trade too: $TAO , $RENDER , $FET , $IO and $NEAR all sit inside the AI / compute narrative. My read: The AI rally is broadening. It is no longer only about who builds the best chip. It is about who controls the scarce infrastructure around the chip. Memory is becoming strategic. And $MU just became one of the loudest signals that the AI trade still has new layers left to price. #MicronAIArmsRace