🤖 #AIStocksWhatNext — The Real Question Isn't "AI or not," It's "Which Layer?"
Nvidia's numbers are the headline — but the more useful trade is asking what breaks first if AI capex keeps compounding. UBS estimates global AI infrastructure spend could hit ~$900B in 2026 and $1.2T in 2027. That money doesn't just buy chips. It buys power, cooling, networking, and storage — and those layers are getting less crowded than the GPU trade.
Two things worth watching more than the price chart:
1️⃣ Energy is the real bottleneck. Chip supply can scale faster than grid capacity. Power and cooling infrastructure may lag the AI story, not lead it — which is where mispricing tends to happen.
2️⃣ Bond yields matter more than sentiment. Rising oil prices + a 10-year yield creeping toward 5% can pressure high-growth valuations regardless of how strong AI demand is. Watch macro, not just earnings.
My take: Long-term bullish on the AI infrastructure buildout — but the next edge isn't in chasing the names everyone already owns. It's in the picks-and-shovels layer nobody's crowded into yet.
👇 Which layer are you betting on — chips, power, or software?
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