15 stocks Anchoring the AI Infrastructure Buildout: $MU — Micron's HBM ramp has been one of the clearest beneficiaries of the AI memory supercycle alongside SNDK, and pricing power across DRAM and NAND has held up far better than prior cycles suggested it would. $NVDA — Still the anchor of the entire buildout. Every other name on this list exists in some relationship to Nvidia's roadmap, whether as a supplier, a customer, or a competitor trying to chip away at share. No large-cap AI thesis is complete without acknowledging where the center of gravity still sits. $AMD — Two separate catalysts stacking here. Helios and the next-gen CPU lineup represent a real inflection point on their own. But the more interesting development is AMD effectively borrowing Nvidia's NeoCloud flywheel playbook — helping partners raise capital that gets recycled into buying AMD GPUs. $COHR — Coherent's optics and photonics exposure puts it right in the middle of the bandwidth bottleneck story — as data center interconnect speeds keep climbing, this is one of the picks-and-shovels names benefiting from every upgrade cycle. $AMZN — The Trainium ramp is hitting its stride right now. Custom silicon is becoming a bigger piece of Amazon’s AI infrastructure story, reducing reliance on third-party GPUs while giving AWS more control over cost and supply — a dynamic that should keep showing up in margin trends. $JBL — The story here is the 1.6T LRO optical transceiver ramp. What's underappreciated is the margin profile — as these ramps mature and volumes scale, blended margins tend to surprise to the upside relative to what the Street models in. $SNDK — The recent investor conference did real work reinforcing the bull case: this isn't a cyclical memory blip, it's durable, higher-margin revenue that should hold up over the next several years. Memory has been one of the more volatile corners of the thesis, so a credible durability argument matters. $RDDT — Now sitting in the S&P 500, and honestly this one has just quietly compounded, quarter after quarter, without much drama. Index inclusion tends to bring a fresh wave of forced buying and attention — this name has earned it on fundamentals first. $TSM — Still the center of gravity for the entire AI buildout. Every layer of this thesis — GPUs, custom silicon, networking chips — ultimately routes through TSMC's fabs. As close to a toll-booth position on the whole AI capex cycle as exists. $AMKR — Backstopped growth via Nvidia and TSMC contracts gives this one a floor most packaging/assembly names don't have. Advanced packaging is a bottleneck layer in this whole buildout, and Amkor's contract visibility reflects that. $SMCI — The ~$70B revenue ramp targeted for 2027 is a genuinely staggering number for a server integrator. If that materializes anywhere close to plan, the scale of the AI server buildout embedded in that estimate says a lot about where hyperscaler and enterprise capex is headed. $SKHY — SK Hynix has been the clearest HBM leader through this memory cycle, posting record profits on the back of that positioning, and still seems underdiscussed relative to how central it is to the AI memory stack. $GFS — strategic domestic semiconductor capacity is clearly a policy priority now. On top of that, I think CPO exposure gives GlobalFoundries another leg of revenue acceleration going forward. $AVGO — Broadcom sits at the center of the custom ASIC and networking layer, designing the XPUs that hyperscalers use to reduce Nvidia dependence while also owning critical switching/networking silicon. $CEG — Constellation Energy is one of the cleanest ways to play the power-for-AI-datacenters theme. Nuclear capacity is increasingly the preferred baseload source hyperscalers are contracting for directly, and Constellation's fleet gives it real leverage in those negotiations. Not financial advice.