I'm watching $Broadcom(AVGO)$ and $NVIDIA(NVDA)$ here as both appear to have completed a clean pullback into prior demand zones. The tape feels less like distribution and more like rotation back into core AI leaders. The timing stands out… price stabilization is happening right after visible dip absorption, and there's been talk of longer-dated positioning (2028 LEAPs) stepping in during the weakness last week. I'm not saying this is a straight-line move, but structurally, this is often how leadership resets before the next expansion leg in a strong cycle: shakeout, reclaim, then continuation. If AI semis remain the dominant macro theme, these are the names that typically lead on both momentum
A simple growth basket, no noise, just concentrated AI leadership – but the market still seems to care more about positioning than simplicity. This is essentially a “four-stock mega-cap compounding core”: $NVIDIA(NVDA)$ - ~$6K | AI compute backbone, demand still structurally above supply $Microsoft(MSFT)$ - ~$4K | cloud + enterprise AI monetization + sticky cash flows $Alphabet(GOOG)$ - ~$3K | search + cloud + TPU stack quietly compounding $Advanced Micro Devices(AMD)$ - ~$3K | AI secondary compute beneficiary with upside if share gains continue This approach works for one reason: you’re not bettin
$NVIDIA(NVDA)$ Memory content per GPU cycle isn't slowing down. H100 is around 80GB, Rubin around 288GB, Rubin Ultra around 1000GB. That's a massive step function in memory intensity. If this trend continues, suppliers like $Micron Technology(MU)$ , HYNIX, SMSD aren't in a "cycle"... they're in a structural demand shift tied to AI compute scaling. The market is still debating whether this is cyclical or structural - but the numbers don't really look "cyclical" anymore. Curious how others are modeling this.
$NVIDIA(NVDA)$ This is no longer just an AI story. It's becoming the infrastructure layer behind the next generation of computing. Every major trend—AI models, autonomous systems, robotics, cloud computing, and data centers—requires more computing power. The question isn't whether AI adoption continues. The question is how much compute demand will grow over the next decade. Markets focus on quarterly results. Long-term investors focus on structural trends. Watching closely.
$Advanced Micro Devices(AMD)$ The market is still heavily underestimating AMD. This is essentially a "one-of-a-kind" company with almost no real competition in its core dominant sectors. As the macro demand for AI and server compute continues to scale, AMD remains firmly on track toward a massive $5T market cap long-term. Its structural moat is unmatched.
$Penguin Solutions, Inc.(PENG)$ (Penguin Solutions) has been named an invitation-only NVIDIA AI Factory Specialized Partner. This official validation adds strong credibility to its full-stack AI infrastructure capabilities and positions the company to capture expanding enterprise demand for training, inference, and agentic AI workloads.
Infrastructure has been the leading theme, and I don't see any reason for that to have changed. If anything, it's only accelerated. Chips: $NVIDIA(NVDA)$ $Broadcom(AVGO)$ $Advanced Micro Devices(AMD)$ $ASML Holding NV(ASML)$ AI infrastructure has been the market's leading theme for years, and the trend appears to be accelerating, if anything. NVDA remains the leader in AI compute, AMD continues to gain share, AVGO benefits from the exploding demand for AI networking and custom silicon, while ASML controls a critical manufacturing bottleneck. As AI expands from training to inference and from cloud t