Nvidia: Jensen Huang's Company Is Still the King of AI, and the Stock Is a Buy

The investable point is not that NVDA remains a GPU leader; it is that the company is pulling more of the AI stack inside its own envelope, which should support share and margin even if unit growth normalizes. In the next 1-3 months, that matters more for relative performance than absolute earnings because the market is already assuming strong AI demand; the upside comes from attach-rate expansion into CPU, networking, and inference economics, not from another simple GPU upgrade cycle.

Second-order, this is mildly negative for standalone hardware vendors whose value proposition is exposed by system integration. ARM likely benefits from broader ARM-server adoption, but NVDA’s own ARM CPU push means some of that ecosystem growth is being monetized at the platform level instead of via third-party royalty streams; similarly, networking and accelerator adjacencies can face margin pressure if Nvidia internalizes more of the bill of materials. The implication is that the best risk-adjusted longs are the platform owner and select enablers, not the pure-play component names.

The contrarian risk is that the market may be underestimating how much execution is already embedded in the stock. A FY28 multiple can look cheap only if inference monetization arrives cleanly and hyperscaler capex stays elevated; if customer buildouts pause for even one or two quarters, the multiple can compress faster than fundamentals can reaccelerate. The thesis is falsified if datacenter growth or gross margin commentary slows materially on the next earnings cycle, or if AI capex guidance from the largest buyers rolls over.