A Confused Narrative Following the Price Action
There is no artificial intelligence without Nvidia. Yet right now, much of the market seems confused, with the prevailing narrative chasing the price action rather than the fundamentals. Nvidia's share price has been stuck in the mud for roughly six months, and that stagnation has clouded an otherwise extraordinary picture. The company's execution over the past several years has been nothing short of flawless, and there is every reason to believe that level of operational excellence will continue over the next couple of years.
The core issue is one of attention. In the AI buildout, the bottleneck keeps moving — and as it shifts, investor focus shifts with it. Each new constraint becomes the story of the moment, drawing eyes away from the company that remains, indisputably, the king of the entire ecosystem.
The Big Four Still Stand
Zoom out and the structural picture has not changed. The big four enablers of the AI revolution — Broadcom, TSMC, Nvidia, and ASML — are still as strong as they were two or three years ago. Nothing about the underlying competitive dynamics has fundamentally shifted. What has changed is investor patience. The market's attention span has compressed to the point where capital is constantly hunting for "the next bottleneck," rather than recognizing the durable position of the companies that sit at every layer of the stack.
Pricing Power That Is Drastically Under-Discussed
When you take a step back, Nvidia is currently trading at a market multiple that is, frankly, egregious. It should never be trading anywhere close to where the S&P 500 is trading, because the pricing power Nvidia commands is genuinely under-discovered and under-talked-about. This is not a company that should be valued like the broad index — it is a company with structural leverage over an entire technological era.
The reason the pricing power is so durable comes down to a simple observation about the trajectory of AI itself. Every stage of AI — every graduation from one paradigm to the next — flows through Nvidia. From generative AI to agentic AI, from agentic AI to physical AI, and eventually onward to orbital compute, Nvidia will be the king at each stage. The platform doesn't get displaced when the workload evolves; it gets reinforced.
From an Accelerator Race to a Systems Race
The competitive landscape itself has also evolved in Nvidia's favor. We are no longer in an AI accelerator race — a contest that could theoretically be won at the chip level by a single competitor producing a faster piece of silicon. We are now in a systems race, where the integration of compute, networking, software, and inference infrastructure determines the winner. This shift fundamentally benefits Nvidia, whose strength has always been in delivering an entire stack rather than a single component.
The recent Groq acquisition is a clear signal of where this is going. It demonstrates that Nvidia intends to own the inference era just as decisively as it has owned the training era. Inference, which will ultimately dwarf training in total compute consumption, was the one place where skeptics could plausibly argue Nvidia might lose share. That argument is rapidly weakening.
Don't Doubt Jensen
It would be a mistake to bet against Jensen Huang at this juncture. The pattern is clear: when a bottleneck appears, attention drifts; when the bottleneck re-rates, attention reverts to Nvidia. That cycle is poised to repeat. Given the breadth of Nvidia's positioning across every stage of AI, the depth of its pricing power, and its expanding grip on the inference layer, it is entirely reasonable to expect Nvidia to become the first $10 trillion company before this cycle is over.
The narrative will catch up to reality. It usually does.