Nvidia's Vertical Ambitions Face Their First Real Test: A Market That Refuses to Be Impressed

Nvidia's AGI claim met with market skepticism, but its $12.93B Hugging Face deal and full-stack AI push signal a strategic shift beyond chips.

Jensen Huang declared artificial general intelligence achieved, and Wall Street shrugged. That disconnect — between a CEO's grand pronouncements and a stock market's muted response — has become the defining tension of Nvidia's current chapter. But look past the headline theatrics, and a more consequential story is unfolding: the chipmaker is no longer content to sell the engines of the AI boom. It wants to own the entire machine.

The Hardware Push That Quietly Matters

While much of the recent attention has centered on Nvidia's $12.93 billion acquisition of Hugging Face — a deal confirmed last Thursday that initially knocked 0.7% off the share price — the more significant development landed this Wednesday. Reports indicate that Nvidia's Groq-3-LPX rack has entered full series production, with deliveries slated for later this year alongside Vera CPUs and Rubin GPUs to customer Nebius.

That detail could easily get lost in the noise. It shouldn't. It signals something fundamental about how Nvidia intends to cement its dominance: not just through silicon, but through the entire stack that sits above it.

From Component Supplier to System Architect

The Hugging Face deal, viewed in isolation, might look like a straightforward acquisition of a popular developer platform with over 18 million users and more than three million models. But place it alongside the deepening MediaTek partnership announced last Tuesday, Jensen Huang's appearances at IFA alongside Microsoft, and the Groq production ramp, and a pattern emerges.

Nvidia is systematically occupying every layer of the AI value chain — from the raw chips to the racks that house them to the developer platforms where models are actually born. This vertical integration isn't accidental. It follows directly from the thesis Huang articulated earlier this week: the AI investment boom is far from over.

To back that claim with more than rhetoric, Nvidia has mobilized more than $500 billion in third-party capital for AI infrastructure, partnering with the likes of Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR. The company itself is on the hook for up to $125 billion of that as a backstop. Huang's framing of chips as an "investable asset" might sound like marketing speak, but it reflects a company that now helps shape the financing architecture of the entire AI buildout — with all the concentration risks that entails.

The Numbers Tell a Different Story Than the Stock

The operational facts are difficult to argue with. In the second quarter of fiscal 2027, Nvidia generated $96.2 billion in revenue — up 106% year over year and 18% sequentially. The data center business alone contributed $89 billion, with margins at 75%. For the third quarter, the company has guided to approximately $108 billion, plus or minus 2%.

Perhaps most striking: the CFO projects roughly 70% growth for fiscal 2028 — well above the analyst consensus of around 45%. When management's own forecast exceeds what the Street is modeling, that's rarely a warning sign.

The demand picture reinforces the point. CoreWeave CEO Michael Intrator noted at the Goldman conference that every single available GPU could be sold to multiple customers simultaneously. Broadcom and Micron are similarly citing supply constraints, not weakening order books, as the basis for their growth projections. This isn't demand destruction — it's a supply problem.

Why the Market Remains Cautious

Despite these numbers, the share price tells a more tempered story. The stock currently trades at €192.60, roughly 4.9% below its 52-week high of €202.50 reached in May. That puts it comfortably above the 200-day moving average of €169.97 — a picture that looks more like healthy consolidation than a trend reversal.

The stock is still up about 20% since the start of the year, suggesting the market broadly supports the expansion strategy even if individual headlines cause short-term jitters. Nvidia lost around 2% on Tuesday following Huang's AGI declaration, while rivals like CoreWeave and SoftBank gained — a reaction that some read as profit-taking after a rally rather than a fundamental verdict.

Cantor Fitzgerald has gone so far as to call Nvidia the "cheapest" among compute names based on 2028 earnings estimates, with a price target of $350. Needham analysts view the Hugging Face acquisition as a strategic gain that gives Nvidia deeper access to the AI model developer ecosystem.

The Risks That Won't Go Away

None of this means the path is smooth. Three direct customers alone account for 16%, 15% and 13% of revenue respectively — a concentration that investors ignore at their peril. Nvidia has also tightened customer vetting in Asia, reducing the number of authorized buyers by more than half, as it navigates between geopolitical pressure and growth appetite.

The question isn't whether any single acquisition justifies the current valuation. It's whether Nvidia's combination of hardware, capital and software can genuinely build the operating system for the coming AI era — and whether a market that has heard grand promises before will keep paying for them. Huang's appearance at Goldman Sachs on Thursday may offer some clarity on whether management can address these concerns, or simply continue delivering numbers that speak for themselves.