Cramer doubles down on Nvidia, calls selloff mispricing

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Cramer doubles down on Nvidia

Wall Street remains optimistic, citing ecosystem strength and demand visibility

Cramer’s stance aligns with a broader positive view among analysts. RBC Capital and Wolfe Research have reiterated Outperform ratings, citing NVIDIA’s ecosystem lock-in, persistent AI-driven demand, and a strong order backlog as reasons for continued confidence. The logic is straightforward: NVIDIA isn’t just selling chips, it’s selling an entire stack — hardware, software, developer tooling, and platform integration — that is difficult for customers to replicate or switch away from. That ecosystem advantage becomes more valuable as enterprises scale AI adoption beyond experimentation into production.

Analysts also appear to be leaning on visibility in demand, particularly as data centers build out capacity to handle AI workloads at a pace that traditional infrastructure can’t match. Even with the stock cooling off, the “business reality” described by these firms suggests that NVIDIA’s position in the AI supply chain remains structurally strong. For bulls, the recent dip is less about weakening fundamentals and more about valuation digestion after a historic run.

AI narrative widens beyond chips, but Nvidia remains the market’s compute proxy

Cramer also referenced a fireside chat involving Jensen Huang and Eli Lilly’s CEO, where the discussion touched on AI’s future role in healthcare and even lifespan extension — another example of how AI’s impact is expanding beyond tech into real-world industries. That matters because the larger the AI opportunity becomes, the more foundational compute demand could remain. NVIDIA, in that framing, continues to function as the market’s default “compute proxy,” even if investors periodically rotate into cheaper or more speculative AI names.

Still, the article’s conclusion introduces an important counterpoint: some investors believe other AI stocks may offer better risk-reward in the short term, especially if they’re cheaper and positioned to benefit from macro shifts like tariffs and U.S. onshoring. The bottom line is that NVIDIA remains a high-conviction AI infrastructure play for many, but price action and valuation expectations now require more patience. Whether the next leg higher comes quickly or later may depend less on hype — and more on how fast enterprise AI spending converts into sustained revenue growth.

Recently we wrote that Nvidia reported third-quarter revenue near $57 billion, reflecting strong demand for its data center products. Fiscal 2026 projections highlight further expansion, with expectations of significant growth in revenue.

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