Nvidia’s stock has been whipsawed by headlines about China export controls and the rapid rise of custom AI accelerators like Google’s TPUs, yet one of Wall Street’s most influential chip analysts is refusing to back away from a bullish call. The core argument is simple: even with geopolitical risk and intensifying competition, Nvidia’s technology lead and demand pipeline still look strong enough to justify staying aggressively positive on the shares. I see that stance reflected across recent research, from price target hikes to upbeat commentary on new products and China-specific workarounds.
Behind the noise, the debate now is less about whether Nvidia can sell AI chips and more about how long it can keep outpacing rivals and absorbing shocks from markets like China. The latest analyst notes suggest that, for now, the balance of evidence still tilts toward sustained outperformance rather than a sharp slowdown, even as investors fixate on regulatory risk and the threat of hyperscalers building their own silicon.
Why one top-rated analyst is holding the line
When a top-rated semiconductor analyst refuses to trim a bullish rating after a stock has already run hard, it usually signals conviction about the durability of the underlying story. In Nvidia’s case, that conviction is anchored in the view that the company’s AI franchise is not a short-lived cycle but a multi-year infrastructure buildout, with hyperscalers, enterprises and sovereign buyers still in the early stages of deployment. I read the unwavering stance as a bet that near-term volatility around China and custom chips will not derail that structural demand.
That is exactly the tone coming from research houses that continue to highlight On Thursday, Rosenblatt Securities analyst Hans Mosesmann raised the price target on NVIDIA Corporation (NASDA while reiterating a buy rating, explicitly tying the call to AI developments that have boosted demand. That kind of move, coming after a historic run, underlines why the “won’t budge” narrative resonates: the analyst community is not just holding existing targets, it is still nudging them higher on the back of fresh data points rather than backing away in the face of macro and regulatory worries.
China export risk and the H20 workaround
China remains the most obvious overhang on Nvidia’s story, and any analyst staying bullish has to explain why that risk is manageable. Washington’s export controls have already forced Nvidia to redesign products and accept that some of its highest-end GPUs cannot be shipped to Chinese customers. Yet instead of ceding the market, the company has engineered compliant chips that preserve at least part of the revenue stream, a strategy that helps justify a more optimistic stance.
Earlier this year Nvidia secured a license to sell its H20 AI chips into China, a China Revenue Deal that gives the company a sanctioned path to keep serving local cloud providers and internet platforms. That agreement, struck In August, does not fully replace the economics of unrestricted high-end GPU sales, but it demonstrates management’s willingness to adapt product and pricing to preserve share. For an analyst weighing whether to stay positive, the existence of a viable, licensed product line in China is a critical counterweight to the headline risk around export bans.
China demand is not going away
Even with export controls, the appetite for Nvidia hardware in China remains intense, which helps explain why some analysts see the region as a source of upside rather than just risk. The country’s tech giants are racing to build large language models and recommendation engines that can compete with Western platforms, and they still rely heavily on Nvidia’s CUDA ecosystem and software stack. That demand does not vanish simply because regulators tighten the rules; it shifts to whatever configurations are allowed.
Recent commentary around Nvidia’s latest China-compliant products underscores that point. Top Bernstein analyst Top Bernstein analyst Stacy Rasgon kept an Outperform rating and a $275 price target after Nvidia’s latest China win, arguing that the H200 is “far more attractive” than the H20 and that China is willing to buy what it can get. When a closely followed voice like Stacy Rasgon frames the new chips as a “shot in the arm” rather than a consolation prize, it reinforces the idea that China remains a meaningful growth driver, not just a regulatory headache.
Why TPUs and custom silicon are not breaking the thesis
The other big worry hanging over Nvidia is the rise of custom accelerators, especially Google’s TPUs and in-house chips from other hyperscalers. On paper, those efforts threaten to erode Nvidia’s pricing power and unit volumes at its largest customers. In practice, the analyst who is sticking with a bullish call appears to be betting that the AI workload pie is expanding fast enough, and Nvidia’s platform is entrenched enough, that custom silicon will coexist with, rather than replace, its GPUs.
Evidence from the cloud providers themselves supports that view. Google’s own AI announcements at CES highlighted that even as it touts TPUs, it continues to invest heavily in Nvidia hardware for certain training and inference tasks that require massive data and mature software tooling. That dual-track strategy, where hyperscalers deploy both proprietary accelerators and Nvidia GPUs, undercuts the idea that TPUs alone can derail the investment case. For an analyst focused on the next several years rather than the next quarter, the coexistence of these platforms looks more like diversification of demand than a zero-sum fight.
Still a generation ahead of the pack
At the heart of the bullish thesis is a simple technical claim: Nvidia’s GPUs remain ahead of the competition. If that edge were to vanish, the argument for paying a premium multiple would weaken quickly. Instead, the latest research continues to describe a meaningful performance and ecosystem gap between Nvidia and its rivals, which helps explain why some analysts are comfortable maintaining aggressive targets despite the stock’s volatility.
One influential note framed it bluntly, saying Nvidia’s GPUs are a full generation ahead of rivals and highlighting how that advantage is pulling in demand from growing customers such as Google. In that report, Ghazal Ahmed emphasized that NVIDIA Corporation (NASDAQ:NVDA) is one of the Good Stocks to Buy According to Analysts and cited the figure 51 in the context of analyst ratings, underscoring the breadth of institutional support. When a broad analyst cohort converges on the view that NVDA’s technology lead is intact, it gives a top-rated voice more cover to resist trimming a bullish stance.
Wall Street’s broader sentiment is still supportive
One analyst’s refusal to budge matters most when it reflects a wider pattern, and that is exactly what is happening around Nvidia. Across the Street, the company still shows up on lists of favored AI names, with many firms reiterating positive views even after a historic run. That backdrop makes it easier for a high-profile chip specialist to keep an aggressive rating without looking like an outlier.
Recent coverage has explicitly described NVIDIA Corporation (NASDAQ:NVDA) as one of the Good Stocks to buy according to analysts, citing support from figures such as Vivek Arya of Bank of America Securities. That kind of language signals that the bullish call is not a lonely one, but part of a consensus that Nvidia remains a core way to play the AI buildout. For investors trying to gauge whether the top-rated analyst is out on a limb, the answer, based on this research, is no.
Record results and the “law of large numbers” debate
Another reason the most influential Nvidia watchers are staying constructive is that the company’s financials keep defying the usual slowdown narrative. After a run of record quarters, skeptics have argued that the “law of large numbers” will eventually cap growth, making it harder to justify premium valuations. Yet the latest numbers suggest that moment has not arrived, which strengthens the hand of analysts arguing that the story still has legs.
One detailed analysis of Nvidia Corporation concluded that the law of large numbers has effectively been delayed, pointing to a record Q3 that should extend into the next fiscal year as AI infrastructure spending remains robust. That framing matters for valuation: if growth fatigue is postponed, the multiple does not need to compress as quickly as skeptics expect. For a top-rated analyst weighing whether to cut a price target on size alone, the evidence of continued acceleration provides a clear rationale to hold firm.
Production, supply and the next wave of AI demand
Staying bullish on Nvidia also requires confidence that the company can keep up with demand, especially as new AI models and applications emerge. Supply constraints have been a recurring theme, with customers complaining about long lead times for the most advanced GPUs. The latest commentary suggests Nvidia is not only addressing those bottlenecks but also preparing for another leg of growth as AI adoption spreads beyond the biggest cloud providers.
In a recent Analyst Commentary, Arya said Nvidia continues to lead AI computing by a full generation, with current Large Langua model training fueling demand for its GPUs and prompting the company to eye bigger AI chip output. That combination of technological lead and capacity expansion is central to the bullish thesis: if Nvidia can both stay ahead on performance and ship enough units to satisfy hyperscalers, enterprises and governments, then the revenue and earnings trajectory that underpins aggressive price targets remains intact.
How I weigh the risks against the conviction
From my vantage point, the most interesting part of this story is not that analysts like Nvidia, but that a top-rated specialist is willing to stay publicly aggressive even as the bear case gets louder. The risks are real: China policy can tighten further, custom silicon can eat into wallet share at key accounts, and AI spending could normalize faster than expected. Yet the research record shows that, so far, Nvidia has met each of those challenges with a mix of product innovation, ecosystem depth and sheer execution.
When I line up the evidence, the refusal to budge looks less like stubbornness and more like a calculated read of the data. Licensed products such as the H20 keep China in play, upbeat voices like Stacy Rasgon and Hans Mosesmann continue to raise or reaffirm targets, and broader coverage still describes NVDA as a core AI holding. As long as Nvidia’s GPUs remain a generation ahead, hyperscalers keep buying in bulk and financial results resemble those record quarters that “delayed” the law of large numbers, it is hard to argue that a top-rated analyst is out over their skis by staying firmly in the bull camp.
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Elias Broderick specializes in residential and commercial real estate, with a focus on market cycles, property fundamentals, and investment strategy. His writing translates complex housing and development trends into clear insights for both new and experienced investors. At The Daily Overview, Elias explores how real estate fits into long-term wealth planning.
