Exclusive: Navellier Calls Nvidia 'Screaming Buy' As Tech Expert Says Cheaper AI Doesn't Just Boost Demand—It 'Detonates It'
While Wall Street veteran Louis Navellie r declares that any dip in Nvidia Corp. ‘s (NASDAQ: NVDA ) stock is a “screaming buy,” three top technology analysts are fiercely debating whether the artificial intelligence (AI) giant’s projected $1 trillion revenue roadmap is already baked into its current valuation. As Nvidia transitions from its Blackwell chips to the new Vera Rubin architecture, experts are divided on whether the next wave of global AI spending remains economically rational or poses new capital efficiency risks for the tech giants funding it. The ‘Screaming Buy’ Bull Case Navellier, founder and chief investment officer of Navellier & Associates, leaves no doubt about Nvidia. With the stock recently experiencing broader market volatility and trading below its moving averages, he remains steadfastly bullish. “The stock is trading be...
While Wall Street veteran Louis Navellie r declares that any dip in Nvidia Corp. ‘s (NASDAQ: NVDA ) stock is a “screaming buy,” three top technology analysts are fiercely debating whether the artificial intelligence (AI) giant’s projected $1 trillion revenue roadmap is already baked into its current valuation.
As Nvidia transitions from its Blackwell chips to the new Vera Rubin architecture, experts are divided on whether the next wave of global AI spending remains economically rational or poses new capital efficiency risks for the tech giants funding it.
The ‘Screaming Buy’ Bull Case Navellier, founder and chief investment officer of Navellier & Associates, leaves no doubt about Nvidia.
With the stock recently experiencing broader market volatility and trading below its moving averages, he remains steadfastly bullish. “The stock is trading below 15.4 times forecasted 2027 earnings,” Navellier explained. “ Any dip in Nvidia and my other AI and data center-related companies is a screaming buy.” Navellier predicts the stock will reach $300 per share by the end of the year and $500 per share by the end of the decade, arguing that “there is nowhere to invest if an investor gets out,” given Nvidia’s dominant sales and earnings profile compared to the rest of the market.
Luke Lango, technology analyst and publisher of Innovation Investor, agrees that the upside is far from over.
Addressing the company’s shift toward the “agentic AI transition,” Lango noted that the new architecture’s reduced cost-per-token “doesn’t suppress demand; it detonates it.” “No, I don’t think the $1T Blackwell/Rubin projection is fully priced in — but the market is sniffing in that direction,” Lango added.
Weighing $1 Trillion Milestone And ‘Capital Efficiency’ Risks However, not everyone on Wall Street shares the sentiment that the next generation of growth is a blank check.
Dean Chen, an analyst at Bitunix Exchange, offered a more cautious perspective on the highly anticipated Vera Rubin transition. “I believe a substantial portion of the projected $1 trillion in cumulative Blackwell and Rubin revenue through 2027 is already reflected in Nvidia’s current valuation,” Chen warned.
For Chen, the primary risk isn’t technological execution, but rather “capital efficiency.” If Nvidia continues to rapidly accelerate its product cadence, major customers may be forced to reassess their depreciation assumptions and upgrade cycles. “The more important question is not whether Rubin will ship successfully, but whether AI infrastructure spending continues to generate measurable economic returns for Nvidia’s largest customers,” he stated.
Read Also: Nvidia Directors Receive Fresh Annual Stock Awards Worth Thousands Of Shares As NVDA Stock Pops 23% Over A Year Sovereign AI: A ‘Geopolitical Moat’ Or Distant Reality? As hyperscaler CapEx fatigue becomes a growing concern among investors, Nvidia’s push into Sovereign AI—providing AI infrastructure directly to national governments—has emerged as a critical secondary narrative.
Lango views this as a massive catalyst, pointing to the recent Palantir Technologies Inc. (NASDAQ: PLTR ) partnership and South Korea’s massive $880 billion AI infrastructure investment plan.
He noted this creates a “second, more recurring, less cyclical revenue leg” for Nvidia that grows independently of big tech budgets.
Eugenia Mykuliak, Founder and Executive Director at B2PRIME Group, agreed that governments are treating AI as a strategic asset, but cautioned against expecting immediate dominance over big tech revenue. “Government contracts tend to stretch over long periods of time, often taking months or even years,” Mykuliak explained, noting that hyperscalers will stay on as “dominant customers for NVIDIA for the foreseeable future.” Chen echoed this sentiment, estimating that Sovereign AI will account for roughly 10% to 15% of Nvidia’s revenue over the next three years.
He described it as a “geopolitical moat — not a cyclical substitute,” unable to fully replace large-scale commercial cloud investment.
Is Global AI Investment Still ‘Economically Rational’? As Nvidia approaches its next earnings report, expectations are sky-high, and analysts agree that revenue beats alone will no longer justify further multiple expansion. “Nvidia’s valuation is no longer about how many GPUs it can ship, but whether global AI investment continues to generate measurable economic returns,” Chen concluded.
Ultimately, the next phase for the stock hinges on proving to investors that aggressive AI spending remains “economically rational.” How Has NVDA Performed In 2026? NVDA shares have risen 4.54% year-to-date, down 7.66% over the last month, and 23.59% over the year.
The stock closed 1.27% higher at $194.97 apiece on Monday, and it was 0.18% higher in overnight trading. ’s Edge Stock Rankings indicate that NVDA maintains a weak price trend in the short and medium terms but a strong trend in the long term, with a solid quality score.
Read Also: Exclusive: Trump’s Intel Push Won’t Kill TSMC—Why The World’s ‘Indispensable Backbone’ Remains A Buy Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published editors.
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