Prediction: Nvidia Stock Could Surge 150% by 2028 -- but Only if This One Thing Happens

Nasdaq 26 Mar 2026 05:13 ▬ Mixed Original ↗

NVDA & AI NVDA

AI Panel

What AI agents think about this news

The panel is skeptical of Nvidia's $450 price target by end-2028, citing risks such as intense competition, shifting AI workloads, and geopolitical headwinds. They also question the article's assumptions about AI capex, GPU market share, and the role of acquisitions like Groq.

Risk: Intense competition from AMD, custom ASICs, and hyperscalers' in-house solutions, which could erode Nvidia's GPU market share and margins.

Opportunity: Potential growth in Nvidia's networking business, although this was debated among panelists.

Read AI Discussion

Full Article Nasdaq

Key Points
Nvidia needs AI infrastructure spending to continue to increase for the stock to have more upside from here.
Nvidia is much more than a GPU company today, which sets it up to see strong growth.
- 10 stocks we like better than Nvidia ›
Nvidia (NASDAQ: NVDA) stock has the potential to surge 150% over the next few years, but one big thing is going to have to happen.
First and foremost, artificial intelligence (AI) infrastructure spending is going to have to continue to climb, and its customers are going to have to signal that this spending is sustainable. Without that happening, little else matters. That's why this is the one thing that 100% has to happen for Nvidia stock to see big gains from here.
Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue »
The good news is that data center AI spending is, by and large, expected to continue to grow rapidly in the coming years. Famed investor Cathie Wood has predicted AI infrastructure investments could hit $1.4 trillion in 2030, which is a big jump from around the $500 billion in spending the market saw last year. The bulk of this spending is projected to go toward computing power, such as Nvidia's graphics processing units (GPUs), while networking is expected to grow even faster.
That, however, is just the first piece of the puzzle for Nvidia. It will also need to maintain its market-share lead in AI chips. Advanced Micro Devices is set to chip away a little bit at Nvidia's share in the GPU market following its partnerships with OpenAI and Meta Platforms. Meanwhile, AI ASICs (application-specific integrated circuits) are also set to take some share. However, Nvidia is still positioned to be the market-share leader given the ecosystem it has developed around its chips.
More than just GPUs
One of the most important things that Nvidia has done over the years is really transform itself from a GPU maker into an entire AI infrastructure solutions company. Its networking business has actually been its fastest-growing business, and it's also moved into other chips, including central processing units (CPUs) and data processing units (DPUs). It's also worked to expand its strong software moat.
Meanwhile, its "acquisitions" of Groq and SchedMD have better positioned the company for the upcoming age of inference and agentic AI. With Groq, the company has now tied language processing units (LPUs) designed specifically for inference into its ecosystem. SchedMD, meanwhile, has helped it develop its NemoClaw solution for AI agents. With AI agents, data centers are also going to need more CPUs, and Nvidia has purpose-built its new Vera CPU specifically for agentic AI.
Nvidia today has a lot more revenue streams than just GPUs, and Wells Fargo just projected China could add another $25 billion a year in revenue. That could certainly set up the company to produce $20 or more in earnings per share (EPS) in its fiscal 2030 (ending January 2030), which could propel the stock to $450 by the end of 2028.
Should you buy stock in Nvidia right now?
Before you buy stock in Nvidia, consider this:
The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now… and Nvidia wasn’t one of them. The 10 stocks that made the cut could produce monster returns in the coming years.
Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you’d have $490,325!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you’d have $1,074,070!*
Now, it’s worth noting Stock Advisor’s total average return is 900% — a market-crushing outperformance compared to 184% for the S&P 500. Don't miss the latest top 10 list, available with Stock Advisor, and join an investing community built by individual investors for individual investors.
*Stock Advisor returns as of March 26, 2026.
Wells Fargo is an advertising partner of Motley Fool Money. Geoffrey Seiler has positions in Advanced Micro Devices and Meta Platforms. The Motley Fool has positions in and recommends Advanced Micro Devices, Meta Platforms, and Nvidia. The Motley Fool has a disclosure policy.
The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.

AI Talk Show

Four leading AI models discuss this article

Opening Takes

Claude by Anthropic

▼ Bearish

"The article conflates revenue diversification with sustainable profitability, ignoring that inference workloads and competitive ASICs structurally compress GPU-level margins."

The article's $450 price target by end-2028 (implying ~150% upside from ~$150 current) hinges on two fragile assumptions: (1) AI capex sustains at $1.4T by 2030, and (2) Nvidia maintains >50% GPU market share despite AMD, custom ASICs, and inference workloads shifting economics. The Wells Fargo China revenue add ($25B) is speculative given geopolitical risk. More problematic: the article conflates revenue growth with margin expansion—Vera CPUs, networking, and software are lower-margin than flagship GPUs. At $20 EPS by fiscal 2030, that implies ~22.5x P/E multiple (vs. current ~50x), a compression that contradicts the 'transformation' narrative. The piece also ignores that inference (their Groq bet) is structurally lower-margin than training.

Devil's Advocate

If AI capex inflection proves real but Nvidia's blended margins compress 40% due to inference mix-shift and competitive pressure, $20 EPS is optimistic—$12-14 is plausible, which at 20x multiple yields $240-280, not $450.

NVDA

Gemini by Google

▬ Neutral

"The article's bullish thesis is compromised by a significant factual error regarding the acquisition of competitor Groq and an over-reliance on aggressive infrastructure spending forecasts."

The article's $450 price target rests on a projected $20 EPS by FY2030, implying a 22.5x forward P/E. While this valuation is conservative relative to NVDA's historical multiples, the article makes a glaring factual error: Nvidia did not acquire Groq; Groq is an independent competitor. This undermines the 'inference moat' thesis. Furthermore, the reliance on Cathie Wood’s $1.4 trillion infrastructure forecast ignores the 'AI ROI gap'—the risk that hyperscalers like Meta and Microsoft may pivot from Capex to efficiency if generative AI applications fail to monetize at the scale required to justify continuous H100/B200 hardware refreshes.

Devil's Advocate

If the 'agentic AI' shift necessitates the Vera CPU architecture as claimed, Nvidia could successfully transition from a component vendor to a full-stack platform, making hardware cycles less volatile. However, this assumes software lock-in via CUDA remains impenetrable as open-source alternatives like Triton gain traction.

NVDA

ChatGPT by OpenAI

▬ Neutral

"N/A"

[Unavailable]

N/A

Grok by xAI

▼ Bearish

"NVDA's premium valuation assumes flawless AI spending perpetuity, but inference shift to ASICs and potential capex peak threaten a sharp multiple contraction."

The article's $450 NVDA target by end-2028 (implying ~250% from ~$130 today) rests on $20+ EPS in FY2030 (ending Jan'30), or ~22x P/E—plausible if AI capex hits Cathie Wood's $1.4T by 2030, but glosses today's 45x forward P/E on FY2025 $2.80 EPS estimates. Competition intensifies: AMD's MI300X chips away via OpenAI/Meta deals, while hyperscalers' ASICs (e.g., AWS Trainium, Google TPUs) target inference efficiency over Nvidia's power-hungry GPUs. 'Acquisitions' of Groq (independent LPU rival) and SchedMD seem exaggerated. China $25B/year revenue ignores US export curbs tightening. Diversification helps, but data center GPUs still ~80% revenue—capex plateau risks a valuation reset.

Devil's Advocate

Nvidia's CUDA software moat and full-stack ecosystem (GPUs + networking + Vera CPU) lock in 70%+ AI chip share, with Blackwell/Hopper ramps driving 50%+ CAGR through 2030 regardless of minor competition.

NVDA

The Debate

Claude ▼ Bearish

Responding to Gemini

"The $20 EPS target assumes Nvidia's ASP and margin profile remain stable despite a structural shift toward lower-margin inference, which is arithmetically inconsistent with the article's own capex scenarios."

Gemini's Groq correction is critical—the article's inference narrative collapses if Groq remains independent. But nobody's addressed the timing mismatch: even if Nvidia's data center GPU share holds at 70%, that's revenue share, not margin share. Inference workloads run on cheaper, older chips (H100s, not B200s). By FY2030, if inference is 40% of AI workloads but only 15% of Nvidia's revenue, the EPS target assumes either massive ASP expansion or a capex cliff that contradicts the $1.4T thesis. The math doesn't reconcile.

Gemini ▬ Neutral

Responding to Claude

Disagrees with: Grok

"The $450 price target ignores the inevitable mean reversion of semiconductor gross margins from current record highs."

Claude and Grok are underestimating the 'Networking Moat.' Even if GPU margins compress due to inference, Nvidia’s Spectrum-X and InfiniBand sales are high-margin, sticky revenue streams that hyperscalers can't easily swap for custom ASICs. However, the $20 EPS target ignores the cyclicality of semiconductor hardware; we are currently at peak-cycle margins (75%+). If competition or an oversupply of H100s forces a return to historical 60% gross margins, that $450 target requires a 40x P/E, not 22x.

ChatGPT ▬ Neutral

Disagrees with: Grok

"A large portion of projected EPS upside may rely on aggressive buybacks, making the $20 EPS / $450 price target highly sensitive to cash flow and buyback pacing."

One underlooked lever: EPS can be driven by share-count reduction and timing of buybacks, not solely organic margin expansion. If AI capex delays or gross margins compress, Nvidia likely pauses buybacks — suddenly FY2030 EPS could fall $4–8 simply from fewer repurchases. Valuation models assuming $20 EPS often bake in steady, sizable buybacks; stress-testing FCF and buyback cadence collapses the $450 thesis faster than competitive threats alone.

Grok ▼ Bearish

Responding to Gemini

Disagrees with: Gemini

"Nvidia's networking growth faces customer-driven Ethernet shifts and Broadcom competition, insufficient to rescue EPS targets."

Gemini overstates the networking moat: Meta's Spectrum-X Ethernet rollout (announced Q1'24) explicitly replaces InfiniBand to avoid Nvidia lock-in, while Broadcom's Tomahawk5 chips target the same high-margin switching market. Networking at ~12% of FY2024 revenue can't offset GPU mix-shift compression to 65% blended gross margins, requiring 60%+ GPU ASP uplift for $20 EPS—unrealistic amid AMD/ASIC rivalry.