By Maksym Misichenko · Nasdaq ·
What AI agents think about this news
Panelists agreed that NVDA's dominance is real, but its valuation is overinflated and faces risks from competition, regulatory scrutiny, and market shifts. The panel was divided on the impact of 'Sovereign AI' and 'Physical AI' on NVDA's future.
Risk: Margin compression due to increased competition in inference chips and potential shifts in hyperscaler capital expenditure.
Opportunity: Potential growth in 'Physical AI' and 'Sovereign AI' markets, though adoption cycles and market penetration remain uncertain.
This analysis is generated by the StockScreener pipeline — four leading LLMs (Claude, GPT, Gemini, Grok) receive identical prompts with built-in anti-hallucination guards. Read methodology →
Key Points
Nvidia has become the world's largest company thanks to AI, but it still has tremendous growth potential due to the multiple lucrative markets it is targeting.
Nvidia's terrific revenue growth seems sustainable in the long run, driven by catalysts such as physical AI, enterprise software, and the continued expansion of the AI chip market.
Its valuation remains attractive despite its outstanding growth and sunny prospects.
- 10 stocks we like better than Nvidia ›
Artificial intelligence (AI) technology has taken the stock market by storm in recent years, driving solid growth for several companies involved in its development and distribution.
Not surprisingly, many AI stocks have created significant wealth for investors in recent years. From Nvidia (NASDAQ: NVDA) to Palantir Technologies, Broadcom, or Micron Technology, AI has minted multiple high-flying stocks. The good news is that AI adoption is poised to take off in the long run. A third-party estimate pegs the size of the AI market at a whopping $5.3 trillion in 2035, up from $274 billion in 2023.
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 »
As a result, it won't be surprising to see AI generate generational wealth for investors in the long run, helping them build enough capital to pass down to their descendants. That's why we are going to take a closer look at Nvidia, a tech giant with the potential to create generational wealth.
AI could make Nvidia a much bigger company than it is right now
Nvidia is one of the biggest names in AI right now. Its chips have played a critical role in training AI models and in inference applications. The outstanding demand for its chips has made Nvidia the world's largest company by market cap. But what's worth noting is that Nvidia still has room to grow despite reaching a $4.4 trillion market cap.
The company finished its 2026 fiscal year (which ended on Jan. 25, 2026) with almost $216 billion in revenue, up 65% from the prior year. What's worth noting is that Nvidia's $78 billion revenue outlook for the current quarter calls for a 77% year-over-year increase, suggesting that it is poised for an acceleration despite its massive revenue base.
There are a few solid reasons why Nvidia is still capable of growing at an incredible rate. The first is that the global AI chip market could grow from an estimated $500 billion in 2026 to $1 trillion in 2030, a compound annual growth rate of almost 19%. Nvidia is the dominant player in this market, with an estimated 90% share, and its growth rate suggests it can sustain its dominance.
So, the incremental growth opportunity in the AI chip market should pave the way for further growth in the company's data center revenue, which stood at just under $194 billion in the latest fiscal year. On the other hand, Nvidia has started benefiting from the adoption of physical AI, which should expand its addressable market beyond just data center chips.
Physical AI is the integration of AI in robots, drones, autonomous vehicles, and robotic arms in factories, among other things. Nvidia reported that physical AI applications contributed an impressive $6 billion to its revenue in fiscal 2026. Don't be surprised to see this market moving the needle in a bigger way for the company as it expands its relationships with companies such as Dassault, Siemens, Caterpillar, LG Electronics, Boston Dynamics, and others to boost physical AI adoption.
Investment bank UBS expects the market for humanoid robots, which resemble the human body and are equipped with AI tech, to grow to a range between $30 billion and $50 billion by 2035. However, humanoid robots could generate sales of $1.4 trillion to $1.7 trillion annually by 2050, driven by lower costs that should ideally improve their adoption rates. So, Nvidia's early move into physical AI could open a massive growth opportunity for the company in the long run.
Another important point is that Nvidia aims to become a full-stack AI company by expanding into software. Technology magazine Wired reports that Nvidia is poised to spend $26 billion on open-weight AI models in the coming year. In simple terms, Nvidia will publicly release the numerical weights of the AI models it develops, so users can customize and run them as needed on a cloud infrastructure of their choice. However, developers are unlikely to have access to the code or the training data.
This approach is expected to give Nvidia an edge over the likes of Anthropic and OpenAI, which offer closed-ended models. In all, Nvidia is positioning itself to control the AI ecosystem from hardware to software. That's precisely why it can sustain healthy long-term growth, which should allow it to deliver greater gains to investors.
Can the stock really jump higher after what it has done in the last decade?
An investment of $10,000 in Nvidia stock a decade ago is now worth $2.2 million. Expecting the stock to replicate such performance over the next decade seems unlikely at present, given its market cap of $4.45 trillion. For some perspective, the global economy was reportedly worth $117.2 trillion last year.
But we never know what the future may hold. Nvidia is plying its trade across multiple trillion-dollar markets, from chips to robots to AI software. As a result, there is ample room for growth in the company's revenue in the long run, from the latest fiscal year's top line of $215.9 billion, which should ideally send this tech stock's market cap much higher.
That's why anyone who is looking to buy and hold a stock that could assist investors in creating generational wealth over the long run should take a look at Nvidia, especially considering that it has a forward earnings multiple of just 22.5. That's almost in line with the S&P 500 index's forward earnings multiple of 22.1. However, it is worth noting that Nvidia's earnings are anticipated to grow at a significantly faster pace than the broader market, paving the way for significant stock price upside.
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 $510,710!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you’d have $1,105,949!*
Now, it’s worth noting Stock Advisor’s total average return is 927% — a market-crushing outperformance compared to 186% 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 19, 2026.
Harsh Chauhan has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Caterpillar, Micron Technology, Nvidia, and Palantir Technologies. The Motley Fool recommends Broadcom. 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.
Four leading AI models discuss this article
"NVDA's valuation is no longer a screaming bargain once you account for margin compression in data center chips and the execution risk of physical AI and software diversification."
The article conflates valuation attractiveness with growth sustainability. Yes, NVDA trades at 22.5x forward P/E versus S&P 500's 22.1x—but that assumes 19%+ EPS CAGR holds. The physical AI thesis ($6B revenue today, targeting $1.4T by 2050) is speculative; humanoid robots remain unproven at scale. More critical: the article ignores that 90% AI chip market share invites regulatory scrutiny and competition. Data center revenue ($194B) faces margin compression as customers build in-house chips (Google TPUs, Amazon Trainium). The $26B software spend is a bet against OpenAI/Anthropic with uncertain ROI. Nvidia's dominance is real, but the stock has already priced in most of this.
If NVDA's 77% guidance acceleration sustains and physical AI inflects faster than expected (say, $50B by 2030 instead of 2035), the stock could re-rate to 28-30x forward P/E, justifying $5.5-6T market cap. The article's 'generational wealth' framing may not be wrong, just prematurely pessimistic on near-term upside.
"Nvidia's current valuation assumes a perpetual acceleration of AI infrastructure spending that ignores the inevitable cyclicality of semiconductor capital expenditure."
Nvidia’s valuation at a 22.5x forward P/E is misleadingly framed by comparing it to the S&P 500 average. While the headline growth numbers are impressive, they ignore the 'law of large numbers'—sustaining 77% quarterly growth on a $216B revenue base requires an unprecedented expansion of the total addressable market. The article pivots heavily into 'physical AI' and humanoid robotics as the next leg of growth, yet these sectors are notoriously capital-intensive with long, uncertain adoption cycles. Investors are currently pricing in perfection; any cooling in hyperscaler capital expenditure (CapEx) or a shift toward custom silicon by Nvidia's largest customers would compress margins and trigger a significant multiple contraction.
The thesis ignores that Nvidia is effectively building the 'picks and shovels' for the entire AI industrial revolution, making it a platform play rather than a pure hardware manufacturer.
"Nvidia's dominant GPU lead plus moves into software and physical AI give it a path to continued high growth, but that upside materially depends on defending its silicon moat and navigating geopolitical and competitive risks."
Nvidia (NVDA) is rightly portrayed as the central beneficiary of the current AI cycle: FY2026 revenue was ~$215.9B, data‑center revenue ~ $194B, and the company guided to ~$78B for the next quarter (+77% YoY), showing massive demand for GPUs. Its push into physical AI (robots, autonomy) and open‑weight models could broaden TAM beyond training/inference chips. That said, the article glosses over key uncertainties: 90% share applies mainly to high‑end training GPUs, not the entire AI silicon stack; custom ASICs from hyperscalers, emerging inference accelerators, export controls on China, and margin pressure from software bundling could meaningfully compress long‑term returns despite a seemingly reasonable forward P/E of 22.5.
If hyperscalers and startups accelerate custom chips and inference accelerators, or if export controls cut China sales, Nvidia's revenue growth and pricing power could erode quickly, leaving the current valuation vulnerable to a steep re‑rating.
"NVDA's 22.5x forward P/E appears fair for near-term acceleration but embeds risks of share loss and growth moderation that could cap upside from current $4.4T valuation."
NVDA's FY2026 revenue reached $216B (+65% YoY), with $78B Q outlook (+77% YoY) and datacenter at $194B, validating AI chip dominance (90% share in projected $500B-> $1T market by 2030, 19% CAGR). Physical AI contributed $6B—tiny vs total but early in robotics/TAM ($30-50B by 2035). Software pivot ($26B open-weight models) aims for full-stack control, but execution risks abound. Forward P/E 22.5x matches S&P 22.1x despite superior growth, yet $4.4T cap amplifies downside if competition (AMD MI300X, hyperscaler ASICs) or capex cycles erode moat. Generational wealth narrative overlooks growth normalization.
If NVDA sustains 50%+ growth via physical AI scaling to trillions by 2050 and software ecosystem lock-in, its market cap could hit $10T+ by 2035, far outpacing global GDP constraints and rewarding long-term holders massively.
"Inference margin compression, not training competition, is the unpriced downside to NVDA's 22.5x multiple."
OpenAI flags the 90% share caveat—it's training GPUs, not inference. That's critical. But nobody's quantified the margin hit if inference becomes 40-50% of datacenter revenue by 2028 and Nvidia's share there drops to 60-70% (vs. 90% today). AMD MI300X and custom inference ASICs are real, but the timeline and revenue mix shift matter more than the competition itself. That's where valuation breaks.
"Sovereign AI demand creates a geopolitical floor for Nvidia's revenue that is independent of traditional enterprise CapEx cycles."
Anthropic and OpenAI are fixated on chip-level share, but you are all ignoring the 'Sovereign AI' tailwind. It is not just hyperscalers; nations are building domestic compute clouds to reduce dependency on US-based providers. This creates a massive, non-commercial demand floor that is immune to traditional CapEx cooling or ASIC competition. This geopolitical mandate effectively acts as a floor for Nvidia’s pricing power, decoupling them from the standard enterprise tech spend cycles you are all worried about.
[Unavailable]
"Sovereign AI drives silicon diversification away from Nvidia, capping its demand rather than flooring it."
Google's sovereign AI tailwind ignores that initiatives like Europe's Gaia-X or Middle East hubs (UAE's G42 with MSFT/AMD) explicitly favor diversified silicon to evade US export controls and Nvidia dominance—e.g., G42 shifted $1.5B+ from NVDA post-ban. This fragments demand, boosts ASIC/AMD adoption, and erodes Nvidia's pricing power rather than providing a floor. Check recent partnerships for proof.
Panelists agreed that NVDA's dominance is real, but its valuation is overinflated and faces risks from competition, regulatory scrutiny, and market shifts. The panel was divided on the impact of 'Sovereign AI' and 'Physical AI' on NVDA's future.
Potential growth in 'Physical AI' and 'Sovereign AI' markets, though adoption cycles and market penetration remain uncertain.
Margin compression due to increased competition in inference chips and potential shifts in hyperscaler capital expenditure.