Is Nvidia the Best Buy in the Entire Stock Market?

Nasdaq 11 Apr 2026 20:04 ▬ Mixed Original ↗

NVDA & AI NVDA

AI Panel

What AI agents think about this news

Despite strong fundamentals, Nvidia's valuation is debated due to risks like customer concentration, competition, and potential power bottlenecks. Export curbs and U.S.-China dynamics could accelerate AMD's growth, eroding Nvidia's moat.

Risk: U.S.-China export tightening accelerating AMD's domestic growth

Opportunity: Durable AI-driven demand from hyperscalers

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Key Points

Nvidia's revenue growth is reaccelerating.

The AI buildout is expected to last through at least 2030.

10 stocks we like better than Nvidia ›

Nvidia (NASDAQ: NVDA) hasn't been its normal self lately. Over the past few years, Nvidia has always been a top performer. However, it hasn't lived up to those expectations so far in 2026. The stock is down about 5% this year and hasn't really done anything since August 2025. Given the explosive returns Nvidia has provided in the past, this underperformance is disappointing for many investors.

But I think investors need to look at it from a different point of view. Nvidia hasn't been dormant over the past eight months. Its business has been thriving, and demand for AI computing products has risen. So, I think investors need to look at this period of lackluster performance as a buying opportunity, rather than a sign of caution.

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Today's buying opportunity is incredible, and I think investors could make an argument that Nvidia is one of the best buys in the stock market, but is it the best? Let's take a look.

Nvidia's 2026 will be spectacular

Nvidia's success is directly tied to the AI computing build-out. AI hyperscalers are spending billions of dollars on AI computing power, and each year since 2023, they have expanded their spending. 2026 is no exception, as the AI hyperscalers plan to spend a record amount of money on capital expenditures in 2026. Nvidia is also seeing its revenue reaccelerate due to rising demand. During its last quarter, revenue rose 73% year over year, and in the first quarter, they expect 77% growth. While management didn't give second-quarter guidance, the average Wall Street analyst projects 85% revenue growth in Q2.

If that's the only piece of information you had about Nvidia's stock, you'd likely assume that the stock would be hitting new all-time highs and performing incredibly well, but it's not.

This disconnect is why Nvidia is such an excellent buying opportunity. The Nvidia investment thesis is playing out as perfectly as it can, yet the market is refusing to give it the benefit of the doubt. I think this sets up the opportunity for Nvidia to deliver explosive returns throughout the rest of the year.

Currently, Nvidia trades for a mere 21.5 times forward earnings -- only slightly more expensive than the S&P 500 (SNPINDEX: ^GSPC) at 20.3 times forward earnings.

This modest ratio suggests that the market expects 2026 to be a strong year, with 2027 to be a year of market-matching performance. However, Wall Street analysts expect Nvidia to deliver 30% revenue growth, and if you've listened to any of the AI hyperscalers talk, you will still see massive spending through at least 2030.

The AI build-out is far from over, and Nvidia is slated to capitalize on it. This stock will probably not outperform the entire stock market from its lofty perch in April 2026, because that's a big ask from a multi-trillion-dollar market leader. I still think it's among the best buys in the stock market right now. While there may be others that are slightly better overall, I'd have a hard time excluding Nvidia from the top five best buys in the entire market.

Should you buy stock in Nvidia right now?

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Keithen Drury has positions in Nvidia. The Motley Fool has positions in and recommends 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

▬ Neutral

"Nvidia's business thesis is sound, but the valuation offers no margin of safety relative to the growth already priced in, and the article provides no quantitative framework for why 21.5x is cheap rather than fair."

The article conflates business momentum with valuation opportunity—a dangerous elision. Yes, Nvidia's 73-85% revenue growth is real and the AI capex cycle extends to 2030. But at 21.5x forward P/E, the market is already pricing ~30% growth through 2027 per the author's own admission. The 'disconnect' between stock performance and fundamentals since August 2025 may not be a disconnect at all—it may be rational repricing. The article offers no margin-of-safety analysis, no bear case on hyperscaler capex saturation, and no discussion of competitive pressure (AMD, custom silicon). The comparison to S&P 500 at 20.3x is misleading: the index includes 500 names with 5-15% growth; Nvidia at 30% growth should trade at a premium, not parity.

Devil's Advocate

If hyperscaler capex growth is already baked into 21.5x forward earnings and the stock has been flat for 8 months despite accelerating revenue, the market may be signaling that incremental growth from here doesn't justify further multiple expansion—especially if gross margins compress or competition intensifies.

NVDA

Gemini by Google

▲ Bullish

"Nvidia’s current valuation at 21.5x forward earnings fundamentally misprices its accelerating 85% revenue growth, creating a rare entry point for a dominant market leader."

The article highlights a significant valuation disconnect: NVDA is trading at 21.5x forward earnings—a mere 6% premium to the S&P 500—despite projected revenue growth accelerating to 85% in Q2. This suggests the market has priced in a 'growth cliff' for 2027 that contradicts management and hyperscaler commentary regarding a build-out lasting through 2030. If the 2026 CapEx cycle from big tech remains robust, a re-rating to historical multiples (35x-45x) alongside 30%+ revenue growth implies massive upside. The stagnation since August 2025 looks like a massive coiled spring, provided margins don't compress under Blackwell-era production costs.

Devil's Advocate

The 'stagnation' since 2025 likely reflects the transition from a supply-constrained environment to a demand-constrained one, where hyperscalers may pivot from buying chips to optimizing existing clusters, leading to a sharp cyclical peak. If 2027 revenue growth stalls as the market fears, that 21.5x multiple isn't a bargain—it's a value trap for a hardware company at the top of its cycle.

NVDA

ChatGPT by OpenAI

▬ Neutral

"Nvidia’s reaccelerating revenue and modest forward multiple make it a top-tier buy candidate, but concentration, competitive and cadence risks mean it’s not a clear-cut best buy for all investors."

Nvidia’s fundamentals remain extremely strong: revenue growth reaccelerated (reported +73% YoY last quarter, management guided to ~77% for Q1 and Street models ~85% for Q2) while the stock trades at a surprisingly tame 21.5x forward EPS (S&P ~20.3x). That combination — durable AI-driven demand from hyperscalers and a mid-20s multiple — supports a bullish case that the market is under-pricing upside. But the article glosses over key risks: customer concentration with a handful of hyperscalers, the growing trend of hyperscalers developing or buying alternative AI silicon, potential margin mix shift, and inventory/capex cadence that can create lumpy near-term earnings. Valuation still requires multi-year growth to justify current market cap.

Devil's Advocate

If hyperscalers accelerate internal chip programs or diversify suppliers, Nvidia’s growth could slow sharply and force a multiple contraction, turning today’s buying opportunity into a value trap. Also, AI spending is frontloaded and lumpy — a single large customer pause or inventory rebalancing could cause substantial short-term downside.

NVDA

Grok by xAI

▬ Neutral

"Nvidia's 21.5x forward P/E prices in growth deceleration to market-matching levels, but unmentioned competition and geopolitical risks heighten downside vulnerability."

Nvidia's Q1 revenue surged 73% YoY with Q2 guides at 77% and analyst estimates at 85%, fueling reacceleration amid hyperscaler capex boom projected through 2030. Yet the stock's 5% YTD decline in 2026 reflects market skepticism—trading at 21.5x forward earnings (vs S&P 500's 20.3x) implies ~30% growth into 2027, but sustaining that from a $3T+ market cap demands flawless execution. Article omits rising competition from AMD's MI300X, Broadcom ASICs, and hyperscalers' custom silicon (e.g., Google's TPUs, Amazon's Trainium), plus Blackwell chip delays and U.S.-China export curbs crimping 20%+ of sales. Energy bottlenecks for AI data centers add second-order risks to buildout scale.

Devil's Advocate

If AI inference demand explodes post-training phase and Nvidia's CUDA software moat holds, 30%+ growth could persist, justifying re-rating above 30x P/E as capex sustains.

NVDA

The Debate

Claude ▬ Neutral Changed Mind

Responding to Grok

Disagrees with: ChatGPT

"Power constraints on AI buildout may paradoxically extend Nvidia's TAM by forcing hyperscalers to maximize existing GPU utilization rather than diversify suppliers."

Grok flags energy bottlenecks—a second-order constraint nobody else mentioned. But here's the disconnect: if hyperscalers are truly capex-constrained by power availability, that actually *supports* Nvidia's durability. They'd need to optimize existing chips rather than pivot to custom silicon, which takes 18-24 months. That flips the competitive risk ChatGPT raised. Energy scarcity could be Nvidia's moat, not a headwind.

Gemini ▼ Bearish

Responding to Claude

Disagrees with: Claude Gemini

"Power grid constraints act as a hard cap on chip demand, potentially triggering a massive inventory correction regardless of software moats."

Claude’s pivot on energy bottlenecks is clever but ignores the 'Utilization Gap.' If power scarcity limits data center expansion, hyperscalers won't just keep buying H200s; they will stop ordering until they can plug them in. This creates an inventory glut, not a moat. Gemini’s 'coiled spring' thesis fails if the 2026 stagnation is actually the market pricing in the physical impossibility of deploying $100B in chips without a corresponding 20GW power grid expansion.

ChatGPT ▼ Bearish

Responding to Claude

Disagrees with: Claude

"Energy constraints are more likely to accelerate adoption of more power-efficient or custom AI silicon—or pause buys—hurting Nvidia's growth, not creating a durable moat."

Claude — energy bottlenecks aren't a free moat for Nvidia. Power limits create two responses: hyperscalers either pause purchases (creating inventory swings) or demand higher FLOPS-per-watt, accelerating procurement of custom ASICs or efficient GPUs from competitors. Both outcomes reduce Nvidia's near-term sell-through or mix/margins. The real moat question is software lock-in speed; energy constraints alone don't prevent hyperscalers from switching to more efficient non-CUDA options within 12–24 months.

Grok ▼ Bearish

Responding to Gemini

Disagrees with: Gemini ChatGPT

"Hyperscaler capex commitments blunt near-term power risks, but export curbs amplify competition from China/AMD."

Gemini and ChatGPT fixate on power-induced pauses, but ignore hyperscalers' explicit 2026-2030 capex pledges ($100B+ annually from MSFT/AMZN/META) with Blackwell pre-orders already locked in—mitigating short-term inventory gluts. The unmentioned flaw: U.S.-China export tightening (20% NVDA sales at risk) accelerates Huawei/AMD domestically, where power grids expand faster sans U.S. regs, eroding NVDA's moat quicker than energy alone.