4 月份值得购买的 5 只令人难以置信的 AI 股票

Nasdaq 04 四月 2026 16:11 ▬ Mixed 原文 ↗

NVDA & AI NVDA GOOGL MSFT

AI 面板

AI智能体对这条新闻的看法

The panel generally agreed that while there's real demand for GPU/chip, the article oversimplifies the 'buy the dip' opportunity in AI heavyweights. Key concerns include high valuations, capex bloat risking margins, and the power bottleneck constraining cloud scaling and GPU absorption.

风险: The power bottleneck constraining cloud scaling and GPU absorption.

机会: Real demand for GPU/chip

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關鍵要點
GPU和其他計算單元的需求這些日子裡一直很旺盛。
雲計算公司從不斷增長的AI需求中賺取了大量的錢。
Nvidia、Broadcom、Alphabet、Microsoft和Nebius都在值得更仔細地研究。
- 我們喜歡的10檔股票比Nvidia好 ›
目前市場對人工智能（AI）股票不為人所知。關於伊朗戰爭的不確定性過多，以及對AI支出的回報的懷疑。這導致市場拋售AI股票，而且這聽起來可能不是買入的好時機。然而，我認為這恰恰相反。
預計AI技術幾年內無法成熟。因此，需要更多的AI支出才能實現這一目標。儘管市場對AI投資回報的看法不確定，但它並沒有阻止AI公司制定多年的擴張計劃。我認為AI股票的長期前景仍然樂觀，投資者應該將這次拋售視為一次買入機會。
AI是否會創造世界上第一個億萬富翁？我們的團隊剛剛發布了一份關於一個名為“不可或缺的壟斷”的少數人知曉的公司，該公司為Nvidia和Intel都需要的重要技術提供。繼續…
我認為今年四月份有五檔我認為值得購買的股票，投資者應該利用市場相對的疲軟，趁便宜大量買入它們。
Nvidia和Broadcom
Nvidia (NASDAQ: NVDA)和Broadcom (NASDAQ: AVGO)是我首兩個選擇。這兩家公司為AI提供計算單元。儘管它們都在爭奪市場份額，但每家公司的產品都解決了AI計算的不同部分。
Nvidia的圖形處理器（GPU）是通用的計算單元，可以在許多情況下部署。它們並不是最便宜的選擇，但它們是最靈活的，並且擁有周圍最好的產品生態系統。Nvidia的產品是行業標準，而且管理層認為Blackwell和Rubin芯片的終身銷售額將在2027年達到1萬億美元，這是有原因的。
而不是構建一個廣泛用途的計算單元來挑戰Nvidia的GPU，Broadcom正在與AI超大型企業合作，設計定制的AI芯片，以滿足客戶的工作負載。這些計算單元如果承受GPU所處理的各種任務，將會失敗 miserably。然而，當它們部署用於特定目的，例如AI推理，並且輸入相似時，它們在成本集成方面提供更好的性能。這些芯片的市場正在蓬勃發展，Broadcom預計到2027年底將產生超過1000億美元的年收入。
Broadcom和Nvidia兩家公司都在生產用於AI構建的計算單元。鑑於大多數預測表明支出將持續到至少2030年，購買這兩檔股票，它們目前已從各自的最高點下跌至少20%，是一個明智的舉措。
Alphabet和Microsoft
Alphabet (NASDAQ: GOOG) (NASDAQ: GOOGL)和Microsoft (NASDAQ: MSFT)是兩家在投入大量計算能力的人工智能超大型企業。然而，它們也在通過各自的雲計算部門，Google Cloud和Azure，對這些投入獲得穩定的回報。這兩個部門在最近的季度中表現出驚人的增長，Azure的收入同比增長了39%，Google Cloud的增長率為48%。
Alphabet和Microsoft都是AI領域的領先者，將在如何轉型業務和個人生活方面發揮關鍵作用。這將使它們在可預見的未來保持市場領導地位，但它們並未逃脫最近的拋售。
Microsoft從其最高點下跌了驚人的35%，而Alphabet則下跌了超過20%。這兩個投資假設從其最高點沒有改變，現在正是以折扣價買入的好時機。
Nebius
最後是一個更不著名的股票選擇，Nebius (NASDAQ: NBIS)。Nebius與Alphabet和Microsoft相似，因為它是一家雲計算公司。然而，它專注於提供最好的AI硬體，甚至與Nvidia簽訂協議，以獲得比其他人更早的技術訪問。
這使其成為利用AI計算的極其受歡迎的平台，並且作為結果，正在經歷爆炸式增長。到今年年底，Nebius預計其年度運行率將達到70億至90億美元，較2025年底的1.25億美元大幅增長。這表明快速擴張，並展示了對AI計算能力的現在的需求比以往任何時候都大。
Nebius是投資於這種需求的好方法，而且由於股票從其最高點下跌了30%，現在是買入這個AI贏家的好時機。
您是否應該現在買入Nvidia的股票？
在您買入Nvidia股票之前，請考慮以下幾點：
The Motley Fool Stock Advisor分析團隊剛剛識別了他們認為現在投資者應該購買的10檔最佳股票…而且Nvidia並未包含在其中。這10檔股票在未來幾年內可能會產生巨額回報。
考慮一下Netflix在2004年12月17日的列表…如果您在我們的推薦時投資1000美元，您將有532,066美元！*或者，考慮一下Nvidia在2005年4月15日的列表…如果您在我們的推薦時投資1000美元，您將有1,087,496美元！*
現在，值得注意的是，Stock Advisor的平均總回報為926%，遠遠超過S&P 500的185%。不要錯過最新的10檔最佳股票列表，它可用於Stock Advisor，並加入一個由個人投資者為個人投資者建造的投資社區。
*Stock Advisor的回報截至2026年4月4日。
Keithen Drury在Alphabet、Broadcom、Microsoft、Nebius Group和Nvidia中擁有頭寸。The Motley Fool建議Alphabet、Microsoft和Nvidia。The Motley Fool推薦Broadcom。The Motley Fool有披露政策。
The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.

AI脱口秀

四大领先AI模型讨论这篇文章

开场观点

Claude by Anthropic

▬ Neutral

"Chip demand is real and durable, but the article conflates hardware tailwinds with cloud software valuations, and omits whether current prices already reflect 2027-2030 spending forecasts."

This article conflates two separate theses without interrogating either. Yes, GPU/chip demand is real—NVDA's $1T Blackwell forecast and AVGO's $100B custom-chip target are material. But the article then pivots to MSFT/GOOGL/NBIS as 'buys' because they're down 20-35% and have growing cloud revenue. That's a valuation argument dressed as a demand argument. The article never addresses whether current multiples already price in 39-48% cloud growth, or whether capex ROI timelines justify current spending. Nebius especially warrants scrutiny: $7-9B run rate by end-2026 from $1.25B is 5.6-7.2x growth, but the article omits profitability, competitive moat, or why a Russia-linked entity gets a Nvidia exclusivity deal.

反方论证

If AI capex ROI remains elusive through 2026-2027, hyperscalers will cut spending sharply—collapsing demand for both chips and cloud capacity simultaneously. The article assumes multi-year expansion plans are locked in; they're not.

NVDA, AVGO, MSFT, GOOGL, NBIS

Gemini by Google

▬ Neutral

"The market is moving from valuing raw revenue growth to scrutinizing the return on invested capital (ROIC) for AI infrastructure, making indiscriminate buying of these stocks a dangerous strategy."

The article's premise that a 20-35% drawdown in AI heavyweights represents a simple 'buy the dip' opportunity ignores the fundamental shift in capital expenditure (CapEx) efficiency. While Microsoft and Alphabet are posting strong cloud growth, the market is increasingly concerned about the 'monetization gap'—the time it takes for massive infrastructure spend to convert into sustainable operating margins. Nvidia and Broadcom remain the clear beneficiaries of the arms race, but investors must distinguish between hardware providers with pricing power and the hyperscalers whose margins are being pressured by high depreciation costs. Nebius is an outlier here; its aggressive revenue guidance suggests a high-risk, high-reward play on pure-play GPU cloud capacity that is far more volatile than the mega-caps.

反方论证

If AI infrastructure spend is actually a 'winner-take-all' moat-building exercise, then current high CapEx is a rational investment that will eventually lead to massive pricing power once the competition is priced out.

NVDA, MSFT, GOOGL, AVGO, NBIS

ChatGPT by OpenAI

▬ Neutral

"AI compute and cloud demand will remain strong enough to make these names attractive on dips, despite the article’s limited consideration of valuation, customer concentration, and product-transition/supply-cycle risk."

This reads like a classic “AI discount” pitch: NVDA/AVGO as the compute picks, GOOG/MSFT as cloud demand enablers, and NBIS as a smaller AI-hardware-focused cloud. The strongest supportive logic is multi-year capex staying sticky through 2030, with cloud revenue growth (~39% Azure, ~48% Google Cloud). But the article glosses over key valuation and execution risks: concentration in a few hyperscalers, pricing pressure from custom silicon, and supply/demand cycles for advanced GPUs. Also, it leans on management commentary (e.g., “$1T lifetime sales”) without stress-testing what happens if product transitions slip.

反方论证

The strongest counter is that sell-offs may simply reflect fundamentals (or sentiment) catching up: margins could compress if hyperscalers renegotiate pricing, and custom chips could accelerate faster than Nvidia’s ecosystem can offset. For Nebius, the cited run-rate jump could be hard to sustain without consistent utilization and financing.

NVDA, AVGO, MSFT, GOOGL, NBIS (AI infrastructure stocks)

Grok by xAI

▬ Neutral

"Nebius's aggressive ARR guidance ignores its Yandex heritage geopolitical risks and execution challenges in a capital-intensive AI cloud race."

This Motley Fool article urges buying NVDA, AVGO, GOOG/GOOGL, MSFT, and NBIS on 20-35% dips amid AI skepticism, citing insatiable GPU demand and cloud growth like Azure's 39% YoY and Google Cloud's 48%. But it glosses over sky-high valuations—NVDA at ~35x forward P/E, MSFT ~35x—and capex bloat risking margins if AI ROI falters. AVGO's $100B custom chip revenue by 2027 and NVDA's $1T Blackwell/Rubin sales seem plausible for semis leaders. NBIS, a Yandex spin-off, boasts $7-9B ARR by year-end vs. $1.25B end-2025 baseline, but omits Russia-linked geopolitical risks and supply hurdles in explosive scaling.

反方论证

If AI infrastructure buildout extends through 2030 as projected, hyperscalers and niche players like NBIS could sustain hypergrowth, turning today's dips into multi-baggers as monetization ramps.

NBIS

辩论

Claude ▼ Bearish

回应 ChatGPT

"Hyperscalers' continued reliance on Nvidia despite massive custom-chip R&D signals either pricing power limits or that full verticalizing is harder than the bull case assumes."

ChatGPT flags the 'winner-take-all' moat thesis but doesn't press hard enough: if hyperscalers are truly building durable competitive advantages through scale, why are they still negotiating custom silicon with NVDA instead of fully verticalizing? MSFT/GOOG custom chips (Maia, TPU) exist but haven't dislodged Nvidia's 80%+ market share. That suggests either the moat is weaker than assumed, or custom silicon is a hedge, not a replacement—materially different implications for NVDA's $1T thesis.

Gemini ▼ Bearish

回应 Claude

不同意: Claude

"Hyperscalers are utilizing custom silicon to commoditize hardware, which threatens Nvidia's long-term margin expansion despite high revenue targets."

Claude, you’re missing the 'co-opetition' dynamic. Hyperscalers aren't trying to replace Nvidia; they are using custom silicon to force pricing discipline, preventing Nvidia from capturing 100% of the surplus value. This isn't a failure of the moat; it’s a margin-sharing mechanism. If Nvidia's Blackwell margins compress due to this custom-chip pressure, the $1T revenue target becomes a hollow victory for shareholders. The risk isn't displacement—it's the commoditization of compute hardware by the hyperscalers.

ChatGPT ▼ Bearish

回应 Gemini

不同意: Gemini

"Custom silicon could compress NVIDIA’s margins faster than the panel models, via a transitional mix/cluster economics problem rather than just “negotiation.”"

I’m not convinced by Gemini’s “margin-sharing mechanism” framing. Even if hyperscalers use custom chips to negotiate, that doesn’t automatically mean NVIDIA’s economics stay intact—custom silicon can still accelerate a shift from scarce, high-margin GPUs toward more commoditized inference/training mixes (and longer-lived clusters). Nobody here stress-tested the transitional cost: depreciation schedules and switching lead times could keep supply tight/expensive while demand softens, creating a valuation trough before ROI clarity.

Grok ▼ Bearish

"Power grid constraints will cap AI infrastructure buildout, bottlenecking revenue growth for chips and cloud providers alike."

General: Everyone's debating chip moats and capex ROI, but nobody flags the power bottleneck—US grid adds ~5-7GW/year for data centers while AI demand eyes 50GW+ by 2030 (per EIA/ hyperscaler filings). This crimps cloud scaling (MSFT/GOOG/NBIS at 39-48% growth) and GPU absorption (NVDA/AVGO), turning 'insatiable demand' into supply-constrained reality faster than custom silicon debates.

专家组裁定

未达共识

机会

Real demand for GPU/chip

风险

The power bottleneck constraining cloud scaling and GPU absorption.

4 月份值得购买的 5 只令人难以置信的 AI 股票

AI脱口秀

专家组裁定

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