핵심요약

• NVIDIA 매출 2022년 269억 달러에서 최근 12개월간 2535억 달러로 10배 증가
• 빅테크 5사(메타, 알파벳, 아마존, 마이크로소프트, 오라클) 2023년 자본지출 4120억 달러 기록
• EPS 100% 증가로 투자자들 매수 지속
• AI 부문 성장 속도와 NVIDIA 주가 상승률 비교 분석 필요

도입

NVIDIA의 급성장과 빅테크 기업들의 대규모 자본지출은 AI 산업의 핵심 동력입니다. 그러나 이 관계에 대한 심층 분석이 부족한 상태에서 투자자들이 높은 주가 상승률에 의존하는 것은 위험할 수 있습니다. 특히 빅테크 기업들의 수익 구조와 실제 현금흐름의 괴리가 주목받고 있습니다.

본문 1: 빅테크 기업들의 자본지출 증가와 NVIDIA의 의존도 분석

빅테크 기업들의 2023년 자본지출이 4120억 달러에 달한 것은 AI 산업에 대한 집중 투자로 해석됩니다. 이 중 NVIDIA는 GPU 수요의 80% 이상을 차지하고 있어, 이 지출의 감소는 NVIDIA의 매출 감소로 직결될 수 있습니다. 특히 메타와 알파벳이 데이터센터 구축에 집중하고 있는 점에서, NVIDIA의 매출 구조는 더욱 빅테크 기업들의 투자 의사결정에 민감하게 반응할 전망입니다.

본문 2: 빅테크 기업들의 수익 구조와 투자자 심리의 괴리

빅테크 기업들의 EPS가 100% 증가한 것은 투자자들에게 긍정적인 신호로 작용했습니다. 그러나 이는 실제 현금흐름의 증가보다는 회계상의 이익 증가에 가깝습니다. 이는 빅테크 기업들이 AI에 대한 투자 비용을 회계 처리하는 방식과 관련이 깊습니다. 따라서 투자자들은 EPS 증가만으로 NVIDIA의 주가 상승을 예측하는 것은 위험할 수 있습니다.

본문 3: AI 산업의 장기적 전망과 NVIDIA의 위치

AI 산업은 아직 초기 단계에 있으며, NVIDIA는 현재 시장에서 압도적인 점유율을 가지고 있습니다. 그러나 경쟁사들의 기술 개발 속도와 정부 규제의 강화가 NVIDIA의 시장 점유율을 위협할 수 있습니다. 특히 반도체 공급망의 안정화와 새로운 기술의 등장이 NVIDIA의 경쟁력에 영향을 미칠 수 있습니다.

결론

NVIDIA의 급성장은 빅테크 기업들의 대규모 자본지출에 크게 의존하고 있습니다. 이는 투자자들에게 높은 수익을 가져올 수 있지만, 동시에 높은 리스크도 동반합니다. 따라서 투자자들은 빅테크 기업들의 실제 현금흐름과 AI 산업의 장기적 전망을 고려하여 투자 결정을 내리는 것이 중요합니다. NVIDIA의 주가 변동성은 빅테크 기업들의 투자 의사결정에 크게 의존할 전망입니다.

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원문 링크: https://www.fool.com/investing/2026/06/27/the-biggest-risk-to-nvidias-stock-price-that-almos/?.tsrc=rss

The Biggest Risk to Nvidia's Stock Price That Almost Nobody Is Talking About

The beating heart of the artificial intelligence (AI) boom is, without a doubt, Nvidia ( NVDA 1.42% ) . The chipmaker's graphics processing units (GPUs) -- the specialized chips that do the heavy math behind AI -- power the data centers that train and run ChatGPT, Claude, and the vast majority of AI models.

It's no surprise, then, that Nvidia has managed a multiyear win streak nearly unmatched in the modern era. In its fiscal 2022, the company booked $26.9 billion in revenue. Over the last 12 months, it booked nearly 10 times that -- $253.5 billion.

The stock has followed suit, up more than 600% since January 2022.

That kind of run can make an investor nervous. As unstoppable as Nvidia looks, there are real risks here, and most of them have been talked to death -- customer concentration, fierce competition, the physical limits of the AI build-out. But the one I think matters most still flies under the radar.

Nvidia's fortunes depend on big tech's spending spree

The AI boom is being fueled, in large part, by the capital expenditures (capex) -- the money a company sinks into long-term assets like buildings and equipment -- of just a handful of firms. Big tech names like Meta , Alphabet , Amazon , Microsoft , and Oracle are spending on a scale we've never seen. Last year alone, these five shelled out a combined $412 billion -- well over twice the total just two years prior.

That capex is the lifeblood of the AI economy . It flows to the construction firms building the data centers, the neoclouds operating them, and, most critically, to chipmakers like Nvidia.

So if that spending slows, Nvidia is in trouble. That much is obvious. What's not obvious is why it might.

Why big tech's profits look better than they really are

Investors have stomached the enormous spending these past few years for one simple reason: They've watched big tech's earnings grow right alongside it. You see earnings per share (EPS) -- a company's profit divided across its shares -- jump 100%, and you stop worrying about the bill. Why fret about spending when profits are exploding?

Here's the thing: There's a lag in the system, and that profit growth could soon look a lot smaller than it does today.

When Meta spends $50 billion on Nvidia chips , that doesn't hit the books as an expense all at once. It counts as capex, and Meta can spread the cost over time. Say, $10 billion a year for five years.

That's depreciation: spreading the cost of a big purchase across the years a company expects to use it. There's nothing shady about it. It's the same thing every business with trucks or factories has always done.

What's different is the scale and the timing. A company often doesn't start the depreciation clock until the equipment actually goes into service -- and given how long it takes to build an AI data center, that can be a long wait.

The depreciation wall is coming

We're in a stretch where revenue is climbing while the true cost of all those chips hasn't fully shown up in earnings yet -- a "golden window where everybody looks good," as one Morgan Stanley analyst put it. That period won't last. A wall of depreciation is coming, and when it lands, it could drag down big tech's reported earnings.

And that's when investors may start to care about the spending. Faced with shrinking earnings, the Metas and Amazons of the world could trim those massive capex plans. Fewer dollars spent means fewer chips ordered, and fewer chips is bad news for anyone holding Nvidia.

Nvidia's stock could fall before its sales do

Now, bulls will tell you Nvidia's order book is booked solid -- CEO Jensen Huang says he expects a $1 trillion backlog by the end of the year -- so there's not a real risk to Nvidia's sales coming any time soon. I don't discount that, but stock prices are based on where investors think things are headed. Which means that Nvidia shares can take a hit well before Nvidia's actual order book does. All that's required is for investors to believe big tech is likely to scale back in the coming years.

What investors should watch for

The real questions are when this happens and how big the hit will be -- and, I'll be honest, no one knows. You can see the uncertainty in Wall Street's own forecasts. Analysts' revenue targets for big tech over the next few years are fairly tight. Their depreciation estimates are all over the map.

None of this makes Nvidia a bad company -- it's a great one, selling every chip it can make . But Nvidia relies on capex spending continuing to expand. That could slow once investors start to see the true cost of that spending show up in income statements. For my money, the depreciation wall is a big reason I'd think twice before buying Nvidia shares today.

Source: https://www.fool.com/investing/2026/06/27/the-biggest-risk-to-nvidias-stock-price-that-almos/?.tsrc=rss