저자: DanIves—제목·설명란에명시된출연자,소속은자막상확인어려우나Wedbush로알려짐 · 외국인
요약 보기
엔비디아 주가 5일간 6.5% 하락은 AI·기술주 전반의 '검은 구름'(심리 요인)에 따른 것으로, 펀더멘털 훼손이 아니다. 주요 불안 요인은 밸류에이션 피로, 실적 발표 전 차익실현, 금융여건 긴축, 중국 수출통제 등 지정학 리스크다. OpenAI 1000억 달러 조달 불확실성이 시장 리스크를 키웠으며, Ives는 자금은 조달될 것으로 보나 OpenAI의 장기 승자 여부엔 의문을 제기했다. 1월 27일 엔비디아 16% 급락(시총 약 5000억 달러 증발)을 Ives는 '황금 매수 기회'로 봤다. 딥시크 충격은 AI 인프라 수요 우려로 촉발됐으나 Ives는 미국 글로벌 대기업이 중국 스타트업으로 핵심 AI 인프라를 구축하지 않을 것이라 반박했다. 과거 Fed, 블랙웰 지연설, 도쿄 블랙먼데이 등 공포 때마다 매수 기회였다고 주장했다.
다듬은 글
Nvidia's stock is down today. Nvidia's stock falls 6.5% in 5 days, but Wolf calls it compelling again. Dan Ives discusses the black cloud hanging over the tech trade, specifically concerning Nvidia and the broader AI revolution. Nvidia's recent 6.5% pullback over 5 days reflects a broader a black cloud hanging over the tech and AI trade rather than a fundamental break in the company's story.
Investors are digesting near-term concerns such as valuation fatigue after a massive 2023 to 2025 run, profit taking ahead of earnings, tighter financial conditions, and lingering geopolitical and regulatory risks around AI chips, especially China exposure and US export controls. Dan Ives frames this cloud as sentiment driven, not structural.
The market is temporarily anxious about whether AI spending can keep accelerating at the pace priced into stocks. Wolf research's view that Nvidia is compelling again highlights the flip side. This step is making valuations more reasonable while Nvidia remains the clear backbone of the AI revolution with dominant GPUs, a widening software moat, CUDA AI platforms, and sustained hyperscaler demand.
In short, the stock is wobbling on macro and sentiment fears, but bulls see the pullback as resetting expectations rather than ending the AI supercycle. Here are the key takeaways. OpenAI's financing and competition. There's a significant question about OpenAI's $100 billion financing and how it affects the tech market.
Ives highlights competition from Google and Anthropic, noting their more stable investment models compared to OpenAI's dependency on other players. Coming to Nvidia's outlook, despite the challenges, Ives maintains a bullish outlook on Nvidia. However, he stresses that investors should pay attention to how the market reacts to financial data and ongoing issues, as these can affect Nvidia's trajectory.
He believes the $100 billion will be raised, but questions whether OpenAI will be a long-term winner in the AI space. Dan Ives argues that the current pressure on the AI trade is being driven less by Nvidia itself and more by uncertainty around OpenAI's ambitious $100 billion financing push, which has injected risk and skepticism into the broader tech market.
He contrasts OpenAI's capital-intensive, partnership-dependent model with competitors like Google and Anthropic, which benefit from more stable balance sheets and clearer long-term funding structures. While Ives believes the $100 billion will ultimately be raised, he questions whether OpenAI will emerge as a durable long-term winner in an increasingly crowded AI landscape.
Against this backdrop, he remains bullish on Nvidia, viewing it as a foundational supplier to the entire AI ecosystem, but cautions that near-term stock performance will hinge on how investors digest financial data, capital spending signals, and lingering macro and funding concerns that could temporarily influence Nvidia's trajectory.
. Dan Ives just called the Nvidia sell-off a golden buying opportunity. For the last 2 years, Nvidia has been one of the top-performing stocks in the entire market, thanks in large part to its critical role in the artificial intelligence AI movement. But on January 27th, shares of Nvidia cratered by 16%, wiping out roughly $500 billion of market capitalization from the company.
Dan Ives calls Nvidia's recent sell-off a golden buying opportunity because he views the sharp 16% drop on January 27th, an astonishing $500 billion loss in market value, as a sentiment-driven reset rather than a breakdown of Nvidia's AI leadership. After 2 years as one of the market's top-performing stocks, Nvidia had become priced for near perfection, leaving it vulnerable to profit-taking, macro uncertainty, and fears around AI spending sustainability.
Ives argues these concerns are short-term, noting that Nvidia remains the core infrastructure provider for the AI revolution with unmatched dominance in GPUs, a powerful software ecosystem, and continued demand from hyperscalers and enterprises. In his view, the pullback reflects temporary fear and valuation compression, creating an attractive entry point for long-term investors who believe the AI cycle is still in its early innings.
Why did Nvidia stock crash? Nvidia's sell-off is linked to a Chinese startup called Deep Seek. Nvidia's stock sold off sharply after reports tied the move to fears surrounding a Chinese AI startup called Deep Seek, which claims it can train powerful AI models using far fewer and less advanced chips than those supplied by Nvidia.
The market reaction wasn't about Nvidia's current earnings or demand, but about a perceived long-term risk. If Deep Seek's approach proves scalable, it could challenge the assumption that ever-increasing AI performance requires massive spending on Nvidia's high-end GPUs. This sparked worries about future AI capital expenditures, especially among hyperscalers, leading to a rapid sentiment shift and aggressive profit-taking in an already crowded trade.
Importantly, many analysts view the sell-off as fear-driven rather than fundamental, noting that Nvidia's ecosystem, software moat, and performance leadership remain far ahead of any single startup. No US Global 2000 is going to use a Chinese startup Deep Seek to launch their AI infrastructure and use cases.
At the end of the day, there is only one chip company in the world launching autonomous, robotics, and broader AI use cases, and that is Nvidia. Golden buying oppy. The Deep Seek-driven sell-off ignores a key reality of enterprise AI adoption. No major US Global 2000 company is going to base its core AI infrastructure, autonomous systems, or mission critical use cases on a Chinese startup given security, regulatory, and reliability constraints.
In practice, large enterprises and governments want proven hardware, software, and long-term support. And Nvidia remains the only chip company delivering a full stack platform from GPUs and networking to CUDA, AI frameworks, and solutions powering autonomous driving, robotics, data centers, and industrial AI.
The market's reaction reflects headline fear and extrapolation rather than how AI is actually deployed at scale, which is why bulls view the pullback as a golden buying opportunity. Nvidia's dominance in real-world production-level AI use cases is not being displaced, and demand for its technology continues to be driven by trusted Western enterprise and hyperscaler customers.
Bears missed the historical rally in tech stocks last 2 years, and will miss the next 2 years constantly waiting for the black swan to end the AI revolution trade. From Fed days, rumors of Nvidia Blackwell delays, Tokyo Black Monday, today no different with deep seek buying oppy. The repeated pullbacks in tech and AI over the past 2 years show a clear pattern.
Bears have consistently waited for a black swan that never materializes, missing a historic rally driven by real earnings, massive AI adoption, and accelerating capital spending. From Fed day volatility and rate fears to rumors of Nvidia Blackwell delays, Tokyo's so-called Black Monday, and now the deep seek headlines, each scare has sparked temporary sell offs that ultimately proved to be buying opportunities rather than trend reversals.
These episodes reflect sentiment shocks and positioning flushes, not a collapse in the AI revolution itself. For long-term investors, today looks no different. Short-term fear is colliding with long-term structural growth, reinforcing the view that the AI trade remains intact and that disciplined buying during these drawdowns has been the winning strategy. Revelation 14:9-a yo.
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