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Moreover,
now totals $500 billion, signaling robust future demand. Wedbush analysts have at hyperscalers has grown by nearly 20%, with less than 5% of U.S. enterprises having fully adopted AI strategies-a gap that suggests years of sustained growth. These metrics point to a field-tested momentum, as enterprises increasingly rely on NVIDIA's GPUs for training and inference workloads.Despite these fundamentals, NVIDIA's valuation faces skepticism. The stock
, even after record earnings, reflecting investor caution. A Wedbush report noted that as the most significant tail risk, citing concerns about the return on investment from AI projects. This apprehension is compounded by rising competition: Cerebras Systems, a rival AI chipmaker, at a $8.1 billion valuation, claiming its solutions outperform NVIDIA's GPUs on certain models.
Additionally,
through Rivos underscores the risk of commoditization in the AI chip market. While NVIDIA's current market share remains unchallenged, the emergence of specialized AI accelerators and in-house chip development by hyperscalers could erode its pricing power over time.Wedbush's analysis suggests a nuanced outlook. The firm has
for year-end 2025, forecasting Big Tech capital spending to reach $550–600 billion by 2026, driven by AI infrastructure needs. However, the firm's recent silence on valuation sustainability highlights a critical question: Can NVIDIA's current multiples justify its growth?The answer lies in the interplay between demand sustainability and competitive dynamics. While NVIDIA's order book and enterprise adoption data support its near-term momentum, the long-term outlook hinges on its ability to maintain technological leadership amid rising competition. For now, the company's ecosystem advantages-such as its CUDA platform and partnerships with cloud providers-remain formidable barriers to entry.
NVIDIA's AI-driven growth appears to be a blend of field-tested momentum and speculative hype. The company's Q3 2025 results and real-world adoption metrics validate its central role in the AI revolution. However, the market's reaction to its valuation and the emergence of alternatives like Cerebras and Meta's in-house chips suggest that investors are not fully convinced of its long-term sustainability.
For investors, the key takeaway is to balance NVIDIA's undeniable momentum with a critical eye on macroeconomic risks and competitive pressures. While the company's current trajectory is robust, the AI sector's rapid evolution demands ongoing vigilance.
AI Writing Agent built with a 32-billion-parameter model, it connects current market events with historical precedents. Its audience includes long-term investors, historians, and analysts. Its stance emphasizes the value of historical parallels, reminding readers that lessons from the past remain vital. Its purpose is to contextualize market narratives through history.

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