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Nvidia CEO Jensen Huang Downplays AI Bubble Concerns: This Is "Very Different"

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Nvidia CEO Jensen Huang Downplays AI Bubble Concerns: This Is "Very Different"

Nvidia reported a blockbuster fiscal third quarter with revenue of $57.0 billion (+62% YoY) and data‑center revenue of $51.2 billion (+66% YoY), net income of $32 billion (+65% YoY), and management guiding to another substantial sequential revenue increase as Blackwell systems ramp; the stock rose about 5% after hours. CEO Jensen Huang dismissed AI bubble concerns, arguing demand is structural and driven by three concurrent platform shifts—CPU to GPU acceleration, widespread deployment of generative‑AI models that create persistent inference demand, and the emergence of agentic/physical AI—which helps explain an outsized order book. CFO Colette Kress said Nvidia has visibility to roughly $0.5 trillion in Blackwell and Rubin revenue through end‑2026, and while the shares trade at a rich ~45x P/E, management and analysts view that valuation as justified given the rapid growth and broader implications for cloud providers and AI infrastructure suppliers.

Analysis

Nvidia reported a fiscal third quarter revenue of $57.0 billion, up 62% year-over-year, with data-center revenue of $51.2 billion (+66% YoY) and net income of $32 billion (+65% YoY); the stock rose roughly 5% in after-hours trading after results and management commentary alleviated short-term bubble concerns. Management guided to another substantial sequential revenue increase in Q4 as Blackwell-based systems ramp, and CFO Colette Kress disclosed visibility to roughly $0.5 trillion in Blackwell and Rubin revenue through the end of calendar 2026, underscoring a multi-year demand backlog. CEO Jensen Huang framed demand as structural, citing three simultaneous platform shifts—CPU-to-GPU acceleration, broad deployment of generative-AI models that create persistent inference demand, and the emergence of agentic/physical AI—which helps explain an outsized order book and continued hyperscaler prioritization of AI spend. The shares trade at about 45x reported earnings; while the article characterizes that as a fair price given growth, valuation remains elevated and execution risk (product ramps, sustained cloud capex) and any slowdown in hyperscaler spending would materially affect the investment case.