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Nvidia Stuns Wall Street With $500B AI Order, Analysts Expect Record 2026 Sales

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Nvidia Stuns Wall Street With $500B AI Order, Analysts Expect Record 2026 Sales

Nvidia, which reports fiscal Q3 results Wednesday, said CEO Jensen Huang has secured about $500 billion of combined 2025–2026 orders for current Blackwell and next‑year Rubin GPUs plus networking components, signaling sustained AI-infrastructure demand from hyperscalers including Google, Amazon, Microsoft and Meta. Analysts view the disclosure as a potential upside to 2026 revenue—possibly roughly $60 billion above prior estimates—and expect $1.25 EPS on $54.9 billion in Q3 revenue with Q4 guidance around $61.44 billion, reinforcing a stronger data‑center outlook. The company also finalized strategic investments—up to $10 billion in OpenAI equity tied to GPU purchases, $5 billion with Intel for compatibility and a $1 billion stake in Nokia—underscoring ecosystem entrenchment, though shares remain slightly below late‑October levels amid debate over the sustainability of hyperscaler AI spending.

Analysis

Nvidia disclosed CEO Jensen Huang has secured roughly $500 billion of combined orders for 2025 and 2026 covering current Blackwell GPUs, next-year Rubin GPUs and related networking components, a signal of sustained hyperscaler demand from customers cited in the article including Google, Amazon, Microsoft and Meta. Analysts cited in the piece interpret this backlog as carrying potential upside to 2026 revenue, roughly $60 billion above prior estimates, which directly upgrades the data-center revenue trajectory that underpins Nvidia's near-term earnings power. Street expectations heading into the fiscal Q3 print are $54.9 billion in revenue and $1.25 EPS with Q4 guidance modeled at $61.44 billion, and Nvidia has concurrently completed strategic ecosystem investments—up to $10 billion into OpenAI tied to GPU purchases, $5 billion with Intel for compatibility, and a $1 billion Nokia stake—to lock in demand and broaden end-market integration. These transactions both de-risk product adoption and increase revenue dependence on partner conversion and contractual terms. Despite the magnitude of disclosed orders, the shares trade slightly below late-October levels, reflecting investor debate over the sustainability and timing of hyperscaler AI spending; the key sensitivities are order conversion rates, cadence of shipments, and hyperscaler budget discipline. Near-term upside hinges on beats to the cited Q3/Q4 metrics and clearer disclosure of order convertibility, while execution and macro budget cycles remain principal risks.