Panic Selling Nvidia? Here’s Why the AI Blueprint Says That’s Your Biggest Mistake

NVIDIA (NASDAQ:NVDA | NVDA Price Prediction) has plunged 15% from its peak and closed at $200 yesterday. Multiple AI stocks have pulled back in the past week in the Broadcom (NASDAQ:AVGO)-led AI panic.

NVDA has now slipped below the $5 trillion mark as I write this. Reddit lit up with capitulation. Many investors believe the top is in, whereas others are holding out for the SpaceX and Anthropic IPOs before they capitulate. Either way, they seem to be moving on from NVDA stock. That may not be the right move.

Reason one, the AI buildout is still accelerating

NVIDIA reported Q1 FY2027 revenue of $81.61 billion, up 85.2% year over year, with Data Center alone delivering $75.25 billion, up 92%. Networking inside that segment grew 199%. Guidance for the next quarter sits at $91.0 billion, plus or minus 2%, and that excludes any China Data Center compute.

Jensen Huang called the AI factory buildout “the largest infrastructure expansion in human history”, and the order book backs him up. Supply commitments now stand at $119.0 billion. You don’t sign that paper if customers are pulling back. Hyperscalers account for roughly 50% of Data Center revenue, and the rest keeps widening into sovereign AI, enterprise, and industrial. The OpenAI deployment alone targets 10 gigawatts of NVIDIA systems, and CoreWeave (NASDAQ:CRWV) is building more than 5 gigawatts of AI factories by 2030. None of those decisions get unmade because Broadcom had a bad week.

Reason two, the moat keeps widening

Gross margin expanded to 75.0% from 60.8% a year earlier. Pricing power like that comes from the full stack underneath, CUDA, NVLink, InfiniBand, and Spectrum-X Ethernet, working together in a way nobody else replicates. Blackwell is ramping at full speed, Blackwell 300 is in production, and the Vera Rubin platform was announced with the Vera CPU for agentic AI. Dynamo 1.0 boosts Blackwell inference by up to 7x.

Profitability flows from this stack. Net income for the quarter hit $58.32 billion, up 210.63%. Free cash flow came in at $48.55 billion, and the full prior year produced $96.58 billion in free cash flow. Management is returning serious capital, with a new $80.0 billion buyback authorization approved in May and the quarterly dividend lifted from $0.01 to $0.25 per share.

Partnerships keep stacking up too: Google Cloud’s Vera Rubin A5X instances, Marvell on NVLink Fusion and silicon photonics, optics work with Coherent, Corning and Lumentum, T-Mobile and Nokia on AI-RAN and 6G, plus multiyear deals with Meta and Anthropic. The auto stack is filling in with Hyundai, Kia, Uber, BYD, Geely, Isuzu and Nissan all building on DRIVE Hyperion. That breadth is what makes the moat compound rather than just persist.

Reason three, why this dip is just noise

NVIDIA shipped zero H20 units to China last quarter against $4.6 billion a year ago, and Q2 guidance assumes no China Data Center compute revenue at all. The supply commitments cut both ways if AI capex ever softens, and multi-year cloud service commitments have climbed to $30.0 billion.

The company already absorbed a $4.5 billion H20 inventory charge a year ago and still grew 85%. Forward earnings work out to roughly 23 times, which for a business compounding net income at triple digits looks generous in hindsight.

A few months of selling is unlikely change what the AI factory looks like in 2030. Management returned roughly $20.0 billion in Q1 FY27 alone through buybacks and the dividend, with $38.5 billion still under the prior authorization before the new $80.0 billion approval stacked on top. That is the behavior of a board that thinks the stock is cheap, not one bracing for impact.

AI bulls should keep buying while the panic keeps offering a discount. The setup here is simple: accelerating AI factory buildout, expanding margins, a widening full-stack moat, and a capital return program that just got materially bigger. The risks are real but already priced and disclosed, China revenue is zeroed out of guidance, and the demand signal from hyperscalers, sovereigns, OpenAI and CoreWeave keeps getting louder. Panic selling NVIDIA into that backdrop is the mistake the AI blueprint warns against.