The AI Supercycle Isn’t Slowing Down, and Nvidia’s Compute Moat Just Got Deeper.

Nvidia shares dropped nearly 6% this week on AI funding fears, yet the company's own financing web stretches to hundreds of billions in commitments that even its CEO calls circular. Here is why that tension shapes every bet on the…

Published October 16, 2026, 10:45am ET · 3 min read

A close-up, high-angle shot shows several white rectangular chips, each bearing the black NVIDIA logo and a stylized '@' symbol. They are arranged in a grid-like pattern, slightly tilted, and integrated within a dark, complex electronic system featuring ribbed metallic components and intricate circuitry, against a black background.
Rows of NVIDIA chips illustrate the advanced computing power foundational to the ongoing AI supercycle, reinforcing the company's strong market position. © Courtesy of Nvidia

I have added to my NVIDIA (NASDAQ:NVDA | NVDA Price Prediction) position after every earnings report for more than a year. This week, chip stocks sold off in a global tech rout on AI funding worries. Shares slipped 5.75% over the past week to $217.23, a decline that puts the fundamentals in focus.

Why NVIDIA’s AI Factory Keeps Widening Its Lead

NVIDIA sells the entire AI stack: GPUs, CPUs, networking, systems and the CUDA software layer. Each generation broadens the gap. As the CEO put it, “Now, compute is revenue.” Demand still exceeds what NVIDIA can build. Management has “supply for 70%” growth in fiscal 2028, and “Our demand is much higher than that.”

Three Metrics Driving NVIDIA’s Lead

Growth keeps accelerating. Q2 FY2027 revenue reached $96.22 billion, up 105.8% YoY, the fourth consecutive quarter of faster growth. Over six quarters, EPS rose from $0.81 to $2.22 with a beat every time. Q3 guidance sits at $108.0 billion.

The advantage shows up in the margins. Non-GAAP gross margin hit 75.0%, return on equity runs 101.5% and return on invested capital 92.2%. Vera Rubin is worth $40 billion per gigawatt to NVIDIA, against $25 billion for Blackwell. Networking revenue rose 138% to $40.31 billion, so customers buy the whole stack.

The balance sheet adds flexibility. Debt-to-equity stands at 0.073 with interest coverage of 503x. NVIDIA returned $26.0 billion in Q2 alone and has $99.0 billion left on its buyback authorization. The dividend yield of 0.019% is small, so the return story rests on compounding, and the quarterly payout already rose from $0.01 to $0.25. At a P/E of 44, NVIDIA trades at that multiple for this engine.

How Rival Chipmakers Stack Up Against NVIDIA

Advanced Micro Devices (NASDAQ:AMD) grew Data Center revenue 107%, which I respect. Still, it trades at a P/E of 212 and a price-to-free-cash-flow of 137, against NVIDIA’s 54, and it guides to roughly 56% non-GAAP gross margin. NVIDIA pairs higher margins with a lower valuation multiple.

Intel (NASDAQ:INTC) posted 59% Data Center and AI growth, yet Intel Foundry lost $2.1 billion in the quarter and net debt runs 3.40 times EBITDA versus NVIDIA’s 0.006. Intel remains a turnaround story.

Risk I Track Every Quarter

The financing web worries me. NVIDIA has invested nearly $50 billion in frontier AI labs, carries guarantee obligations limited at $108.5 billion and supply commitments of $279 billion. Research labs backed by its balance sheet should make up “roughly a quarter of our business next year.” The CEO admits “some will call this circular financing.” If AI funding dries up, those commitments bite. China also sits outside the forward outlook entirely.

My thesis holds because the compute stays “fungible and durable” and goes to investment-grade customers or those backed by one. This week, the CEO said a key cloud partner doesn’t need a backstop.

Vera Rubin Ramp Sets Up NVIDIA’s Next Catalyst

Vera Rubin should be “the fastest product ramp in NVIDIA’s history”, with supply tight “at least through the end of fiscal year 28.” Customers waiting in line for each generation keep demand ahead of supply.

Contact [email protected] for any questions or corrections.

Alex Sirois

Alex Sirois is a financial writer with experience spanning both retail and institutional investing. He has written for InvestorPlace and held roles at BNY Mellon and Bernstein, giving him a perspective that bridges Main Street portfolios and Wall Street analysis.
Alex holds an MBA from George Washington University and has built his career across multiple industries, including e-commerce, education, and translation — a breadth of experience that informs how he breaks down complex financial topics for everyday investors. His writing is conversational, actionable, and grounded in long-term, buy-and-hold investing principles.
At 247 Wall St., Alex focuses on delivering analysis that is both accessible and useful, with a clear emphasis on helping readers make more informed decisions with their money.

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