Nvidia’s latest earnings made the AI boom look bigger than ever—and more constrained than ever. The chipmaker is racing toward a $100 billion quarter, but its own executives say the supply chain may be the factor setting the pace.
The starting point was a blockbuster second quarter: Nvidia reported $96.2 billion in revenue, up 106% from a year earlier, while data-center sales reached $89 billion. Profit more than doubled to $59.7 billion, a sign that AI infrastructure spending has remained ferocious rather than fading under Wall Street’s lofty expectations.1
Then came the jolt. On its earnings call, Nvidia projected 70% revenue growth for the next fiscal year—an unusual year-ahead forecast that eclipsed the roughly 44% growth analysts had anticipated. CEO Jensen Huang called the coming year “pretty extraordinary,” while arguing that AI has passed an economic threshold: “Now, compute is revenue.”2
The company also forecast $108 billion in revenue for the next quarter, which would put Nvidia in the rare club of companies generating more than $100 billion in quarterly sales. Yet the milestone comes with a catch: shortages and higher component prices are pushing up costs across both AI hardware and consumer GPUs.3
Huang’s explanation was blunt: “Our entire supply chain is challenged, and it’s everybody; everybody is really running flat out.” He said demand is greater than the 70% forecast, but supply capacity lets Nvidia “confidently deliver 70%.”4
That bottleneck has sharpened a second debate. Critics see Nvidia’s investments, guarantees and capacity arrangements with AI customers as potentially circular financing; Chief Financial Officer Colette Kress counters that the company is supporting proven technology leaders whose growth is constrained by compute, not customer demand. “We see it differently,” she said.5
Outside the earnings call, Elon Musk amplified Epoch AI Research’s claim that conventional GDP data miss much of Nvidia’s economic contribution—an optimistic macro reading that sits beside the more immediate question of whether chips, memory and financing can keep up.
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