Nvidia Stock Climbs as Strong Earnings Calm Fears of an “AI Bubble”

Nvidia has once again delivered eye-catching financial results, reassuring investors who had grown uneasy about the massive spending boom around artificial intelligence.

For the quarter ending in October, the chipmaker reported $57 billion in revenue, a 62% jump from last year, fueled almost entirely by exploding demand for its AI data-center hardware. Sales from that segment alone surged 66% to over $51 billion.

Nvidia also forecast fourth-quarter revenue of around $65 billion, beating Wall Street’s expectations and sending its share price up roughly 4% in after-hours trading.

CEO Jensen Huang, celebrating another blockbuster performance, said demand for the company’s newest Blackwell AI systems was “off the charts” — and that cloud providers had already bought up all available GPUs.

“There’s been a lot of talk about an AI bubble,” Huang said. “From where we stand, we see something very different.”

A Critical Moment for AI Stocks

As the world’s most valuable company, Nvidia is widely viewed as the heartbeat of the AI boom, and its results were being watched more closely than ever.

The broader market has wobbled in recent days, with the S&P 500 falling nearly 3% in November as investors question whether AI companies are becoming overvalued. Some analysts have drawn comparisons to the dot-com bubble of the late 1990s, when internet hype sent tech valuations soaring — before a painful crash wiped out companies and personal savings.

But Nvidia’s performance continues to defy bubble concerns.

LPL Financial strategist Adam Turnquist said the real question wasn’t if Nvidia would beat expectations — but by how much.
And Hargreaves Lansdown analyst Matt Britzman said that while some corners of the AI market look overheated, Nvidia isn’t one of them.

$500 Billion in AI Chip Orders — and More Coming

Huang has previously predicted Nvidia would receive $500 billion in AI chip orders through next year. Investors were eager for details, and the company didn’t disappoint.

CFO Colette Kress told analysts that Nvidia expects to take on even more orders beyond the already announced half-trillion-dollar pipeline.

However, Kress did voice frustration over U.S. export restrictions that prevent Nvidia from selling high-end AI chips to China — one of the company’s most important markets. She argued that the U.S. must keep Chinese developers within its technological sphere of influence.

Still, she emphasized that Nvidia is committed to working with both U.S. and Chinese regulators.

Nvidia Steps Into Saudi Arabia’s AI Ambitions

On the same day, Huang appeared at the U.S.–Saudi Investment Forum alongside Elon Musk. The two announced plans for a massive Saudi data-center facility that will run on hundreds of thousands of Nvidia GPUs. Musk confirmed that his AI startup, xAI, will be the center’s first major customer.

Meanwhile, The Wall Street Journal reported the U.S. government has approved the sale of up to 70,000 Nvidia AI chips to companies in Saudi Arabia and the UAE, reversing an earlier restriction.
The deal reportedly followed discussions between former President Donald Trump and Saudi Crown Prince Mohammed bin Salman during the prince’s visit to Washington.

Last month, Nvidia became the first company in history to reach a valuation of $5 trillion.

A Tech Industry Throwing Billions at AI

Big Tech continues pouring extraordinary sums into artificial intelligence. Recent earnings from Meta, Microsoft, and Alphabet show soaring budgets for chips, servers, and data-center expansion.

Google CEO Sundar Pichai recently warned that while AI investment is “extraordinary,” some of the spending frenzy shows “elements of irrationality.”

Economist Simon French echoed this sentiment, saying that the concern is less about hugely profitable leaders like Nvidia, and more about the many unprofitable AI startups being propped up by hype — a dynamic reminiscent of the dot-com era.

A Tightly Woven Web of AI Deals

Nvidia sits at the center of an increasingly interconnected network of partnerships involving OpenAI, Anthropic, xAI, and other major players.

This tight ecosystem has drawn scrutiny because of its circular nature.

For example, Nvidia has committed to investing $100 billion in OpenAI, and in turn, OpenAI and other AI firms are spending heavily on Nvidia chips.

Tech investor Eileen Burbidge said this loop of companies investing in each other — often with Nvidia as the central hub — is driving some concern among regulators and analysts.

“There are maybe 10 to 20 companies engaged in these deals, and the money just circulates among them,” she said.