Surging Nvidia Stock Keeps Drawing In More Believers
The chip company that is cashing in on the market’s artificial-intelligence obsession seems to many investors like an unstoppable force
5 min
Nvidia ’s historic run is minting profits for investors big and small . Many are betting the boom is just beginning.
They are piling into trades that the chipmaker’s shares, which have more than tripled over the past year , are headed still higher. Some have turned to the options market to look for ways to turbocharge their bets on artificial intelligence after a blockbuster earnings report sent the stock up 17% over the past two days.
The exuberance reflects hope that the company is the vanguard of wide adoption of artificial intelligence—and an intense fear of missing out among investors who have sat on the sidelines while the company’s valuation has eclipsed $2 trillion .
With the help of Nvidia, stocks have stormed into 2024 . The S&P 500, which has chalked up fresh records in recent weeks, is up 6.7%. That is the index’s second-best performance for this time period over the past 10 years. The gains were only surpassed by an 11% increase in 2019.
Nvidia has contributed to about a quarter of those gains, according to S&P Dow Jones Indices.
The Nasdaq, too, is up 6.6% this year and neared a record Friday. The tech-heavy index has been boosted by Nvidia, which this week tacked on $277 billion in additional market value, along with six other tech titans collectively known as the Magnificent Seven.
The Dow Jones Industrial Average is up 3.8% this year and has hit repeated records in recent weeks.
“You look at these numbers and what this company’s done—it’s almost without precedent,” said Mike Ogborne, founder of San Francisco-based hedge fund Ogborne Capital Management, who counts Nvidia among his top five biggest holdings . “It is nothing short of amazing.”
Ogborne compared AI with the launch of the internet more than two decades ago, which kick-started a technology craze that lasted years.
“It’s exciting,” Ogborne said. “It’s great for America.”
Unfazed by questions about AI
Tamar June in Reno, Nev., is one investor along for Nvidia’s furious stock-market ascent. Since the 1990s, the 61-year-old software-company chief executive has been buying shares of tech firms, including Apple , Microsoft , Cisco, Intel and Oracle . June had been familiar with Nvidia for some time but in recent years kept reading about the chip company in the news. She liked that it was profitable and growing.
June decided to purchase some shares in 2022 at about $260, then watched the stock erase more than half of its value later that year. She held on, knowing that Nvidia’s graphics processing units were in high demand for cloud computing. Then, an AI frenzy hit the stock market in 2023, sending Nvidia’s stock soaring.
Now, Nvidia shares are closing in on $800, and June is looking for opportunities to buy more. She isn’t fazed by worries that the AI boom is bound to come crashing down. June experienced the bursting of the dot-com bubble and the 2008 financial crisis—and watched stocks bounce back to new highs.
“I think it’s still in the beginning stages,” June said of AI developments. “There’s still a lot of headroom for technology because our whole future depends on it.”
$20 billion in options
A herd of investors chased Nvidia while it raced toward its $2 trillion valuation.
At Robinhood Markets , Nvidia was the most purchased stock by customers on a net basis and received the heaviest notional trading volumes over the past month, according to Stephanie Guild, head of investment strategy at the digital brokerage.
The rise drove many traders to pile into the company’s options, a risky corner of the market notorious for boom-and-bust trades.
Nvidia has also morphed into one of the most popular trades in this market, with traders placing more than $20 billion in stock-options bets tied to the company over the past week, according to Cboe Global Markets data. That was more than what they spent on Tesla , Meta Platforms , Microsoft, Apple, Amazon and Alphabet combined.
Call options, contracts that confer the right to buy shares at a specific price, were particularly popular. And many of the trades appeared to suggest that investors were fearful of missing out on bigger gains to come. Some of the most active trades Friday were calls pegged to the shares jumping to $800 or $850, up from their closing price of $788.17. Betting against the shares has been a losing game , leading many investors to throw in the towel on bearish wagers.
The values of many of these options bets exploded while Nvidia soared, rewarding those who piled in. The big gains also enticed others to join in the trades while the stock’s rally continued.
“There’s a snowball effect,” said Henry Schwartz, a vice president at exchange-operator Cboe Global Markets, of the options activity surrounding Nvidia.
Ahead of the tech behemoth’s earnings report Wednesday, options pegged to the shares jumping to $1,300 —around double where they were trading at the time—were some of the most popular trades.
And for some investors, the 16% one-day jump in Nvidia’s share price Thursday wasn’t enough. They sought even bigger returns and piled into several niche exchange-traded funds that offer magnified exposure to Nvidia stock.
The GraniteShares 2x Long NVDA Daily ETF has taken in almost half a billion dollars from investors on a net basis since launching late in 2022. The fund’s shares have more than doubled in 2024 and have surged nearly 650% since inception.
There have been few signs of profit-taking so far. Investors added a net $263 million to the fund in the past month. The fund’s cousin, which turbocharges bearish bets against Nvidia, has been much less popular.
The euphoria surrounding Nvidia has spread to other stocks, too. Shares of Super Micro Computer , a much smaller company worth less than $50 billion, popped more than 30% Thursday after Nvidia’s earnings report. Traders spent more than $5 billion on options tied to the company, more than what they spent on Tesla this week. Tesla is worth about 13 times as much as the company.
Software that is eating the world
Nvidia’s continued, rapid ascent has stunned even early bulls on semiconductors and generative AI.
Atreides Management founder Gavin Baker, who started covering Nvidia as an analyst at Fidelity in 2000, reminded investors in his Boston hedge fund in an early 2021 letter of Marc Andreessen ’s adage that software was eating the world. “Today, AI is replacing software,” he wrote.
Atreides started buying Nvidia shares in the fourth quarter of 2022, according to regulatory filings.
The wager proved profitable. But as Nvidia shares kept soaring, Baker started selling. Atreides was out of Nvidia by the end of the second quarter of 2023. “This has been a painful mistake,” Baker wrote in a June 2023 letter to his clients, when Nvidia was trading north of $420 a share.
Atreides’s stake in competitor Advanced Micro Devices has helped alleviate the pain from missing out on larger gains. The firm made nearly a quarter billion last year alone on AMD, which it continues to hold along with several other related bets.
Michael Hannosh, a 20-year-old college student in Chicago, said he first purchased shares of Nvidia in August 2022, when the stock traded below $180. Nvidia was one of his first-ever stock purchases. He had built a custom computer for videogaming and used a lot of Nvidia parts.
Hannosh said he kept the shares until last March, then sold them for a roughly 30% profit. He later bought a few more shares at about $230 and sold them over the course of the next several days at a profit.
The shares have tripled since.
“It’s blown my f—ing mind to bits. It’s insane,” said Hannosh. “I really wish I held it, obviously.”
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Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
4 minA sharp technology sell-off has exposed a new anxiety on global markets: whether the enormous borrowing behind the artificial-intelligence infrastructure boom can generate sufficient returns as interest rates rise and Chinese competition intensifies.
The artificial-intelligence investment boom has powered technology shares, semiconductor manufacturers and data-centre operators to extraordinary heights. Last week, investors were given a reminder that much of this expansion is being built with borrowed money.
The technology-heavy Nasdaq Composite fell 4.5 per cent over the week ended October 16, its weakest performance since late June. Semiconductor shares suffered an even deeper correction, with the Philadelphia Semiconductor Index losing about 11.4 per cent.
The selling spread quickly through global markets. Micron Technology fell 14.6 per cent over the week, while South Korea’s Samsung Electronics and SK Hynix dropped approximately 18 per cent and 24 per cent respectively.
This was more than a routine bout of profit-taking. Investors were reassessing three interconnected risks: higher interest rates, the rapidly expanding debt burden attached to AI infrastructure and the prospect of stronger competition from Chinese memory-chip manufacturers.
The debt behind the AI build-out
Artificial intelligence requires a physical infrastructure network of enormous scale. Data centres must be built, advanced processors purchased, power supplies secured and cooling systems installed before customers begin generating meaningful revenue from them.
Technology companies are increasingly supplementing their own cash with corporate bonds, syndicated loans, equipment leases, private credit and project-level financing.
JPMorgan describes the emerging funding model as a combination of conventional corporate borrowing and project finance tied to individual data-centre assets. In Australia, the Reserve Bank estimates that syndicated loans accounted for approximately three-quarters of data-centre financing during 2025 and 2026 to date.
The numbers are becoming large enough to affect broader credit markets. The Federal Reserve Bank of Dallas has cited Wall Street estimates suggesting AI-related investment-grade bond issuance could approach US$300 billion in 2026 alone.
That borrowing is not automatically problematic. Debt can be an efficient way to finance long-lived infrastructure when future revenue is sufficiently predictable. The concern is that AI technology, customer demand and computing economics are changing much faster than the repayment schedules attached to the assets.
A data centre financed today may carry debt for years. Investors must therefore make assumptions about future utilisation rates, electricity prices, chip performance, customer concentration and the amount businesses will ultimately pay for AI computing.
When interest rates rise, those assumptions become less forgiving.
Inflation changes the calculation
September’s US inflation data intensified the pressure. Consumer prices increased 3.7 per cent over the year, ahead of market expectations and up from 3.4 per cent in August.
The hotter reading reduced confidence that interest rates would fall quickly and pushed bond yields higher. That matters particularly for companies whose valuations depend on profits expected well into the future, as well as highly leveraged infrastructure operators that may need to refinance.
CoreWeave has emerged as a closely watched test case. The specialist cloud-computing company has accumulated substantial debt and lease obligations to build AI capacity, while relying on a concentrated group of large technology customers.
Its shares fell sharply during the sell-off, while the cost of insuring its debt against default climbed. CoreWeave has argued that its contracted backlog more than covers its obligations and that financial markets do not always understand its business model. Nevertheless, its securities have become a proxy for investor confidence in debt-funded AI infrastructure.
Oracle, another major investor in AI computing capacity, fell 8.8 per cent in Friday trading, while CoreWeave dropped 15.5 per cent.
The question is shifting from how much AI infrastructure can be built to how profitably it can be operated.
China adds another source of pressure
Interest rates were not the only catalyst. Reports of advances by Chinese memory-chip producer ChangXin Memory Technologies raised concerns that lower-cost Chinese products could increase competition across the global semiconductor industry.
Memory chips are essential to AI systems, but the industry is historically cyclical. Periods of tight supply and high pricing can encourage rapid investment, eventually producing oversupply and falling margins.
The prospect of a well-funded Chinese competitor expanding its technological capabilities unsettled investors in Samsung, SK Hynix and Micron. It also demonstrated that AI-related demand does not insulate chipmakers from conventional competitive pressures.
That combination—slower rate cuts, more expensive financing and potentially cheaper supply—challenged the assumption that every company exposed to AI would enjoy continually expanding margins.
A reset rather than the end of the boom
The sell-off does not establish that the AI boom is ending. Demand for computing power remains strong, the largest technology companies continue to generate formidable cash flows and many infrastructure projects are backed by long-term customer contracts.
What has changed is the market’s willingness to overlook the price and financing structure of that growth.
The most resilient companies are likely to be those able to fund investment from operating cash flow, secure long-duration customers and demonstrate that new capacity will earn returns comfortably above its financing costs.
More speculative operators may face greater scrutiny, particularly where debt is expensive, customers are concentrated or expected revenue depends on demand that has not yet materialised.
For Australian investors, the lesson extends beyond US technology shares. Local data-centre operators, infrastructure funds, electricity suppliers and property groups are increasingly exposed to the same investment cycle.
Artificial intelligence may remain one of the defining growth themes of the decade. But last week’s correction showed that enthusiasm for the technology does not eliminate financial discipline.
The next stage of the AI boom will be judged not only by computing power, model performance or demand for chips, but by something more traditional: whether the assets being financed can generate enough cash to repay the money borrowed to build them.
Fact box
Nasdaq Composite: Down 4.5 per cent for the week ended October 16, 2026
Philadelphia Semiconductor Index: Down approximately 11.4 per cent
Micron Technology: Down approximately 14.6 per cent
Samsung Electronics: Down approximately 18 per cent
SK Hynix: Down approximately 24 per cent
US September inflation: 3.7 per cent annually
Estimated 2026 AI-related investment-grade issuance: Approximately US$300 billion
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