Nvidia is scheduled to report fourth-quarter financial results on Wednesday after the bell.
It’s expected to put the finishing touches on one of the most remarkable years from a large company ever. Analysts polled by FactSet expect $38 billion in sales for the quarter ended in January, which would be a 72% increase on an annual basis.
The January quarter will cap off the second fiscal year where Nvidia’s sales more than doubled. It’s a breathtaking streak driven by the fact that Nvidia’s data center graphics processing units, or GPUs, are essential hardware for building and deploying artificial intelligence services like OpenAI’s ChatGPT. In the past two years, Nvidia stock has risen 478%, making it the most valuable U.S. company at times with a market cap over $3 trillion.
But Nvidia’s stock has slowed in recent months as investors question where the chip company can go from here.
It’s trading at the same price as it did last October, and investors are wary of any signs that Nvidia’s most important customers might be tightening their belts after years of big capital expenditures. This is particularly concerning in the wake of recent breakthroughs in AI out of China.
Much of Nvidia’s sales go to a handful of companies building massive server farms, usually to rent out to other companies. These cloud companies are typically called “hyperscalers.” Last February, Nvidia said a single customer accounted for 19% of its total revenue in fiscal 2024.
Morgan Stanley analysts estimated this month that Microsoft will account for nearly 35% of spending in 2025 on Blackwell, Nvidia’s latest AI chip. Google is at 32.2%, Oracle at 7.4% and Amazon at 6.2%.
This is why any sign that Microsoft or its rivals might pull back spending plans can shake Nvidia stock.
Last week, TD Cowen analysts said that they’d learned that Microsoft had canceled leases with private data center operators, slowed its process of negotiating to enter into new leases and adjusted plans to spend on international data centers in favor of U.S. facilities.
The report raised fears about the sustainability of AI infrastructure growth. That could mean less demand for Nvidia’s chips. TD Cowen’s Michael Elias said his team’s finding points to “a potential oversupply position” for Microsoft. Shares of Nvidia fell 4% on Friday.
Microsoft pushed back Monday, saying it still planned to spend $80 billion on infrastructure in 2025.
“While we may strategically pace or adjust our infrastructure in some areas, we will continue to grow strongly in all regions. This allows us to invest and allocate resources to growth areas for our future,” a spokesperson told CNBC.
Over the last month, most of Nvidia’s key customers touted large investments. Alphabet is targeting $75 billion in capital expenditures this year, Meta will spend as much as $65 billion and Amazon is aiming to spend $100 billion.
Analysts say about half of AI infrastructure capital expenditures ends up with Nvidia. Many hyperscalers dabble in AMD’s GPUs and are developing their own AI chips to lessen their dependence on Nvidia, but the company holds the majority of the market for cutting-edge AI chips.
So far, these chips have been used primarily to train cutting-edge AI models, a process that can cost hundreds of millions dollars. After the AI is developed by companies like OpenAI, Google and Anthropic, warehouses full of Nvidia GPUs are required to serve those models to customers. That’s why Nvidia projects its revenue to continue growing.
Another challenge for Nvidia is last month’s emergence of Chinese startup DeepSeek, which released an efficient and “distilled” AI model. It had high enough performance that suggested billions of dollars of Nvidia GPUs aren’t needed to train and use cutting-edge AI. That temporarily sunk Nvidia’s stock, causing the company to lose almost $600 billion in market cap.
Nvidia CEO Jensen Huang will have an opportunity on Wednesday to explain why AI will continue to need even more GPU capacity even after last year’s massive build-out.
Recently, Huang has spoken about the “scaling law,” an observation from OpenAI in 2020 that AI models get better the more data and compute are used when creating them.
Huang said that DeepSeek’s R1 model points to a new wrinkle in the scaling law that Nvidia calls “Test Time Scaling.” Huang has contended that the next major path to AI improvement is by applying more GPUs to the process of deploying AI, or inference. That allows chatbots to “reason,” or generate a lot of data in the process of thinking through a problem.
AI models are trained only a few times to create and fine-tune them. But AI models can be called millions of times per month, so using more compute at inference will require more Nvidia chips deployed to customers.
“The market responded to R1 as in, ‘oh my gosh, AI is finished,’ that AI doesn’t need to do any more computing anymore,” Huang said in a pretaped interview last week. “It’s exactly the opposite.”
Judy Faulkner, Epic’s 82-year-old CEO, dressed for the occasion in a purple wig with neon green shoes and an iridescent vest, reminiscent of the fictional character Buzz Lightyear from the “Toy Story” franchise.
At the science fiction-themed event, Faulkner told the crowd that Epic has roughly 200 different AI features in development that aim to assist patients, clinicians and insurers.
“We are combining the intelligence and curiosity of the human being with the investigative capabilities of gen AI,” Faulkner said, in front of thousands of health-care executives packed into an 11,400-seat underground auditorium.
Epic, one of the largest private technology companies in the country, is best known for its electronic health record, or EHR, software. An EHR is a digital version of a patient’s medical history that’s updated by doctors and nurses, and the technology is integral to the modern U.S. health-care system.
Epic’s software, which competes with Oracle Health (formerly Cerner), is used by 280 million Americans, according to the company. Many patients know of Epic because of its user portal called MyChart.
Last week, Epic announced MyChart Central, which will allow patients to log in to MyChart with just one set of credentials, rather than needing a username and password for each health system they visit. It’s equally helpful for health-care organizations, Faulkner said.
“You’ll spend less time handling patient calls and resetting passwords,” she said in her keynote on Tuesday. “Demographic changes like address need to be added only once.”
A new addition to the MyChart portal is the always-on Emmie assistant, which the company said will be able to answer questions about lab results, propose appointment times and suggest relevant screenings that patients can discuss with their doctor.
During Epic’s three-hour presentation, Faulkner and other executives introduced Emmie as well as other AI assistants the company calls Art and Penny, highlighting new capabilities that are coming in the next year and beyond.
Health-care executives attend UGM 2025.
Courtesy of Epic
The Art assistant is intended for clinicians, and is meant to act as an active AI digital colleague, the company said. Art will be able to anticipate information that a doctor might need, for instance, and can pull up information like blood pressure trends, update a patient’s family history and place orders.
The company also said Art will be able to draft clinical notes, which was one of the most highly anticipated announcements ahead of the conference. AI-powered clinical documentation tools, which are often called AI scribes, can take notes on patient visits in real time as doctors record their encounters, with a patient’s consent.
AI scribes have exploded in popularity as health-care executives search for solutions to help reduce staff burnout and daunting administrative workloads. Some startups in the space, including Abridge and Ambience Healthcare, have raised hundreds of millions of dollars from investors.
Epic said its AI charting tool is being built in collaboration with Microsoft. Epic and Microsoft have been working closely together for roughly two decades, and Microsoft’s DAX Copilot product is already a popular offering within the AI scribing market.
“We’re proud to be collaborating with Epic to explore how we can bring our core Dragon ambient AI technology to Epic’s new AI Charting capability to further improve care delivery,” Joe Petro, corporate vice president of Microsoft Health & Life Sciences said in a statement.
Epic’s Penny assistant is designed to help with revenue cycle management and other administrative needs, such as generating appeal letters for insurance claims that get denied. It can also help speed up medical coding by serving up suggestions, Faulkner said. Those two features are already live.
“With all the challenges health-care organizations are facing, we need to make sure our clinicians and our organizations are strong and doing well in order to be able to take care of patients,” Faulkner said.
Epic closed out its executive address by teasing new AI capabilities that are coming to Cosmos, which is a deidentified patient dataset clinicians can use to conduct research. Health systems have to opt-in to participate in Cosmos, and the database currently includes information from more than 1,760 hospitals and 300 million patients.
Epic said it’s building a set of proprietary foundation models, called Cosmos AI, based on this data. The company is still evaluating different applications of the models, and launched the Cosmos AI Lab to help researchers and data scientists learn more.
Executives said the models could be used to predict a timeline of a patient’s potential medical events, like whether they’re a readmission risk or could eventually experience a heart attack.
“We’re finding that it continues to improve as it sees more patients,” said Seth Hain, a senior vice president of research and development at Epic. “Having only used 8 billion encounters so far, we’re just getting started.”
The logo of Japanese company SoftBank Group is seen outside the company’s headquarters in Tokyo on January 22, 2025.
Kazuhiro Nogi | Afp | Getty Images
Shares of SoftBank Group plunged as much as 9.17% Wednesday, as technology stocks in Asia declined, tracking losses in U.S. peers overnight.
The Japanese tech-focused investment firm saw shares drop for a second consecutive session, following its announcement of a $2 billion investment in Intel. Intel shares rose 6.97% to close at $25.31 Tuesday stateside.
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SoftBank Group shares
Other Japanese tech stocks also declined, with semiconductor giant Advantest falling as much as 6.27%. Meanwhile, shares in Renesas Electronics and Tokyo Electron were last seen trading 2.46% and 0.75% lower, respectively.
Technology companies in South Korea, Taiwan and Hong Kong, also fell after U.S. tech stocks dropped overnight spurred by declines in artificial intelligence darling Nvidia‘s shares.
U.S. Commerce Secretary Howard Lutnick is considering the federal government taking equity stakes in semiconductor companies that get funding under the CHIPS Act for building plants in the U.S, sources familiar with the matter told Reuters. The U.S. CHIPS and Science Act seeks to boost the country’s semiconductor industry, scientific research and innovation.
Shares of Taiwanese chip company TSMC and manufacturer Hon Hai Precision Industry — known globally as Foxconn — declined 1.69% and 2.16%, respectively. TSMC manufactures Nvidia’s high-performance graphics processing units that help power large language models, while Foxconn has a strategic partnership with Nvidia to build “AI factories.”
Meanwhile, South Korean tech stocks mostly fell with shares of chipmaker SK Hynix down 3.33%. Samsung Electronics, however, rose 0.75%.
TSMC, Samsung and SK Hynix are among companies that have received funding under the CHIPS Act.
Over in Hong Kong, the Hang Seng Tech index lost 0.87% in early trade.
CEO of Palantir Technologies Alex Karp attends the Pennsylvania Energy and Innovation Summit on the campus of Carnegie Mellon University in Pittsburgh, Pennsylvania on July 15, 2025.
Andrew Caballero-reynolds | Afp | Getty Images
Palantir‘s stock slumped more than 9% on Tuesday, falling for a fifth straight day to continue its pullback from all-time highs.
The artificial intelligence software provider’s stock has slid more than 15% over the last five trading sessions, after a stellar earnings report earlier this month propelled shares to all-time highs. The report was Palantir’s first-ever $1 billion revenue quarter.
Tuesday’s dip coincided with a broader market pullback.
Palantir is the most significant gainer to date in the S&P 500 in 2025, up more than 100%.
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Shares have more than doubled as the company benefits from ongoing AI enthusiasm, scooping up government contracts with President Donald Trump pushing to overhaul agencies.
Palantir’s ascent has pushed the company into a list of top 10 U.S. tech firms and 20 most valuable U.S. companies, while also making shares incredibly expensive to own. Its forward price-to-earnings ratio, which tracks future earnings relative to share price, has soared past 245 times.
By comparison, technology giants such as Microsoft and Apple carry a P/E of nearly 30 times and rake in significantly greater quarterly revenues. Meta‘s and Alphabet‘s P/E ratios hover in the 20s.