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For about a quarter century, Nvidia has been leading the revolution in computer graphics, becoming a beloved brand by gamers along the way.

Nvidia dominates the market for graphics processing units (GPUs), which it entered in 1999 with the GeForce 256. Gaming brought in over $9 billion in revenue for Nvidia last year despite a recent downturn.

But Nvidia’s latest earnings beat points to a new phenomenon in the GPU business. The technology is now at the center of the boom in artificial intelligence.

“We had the good wisdom to go put the whole company behind it,” CEO Jensen Huang told CNBC in an interview last month. “We saw early on, about a decade or so ago, that this way of doing software could change everything. And we changed the company from the bottom all the way to the top and sideways. Every chip that we made was focused on artificial intelligence.”

As the engine behind large language models (LLMs) like ChatGPT, Nvidia is finally reaping rewards for its early investment in AI. That’s helped to cushion the blow from broader semiconductor industry struggles tied to U.S.-China trade tensions and a global chip shortage. 

Not that Nvidia is immune to geopolitical concerns. In October, the U.S. introduced sweeping new rules that banned exports of leading-edge AI chips to China. Nvidia counts on China for about one-quarter of its revenue, including sales of its popular AI chip, the A100.

“It was a turbulent month or so as the company went upside down to reengineer all of our products so that it’s compliant with the regulation and yet still be able to serve the commercial customers that we have in China,” Huang said. “We’re able to serve our customers in China with the regulated parts, and delightfully support them.”

AI will be a major focus of Nvidia’s annual GTC developer conference taking place from March 20-23. Ahead of the conference, CNBC sat down with Huang at Nvidia’s headquarters in Santa Clara, California, to discuss the company’s role at the heart of the explosion in generative AI.

“We just believed that someday something new would happen, and the rest of it requires some serendipity,” Huang said, when asked whether Nvidia’s fortunes are the result of luck or prescience. “It wasn’t foresight. The foresight was accelerated computing.”

GPUs are Nvidia’s primary business, accounting for more than 80% of revenue. Typically sold as cards that plug into a PC’s motherboard, they add computing power to central processing units (CPUs) built by companies like AMD and Intel.

Now, tech companies scrambling to compete with ChatGPT are publicly boasting about how many of Nvidia’s roughly $10,000 A100s they have. Microsoft said the supercomputer developed for OpenAI used 10,000 of them.

Nvidia Founder and CEO Jensen Huang shows CNBC’s Katie Tarasov a Hopper H100 SXM module in Santa Clara, CA, on February 9, 2023.

Andrew Evers

“It’s very easy to use their products and add more computing capacity,” said Vivek Arya, semiconductor analyst for Bank of America Securities. “Computing capacity is basically the currency of the valley right now.”

Huang showed us the company’s next-generation system called H100, which has already started to ship. The H stands for Hopper.

“What makes Hopper really amazing is this new type of processing called transformer engine,” Huang said, while holding a 50-pound server board. “The transformer engine is the T of GPT, generative pre-trained transformer. This is the world’s first computer designed to process transformers at enormous scale. So large language models are going to be much, much faster and much more cost effective.”

Huang said he “hand-delivered” to ChatGPT maker OpenAI “the world’s very first AI supercomputer.”

Not afraid to bet it all

Today, Nvidia is among the world’s 10 most valuable tech companies, with a market cap of close to $600 billion. It has 26,000 employees and a newly built polygon-themed headquarters. It’s also one of the few Silicon Valley giants with a founder of 30 years still at the helm.

Huang, 60, immigrated to the U.S. from Taiwan as a kid and studied engineering at Oregon State University and Stanford. In the early 1990s, Huang and fellow engineers Chris Malachowsky and Curtis Priem used to meet at a Denny’s and talk about dreams of enabling PCs with 3D graphics.

The trio launched Nvidia out of a condo in Fremont, California, in 1993. The name was inspired by NV for “next version” and Invidia, the Latin word for envy. They hoped to speed up computing so much that everyone would be green with envy — so they chose the envious green eye as the company logo.

Nvidia founders Curtis Priem, Jensen Huang and Chris Malachowsky pose at the company’s Santa Clara, California, headquarters in 2020.

Nvidia

“They were one among tens of GPU makers at that time,” Arya said. “They are the only ones, them and AMD actually, who really survived because Nvidia worked very well with the software community, with the developers.”

Huang’s ambitions and preference for impossible-seeming ventures have pushed the company to the brink of bankruptcy a handful of times.

“Every company makes mistakes and I make a lot of them,” said Huang, who was one of Time magazine’s most influential people in 2021. “Some of them put the company in peril, especially in the beginning, because we were small and we’re up against very, very large companies and we’re trying to invent this brand-new technology.”

In the early 2010s, for example, Nvidia made an unsuccessful move into smartphones with its Tegra line of processors. The company then exited the space. 

In 1999, after laying off the majority of its workforce, Nvidia released what it claims was the world’s first official GPU, the GeForce 256. It was the first programmable graphics card that allowed custom shading and lighting effects. By 2000, Nvidia was the exclusive graphics provider for Microsoft’s first Xbox. In 2006, the company made another huge bet, releasing a software toolkit called CUDA.

“For 10 years, Wall Street asked Nvidia, ‘Why are you making this investment? No one’s using it.’ And they valued it at $0 in our market cap,” said Bryan Catanzaro, vice president of applied deep learning research at Nvidia. He was one of the only employees working on AI when he joined Nvidia in 2008. Now, the company has thousands of staffers working in the space.

“It wasn’t until around 2016, 10 years after CUDA came out, that all of a sudden people understood this is a dramatically different way of writing computer programs,” Catanzaro said. “It has transformational speedups that then yield breakthrough results in artificial intelligence.”

Although AI is growing rapidly, gaming remains Nvidia’s primary business. In 2018, the company used its AI expertise to make its next big leap in graphics. The company introduced GeForce RTX based on what it had learned in AI.

“In order for us to take computer graphics and video games to the next level, we had to reinvent and disrupt ourselves, change literally what we invented altogether,” Huang said. “We invented this new way of doing computer graphics, ray tracing, basically simulating the pathways of light and simulate everything with generative AI. And so we compute one pixel and we imagine with AI the other seven.”

‘Boom-or-bust cycle’

From the beginning, Huang was committed to making Nvidia a fabless chip company, or one that designs the product but contracts out production to others that have chip fabrication plants, or fabs. Nvidia keeps capital expenditure down by outsourcing the extraordinary expense of making the chips to Taiwan Semiconductor Manufacturing Company.

Taiwan Semiconductor Manufacturing Company’s U.S. office space in San Jose, CA, in 2021.

Katie Tarasov

Investors are right to be concerned about that level of dependence on a Taiwanese company. The U.S. passed the CHIPS Act last summer, which sets aside $52 billion to incentivize chip companies to manufacture on U.S. soil.

“The biggest risk is really U.S.-China relations and the potential impact of TSMC. If I’m a shareholder in Nvidia, that’s really the only thing that keeps me up at night,” said C.J. Muse, an analyst at Evercore. “This is not just a Nvidia risk, this is a risk for AMD, for Qualcomm, even for Intel.”

TSMC has said it’s spending $40 billion to build two new chip fabrication plants in Arizona. Huang told CNBC that Nvidia will “absolutely” use TSMC’s Arizona fabs to make its chips.

Then there are questions about demand and how many of the new use cases for GPUs will continue to show growth. Nvidia saw a spike in demand when crypto mining took off because GPUs became core to effectively competing in that market. The company even created a simplified GPU just for crypto. But with the cratering of crypto, Nvidia experienced an imbalance in supply and demand.

“That has created problems because crypto mining has been a boom-or-bust cycle,” Arya said. “Gaming cards go out of stock, prices get bid up, and then when the crypto mining boom collapses, then there is a big crash on the gaming side.”

Nvidia caused major sticker shock among some gamers last year by pricing its new 40-series GPUs far higher than the previous generation. Now there’s too much supply and, in the most recent quarter, gaming revenue was down 46% from a year earlier.

Competition is also increasing as more tech giants design their own custom-purpose chips. Tesla and Apple are doing it. So are Amazon and Google.

“The biggest question for them is how do they stay ahead?” Arya said. “Their customers can be their competitors also. Microsoft can try and design these things internally. Amazon and Google are already designing these things internally.”

For his part, Huang says that such competition is good.

“The amount of power that the world needs in the data center will grow,” Huang said. “That’s a real issue for the world. The first thing that we should do is: every data center in the world, however you decide to do it, for the goodness of sustainable computing, accelerate everything you can.”

In the car market, Nvidia is making autonomous-driving technology for Mercedes-Benz and others. Its systems are also used to power robots in Amazon warehouses, and to run simulations to optimize the flow of millions of packages each day.

Huang describes it as the “omniverse.”

“We have 700-plus customers who are trying it now, from [the] car industry to logistics warehouses to wind turbine plants,” Huang said. “It represents probably the single greatest container of all of Nvidia’s technology: computer graphics, artificial intelligence, robotics and physics simulation, all into one. And I have great hopes for it.”

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As Microsoft turns 50, Nadella sees future success built on ability to ‘win the new’

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April 4, 2025

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As Microsoft turns 50, Nadella sees future success built on ability to 'win the new'

Microsoft CEO Satya Nadella speaks during the Microsoft Build conference at Microsoft headquarters in Redmond, Washington, on May 21, 2024.

Jason Redmond | AFP | Getty Images

A half-century ago, childhood friends Bill Gates and Paul Allen started Microsoft from a strip mall in Albuquerque, New Mexico. Five decades and almost $3 trillion later, the company celebrates its 50th birthday on Friday from its sprawling campus in Redmond, Washington.

Now the second most valuable publicly traded company in the world, Microsoft has only had three CEOs in its history, and all of them are in attendance for the monumental event. One is current CEO Satya Nadella. The other two are Gates and Steve Ballmer, both among the 11 richest people in the world due to their Microsoft fortunes.

While Microsoft has mostly been on the ascent of late, with Nadella turning the company into a major power player in cloud computing and artificial intelligence, the birthday party lands at an awkward moment.

The company’s stock price has dropped for four consecutive months for the first time since 2009 and just suffered its steepest quarterly drop in three years. That was all before President Donald Trump’s announcement this week of sweeping tariffs, which sent the Nasdaq tumbling on Thursday and Microsoft down another 2.4%.

Cloud computing has been Microsoft’s main source of new revenue since Nadella took over from Ballmer as CEO in 2014. But the Azure cloud reported disappointing revenue in the latest quarter, a miss that finance chief Amy Hood attributed in January to power and space shortages and a sales posture that focused too much on AI. Hood said revenue growth in the current quarter will fall to 10% from 17% a year earlier

Nadella said management is refining sales incentives to maximize revenue from traditional workloads, while positioning the company to benefit from the ongoing AI boom.

“You would rather win the new than just protect the past,” Nadella told analysts on a conference call.

The past remains healthy. Microsoft still generates around one-fifth of its roughly $262 billion in annual revenue from productivity software, mostly from commercial clients. Windows makes up around 10% of sales.

Meanwhile, the company has used its massive cash pile to orchestrate its three largest acquisitions on record in a little over eight years, snapping up LinkedIn in late 2016, Nuance Communications in 2022 and Activision Blizzard in 2023, for a combined $121 billion.

Microsoft-Activision Blizzard set to clear final hurdle as U.K. regulators signal approval

“Microsoft has figured out how to stay ahead of the curve, and 50 years later, this is a company that can still be on the forefront of technology innovation,” said Soma Somasegar, a former Microsoft executive who now invests in startups at venture firm Madrona. “That’s a commendable place for the company to be in.”

When Somasegar gave up his corporate vice president position at Microsoft in 2015, the company was fresh off a $7.6 billion write-down from Ballmer’s ill-timed purchase of Nokia’s devices and services business.

Microsoft is now in a historic phase of investment. The company has built a $13.8 billion stake in OpenAI and last year spent almost $76 billion on capital expenditures and finance leases, up 83% from a year prior, partly to enable the use of AI models in the Azure cloud. In January, Nadella said Microsoft has $13 billion in annualized AI revenue, more even than OpenAI, which just closed a financing round valuing the company at $300 billion.

Microsoft’s spending spree has constrained free cash flow growth. Guggenheim analysts wrote in a note after the company’s earnings report in January, “You just have to believe in the future.” 

Of the 35 Microsoft analysts tracked by FactSet, 32 recommend buying the stock, which has appreciated tenfold since Nadella became CEO. Azure has become a fearsome threat to Amazon Web Services, which pioneered the cloud market in the 2000s, and startups as well as enterprises are flocking to its cloud technology.

Winston Weinberg, CEO of legal AI startup Harvey, uses OpenAI models through Azure. Weinberg lauded Nadella’s focus on customers of all sizes.

“Satya has literally responded to emails within 15 minutes of us having a technical problem, and he’ll route it to the right person,” Weinberg said.

Still, technology is moving at an increasingly rapid pace and Microsoft’s ability to stay on top is far from guaranteed. Industry experts highlighted four key issues the company has to address as it pushes into its next half-century.

Microsoft didn’t respond to a request for comment.

Regulation

There’s some optimism that the Trump administration and a new head of the Federal Trade Commission will open up the door to the kinds of deal-making that proved very challenging during Joe Biden’s presidency, when Lina Khan headed the FTC.

But regulatory uncertainty remains.

It’s not a new risk for Microsoft. In 1995, the company paid a $46 million breakup fee to tax software maker Intuit after the Justice Department filed suit to block the proposed deal. Years later, the DOJ got Microsoft to revamp some of its practices after a landmark antitrust case.

Microsoft pushed through its largest acquisition ever, the $75 billion purchase of video game publisher Activision, during Biden’s term. But only after a protracted legal battle with the FTC.

At the very end of Biden’s time in office, the FTC opened an antitrust investigation on Microsoft. That probe is ongoing, Bloomberg reported in March.

Nadella has cultivated a relationship with Trump. In January, the two reportedly met for lunch at Trump’s Mar-a-Lago resort in Florida, alongside Tesla CEO Elon Musk.

President Donald Trump shakes hands with Microsoft CEO Satya Nadella during an American Technology Council roundtable at the White House in Washington on June 19, 2017.

Nicholas Kamm | AFP | Getty Images

The U.S. isn’t the only concern. The U.K.’s Competition and Markets Authority said in January that an independent inquiry found that “Microsoft is using its strong position in software to make it harder for AWS and Google to compete effectively for cloud customers that wish to use Microsoft software on the cloud.”

Microsoft last year committed to unbundling Teams from Microsoft 365 productivity software subscriptions globally to address concerns from the European Union’s executive arm, the European Commission.

Noncore markets

Fairly early in Microsoft’s history the company became the world’s largest software maker. And in cloud, Microsoft is the biggest challenger to AWS. Most of the company’s revenue comes from corporations, schools and governments.

But Microsoft is in other markets where its position is weaker. Those include video games, laptops and search advertising.

Mary Jo Foley, editor in chief at advisory group Directions on Microsoft, said the company may be better off focusing on what it does best, rather than continuing to offer Xbox consoles and Surface tablets.

“Microsoft is not good at anything in the consumer space (with the possible exception of gaming),” wrote Foley, who has covered the company on and off since 1984. “You’re wasting time and money on trying to figure it out. Microsoft is an enterprise company — and that is more than OK.”

It’s unlikely Microsoft will back away from games, particularly after the Activision deal. Nearly $12 billion of Microsoft’s $69.6 billion in fourth-quarter revenue came from gaming, search and news advertising, and consumer subscriptions to the Microsoft 365 productivity bundle. That doesn’t include sales of devices, Windows licenses or advertising on LinkedIn.

“As a company, Microsoft’s all-in on gaming,” Nadella said in 2021 in an appearance alongside gaming unit head Phil Spencer. “We believe we can play a leading role in democratizing gaming and defining that future of interactive entertainment, quite frankly, at scale.”

AI pressure

Microsoft has an unquestionably strong position in AI today, thanks in no small part to its early alliance with OpenAI. Microsoft has added the startup’s AI models to Windows, Excel, Bing and other products.

The breakout has been GitHub Copilot, which generates source code and answers developers’ questions. GitHub reached $2 billion in annualized revenue last year, with Copilot accounting for more than 40% of sales growth for the business. Microsoft bought GitHub in 2018 for $7.5 billion.

Microsoft CEO Satya Nadella, right, speaks as OpenAI CEO Sam Altman looks on during the OpenAI DevDay event in San Francisco on Nov. 6, 2023.

Justin Sullivan | Getty Images

But speedy deployment in AI can be worrisome.

The company is “not providing the underpinnings needed to deploy AI properly, in terms of security and governance — all because they care more about being ‘first,'” Foley wrote. Microsoft also hasn’t been great at helping customers understand the return on investment, she wrote.

AI-ready Copilot+ PCs, which Microsoft introduced last year, aren’t gaining much traction. The company had to delay the release of the Recall search feature to prevent data breaches. And the Copilot assistant subscription, at $30 a month for customers of the Microsoft 365 productivity suite, hasn’t become pervasive in the business world.

“Copilot was really their chance to take the lead,” said Jason Wong, an analyst at technology industry researcher Gartner. “But increasingly, what it’s seeming like is Copilot is just an add-on and not like a net-new thing to drive AI.”

Innovation

At 50, the biggest question facing Microsoft is whether it can still build impressive technology on its own. Products like the Surface and HoloLens augmented reality headset generated buzz, but they hit the market years ago.

Teams was a novel addition to its software bundle, though the app’s success came during the Covid pandemic after the explosive growth in products like Zoom and Slack, which Salesforce acquired. And Microsoft is still researching quantum computing.

In AI, Microsoft’s best bet so far was its investment in OpenAI. Somasegar said Microsoft is in prime position to be a big player in the market.

“To me, it’s been 2½ years since ChatGPT showed up, and we are not even at the Uber and Airbnb moment,” Somasegar said. “There is a tremendous amount of value creation that needs to happen in AI. Microsoft as much as everybody else is thinking, ‘What does that mean? How do we get there?'”

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AI could affect 40% of jobs and widen inequality between nations, UN warns

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April 4, 2025

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AI could affect 40% of jobs and widen inequality between nations, UN warns

Artificial intelligence robot looking at futuristic digital data display.

Yuichiro Chino | Moment | Getty Images

Artificial intelligence is projected to reach $4.8 trillion in market value by 2033, but the technology’s benefits remain highly concentrated, according to the U.N. Trade and Development agency.

In a report released on Thursday, UNCTAD said the AI market cap would roughly equate to the size of Germany’s economy, with the technology offering productivity gains and driving digital transformation. 

However, the agency also raised concerns about automation and job displacement, warning that AI could affect 40% of jobs worldwide. On top of that, AI is not inherently inclusive, meaning the economic gains from the tech remain “highly concentrated,” the report added. 

“The benefits of AI-driven automation often favour capital over labour, which could widen inequality and reduce the competitive advantage of low-cost labour in developing economies,” it said. 

The potential for AI to cause unemployment and inequality is a long-standing concern, with the IMF making similar warnings over a year ago. In January, The World Economic Forum released findings that as many as 41% of employers were planning on downsizing their staff in areas where AI could replicate them.  

However, the UNCTAD report also highlights inequalities between nations, with U.N. data showing that 40% of global corporate research and development spending in AI is concentrated among just 100 firms, mainly those in the U.S. and China. 

Furthermore, it notes that leading tech giants, such as Apple, Nvidia and Microsoft — companies that stand to benefit from the AI boom — have a market value that rivals the gross domestic product of the entire African continent. 

This AI dominance at national and corporate levels threatens to widen those technological divides, leaving many nations at risk of lagging behind, UNCTAD said. It noted that 118 countries — mostly in the Global South — are absent from major AI governance discussions. 

UN recommendations 

But AI is not just about job replacement, the report said, noting that it can also “create new industries and and empower workers” — provided there is adequate investment in reskilling and upskilling.

But in order for developing nations not to fall behind, they must “have a seat at the table” when it comes to AI regulation and ethical frameworks, it said.

In its report, UNCTAD makes a number of recommendations to the international community for driving inclusive growth. They include an AI public disclosure mechanism, shared AI infrastructure, the use of open-source AI models and initiatives to share AI knowledge and resources. 

Open-source generally refers to software in which the source code is made freely available on the web for possible modification and redistribution.

“AI can be a catalyst for progress, innovation, and shared prosperity – but only if countries actively shape its trajectory,” the report concludes. 

“Strategic investments, inclusive governance, and international cooperation are key to ensuring that AI benefits all, rather than reinforcing existing divides.”

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Nvidia positioned to weather Trump tariffs, chip demand ‘off the charts,’ says Altimeter’s Gerstner

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April 3, 2025

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Nvidia positioned to weather Trump tariffs, chip demand 'off the charts,' says Altimeter's Gerstner

Altimeter CEO Brad Gerstner is buying Nvidia

Altimeter Capital CEO Brad Gerstner said Thursday that he’s moving out of the “bomb shelter” with Nvidia and into a position of safety, expecting that the chipmaker is positioned to withstand President Donald Trump’s widespread tariffs.

“The growth and the demand for GPUs is off the charts,” he told CNBC’s “Fast Money Halftime Report,” referring to Nvidia’s graphics processing units that are powering the artificial intelligence boom. He said investors just need to listen to commentary from OpenAI, Google and Elon Musk.

President Trump announced an expansive and aggressive “reciprocal tariff” policy in a ceremony at the White House on Wednesday. The plan established a 10% baseline tariff, though many countries like China, Vietnam and Taiwan are subject to steeper rates. The announcement sent stocks tumbling on Thursday, with the tech-heavy Nasdaq down more than 5%, headed for its worst day since 2022.

The big reason Nvidia may be better positioned to withstand Trump’s tariff hikes is because semiconductors are on the list of exceptions, which Gerstner called a “wise exception” due to the importance of AI.

Nvidia’s business has exploded since the release of OpenAI’s ChatGPT in 2022, and annual revenue has more than doubled in each of the past two fiscal years. After a massive rally, Nvidia’s stock price has dropped by more than 20% this year and was down almost 7% on Thursday.

Gerstner is concerned about the potential of a recession due to the tariffs, but is relatively bullish on Nvidia, and said the “negative impact from tariffs will be much less than in other areas.”

He said it’s key for the U.S. to stay competitive in AI. And while the company’s chips are designed domestically, they’re manufactured in Taiwan “because they can’t be fabricated in the U.S.” Higher tariffs would punish companies like Meta and Microsoft, he said.

“We’re in a global race in AI,” Gerstner said. “We can’t hamper our ability to win that race.”

WATCH: Brad Gerstner is buying Nvidia

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