Connect with us

Published

on

Lisa Su, CEO of AMD, left, and Jensen Huang, CEO of Nvidia

Benoit Tessier | Ritzau Scanpix | Mads Claus Rasmussen | Reuters

In the 1990s, when Intel dominated the PC chip market, the semiconductor maker needed Advanced Micro Devices to exist as a viable No. 2 to help avoid being charged with monopolistic behavior. 

Almost three decades later, AMD may be serving a similar role for Nvidia, which controls over 90% of the market for graphics processing units used for artificial intelligence workloads. 

When AMD announced a deal on Monday that involves selling many billions of dollars worth of GPUs to OpenAI, it announced itself as a serious rival the can pick up share in the quickly growing market for AI chips, analysts said.

“Right now, Nvidia almost has a monopoly, with AMD having a low-single-digit share in the $250 billion market” for AI data center silicon, said Mandeep Singh, senior analyst at Bloomberg intelligence.

Up to this point, Nvidia and OpenAI have defined the new era of AI.

Nvidia’s GPU sales have pushed the company’s market cap to $4.5 trillion. OpenAI’s private market valuation has climbed to $500 billion, driven by the popularity of ChatGPT and the company’s hyper-aggressive plans for building out data centers.

Nvidia is a significant investor in OpenAI, and last month agreed to pour up to $100 billion into the AI startup’s infrastructure buildouts.

While AMD is a very distant challenger, the stock has also been a Wall Street darling because of the company’s promises in AI and expectations that its GPUs will be enthusiastically snapped up by customers. But until its announcement with OpenAI this week, AMD’s rally has largely been built on hope.

AMD’s stock soared 24% on Monday, its biggest gain since 2002. It’s up 89% this year compared to Nvidia’s 40% gain.

Here's why Bank of America is bullish on AMD amid OpenAI deal

Nvidia’s control of the burgeoning market has been so vast that in September of last year, during the waning days of the Biden administration, the company was reportedly subpoenaed by the Justice Department, though it denied the report. Sen. Elizabeth Warren, D-Mass., sent a letter to the DOJ’s antitrust unit at the time supporting a probe.

The company’s growth, she wrote, “has been supercharged by Nvidia’s use of anticompetitive tactics that have choked off competition and chilled innovation.” Nvidia said at the time that it wins on merit.

The deal OpenAI and AMD announced on Monday could change the competitive dynamic.

The tie-up is expected to bring “double digit billions” in revenue to AMD starting in the second half of next year. OpenAI could also end up owning 10% of AMD if the stock hits price targets over a period of years.

AMD CEO Lisa Su described the agreement as a “win-win” on a call with reporters, and said it’s proof that her company’s chips are fast enough and priced to compete with those from Nvidia.

She described OpenAI’s commitment as a “clear signal” that AMD’s GPUs and software offer the performance and economic value “required for the most demanding at-scale deployments.”

Nvidia CEO Jensen Huang said on CNBC’s Squawk Box on Wednesday that the OpenAI-AMD deal was “unique and surprising.”

“I’m surprised that they would give away 10% of the company before they even built it,” Huang said.
“It’s clever, I guess,” Huang said.

The pact also allows OpenAI to show that its contracts and investments with suppliers like Nvidia aren’t exclusive, to avoid any potential antitrust ramifications. OpenAI CEO Sam Altman said on social media that any AMD chips would be “incremental” to its Nvidia purchases, and that the “world needs much more compute.”

“None of these things are, as far as I’m aware, exclusive contracts tying up avenues to other competitors,” said Alden Abbott, senior research fellow at Mercatus Center and a former general counsel at the Federal Trade Commission. “I don’t see any argument that in the near term that shows monopolization or cartelization of AI suppliers.”

Representatives from Nvidia, AMD and OpenAI declined to comment.

‘Committed to build’

When it comes to Washington, D.C., regulators aren’t the only concern. Those pressures have seemingly diminished this year under the Trump administration’s DOJ.

Rather, semiconductor investors are worried about potential tariffs, specifically Section 232 tariffs focused on chips. President Donald Trump has said that the tariffs, which have yet to go into effect, will double the price of imported chips. But in August, the president introduced a big carve-out.

“If you’re building in the United States or have committed to build — without question committed to build in the United States —there will be no charge,” Trump said at an event to announce Apple investments. The Trump administration’s AI Action Plan pushes for the U.S. to export “full-stack” AI technology abroad so it can become the global standard.

Ed Mills, Washington policy analyst at Raymond James, said it’s not entirely clear what will qualify for the exemption, adding that OpenAI’s investment in AMD may end up being an “off ramp” for the company.

Nvidia and OpenAI have already played a big role in Trump’s AI ambitions, as they joined with Oracle in January, when the president announced Project Stargate, a plan to invest up to $500 billion in U.S. AI infrastructure.

CEO Dr. Lisa Su, AMD executives, and industry luminaries unveil the AMD vision for Advancing Al.

Courtesy: AMD

In the AMD deal, OpenAI will be using the company’s Instinct MI450 systems, which will start shipping next year. It’s the first time AMD has offered a “rack-scale” system, not just individual chips, and will mean AMD is the only company besides Nvidia offering a full stack of AI hardware technologies.

“By having OpenAI purchase as much as they are from AMD, now we have a a multiplayer race that seems to be kind of dominated by Nvidia,” Mills said. “So we’re expanding the number U.S. companies that are going to be able to compete in producing that U.S. tech stack.”

There’s also the China issue.

Both Nvidia and AMD have China-specific AI products that have been barred by the U.S. government for shipment to the world’s second-largest economy, which is a major center of AI research. The Trump administration reversed course over the summer, and said the companies could export chips if they paid the U.S. government 15% of the revenue, but they still need export licenses.

Trump is expected to meet with China’s president, Xi Jinping, at the Asia-Pacific Economic Cooperation forum later this month. Recent reports suggest China could commit to investing $1 trillion in the U.S., and Mills said high-priced AI chips could be part of the deal.

AMD has historically downplayed competition with Nvidia, instead pointing to the potential opportunity in AI. The company recently said the AI chip market could be worth $500 billion by 2028, and this week said the OpenAI deal equates to at least “tens of billions of dollars of revenue.”

“I think they can get to 15% to 20% market share in a $500 billion market, whereas previously they had no chance,” said Bloomberg’s Singh.

The Trump administration may not be so concerned about antitrust matters, but Nvidia and AMD are at the early stages of a battle that’s expected to play out over many years, and there’s no telling who will be in the White House after Trump’s second term ends.

Antitrust regulators have paid close attention to the market in the past. The last time AMD played second fiddle in chips it was Intel that was the industry behemoth.

The FTC opened an inquiry into Intel in 1991, looking into potential anticompetitive practices in the PC market, and AMD filed a $2 billion antitrust suit against the company that year. The FTC never brought charges, and AMD and Intel ultimately settled their case.

Now AMD is worth about twice as much as Intel. And, after a spate of dealmaking, Intel’s largest shareholder is the U.S. government, followed not far behind by Nvidia.

WATCH: OpenAI’s deal spree

OpenAI's been on a deal spree – and it may still need even more compute capacity

Continue Reading

Technology

OpenAI’s Sora hit 1 million downloads in less than five days

Published

on

By

OpenAI's Sora hit 1 million downloads in less than five days

Sopa Images | Lightrocket | Getty Images

OpenAI’s short-form artificial intelligence video app Sora hit 1 million downloads less than five days after its launch in late September, according to an executive.

Bill Peebles, head of Sora at OpenAI, shared the milestone in a post on X late Wednesday. He said Sora reached 1 million downloads even faster than ChatGPT, the company’s popular AI chatbot that supports 800 million weekly active users.

Sora allows users to generate short videos for free by typing in a prompt. The app is only available on iOS devices and is invite-based, which means people need a code to access it. Despite these restrictions, Sora has climbed to the No. 1 spot in Apple’s App Store.

“Team [is] working hard to keep up with surging growth,” Peebles wrote.

Sora’s launch has also sparked intense backlash, namely around whether the app infringes on copyrights. CNBC viewed videos on the platform that included characters from shows like “SpongeBob SquarePants,” “Rick and Morty” and “South Park,” and was able to generate many characters independently.

Read more CNBC tech news

The Motion Picture Association, which advocates on behalf of the television, motion picture and home video industries, said in a statement Monday that “videos that infringe our members’ films, shows, and characters have proliferated on OpenAI’s service.”

“OpenAI needs to take immediate and decisive action to address this issue,” Charles Rivkin, CEO of the MPA said in the statement. “Well-established copyright law safeguards the rights of creators and applies here.”

OpenAI CEO Sam Altman said the company will soon give rights holders more granular control over character generation, according to a blog post last week.

During a briefing with reporters at the company’s DevDay event on Monday, Altman said some users have complained that Sora is too restrictive. He asked for patience as the company irons out best practices.

“Please give us some grace,” Altman said. “The rate of change will be high.”

WATCH: Hollywood backlash grows against OpenAI’s new Sora video model

Hollywood backlash grows against OpenAI's new Sora video model

Continue Reading

Technology

Intel gives first look at next-gen chips, says Arizona fab is fully operational

Published

on

By

Intel gives first look at next-gen chips, says Arizona fab is fully operational

An Intel manufacturing technician holds an Intel Core Ultra series 3 processor (code-named Panther Lake) built on Intel 18A, inside Intel’s new Fab 52 in Chandler, Arizona, in September 2025.

Courtesy: Intel

Intel on Thursday announced its new PC chips slated to debut in laptops next year as the chipmaker battles to turn around its struggling business.

The company said the new Panther Lake processor is made with its 18A technology and is the most advanced node made on U.S. soil.

The new generation of chips will be made at Intel’s Fab 52 facility in Arizona, which the company said is now fully operational and set to ramp production.

“The United States has always been home to Intel’s most advanced R&D, product design and manufacturing – and we are proud to build on this legacy as we expand our domestic operations and bring new innovations to the market,” CEO Lip-Bu Tan said in a release announcing the news.

Intel CEO Lip-Bu Tan holds a wafer of CPU tiles for the Intel Core Ultra series 3, code-named Panther Lake, outside the Intel Ocotillo campus in Chandler, Arizona. Panther Lake is the first client system-on-chips (SoCs) built on the Intel 18A process node.

Courtesy: Intel

Intel’s latest reveal comes during a critical stretch for the beleaguered chipmaker that has lagged in recent years and struggled to keep up with cutting-edge chip demands spurred by the artificial intelligence revolution.

In August, the U.S. government took a 10% stake in the company in an effort to beef up U.S. manufacturing capabilities. Intel has also received investments from SoftBank and AI chipmaking giant Nvidia.

Since taking the helm of Intel in March, Tan has faced massive pressure to deliver.

This summer, President Donald Trump called Tan “highly CONFLICTED” and demanded his resignation, but later changed his tone.

Intel shares have bounced 87% this year.

Stock Chart IconStock chart icon

hide content

Intel year-to-date stock chart.

Read more CNBC tech news

AI worries have climbed but demand is off the charts, says Bernstein's Rasgon

Continue Reading

Technology

Google launches Gemini subscriptions to help corporate workers build AI agents

Published

on

By

Google launches Gemini subscriptions to help corporate workers build AI agents

Thomas Kurian CEO of Google Cloud, speaks at the Google Cloud Next conference in Las Vegas on April 8, 2025.

Candice Ward | Google Cloud | Getty Images

Google is taking another shot at selling businesses on artificial intelligence agents by introducing subscriptions featuring agents that perform specific work tasks.

Gemini Enterprise targets large organizations, starting at a monthly fee of $30 per person. Gemini Business, for smaller clients, costs $21 per person each month. The offerings enable corporate workers to build agents that draw on data from Box, Microsoft and Salesforce products.

Premade Google agents for software development, data science and customer engagement also come with the new Gemini subscriptions, along with access to agents from Workday and other companies. They include the capabilities of Agentspace, an agent building product Google announced in December. Google will upgrade current Agentspace clients to Gemini Enterprise or Gemini Business free of charge through the course of their contracts, a spokesperson said.

Gemini subscriptions come with Model Armor, a feature for inspecting and blocking requests and responses in AI chats, so organizations don’t need to fuss with setting it up.

The launch comes three days after OpenAI showed how people can access tools from third-party apps in ChatGPT. Google and Microsoft, meanwhile, are looking to get enterprises hooked on agents that take care of some processes, so employees can do other things. Both companies sell services aimed at developers and at nontechnical workers. Neither Gemini Enterprise nor Gemini Business require coding.

Read more CNBC tech news

“We’ve seen people from consulting services companies, telecommunications companies, software companies, hospitality companies and a variety of different manufacturing companies all using these, and in a variety of scenarios,” said Thomas Kurian, CEO of Google’s cloud group, in a media briefing.

Kurian, who accelerated the unit’s year-over-year revenue growth back above 30% in the second quarter, named cruise line Virgin Voyages as a Gemini Enterprise early adopter.

Firms are more likely to be exploring or testing AI agents than putting them into production, said Chirag Dekate, an analyst at technology industry researcher Gartner. But Google’s handling of security and governance should ease concerns among big companies evaluating agent systems, Dekate said.

Google’s new Gemini subscriptions depend on the company’s Gemini AI models for working with text, images and videos. Google and other model makers regularly release new versions, and enterprises want to avoid getting stuck with lagging models when selecting agent software, Dekate said.

“How Google is able to leverage this unified messaging in the Gemini 3.0 launch sequence, which is coming soon, I think, will also be a crucial litmus test,” he said. “In other words, will they be able to offer a same-day sort of innovation cycle, or is this going to be staggered in terms of adoption patterns?”

WATCH: Box CEO on AI monetization: Agents offer new monetization for existing software companies

Box CEO on AI monetization: Agents offer new monetization for existing software companies

Continue Reading

Trending