Behind the scenes of every chipmaker, there’s a set of instructions that dictates how their products will function. Over the last three decades, Arm has become the dominant company making this chip architecture, and it powers nearly every smartphone today. Apple bases its custom silicon for iPhones and MacBooks on Arm, and now Nvidia and AMD are reportedly making Arm-based PC chips, too.
Arm’s blockbuster IPO in September valued it above $54 billion, thanks in part to the growing list of companies choosing Arm over Intel‘s rival x86 architecture.
On Wednesday, it beat Wall Street expectations in its first post-IPO earnings report, with revenue up 28% on an annual basis during the quarter. Still, revenue guidance fell short of expectations, sending Arm shares down more than 7% in extended trading.
The UK-based company sells licenses for its chip architecture to companies that make central processing units, or CPUs. It also collects royalties on every chip shipped with its technology. Haas says that number topped 30 billion last year.Its customers are the biggest names in tech and chips, including Apple, Nvidia, Google, Microsoft, Amazon, Samsung, Intel and Taiwan Semiconductor Manufacturing Company.
“Most people think about a device. Then maybe if they’re really sophisticated, they think about the chip, but they don’t think about the company that came up with the original ideas behind how that chip operates,” said Bob O’Donnell, president and chief analyst at TECHnalysis Research. “But once you do understand what they do, it’s absolutely amazing the influence they have.”
Arm enables chips to use less power than those made with x86. Lately, it’s seen a big surge in adoption.
Arm is the basis for Apple’s custom processors, which have replaced Intel chips in Macs. Amazon Web Services bases its custom server chips on Arm. Qualcomm’s flagship Snapdragon chips are also Arm-based, and getting ready to make a meaningful move into the PC market.
But Arm has also faced plenty of risks in recent years. About 20% of its revenue comes from China, according to the company. Smartphones, which almost all contain Arm processors, are seeing a major sales slump. And when Nvidia tried to buy Arm for $40 billion, the deal was blocked by regulators last year.
“That didn’t go the way that everyone anticipated or hoped that it would. But the sun comes up the next day, right? And you have to be able to build from that,” CEO Rene Haas told CNBC in an interview in October.
CNBC went to Arm’s headquarters in Cambridge, England, to find out how it became the year’s biggest IPO despite struggling smartphone sales and geopolitical uncertainty.
From smartphones to AI
Arm was founded in 1990 by 12 chip designers working out of a turkey barn in Cambridge. It was originally a joint venture between Apple, Acorn Computers, and VLSI, which is now part of NXP.
Arm’s big break came in 1993, when Apple launched its early handheld Newton device on the Arm610 processor. Haas said this gets at the “hallmarks” of the company. “We were born running a device off a battery that was going to be low cost,” he said.
Arm’s big break came in 1993 when Apple released its handheld Newton device on the Arm610 processor.
Arm Holdings
That same year, Arm struck a deal with Texas Instruments, putting its processors in early Nokia mobile phones and beginning Arm’s climb to become the dominant smartphone architecture it is today. Arm went public for the first time in 1998. Chief architect Richard Grisenthwaite was there.
“We were about 100 people, and I’ve been very much involved in this tremendous transition that the company has gone through, expanding out from being targeting one particular market area into a wide range of different computing environments,” Grisenthwaite said.
Indeed, Arm grew rapidly in the 2000s, with the first touchscreen phones introduced in 2007 and the growth of connected home devices in the 2010s.
Arm now has some 6,500 employees globally. Grisenthwaite said the majority of those employees are in the UK, and about a sixth are in the U.S., where Arm has offices in Arizona, California, North Carolina and Texas. It also has locations in Norway, Sweden, France and India.
In 2016, Arm once again became a private company when Japan’s SoftBank acquired it for $32 billion. Haas was president of the IP products group at the time, spearheading diversification into emerging markets, including AI.
“PC and phone, automotive, data center and IoT. Those are the primary markets that we address. Every single one of those markets has AI embedded in some way, shape or form,” he said.
Arm has some 6,800 patents worldwide, with another 2,700 applications pending. Some of those are for Arm’s Neoverse line for high-performance and cloud computing, which has helped it break into AI since its launch in 2018.
In August, Nvidia announced its latest Grace Hopper Superchip, which couples its own GPUs with Arm’s Neoverse cores.
“By bringing those together and tightly coupling the way that Nvidia has with the Grace Hopper, they’re able to come up with something that’s something like 2 to 4 times the performance of what you’d get on an x86 system for a similar amount of power,” Grisenthwaite explained.
Cash and competition
If you rewind just a couple years, Nvidia’s interest in Arm went far beyond technology integration. Arm owner Softbank needed cash after losing money on high-profile investments in companies like WeWork and Uber. In 2020, SoftBank struck a deal with Nvidia to sell Arm for $40 billion. Eighteen months later, the deal fell apart, blocked by regulators and some of Arm’s biggest customers, which also compete with Nvidia.
Haas said he was, “Disappointed it didn’t happen just because we spent so much time on it.”
Instead, Softbank announced plans to take Arm public again and Haas took over as CEO.
Arm CEO Rene Haas talks with CNBC’s Katie Tarasov in San Jose, California, on October 12, 2023.
Katie Brigham
Arm made its second public debut this September, climbing nearly 25% that day.
The stock has fallen significantly since then.
One risk comes from a free, open-source rival architecture called RISC-V. It’s seen a recent surge in backing from some of Arm’s big customers like Google, Samsung and Qualcomm, which may have been seeking alternatives when it looked like Nvidia was going to buy Arm.
For now, RISC-V remains a low risk competitor according to Futurum Group CEO Daniel Newman.
“RISC-V sits a few years behind where Arm is at, and I don’t think we’re going to hear a lot about it right away. I do think in low power, in IoT, in simpler designs, that RISC-V does have some traction,” Newman said.
Arm’s bigger competition comes from x86. Developed by Intel in the 70s, x86 is the dominant architecture used for PC processors, with a massive amount of software developed for it.
“The amount of software support is the thing that actually tends to determine the success or failure of that in the long run. Intel was very good early on with getting a ton of software support for x86,” O’Donnell explained.
Most servers have also traditionally been based on x86, but O’Donnell said that could shift.
“What’s happened in the server market is that the software has been componentized. It’s broken up into containers and things like that, and that makes it easier to run on other architectures like Arm,” he said.
Amazon Web Services is a big player making Arm-based server chips. AWS launched its Graviton chips to rival x86 CPUs from AMD and Intel in 2018.
“And really from there, Arm went from this mobile, low power IoT, automotive specialty embedded to holy cow, we can build next generation servers, PCs, and of course continue on this massive run of silicon for smartphones, all based on Arm,” Newman said.
‘If Apple can do it, can others?’
Apple is the big partner helping Arm break into the laptop market.
Apple moved to its own Arm-based processors in Mac computers in 2020, breaking away from the Intel x86 processors that had powered them for 15 years.
In October, Apple announced its latest line of M3 processors and the MacBooks and iMacs running on them. Apple said Arm-based M3 gives the newest MacBook up to 22 hours of battery life.
“Nobody really believed, until Apple went all in and basically cut ties with x86 instruction sets and said, ‘We are going to bet the future of the Mac on Arm.’ And that was a huge inflection for the company. It was a change of the guard. And this isn’t to say that Intel’s future is in big trouble, but it certainly started to raise some question marks as to, well, if Apple can do it, can others?” Newman said.
In September, Apple extended its deal with Arm through at least 2040.
Qualcomm is another major customer making its latest PC processors using Arm, although that relationship is strained. Arm is suing Qualcomm over the right to make certain chips with its technology. The issues started after Qualcomm acquired CPU company Nuvia in 2021, and with it, Nuvia’s Arm license.
“Nuvia was actually supposed to be designing a server chip initially, so they had different terms with them. And so Qualcomm thought they could have the same terms. Arm felt no, different companies have different terms. And it’s boiled down to essentially that: legal discussions around what those terms ought to be,” O’Donnell explained.
The case is set to go to trial in 2024.
Arm is also growing in the automotive space. Although its chips have long been in cars, it’s now a rapid growth area with the rise of self-driving capabilities and partnerships with companies like Cruise.
Arm’s Grisenthwaite calls self-driving “one of the most computationally intensive tasks we’ve ever seen on this planet.”
“What we need to provide is a standard platform to allow the world’s software developers to really concentrate on this incredibly hard task going forward,” he said, while demonstrating the AVA developer platform, which brings multiple self-driving components together to function on a single processor.
This simplification is also making Arm the choice for non-chip companies like Apple, Amazon, Google and Microsoft designing their own custom silicon.
“They’ve got a smaller team than entire companies built on that. And so you have to make that process easier and simpler. And that, for example, is where Arm is starting to move in terms of enabling the design of multiple components that connect together,” O’Donnell said.
Arm Holdings headquarters in Cambridge, England, on October 3, 2023.
Max Thurlow
‘China is a good market for us’
Although more companies are making inroads into semiconductor design, the recent chip shortage exposed major concern over the fact that more than 90% of the world’s chips are manufactured in Asia.
Now China and the U.S. are going back and forth imposing export controls on chip technologies. For now, Arm says it’s seen minimal impact from the export controls.
“What we do is obviously comply with all kinds of export regulations whenever they come out. Of course we comply. China is a good market for us: about 20% of our business. It’s shifted over the years. It used to be largely mobile phone based. Now it’s mostly around the data center and automotive,” Haas said.
In 2018, SoftBank broke off Arm’s China business into an independent entity, Arm China, that’s majority owned by a group of Chinese investors.
Haas explained further, “It’s essentially to allow us to not only grow our business in China, which is our essentially base core business. We set up a distributor arm, but at the same time, we also created an R&D arm that allows an independent entity to develop products specifically for the China market, some that are Arm based but some that are not Arm based.”
Arm China has also been embroiled in controversy, with SoftBank and Arm trying to oust the CEO of the China business, Allen Wu. Despite being fired, Wu refused to leave for years.
“It’s been very ugly and kind of messy and confusing,” O’Donnell said.
“A lot of Chinese companies have long standing relationships with Arm, so the expectation is they’re going to want to work there because they have that huge base of software. If somebody creates a new architecture, they have to build the software, and that takes years and years and years,” he said.
“We’re not as impacted as folks might think because one of the trends we’ve seen, particularly in smartphones, is more and more Arm processors that go into those phones,” Haas said. “So for us, we’ve actually seen an increase in royalty per phone.
“It’s hard for our whole industry because there’s no way that demand for semiconductors in the next 10 to 15 years will abate. It’s only going to increase. So it’s a pretty fierce talent war,” Haas said.
TOKYO, JAPAN – FEBRUARY 03: SoftBank Group CEO Masayoshi Son delivers a speech during an event titled “Transforming Business through AI” in Tokyo, Japan, on February 03, 2025. SoftBank and OpenAI announced that they have agreed a partnership to set up a joint venture for artificial intelligence services in Japan.
Japanese tech stocks took a tumble on Thursday as AI infrastructure spending worries on Wall Street crossed the ocean into the Asian markets, with AI-related stocks declining.
Softbank Group Corp was among the top losers in the benchmark Nikkei 225, falling as much as 7.25%, with the index leading losses in Asia, down 1.23%. The group pared some losses and was last trading 3% lower.
This decline comes as the tech-heavy Nasdaq Composite fell 1.81% overnight, dragged by losses in Oracle, Broadcom, Nvidia and other AI plays.
The losses in Oracle came after the Financial Times reported on Wednesday that Blue Owl Capital’s plans to finance the cloud infrastructure company’s $10 billion Michigan data center had stalled. The company last week had refuted a report that said it had delayed some projects for AI major OpenAI to 2028.
Tech-focused SoftBank has seen sharp volatility in its stock over the past month as fears over AI-related spending have gripped the market.
At the start of the year, the group had revealed plans to invest $500 billion in AI infrastructure in the U.S. along with OpenAI, Oracle and other partners, and in September it announced five new U.S. AI data center sites under Stargate, OpenAI’s overarching AI infrastructure platform.
Jesper Koll, expert director at Tokyo-based financial services firm Monex Group, said much of what goes into data centers, power centers, and AI hardware enablers is “Made in Japan, and can only be made in Japan.” That makes Japanese tech, especially AI-related stocks more vulnerable to any worries around U.S. tech spending.
On Wednesday, Japan’s trade numbers showed that exports of electrical machinery jumped 7.4%, and semiconductor-related exports surged 13% year on year. Koll said the U.S.-led boom in tech spending was translating into growing exports of specialized machinery and equipment.
Losses were less pronounced in South Korean chip heavyweight Samsung Electronics at 0.93%, while SK Hynix reversed course to gain 0.73%. Taiwan’s TSMC, the world’s largest contract chip manufacturer, was marginally down.
A view of Oracle’s headquarters in Redwood Shores, California.
Justin Sullivan | Getty Images
The apprehension investors have surrounding Oracle has spilled over from manifesting in its stock price — which has fallen nearly 50% from its all-time high on Sept. 10 — to affecting its projects.
Asset management firm Blue Owl Capital reportedly pulled out from Oracle’s $10 billion data center project over unfavorable debt terms, according to the Financial Times, as concerns about the tech giant’s high level of debt mount.
The latest development adds fuel to worries that Oracle could delay the completion of data centers for OpenAI, which were first flagged by Bloomberg on Friday, though the cloud company has denied the report.
Despite the recent pullback in artificial intelligence stocks, the Bank of America thinks “the AI trade may still have room to run into 2026” — with the important caveat that shares going up does not mean a bubble isn’t forming.
“In our view, such progression validates our thesis that a larger AI bubble continues to build,” analysts at Bank of America wrote.
The trouble, as always, is pinpointing the exact moment before the bubble pops — if that’s even possible.
— CNBC’s Jaures Yip contributed to this report.
What you need to know today
And finally…
A projected illumination marking the 75th anniversary of the Schuman Declaration, on the Grossmarkthalle building at the European Central Bank headquarters in Frankfurt, Germany, on May 9, 2025.
Investors are gearing up for the last interest-rate decisions of 2025, with four of Europe’s central banks announcing their monetary policies and macroeconomic outlooks on Thursday.
The European Central Bank, Bank of England, Riksbank and Norges Bank are all meeting, but only one of them is expected to change its rate.
MetaX booth at the Shanghai New Expo Center in Shanghai, China, on July 26, 2025. (Photo by Ying Tang/NurPhoto via Getty Images)
Nurphoto | Nurphoto | Getty Images
It felt like déjà vu when shares of chipmaker MetaX Integrated Circuits soared 700% in its Shanghai market debut on Wednesday. Moore Threads surged over 400% on its first day of trading just two weeks earlier.
They’re the latest Chinese AI chip companies the country’s investors are ploughing money into, as it races to develop its own semiconductors and challenge Nvidia’s dominance in the face of U.S. export curbs.
Both are developing graphics processing units (GPUs), the type of chip manufactured by Nvidia and used for advanced AI.
Investor enthusiasm around Chinese AI-chip IPOs is partly shaped by longer-term expectations that China will build a self-sufficient semiconductor ecosystem as tensions with the U.S. continue, Macquarie’s equity analyst Eugene Hsiao told CNBC.
Washington has barred sales of Nvidia’s most advanced semiconductors to the country. While U.S. President Donald Trump relaxed export curbs for some Nvidia chips, regulators in the country were planning to limit access to the company’s processors, the Financial Times reported earlier this month, as it looks to wean itself off overseas tech in the AI race.
None of China’s AI chipmakers — which include a cohort of tech giants like Huawei, Alibaba and Baidu — have been able to develop processors comparable to Nvidia’s most advanced so far.
But while significant barriers remain in overcoming export control restrictions in some areas of its chip supply chain, like equipment, it’s made significant strides in others, such as memory.
Here’s how the market of China’s AI chip Nvidia rivals is shaping up.
Huawei
Privately-owned tech giant Huawei develops the Ascend series of chips, with its next-generation model, the 950, to be launched in 2026. Nvidia told CNBC that “competition has undeniably arrived” when the new systems were announced.
While its previous Ascend models have not been considered competitive with Nvidia’s on a chip-by-chip basis, Huawei has been able to build high-performance “clusters” to rival the US chipmaker’s most advanced systems by linking more of its processors.
“This strategy relies on high-speed, potentially optical interconnects to move data quickly across large clusters – a setup that doesn’t require top-end chips and therefore suits China’s current strengths,” Brady Wang, associate director at Counterpoint Research, told CNBC in November.
Baidu
China’s biggest search platform, Baidu, has increasingly funneled more resources into AI and is a majority shareholder in chip designer Kunlunxin. In November, the company unveiled a five-year roadmap for its Kunlun AI chips, unveiling new processors in 2026 and 2027.
Baidu, which is traded on the Nasdaq, uses a combination of self-developed chips and Nvidia products in its data centers to run its in-house AI models. The company has looked to position itself as a “full-stack” provider, producing chips, servers, data centers, and AI models and applications.
“Kunlunxin has emerged as a leading domestic AI chip developer, focusing on high-performance AI chips for large language model (LLM) training and inference, cloud computing, and telecom and enterprise workloads,” analysts at Deutsche Bank said in a note in November.
JPMorgan said in a November note that it viewed the Kunlun AI chip as one of the “best-positioned” as Chinese hyperscalers increasingly source from local solution providers.
Alibaba
E-commerce giant Alibaba — which is sometimes compared with Amazon as it is one of the biggest cloud providers locally — began developing AI chips in the late 2010s. It was developing a new AI chip in August, CNBC reported, specifically designed for inference rather than training.
Alibaba’s share rose in September after reports that the company had secured a major customer for its AI chips.
“Improved performance of its self-developed chip” was one of the factors that supported revenue growth in the cloud division at Alibaba, Morningstar analyst Chelsey Tam said in September.
Cambricon
Cambricon, which is developing chips for AI training and inference, posted record profits in the first half of 2025 as revenue surged. The chipmaker, founded in 2016, said revenue rose more than 4,000% year-on-year to 2.88 billion Chinese yuan ($402.7 million) and net profit hit a record 1.04 billion yuan.
“We view Cambricon as the most plausible winner in China’s AI accelerator market, which is still at its early stage when compared to the US market on chip accessibility issue,” Jamie Mills O’Brien, investment director at investment group Aberdeen, told CNBC by email.
“We see multiple roadblocks being digested in next 1-2 years, including fab maturity, client acceptance, and ecosystem formation, which is likely to set Cambricon a ‘good enough’ alternative to Nvidia’s downgraded chips in China.”
An illustration photo shows Moore Threads logo in a smartphone in Suqian, Jiangsu Province, China on October 30, 2025.
Cfoto | Future Publishing | Getty Images
Other AI chip companies
MetaX raised nearly $600 million in its initial public offering on Wednesday, five years on from its founding by former AMD executive Chen Weiliang.
Founded in 2020 by a former general manager of Nvidia’s Chinese arm, Moore Threads is sometimes referred to as “China’s Nvidia.”
It’s set to launch its latest GPU architecture at a Beijing developer conference later this week, according to a report in the South China Morning Post.
The company said in its listing that IPO proceeds were needed to accelerate core research and development initiatives, including producing new self-developed AI training and inference GPU chips.
Enflame was founded by former AMD employees in 2018 and designs chips for data centers focused on AI training and processes.
Biren Technology, founded in 2019, is designing high-performance GPUs and was approved for an IPO by the Chinese regulator on Tuesday, according to reports from Reuters and the South China Morning Post.