Hock Tan, CEO of Broadcom (L) and former CEO of Intel, Pat Gelsinger.
Reuters | CNBC
It was a big year for silicon in Silicon Valley — but a brutal one for the company most responsible for the area’s moniker.
Intel, the 56-year-old chipmaker co-founded by industry pioneers Gordon Moore and Robert Noyce and legendary investor Arthur Rock, had its worst year since going public in 1971, losing 61% of its value.
The opposite story unfolded at Broadcom, the chip conglomerate run by CEO Hock Tan and headquartered in Palo Alto, California, about 15 miles from Intel’s Santa Clara campus.
Broadcom’s stock price soared 111% in 2024 as of Monday’s close, its best performance ever. The current company is the product of a 2015 acquisition by Avago, which went public in 2009.
The driving force behind the diverging narratives was artificial intelligence. Broadcom rode the AI train, while Intel largely missed it. The changing fortunes of the two chipmakers underscores the fleeting nature of leadership in the tech industry and how a few key decisions can result in hundreds of billions — or even trillions — of dollars in market cap shifts.
Broadcom develops custom chips for Google and other huge cloud companies. It also makes essential networking gear that large server clusters need to tie thousands of AI chips together. Within AI, Broadcom has largely been overshadowed by Nvidia, whose graphics processing units, or GPUs, power most of the large language models being developed at OpenAI, Microsoft, Google and Amazon and also enable the heftiest AI workloads.
Despite having a lower profile, Broadcom’s accelerator chips, which the company calls XPUs, have become a key piece of the AI ecosystem.
“Why it’s really shooting up is because they’re talking about AI, AI, AI, AI,” Eric Ross, chief investment strategist at Cascend, told CNBC’s “Squawk Box” earlier this month.
Intel, which for decades was the dominant U.S. chipmaker, has been mostly shut out of AI. Its server chips lag far behind Nvidia’s, and the company has also lost market share to longtime rival Advanced Micro Devices while spending heavily on new factories.
Intel’s board ousted Pat Gelsinger from the CEO role on Dec. 1, after a tumultuous four-year tenure.
“I think someone more innovative might have seen the AI wave coming,” Paul Argenti, professor of management at Dartmouth’s Tuck School of Business, said in an interview on “Squawk Box” after the announcement.
An Intel spokesperson declined to comment.
Broadcom is now worth about $1.1 trillion and is the eighth U.S. tech company to cross the trillion-dollar mark. It’s the second most valuable chip company, behind Nvidia, which has driven the AI boom to a $3.4 trillion valuation, trailing only Apple among all public companies. Nvidia’s stock price soared 178% this year, but actually did better in 2023, when it gained 239%.
Until four years ago, Intel was the world’s most valuable chipmaker, nearing a $300 billion market cap in early 2020. The company is now worth about $85 billion, just got booted off the Dow Jones Industrial Average — replaced by Nvidia — and has been in talks to sell off core parts of its business. Intel now ranks 15th in market cap among semiconductor companies globally.
‘Not meant for everybody’
Following the Avago-Broadcom merger in 2015, the combined company’s biggest business was chips for TV set-top boxes and broadband routers. Broadcom still makes Wi-Fi chips used in laptops as well as the iPhone and other smartphones.
After a failed bid to buy mobile chip giant Qualcomm in 2018, Broadcom turned its attention to software companies. The capstone of its spending spree came in 2022 with the announced acquisition of server virtualization software vendor VMware for $61 billion. Software accounted for 41% of Broadcom’s $14 billion in revenue in the most recent quarter, thanks in part to VMware.
What’s exciting Wall Street is Broadcom’s role working with cloud providers to build custom chips for AI. The company’s XPUs are generally simpler and less expensive to operate than Nvidia’s GPUs, and they’re designed to run specific AI programs efficiently.
Cloud vendors and other large internet companies are spending billions of dollars a year on Nvidia’s GPUs so they can build their own models and run AI workloads for customers. Broadcom’s success with custom chips is setting up an AI spending showdown with Nvidia, as hyperscale cloud companies look to differentiate their products and services from their rivals.
Broadcom’s chips aren’t for everyone, as only a handful of companies can afford to design and build their own custom processors.
“You have to be a Google, you have to be a Meta, you have to be a Microsoft or an Oracle to be able to use those chips,” Piper Sandler analyst Harsh Kumar told CNBC’s “Squawk on the Street” on Dec. 13, a day after Broadcom’s earnings. “These chips are not meant for everybody.”
While 2024 has been a breakout year for Broadcom — AI revenue increased 220% — the month of December has put it in record territory. The stock is up 45% for the month as of Monday’s close, 16 percentage points better than its prior best month.
On the company’s earnings call on Dec. 12, Tan told investors that Broadcom had doubled shipments of its XPUs to its three hyperscale providers. The most well known of the bunch is Google, which counts on the technology for its Tensor Processing Units, or TPUs, used to train Apple’s AI software released this year. The other two customers, according to analysts, are TikTok parent ByteDance and Meta.
Tan said that within about two years, companies could spend between $60 billion and $90 billion on XPUs.
“In 2027, we believe each of them plans to deploy 1 million XPU clusters across a single fabric,” Tan said of the three hyperscale customers.
In addition to AI chips, AI server clusters need powerful networking parts to train the most advanced models. Networking chips for AI accounted for 76% of Broadcom’s $4.5 billion of networking sales in the fourth quarter.
Broadcom said that, in total, about 40% of its $30.1 billion in 2024 semiconductor sales were related to AI, and that AI revenue would increase 65% in the first quarter to $3.8 billion.
“The degree of success amongst the hyperscalers in their initiatives here is clearly an area up for debate,” Cantor analyst C.J. Muse, who recommends buying Broadcom shares, wrote in a report on Dec. 18. “But any way you slice it, the focus here will continue to be a meaningful boon for those levered to custom silicon.”
Intel’s very bad year
Prior to 2024, Intel’s worst year on the market was 1974, when the stock sank 57%.
The seeds for the company’s latest stumbles were planted years ago, as Intel missed out on mobile chips to Qualcomm, ARM and Apple.
Rival AMD started taking market share in the critical PC and server CPU markets thanks to its productive manufacturing relationship with Taiwan Semiconductor Manufacturing Company. Intel’s manufacturing process has been a notch behind for years, leading to slower and less power-efficient central processing units, or CPUs.
But Intel’s most costly whiff is in AI — and it’s a big reason Gelsinger was removed.
Nvidia’s GPUs, originally created for video games, have become the critical hardware in the development of power-hungry AI models. Intel’s CPU, formerly the most important and expensive part in a server, has become an afterthought in an AI server. The GPUs Nvidia will ship in 2025 don’t even need an Intel CPU — many of them are paired to an Nvidia-designed ARM-based chip.
As Nvidia has reported revenue growth of at least 94% for the past six quarters, Intel has been forced into downsizing mode. Sales have declined in nine of the past 11 periods. Intel announced in August that it was cutting 15,000 jobs, or about 15% of its workforce.
“We are working to create a leaner, simpler, more agile Intel,” board Chair Frank Yeary said in a Dec. 2 press release announcing Gelsinger’s departure.
A big problem for Intel is that it lacks a comprehensive AI strategy. It’s touted the AI capabilities on its laptop chips to investors, and released an Nvidia competitor called Gaudi 3. But neither the company’s AI PC initiative nor its Gaudi chips have gained much traction in the market. Intel’s Gaudi 3 sales missed the company’s own $500 million target for this year.
Late next year, Intel will release a new AI chip that it codenamed Falcon Shores. It won’t be built on Gaudi 3 architecture, and will instead be a GPU.
“Is it going to be wonderful? No, but it is a good first step in getting the platform done,” Intel interim co-CEO Michelle Holthaus said at a financial conference held by Barclays on Dec. 12.
Holthaus and fellow interim co-CEO David Zinsner have vowed to focus on Intel’s products, leaving the fate of Intel’s costly foundry division unclear.
Before he left, Gelsinger championed a strategy that involved Intel both finding its footing in the semiconductor market and manufacturing chips to compete with TSMC. In June, at a conference in Taipei, Gelsinger told CNBC that when its factories get up and running, Intel wanted to build “everybody’s AI chips,” and give companies such as Nvidia and Broadcom an alternative to TSMC.
Intel said in September that it plans to turn its foundry business into an independent unit with its own board and the potential to raise outside capital. But for now, Intel’s primary client is Intel. The company said it didn’t expect meaningful sales from external customers until 2027.
At the Barclays event this month, Zinsner said the separate board for the foundry business is “getting stood up today.” More broadly, he indicated that the company is looking to remove complexity and associated costs wherever possible.
“We are going to constantly be scrutinizing where we’re spending money, making sure that we’re getting the appropriate return,” Zinsner said.
Global semiconductor stocks climbed on Monday after contract electronics giant Foxconn announced record fourth-quarter revenues, suggesting the artificial intelligence boom has far more room to run.
Hon Hai Precision Industry, which does business as Foxconn internationally, said in a Sunday statement that the company’s fourth-quarter revenue totaled 2.1 trillion New Taiwan dollars ($63.9 billion), growing 15% year-over-year.
Foxconn — which is a supplier to Apple — also set a record, posting the highest fourth-quarter revenue ever in company history, according to the statement.
The firm’s bumper revenue performance was driven by growth in its cloud and networking products — which includes AI servers like those designed by the likes of chipmaker Nvidia — and components and other products segments.
Computing products and smart consumer electronics — which numbers iPhone and other smartphones — saw “slight declines,” Foxconn said.
Shares of several semiconductor firms across Asia, Europe and the U.S. rose, as a result.
In Asia, TSMC hit a record high Monday and closed 1.9% higher in Taiwan.
The largest semiconductor manufacturer globally, TSMC produces chips for the likes of AMD and Nvidia.
Other Asian chip firms also logged share price gains — South Korea’s SK Hynix and Samsung rose nearly 10% and 4%, respectively.
In Europe, globally critical semiconductor equipment firm ASML saw its shares jump almost 6%, while fellow Dutch chip company ASMI’s stock rose almost 5%. Germany’s Infineon surged more than 6%.
Paris-listed shares of European contract chipmaker STMicroelectronics rose nearly 6%.
Stateside, Nvidia got a boost from the Foxconn numbers, climbing 2% in U.S. premarket trading.
Top Volkswagen and Xpeng executives pose at the German automaker’s launch event in Beijing, China, on Aug. 24, 2024.
Bloomberg | Bloomberg | Getty Images
Shares of Volkswagen and Xpeng both rose on Monday after the two firms announced plans to expand their partnership in electric vehicle charging stations in China.
The German automaker and Chinese electric car firm signed a memorandum of understanding in which they pledged to open their respective super-fast charging networks to each others’ customers. The collaboration will see more than 20,000 charging points operated by both firms in 420 cities across China.
Xpeng’s Hong Kong-listed shares closed 3.4% higher on Monday. Volkswagen was up 2% in early trade in Europe.
Volkswagen and Xpeng will explore cooperation on co-branded super-fast charging stations, the companies said.
“Through our strategic collaboration with XPENG, we will form one of the largest Super Fast Charging Networks in China enabling people to seamlessly integrate e-mobility into their daily lives not only in the metropolises but also in remote cities,” said Olaf Korzinovski, executive vice president of Volkswagen Group China.
Charging points are becoming a key battleground in the electric vehicle space because they provide the necessary infrastructure that allows people to drive further in battery-powered cars if they need to recharge. Tesla has also been expanding its Supercharger network in China.
Volkswagen has ramped up its focus on China. In 2023, it invested around $700 million in Xpeng, taking a 4.99% stake in the firm. The German automaker is aiming to offer at least 30 fully electric models across its brands in China by 2030.
Xpeng and Volkswagen are also looking to jointly develop two electric cars for delivery in China in 2026.
U.S. President-elect Donald Trump and Elon Musk watch the launch of the sixth test flight of the SpaceX Starship rocket in Brownsville, Texas, on Nov. 19, 2024.
Brandon Bell | Via Reuters
The U.S. political landscape is set to undergo some shifts in 2025 — and those changes will have some major implications for the regulation of artificial intelligence.
President-elect Donald Trump will be inaugurated on Jan. 20. Joining him in the White House will be a raft of top advisors from the world of business — including Elon Musk and Vivek Ramaswamy — who are expected to influence policy thinking around nascent technologies such as AI and cryptocurrencies.
Across the Atlantic, a tale of two jurisdictions has emerged, with the U.K. and European Union diverging in regulatory thinking. While the EU has taken more of a heavy hand with the Silicon Valley giants behind the most powerful AI systems, Britain has adopted a more light-touch approach.
In 2025, the state of AI regulation globally could be in for a major overhaul. CNBC takes a look at some of the key developments to watch — from the evolution of the EU’s landmark AI Act to what a Trump administration could do for the U.S.
Musk’s U.S. policy influence
Elon Musk walks on Capitol Hill on the day of a meeting with Senate Republican Leader-elect John Thune (R-SD), in Washington, U.S. December 5, 2024.
Benoit Tessier | Reuters
Although it’s not an issue that featured very heavily during Trump’s election campaign, artificial intelligence is expected to be one of the key sectors set to benefit from the next U.S. administration.
For one, Trump appointed Musk, CEO of electric car manufacturer Tesla, to co-lead his “Department of Government Efficiency” alongside Ramaswamy, an American biotech entrepreneur who dropped out of the 2024 presidential election race to back Trump.
Matt Calkins, CEO of Appian, told CNBC Trump’s close relationship with Musk could put the U.S. in a good position when it comes to AI, citing the billionaire’s experience as a co-founder of OpenAI and CEO of xAI, his own AI lab, as positive indicators.
“We’ve finally got one person in the U.S. administration who truly knows about AI and has an opinion about it,” Calkins said in an interview last month. Musk was one of Trump’s most prominent endorsers in the business community, even appearing at some of his campaign rallies.
There is currently no confirmation on what Trump has planned in terms of possible presidential directives or executive orders. But Calkins thinks it’s likely Musk will look to suggest guardrails to ensure AI development doesn’t endanger civilization — a risk he’s warned about multiple times in the past.
“He has an unquestioned reluctance to allow AI to cause catastrophic human outcomes – he’s definitely worried about that, he was talking about it long before he had a policy position,” Calkins told CNBC.
Currently, there is no comprehensive federal AI legislation in the U.S. Rather, there’s been a patchwork of regulatory frameworks at the state and local level, with numerous AI bills introduced across 45 states plus Washington D.C., Puerto Rico and the U.S. Virgin Islands.
The EU AI Act
The European Union is so far the only jurisdiction globally to drive forward comprehensive rules for artificial intelligence with its AI Act.
Jaque Silva | Nurphoto | Getty Images
The European Union has so far been the only jurisdiction globally to push forward with comprehensive statutory rules for the AI industry. Earlier this year, the bloc’s AI Act — a first-of-its-kind AI regulatory framework — officially entered into force.
The law isn’t yet fully in force yet, but it’s already causing tension among large U.S. tech companies, who are concerned that some aspects of the regulation are too strict and may quash innovation.
In December, the EU AI Office, a newly created body overseeing models under the AI Act, published a second-draft code of practice for general-purpose AI (GPAI) models, which refers to systems like OpenAI’s GPT family of large language models, or LLMs.
The second draft included exemptions for providers of certain open-source AI models. Such models are typically available to the public to allow developers to build their own custom versions. It also includes a requirement for developers of “systemic” GPAI models to undergo rigorous risk assessments.
The Computer & Communications Industry Association — whose members include Amazon, Google and Meta — warned it “contains measures going far beyond the Act’s agreed scope, such as far-reaching copyright measures.”
The AI Office wasn’t immediately available for comment when contacted by CNBC.
It’s worth noting the EU AI Act is far from reaching full implementation.
As Shelley McKinley, chief legal officer of popular code repository platform GitHub, told CNBC in November, “the next phase of the work has started, which may mean there’s more ahead of us than there is behind us at this point.”
For example, in February, the first provisions of the Act will become enforceable. These provisions cover “high-risk” AI applications such as remote biometric identification, loan decisioning and educational scoring. A third draft of the code on GPAI models is slated for publication that same month.
European tech leaders are concerned about the risk that punitive EU measures on U.S. tech firms could provoke a reaction from Trump, which might in turn cause the bloc to soften its approach.
Take antitrust regulation, for example. The EU’s been an active player taking action to curb U.S. tech giants’ dominance — but that’s something that could result in a negative response from Trump, according to Swiss VPN firm Proton’s CEO Andy Yen.
“[Trump’s] view is he probably wants to regulate his tech companies himself,” Yen told CNBC in a November interview at the Web Summit tech conference in Lisbon, Portugal. “He doesn’t want Europe to get involved.”
UK copyright review
Britain’s Prime Minister Keir Starmer gives a media interview while attending the 79th United Nations General Assembly at the United Nations Headquarters in New York, U.S. September 25, 2024.
However, Keir Starmer’s government has said it plans to draw up legislation for AI, although details remain thin for now. The general expectation is that the U.K. will take a more principles-based approach to AI regulation, as opposed to the EU’s risk-based framework.
Most LLMs use public data from the open web to train their AI models. But that often includes examples of artwork and other copyrighted material. Artists and publishers like the New York Times allege that these systems are unfairly scraping their valuable content without consent to generate original output.
To address this issue, the U.K. government is considering making an exception to copyright law for AI model training, while still allowing rights holders to opt out of having their works used for training purposes.
Appian’s Calkins said that the U.K. could end up being a “global leader” on the issue of copyright infringement by AI models, adding that the country isn’t “subject to the same overwhelming lobbying blitz from domestic AI leaders that the U.S. is.”
U.S.-China relations a possible point of tension
U.S. President Donald Trump, right, and Xi Jinping, China’s president, walk past members of the People’s Liberation Army (PLA) during a welcome ceremony outside the Great Hall of the People in Beijing, China, on Thursday, Nov. 9, 2017.
Qilai Shen | Bloomberg | Getty Images
Lastly, as world governments seek to regulate fast-growing AI systems, there’s a risk geopolitical tensions between the U.S. and China may escalate under Trump.
In his first term as president, Trump enforced a number of hawkish policy measures on China, including a decision to add Huawei to a trade blacklist restricting it from doing business with American tech suppliers. He also launched a bid to ban TikTok,which is owned by Chinese firm ByteDance, in the U.S. — although he’s since softened his position on TikTok.
China is racing to beat the U.S. for dominance in AI. At the same time, the U.S. has taken measures to restrict China’s access to key technologies, mainly chips like those designed by Nvidia, which are required to train more advanced AI models. China has responded by attempting to build its own homegrown chip industry.
Technologists worry that a geopolitical fracturing between the U.S. and China on artificial intelligence could result in other risks, such as the potential for one of the two to develop a form of AI smarter than humans.
Max Tegmark, founder of the nonprofit Future of Life Institute, believes the U.S. and China could in future create a form of AI that can improve itself and design new systems without human supervision, potentially forcing both countries’ governments to individually come up with rules around AI safety.
“My optimistic path forward is the U.S. and China unilaterally impose national safety standards to prevent their own companies from doing harm and building uncontrollable AGI, not to appease the rivals superpowers, but just to protect themselves,” Tegmark told CNBC in a November interview.
Governments are already trying to work together to figure out how to create regulations and frameworks around AI. In 2023, the U.K. hosted a global AI safety summit, which the U.S. and China administrations both attended, to discuss potential guardrails around the technology.