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.
The U.S. has placed major chip export restrictions on Huawei and Chinese firms over the past few years. This has cut off companies’ access to critical semiconductors.
Jaap Arriens | Nurphoto | Getty Images
Taiwan has added China’s Huawei and SMIC to its trade blacklist in a move that further aligns it with U.S. trade policy and comes amid growing tensions with Beijing.
Taiwan’s current regulations require licenses from regulators before domestic firms can ship products to parties named on the entity list.
In a statement on its website, Taiwan’s International Trade Administration said that Huawei and SMIC were among the 601 new foreign entities, blacklisted due to their involvement in arms proliferation activities and other national security concerns.
Huawei and SMIC are also on a U.S. trade blacklist and have been impacted by Washington’s sweeping controls on advanced chips. Companies such as contract chipmaker Taiwan Semiconductor Manufacturing Co already follow U.S. export restrictions.
However, the addition of Huawei and SMIC to the Taiwan blacklist is likely aimed at the reinforcement of this policy and a tightening of existing loopholes, Ray Wang, an independent semiconductor and tech analyst, told CNBC.
He added that the new domestic export controls could also raise the punishment for any potential breaches in the future.
TSMC had been embroiled in controversy in October last year when semiconductor research firm TechInsights found a TSMC-made chip in a Huawei AI training card.
Following the discovery, the U.S. Commerce Department ordered TSMC to halt Chinese clients’ access to chips used for AI services, according to a report from Reuters. TSMC could also reportedly face a $1 billion as penalty to settle a U.S. investigation into the matter.
Huawei has been working to create viable alternatives to Nvidia‘s general processing units used for AI. But, experts say the company’s advancement has been limited by export controls and a lack of scale and capabilities in the domestic chip ecosystem.
Still, Huawei is believed to have acquired several million GPU dies from TSMC for its AI chips by using previous loopholes before they were discovered, according to Paul Triolo, partner and senior vice president for China at advisory firm DGA-Albright Stonebridge Group.
A die refers to a small piece of silicon material that serves as the foundation for building processors and contains the intricate circuitry and components necessary to perform computations.
The Taiwanese government’s crackdown on exports to SMIC and Huawei also comes amid tense geopolitical tensions with Mainland China, which regards the democratically governed island as its own territory to be reunited by force, if necessary.
In statements reported by state media on Sunday, China’s top political adviser Wang Huning echoed Beijing’s position, calling for the promotion of national reunification with Taiwan and for resolute opposition to Taiwan independence.
An AI assistant on display at Mobile World Congress 2024 in Barcelona.
Angel Garcia | Bloomberg | Getty Images
Artificial intelligence is shaking up the advertising business and “unnerving” investors, one industry leader told CNBC.
“I think this AI disruption … unnerving investors in every industry, and it’s totally disrupting our business,” Mark Read, the outgoing CEO of British advertising group WPP, told CNBC’s Karen Tso on Tuesday.
The advertising market is under threat from emerging generative AI tools that can be used to materialize pieces of content at rapid pace. The past couple of years has seen the rise of a number of AI image generators, including OpenAI’s DALL-E, Google’s Veo and Midjourney.
In his first interview since announcing he would step down as WPP boss, Read said that AI is “going to totally revolutionize our business.”
“AI is going to make all the world’s expertise available to everybody at extremely low cost,” he said at London Tech Week. “The best lawyer, the best psychologist, the best radiologist, the best accountant, and indeed, the best advertising creatives and marketing people often will be an AI, you know, will be driven by AI.”
Read said that 50,000 WPP employees now use WPP Open, the company’s own AI-powered marketing platform.
“That, I think, is my legacy in many ways,” he added.
Structural pressure on creative parts of the ad business are driving industry consolidation, Read also noted, adding that companies would need to “embrace” the way in which AI would impact everything from creating briefs and media plans to optimizing campaigns.
A report from Forrester released in June last year showed that more than 60% of U.S. ad agencies are already making use of generative AI, with a further 31% saying they’re exploring use cases for the technology.
‘Huge transformation’
Read is not alone in this view. Advertising is undergoing a “huge transformation” due to the disruptive effects of AI, French advertising giant Publicis Groupe’s CEO Maurice Levy told CNBC at the Viva Tech conference in Paris.
He noted that AI image and video generation tools are speeding up content production drastically, while automated messaging systems can now achieve “personalization at scale like never before.”
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However, the Publicis chief stressed that AI should only be considered a tool that people can use to augment their lives.
“We should not believe that AI is more than a tool,” he added.
And while AI is likely to impact some jobs, Levy ultimately thinks it will create more roles than it destroys.
“Will AI replace me, and will AI kill some jobs? I think that AI, yes, will destroy some jobs,” Levy conceded. However, he added that, “more importantly, AI will transform jobs and will create more jobs. So the net balance will be probably positive.”
This, he says, would be in keeping with the labor impacts of previous technological inventions like the internet and smartphones.
“There will be more autonomous work,” Levy added.
Still, Nicole Denman Greene, analyst at Gartner, warns brands should be wary of causing a negative reaction from consumers who are skeptical of AI’s impact on human creativity.
According to a Gartner survey from September, 82% of consumers said firms using generative AI should prioritize preserving human jobs, even if it means lower profits.
“Pivot from what AI can do to what it should do in advertising,” Greene told CNBC.
“What it should do is help create groundbreaking insights, unique execution to reach diverse and niche audiences, push boundaries on what ‘marketing’ is and deliver more brand differentiated, helpful and relevant personalized experiences, including deliver on the promise of hyper-personalization.”
Jensen Huang, co-founder and chief executive officer of Nvidia Corp., left, and Emmanuel Macron, France’s president at the 2025 VivaTech conference in Paris, France, on Wednesday, June 11, 2025.
Nathan Laine | Bloomberg | Getty Images
Nvidia boss Jensen Huang has been on a tour of Europe this week, bringing excitement and intrigue to everywhere he visited.
His message was clear — Nvidia is the company that can help Europe build its artificial intelligence infrastructure so the region can take control of its own destiny with the transformative technology.
I’ve been in London and Paris this week following Huang around as he met with U.K. Prime Minister Keir Starmer, French President Emmanuel Macron, journalists, fans, analysts and gave a keynote at Nvidia’s GTC event in the capital of France.
Here’s the what I saw and the key things I learned.
At London Tech Week, the lines were long and the auditorium packed to hear him speak.
The GTC event in Paris was full too. It was like going to a music concert or sporting event. There were GTC Paris T-shirts on the back of every chair and even a merchandise store.
Nvidia GTC in Paris on 11 June 2025
Arjun Kharpal
The aura of Huang really struck me when, after a question-and-answer session with him and a room full of attendees, most people lined up to take pictures or selfies with him.
Macron and Starmer both wanted to be seen on stage with him.
Nvidia positions itself as Europe’s AI hope
Nvidia’s key product is its graphics processing units (GPU) that are used to train and execute AI applications.
But Huang has positioned Nvidia as more than a chip company. During the week, he described Nvidia as an infrastructure firm. He also said AI should be seen as infrastructure like electricity.
His pitch to all countries was that Nvidia could be the company that will help countries build out that infrastructure.
“We believe that in order to compete, in order to build a meaningful ecosystem, Europe needs to come together and build capacity that is joint,” Huang said during a speech at the Viva Tech conference in Paris on Wednesday.
Jensen Huang, CEO of Nvidia, speaks during the Viva Technology conference dedicated to innovation and startups at Porte de Versailles exhibition center in Paris, France, June 11, 2025.
Gonzalo Fuentes | Reuters
One of the most significant partnerships announced this week is between French startup Mistral and Nvidia to build a so-called AI cloud using the latter’s GPUs.
Huang spoke a lot during the week about “sovereign AI” — the concept of building data centers within a country’s borders that services its population rather than relying on servers located overseas. Among European policymakers and companies, this has been an important topic.
Huang also heaped praise on the U.K., France and Europe more broadly when it came to their potential in the AI industry.
China still behind but catching up
On Thursday, Huang decided to do a tour of Nvidia’s booth and I managed to catch him to get a few words on CNBC’s “Squawk Box Europe.”
A key topic of that discussion was China. Nvidia has not been able to sell its most advanced chips to China because of U.S. export controls and even less sophisticated semiconductors are being blocked. In its last quarterly results, Nvidia took a $4.5 billion hit on unsold inventory.
I asked Huang about how China was progressing with AI chips, in particular referencing Huawei, the Chinese tech giant that is trying to make semiconductor products to rival Nvidia.
Huang said Huawei is a generation behind Nvidia. But because there is lots of energy in China, Huawei can just use more chips to get results.
“If the United States doesn’t want to partake, participate in China, Huawei has got China covered, and Huawei has got everybody else covered,” Huang said.
In addition, Huang is concerned about the strategic importance of U.S. companies not having access to China.
“It’s even more important that the American technology stack is what AI developers around the world build on,” Huang said.
Just reading between the lines somewhat — Huang sees a world where Chinese AI tech advances. Some countries may decide to build their AI infrastructure with Chinese companies rather than American. That in turn could give Chinese companies a chance to be in the AI race.
Quantum, robotics and driverless is the future
Huang often uses public appearances to talk about the future.
I asked him about some of those areas he’s bullish on like robotics and driverless cars, technology that Nvidia’s products can power.
Huang told me this will be the “decade of” autonomous vehicles and robotics.
Nvidia boss Jensen Huang delivers a speech on stage talking about robotics.
Arjun Kharpal | CNBC
During his keynote at GTC Paris on Wednesday, he also address quantum computing, saying the technology is reaching “an inflection point.”
Quantum computers are widely believed to be able to solve complex problems that classic computers can’t. This could include things like discovering new drugs or materials.