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Elon Musk, chief executive officer of SpaceX and Tesla and owner of X, speaks at the Milken Conference 2024 in Beverly Hills, California, May 6, 2024.

David Swanson | Reuters

Elon Musk says he can grow Tesla into “a leader in AI & robotics,” an ambition that he’s said will require a lot of pricey processors from Nvidia to build up its infrastructure.

On Tesla’s first-quarter earnings call in April, Musk said the electric vehicle company will increase the number of active H100s — Nvidia’s flagship artificial intelligence chip — from 35,000 to 85,000 by the end of this year. He also wrote in a post on X a few days later that Tesla would spend $10 billion this year “in combined training and inference AI.”

But emails written by Nvidia senior staff and widely shared inside the company suggest that Musk presented an exaggerated picture of Tesla’s procurement to shareholders. Correspondence from Nvidia staffers also indicates that Musk diverted a sizable shipment of AI processors that had been reserved for Tesla to his social media company X, formerly known as Twitter.

Tesla shares slipped as much as 1% on the news Tuesday morning.

By ordering Nvidia to let privately held X jump the line ahead of Tesla, Musk pushed back the automaker’s receipt of more than $500 million in graphics processing units, or GPUs, by months, likely adding to delays in setting up the supercomputers Tesla says it needs to develop autonomous vehicles and humanoid robots.

“Elon prioritizing X H100 GPU cluster deployment at X versus Tesla by redirecting 12k of shipped H100 GPUs originally slated for Tesla to X instead,” an Nvidia memo from December said. “In exchange, original X orders of 12k H100 slated for Jan and June to be redirected to Tesla.”

A more recent Nvidia email, from late April, said Musk’s comment on the first-quarter Tesla call “conflicts with bookings” and that his April post on X about $10 billion in AI spending also “conflicts with bookings and FY 2025 forecasts.” The email referenced news about Tesla’s ongoing, drastic layoffs and warned that head-count reductions could cause further delays with an “H100 project” at Tesla’s Texas Gigafactory.

The new information from the emails, read by CNBC, highlights an escalating conflict between Musk and some agitated Tesla shareholders who question whether the billionaire CEO is fulfilling his obligations to Tesla while also running a collection of other companies that require his attention, resources and hefty amounts of capital.

A spokesperson for Nvidia declined to comment for this story. Musk and representatives for X and Tesla did not respond to requests for comment.

Critics have said Musk is only a part-time CEO of Tesla, the company responsible for the vast majority of his wealth. Musk is also the CEO of aerospace company SpaceX, the founder of brain-computer interface startup Neuralink and tunneling venture The Boring Co. He also owns X, which he acquired for $44 billion in late 2022, when it was still called Twitter. He launched his AI startup, xAI, in 2023.

X and xAI are tightly intertwined. In a post on X in November, Musk wrote, “X Corp investors will own 25% of xAI.” Additionally, xAI uses some capacity in X data centers to run some of its training and inference for the large language models behind its chatbot Grok, CNBC has learned.

Musk has pitched Grok, originally named Truth GPT, as a politically incorrect chatbot with “a rebellious streak” and a would-be competitor to OpenAI’s ChatGPT and other generative AI services.

While Musk juggles his many ventures, Tesla shareholders have reason for concern. The company is in the midst of a troubling sales decline due in part to its aging lineup of electric vehicles and increased competition. Its reputation has also suffered in the U.S., according to the Axios Harris Poll 100 survey, which attributed some of the slippage to Musk’s “antics” and “political rants.”

Tesla’s stock price is down 29% this year.

Why Tesla is losing share in Europe

Rather than discuss EV sales or the massive restructuring underway at Tesla, Musk has been encouraging investors to focus on future products that he’s been promising for years but has yet to deliver. That includes AI software to turn existing cars into self-driving vehicles, dedicated robotaxis that can make money for their owners, and a driverless transportation network.

“If somebody doesn’t believe Tesla’s going to solve autonomy, I think they should not be an investor in the company,” Musk said on the April earnings call. “We will, and we are.”

To get there, he’s said, Tesla requires plenty of Nvidia’s GPUs which are specialized for AI training and workloads. Those chips are in limited supply due to soaring demand from Google, Amazon, Meta, Microsoft, OpenAI and others.

‘Consuming every GPU that’s out there’

Nvidia, now the third-most-valuable company in the world with a $2.8 trillion market cap, has said it’s hard to keep up with demand. Between the cloud service providers and the companies developing AI models, customers “are consuming every GPU that’s out there,” Nvidia CEO Jensen Huang said on an earnings call in May, after the chipmaker reported its third straight quarter of more than 200% revenue growth.

Huang also said, on an earnings call in February, that Nvidia does its best to “allocate fairly and to avoid allocating unnecessarily,” adding “why allocate something when the data center’s not ready?”

In naming customers that are already using Nvidia’s next-generation Blackwell platform, Huang mentioned xAI on the May call alongside six of the biggest tech companies on the planet as well as Tesla.

Jensen Huang, co-founder and chief executive officer of Nvidia Corp., speaks during the Nvidia GPU Technology Conference in San Jose, California, March 19, 2024.

David Paul Morris | Bloomberg | Getty Images

Musk likes to tout his infrastructure spending at both companies.

At Tesla, Musk has promised to build a $500 million “Dojo” supercomputer in Buffalo, New York, and a “super dense, water-cooled supercomputer cluster” at the company’s factory in Austin, Texas. The technology would potentially help Tesla develop the computer vision and LLMs needed for robots and autonomous vehicles.

At xAI, which is racing to compete with OpenAI, Anthropic, Google and others in developing generative AI products, Musk is also seeking to build “the world’s largest GPU cluster” in North Dakota, with some capacity online in June, according to an internal Nvidia email from February.

The memo described a “Musk mandate” to make all 100,000 chips available to xAI by the end of 2024. It noted that the LLM behind xAI’s Grok was relying on Amazon and Oracle cloud infrastructure, with X providing additional data center capacity.

The Information previously reported some details of xAI’s data center ambitions.

On May 26, xAI said it closed a $6 billion financing round led by many of the same investors who funded Musk’s Twitter takeover. The company was incorporated in March 2023, but Tesla didn’t disclose its formation at the time, and it was four months later before Musk publicly introduced the startup.

Conflicts of interest

While Musk has said for years that Tesla is a leader in AI, he wrote in a post on X in January that he’d want more control over the company before pushing further in that direction.

“I am uncomfortable growing Tesla to be a leader in AI & robotics without having ~25% voting control. Enough to be influential, but not so much that I can’t be overturned,” he said in the post.

Tesla’s latest proxy filing indicates Musk has 20.5% of the company’s outstanding shares, a figure that includes options awarded to Musk as part of his unprecedented 2018 CEO pay package. A Delaware court has ordered that compensation to be rescinded. Post-trial proceedings are ongoing and subject to appeal.

If he is unable to reach his desired ownership mark, Musk said in the January post, he “would prefer to build products outside of Tesla.” He’s already doing that at xAI.

Musk’s comments in the January post rankled some longstanding bulls, including the company’s largest retail shareholder, Leo Koguan, and Gerber Kawasaki’s Ross Gerber, who characterized his demand as “blackmail.”

Joel Fleming, a securities litigator at Equity Litigation Group, said that by letting his private companies skip ahead of Tesla in procuring critical hardware, Musk is making his conflicts of interest readily apparent.

“When you have someone like Mr. Musk who is a fiduciary to multiple companies, the law recognizes this creates conflict,” Fleming said. “If you owe fiduciary duties to two or more companies that are competing over the same things, you may end up channeling corporate opportunity away from one company to another.”

Fleming, who frequently represents public company investors in shareholder disputes, said that in such situations, other executives would be in the best position to make decisions, while those who are conflicted should abstain.

“That has not historically been the path that Mr. Musk has chosen for himself,” Fleming said.

Musk hasn’t been shy about intermingling corporate resources among his companies.

For example, following his buyout of Twitter, Musk enlisted dozens of Autopilot software engineers and other technical and administrative employees from Tesla to help him make sweeping changes at the company. Some employees even work for two Musk companies at once.

At xAI, Musk has also attracted employees away from Tesla, including machine-learning scientist Ethan Knight, and at least four other former Tesla employees who had been involved in Autopilot and big data projects there before joining the startup.

A former Tesla supply chain analyst, who asked not to be named in order to discuss sensitive matters, told CNBC that Musk has always considered his companies as an extension of his persona and believed he can do whatever he wants with them. That includes Tesla’s 2016 acquisition of SolarCity, where he was chairman and a top shareholder.

However, the person said, redirecting a large shipment of chips from Tesla to X is extreme, given the scarcity of Nvidia’s technology. The decision means the automaker willingly gave up precious time that could have been used to build out its supercomputer cluster in Texas or New York and advance the models behind its self-driving software and robotics.

WATCH: Nvidia is a one of one company

Nvidia is a 'one-of-one company,' says FirstMark's Rick Heitzmann

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Taiwan blacklists China’s Huawei and SMIC, further aligning with U.S. trade policy

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Taiwan blacklists China's Huawei and SMIC, further aligning with U.S. trade policy

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. 

The two leading Chinese chip firms have been put on Taiwan’s “Strategic High-Tech Commodities Entity List,” along with many of their international subsidiaries.

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. 

UBS GWM: Taiwan's security means it needs to remain relevant to the world, including China

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 April, the U.S. reaffirmed its commitment to support the existing status quo as China conducted large-scale military exercises off the coast of the island.

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. 

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AI is disrupting the advertising business in a big way — industry leaders explain how

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AI is disrupting the advertising business in a big way — industry leaders explain how

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.

Outgoing WPP CEO says AI will 'revolutionize' advertising business

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.”

Read more CNBC tech news

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.

AI is moving from curiosity to action, Publicis' Maurice Levy says

“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.”

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Nvidia-mania took over Europe this week. Here’s what I learned from Jensen Huang

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Nvidia-mania took over Europe this week. Here's what I learned from Jensen Huang

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.

The draw of Huang is huge

Huang is truly the current rockstar of the tech world.

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.

Nvidia CEO: Huawei ‘has got China covered’ if the U.S. doesn’t participate

“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

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.

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