Peter Thiel, once one of Donald Trump’s major financial backers in the tech industry, said Thursday that even though he’s not providing money to the Republican presumptive nominee’s campaign this time around, he’d vote for him over President Joe Biden.

“If you hold a gun to my head, I’ll vote for Trump,” Thiel said in an interview on stage at the Aspen Ideas Festival. “I’m not going to give any money to his super PAC.”

Thiel donated $1.25 million to Trump’s campaign in 2016 at a time when the vast majority of tech money was going to Democratic rival Hillary Clinton. Thiel, best known for an early bet on Facebook and for co-founding Palantir, also spoke at the Republican National Convention that year and, after the election, helped organize a meeting between Trump and top execs at Amazon, Apple, Google, Tesla and several other giant tech companies.

However, Thiel later soured on Trump and said last year that he wouldn’t be funding any politician in the 2024 presidential campaign. That’s after he spent $32 million on Republican candidates in the 2022 midterm elections with mixed results.

In Ohio, Trump’s pick, Republican J.D. Vance, defended a GOP-held seat against Democratic Rep. Tim Ryan. But in Arizona, Republican Blake Masters failed in his bid to unseat Democratic Sen. Mark Kelly.

WATCH: Tech for Trump

Apple, Microsoft, Amazon and Google were the four leading global brands at the end of 2023, according to consulting firm Interbrand. They’re are also four of the world’s five most valuable companies.

The other is Nvidia, which for a time this week, surpassed Microsoft to become the largest company in the world by market cap.

But despite its $3.1 trillion valuation (it reached $3.3 trillion before a two-day slide), Nvidia doesn’t even crack the top 100 most iconic names on Interbrand’s most recent list, which is populated by such companies as McDonald’s, Starbucks, Disney and Netflix.

Nvidia’s historic rise in valuation — the stock has climbed almost ninefold since the end of 2022 — has been driven almost entirely by demand for its graphics processing units (GPUs) that are at the heart of the boom in generative artificial intelligence and, more broadly, by the hype over AI. Nvidia has over 80% of the market for chips used to train and deploy AI software like ChatGPT. A handful of huge tech companies are the primary buyers of its chips.

The speed of Nvidia’s ascent and its relative lack of contact with consumers along the way combines to put the 31-year-old company’s brand recognition on Main Street far behind its allure on Wall Street. No. 100 on Interbrand’s list for 2023 is Japanese camera maker Canon, with Dutch brewer Heineken at No. 99.

“As a product company recently moving onto a global stage, Nvidia has not had time, nor has it dedicated resources, to change its role of brand and strengthen its brand to protect future revenue,” Greg Silverman, Interbrand’s global director of brand economics, said in an email. The risk for Nvidia, Silverman added, is that its “weak brand strength will limit how valuable it will be, despite its market cap heights.”

A spokesperson for Nvidia declined to comment.

Nvidia’s annual revenue growth has exceeded 200% in each of the past three quarters. For fiscal 2025, revenue is expected to almost double from a year earlier to over $120 billion, according to LSEG.

The company’s data center GPUs, which made up 85% of sales in the most recent quarter, are installed in massive facilities, and typically require a team of expensive data science and supercomputing experts to configure them to efficiently create AI software.

By contrast, Apple, ranked No. 1 by Interbrand, makes the vast majority of its money by selling iPhones and other devices to consumers across the globe. Microsoft, ranked second, is an enterprise sales giant, but is ubiquitously known for its Windows and Office software. Third-ranked Amazon strives to be consumers’ everything store, and No. 4 Google is, for many people, the front door to the internet.

Rounding out Interbrand’s top 10 are South Korean electronics giant Samsung, along with three car companies (Toyota, Mercedes-Benz and BMW), Coca-Cola and Nike.

Further down the list, at No. 24, is Nvidia rival Intel, which is best known for making the processor at the heart of laptops and PCs and for its long-running “Intel Inside” advertising campaign. Even Hewlett Packard Enterprise, a company that builds servers, made the list at No. 91.

However, a competing survey shows that Nvidia’s brand value is catching up to that of its peers.

In a ranking of the 100 most valuable global brands published this month by Kantar BrandZ, Nvidia landed at No. 6, leaping 18 places from its prior survey. The brand’s overall valued jumped 178% in a year to an estimate of about $202 billion. Kantar surveys enterprise buyers to evaluate brands that primarily sell to other businesses to come up with a total estimate of brand value.

“Nvidia is pound for pound as relevant and meaningful to that B2B buyer that’s looking to make big, large purchases in-house for their company as Apple is to the consumer who’s buying an iPad or a Mac,” Marc Glovsky, senior brand strategist at Kantar, told CNBC.

And while Nvidia may not be a name known to your parents — or your kids — it does have resonance in a particular corner of the consumer world. Just ask your hard-core gaming buddy.

When Nvidia was founded in 1991, AI was a nascent field. The company’s primary focus was on designing chips that could draw digital triangles quickly, a basic capability that led to a huge expansion in 3D games.

For years, Nvidia, and its GeForce brand and green logo were well known to the type of people who tweaked their computers to run the most advanced games. Nvidia provides the chips for the Nintendo Switch console, which has shipped over 140 million units around the world.

Unlike Intel, Nvidia never put its name in front of consumers with flashy ad campaigns. And gaming is now just a nice side business for chipmaker. In the latest quarter, it accounted for $2.6 billion of revenue, or 10% of total sales, rising 18% year over year.

When it comes to Nvidia’s most important products, companies and institutions vying for its AI chips have to go through an extensive quoting and sales process, often through a computer-equipment company, like Dell or HPE. Those vendors sell complete systems, including memory, a central processor and other parts. Even experts who want to train AI models are more likely to rent Nvidia access through a cloud provider than build their own server clusters.

Still, Nvidia’s name recognition is rapidly increasing. Among retail investors, Nvidia has emerged as the most widely held stock, according to data collected and published last month by Vanda Research.

And while the name didn’t make Interbrand’s top 100 list for 2023, the firm’s data shows its brand awareness quadrupled in the past 12 months, which will help when it’s time for the next ranking, Silverman said.

Maybe by then people will know how to say its name, a topic that’d been the source of debate on obscure gaming forums. The company pronounces it en-VID-ia.

WATCH: The ‘Magnificent Seven’ should have another good earnings season

California’s labor regulator on Tuesday said it fined Amazon nearly $6 million for violating a state law aimed at curtailing the use of onerous warehouse productivity quotas.

The California Labor Commissioner’s Office said it investigated two Amazon facilities in Moreno Valley and Redlands, both located east of Los Angeles, and found 59,017 violations of the state’s Warehouse Quotas law, officials said. Productivity quotas have become a common source of consternation among Amazon workers.

The Warehouse Quotas law went into effect in 2022 and requires employers to disclose productivity quotas to employees and government agencies, as well as any discipline workers may face for not meeting them. The law also prohibits employers from requiring warehouse employees to meet unsafe quotas preventing them from taking state-mandated meal and rest breaks or using the bathroom.

Amazon “failed to provide written notice of quotas,” the Labor Commissioner’s office said Tuesday. The company argued it doesn’t need quotas because it uses a “peer-to-peer evaluation system,” officials said.

“The peer-to-peer system that Amazon was using in these two warehouses is exactly the kind of system that the Warehouse Quotas law was put in place to prevent,” Labor Commissioner Lilia Garcia-Brower said in a statement.

Amazon has in recent years faced scrutiny over how it treats its warehouse and delivery employees. Regulators and critics have specifically zeroed in on the pace of work, arguing that the speed requirements put workers at greater risk of injury.

Washington safety regulators in 2022 fined Amazon for “willfully” violating workplace safety laws by requiring employees to work at such a fast pace that it put them at higher risk of musculoskeletal disorders or problems such as sprains and strains often caused by repetitive tasks.

The Labor Department’s Occupational Safety and Health Administration has also cited Amazon numerous times for safety violations. Amazon has said it would appeal all the citations.

States including New York, Washington and Minnesota have passed similar regulations, and a federal bill was introduced last month by Sen. Ed Markey, D-Mass.

Amazon, the second-largest private employer in the U.S., has previously said it doesn’t use fixed quotas. Rather, the company said, it relies on “performance expectations” that factor in multiple indicators, such as how certain teams at a site are performing. It’s also disputed allegations that employees don’t get enough breaks.

Amazon has also defended its safety record. The company said in March that its injury rates have improved, and it announced plans to invest more than $750 million in safety initiatives this year.

Maureen Lynch Vogel, an Amazon spokesperson, said the company disagrees with the allegations and has filed an appeal.

“The truth is, we don’t have fixed quotas,” she wrote in an email. “At Amazon, individual performance is evaluated over a long period of time, in relation to how the entire site’s team is performing. Employees can – and are encouraged to – review their performance whenever they wish. They can always talk to a manager if they’re having trouble finding the information.”

WATCH: Amazon’s worker safety hazards come under fire from regulators and the DOJ

The entire value of the S&P 500 currently stands at $45.5 trillion, according to FactSet. Tesla CEO Elon Musk claimed on Thursday that his company’s Optimus humanoid robots could eventually make the automaker worth more than half of that.

Musk, who characterized himself as “pathologically optimistic” at the 2024 annual shareholder meeting in Austin, Texas, said Tesla is embarking on not just a “new chapter” in its life, but is about to write an entirely “new book.” Optimus appears to be one of the main characters.

Tesla first revealed its plans to work on humanoid robots in 2021 at an AI Day event, trotting out a dancer in a unitard that looked like a sleek, androgynous robot.

In January, Tesla showed off Optimus robots folding laundry in a demo video that was immediately criticized by robotics engineers for being deceptive. The robots were not autonomous, but were rather being operated with humans at the controls.

At the shareholder event on Thursday, Musk didn’t divulge exactly what Optimus can do today. He suggested the robots some day will perform like R2-D2 and C-3PO in Star Wars. They could cook or clean for you, do factory work, or even teach your children, Musk suggested.

As for shareholder value, Musk said Optimus could be the catalyst for lifting Tesla’s market cap to $25 trillion someday.

Speaking to a crowd consisting mostly of fawning fanboys in an auditorium at the Gigafactory, Musk promised Tesla would move into “limited production” of Optimus in 2025 and test out humanoid robots in its own factories next year.

The company, he predicted, will have “over 1,000, or a few thousand, Optimus robots working at Tesla” in 2025.

This is all far-out stuff even for Musk, who is notorious for making ambitious promises to investors and customers that don’t pan out — from developing software that can turn an existing Tesla into a self-driving vehicle with an upload, to EV battery swapping stations.

Getting to a $25 trillion market cap would mean that Tesla would be worth about eight times Apple’s value today. The iPhone maker is currently the world’s biggest company by market cap, just ahead of Microsoft.

At Thursday’s close, Tesla was valued at about $580 billion, making it the 10th most valuable company in the S&P 500.

Musk didn’t provide a timeframe for reaching $25 trillion. He did say that autonomous vehicles could get the company to a market cap of $5 trillion to $7 trillion.

Musk said he agreed with numbers from long-time Tesla bull Cathie Wood, the CEO of ARK Invest. This week, ARK put a $2,600 price target on Tesla’s stock by 2029, betting on a commercial robotaxi business that the company has yet to enter.

Wood’s price target equals a market cap for Tesla of over $8 trillion.

Musk’s comments at the annual meeting followed the shareholder vote to reinstate the CEO’s $56 billion pay plan, five months after a Delaware court ordered the company to rescind the package. The crowd cheered when the proposal was read aloud, and when preliminary results were announced.

Taking the stage following the readout of the shareholder votes, Musk said, “I just want to start off by saying hot d—! I love you guys.”

Tesla shares have dropped 27% this year as the company reckons with a sales decline that’s tied in part to an aging lineup of electric vehicles and increased competition in China. The company has also implemented steep layoffs. Musk has encouraged investors to look past the current state of the business and more toward a future of autonomous driving, robots and artificial intelligence.

Among his boldest claims on Thursday was Musk’s declaration that Tesla had advanced so far in developing silicon that it’s surpassed Nvidia when it comes to inference, or the process that trained machine learning models use to draw conclusions from new data.

Nvidia shares have soared almost nine-fold since the end of 2022, driven by demand for its AI chips. The company is now worth about $3.2 trillion.

One concern swirling around Musk is his focus on Tesla given all of his other commitments. He owns and runs social media company X, is CEO of SpaceX, and founded The Boring Co. and Neuralink. He launched another startup, xAI, in March last year and the company recently raised $6 billion in venture funding.

Musk was asked by a shareholder at the meeting how important he is, personally, to the future of Tesla.

“I’m a helpful accelerant to that future,” he said, emphasizing his role in innovation.

He said that, when it comes to humanoid robots, other companies, including tech startups, are going after the market. Competitors include Boston Dynamics, Agility, Neura and Apptronik.

“What really matters is, can we be much faster than everyone else and our product be done a few years before theirs and be better,” Musk said.

WATCH: Tesla shareholders approve Musk’s $56 billion pay package

Databricks, the data analytics software vendor that’s among the most richly valued private U.S. tech companies, told investors on Wednesday that annualized revenue will reach $2.4 billion by the midpoint of this year.

Annualized sales through July, or the first six months of fiscal 2025, will increase 60% from a year earlier, Databricks CFO Dave Conte said at an investor briefing concurrent with the company’s Data and AI Summit in San Francisco on Wednesday.

Databricks’ growth contrasts with parts of the software industry that have continued to struggle since soaring inflation and rising interest rates in 2022 put an end to the extended bull market. In recent weeks Okta, Salesforce, UiPath and other software companies have blamed disappointing results or guidance on the economy or other macro issues.

“Obviously there’s some volatility going on in enterprise software, but I’ve been really eager to get up and share how we’re performing financially,” Conte said. “It’s pretty exciting.”

Databricks is one of a handful of prominent venture-backed software makers that have long been on the path to an IPO. Others include Canva, Figma and Stripe. However, the IPO market has been quiet for over two years, even with some activity in 2024. In April, security software company Rubrik debuted on the New York Stock Exchange.

While Conte didn’t provide an update on Databricks’ plans to go public, he did say that business is strengthening. In March, the company told media outlets outlets that it generated $1.6 billion in revenue for the year ending Jan. 31, up more than 50% year over year. The 11-year-old startup had an annualized run rate of $1.5 billion and 50% growth for the quarter that ended July 31, 2023.

When it issued those figures in September, Databricks said it had raised $500 million in funding, valuing the company at $43 billion. Top competitor Snowflake, which debuted on the NYSE in 2020, was valued at $43.6 billion at the end of Wednesday’s trading session.

In the January quarter, Databricks saw 221 transactions that exceeded $1 million, Conte said. Existing clients are spending more, and the company is adding Fortune 500 clients, he said. Net revenue retention in the 2024 fiscal year, which ended in January, was higher than 140%. That figure indicates growth from existing customers.

Meanwhile, Databricks is investing in growth. Research and development spending as a percentage of revenue was 33% in each of the past three fiscal years, compared with 19% for its peer group and 23% for a group of 89 companies that have gone public since 2018, Conte said. Databricks’ subscription gross margin for the 2024 fiscal year was above 80%.

Databricks CEO Ali Ghodsi told reporters in a briefing on Wednesday that some growth is coming from the data warehouse product the company launched in 2020. That business topped $400 million in annualized revenue.

“I think by any B2B standard, it’s one of the fastest-growing probably out there,” Ghodsi said.

Databricks and Snowflake have been trying to reduce costs of cleaning up and running queries for clients by using a standard format called Apache Iceberg. Last week Databricks said it was paying over $1 billion to buy Tabular, a startup whose founders created Iceberg. Snowflake was also bidding for Tabular, CNBC reported.

WATCH: Everybody is interested in building their own AI models today, says Databricks CEO

For years, Apple avoided using the acronym AI when talking about its products. Not anymore.

The boom in generative artificial intelligence, spawned in late 2022 by OpenAI, has been the biggest story in the tech industry of late, lifting chipmaker Nvidia to a $3 trillion market cap and causing a major shifting of priorities at Microsoft, Google and Amazon, which are all racing to add the technology into their core services.

Investors and customers now want to see what the iPhone maker has in store.

New AI features are coming at Apple’s Worldwide Developers Conference (WWDC), which takes place on Monday at Apple’s campus in Cupertino, California. Apple CEO Tim Cook has teased “big plans,” a change of approach for a company that doesn’t like to talk about products before they’re released.

WWDC isn’t typically a major investor attraction. On the first day, the company announces annual updates to its iOS, iPadOS, WatchOS and MacOS software in what’s usually a two-hour videotaped keynote launch event emceed by Cook. This year, the presentation will be screened at Apple’s headquarters. App developers then get a week of parties and virtual workshops where they learn about the new Apple software.

Apple fans get a preview of the software coming to iPhones. Developers can get to work updating their apps. New hardware products, if they appear at all, are not the showcase.

But this year, everyone will be listening for the most hyped acronym in tech.

With more than 1 billion iPhones in use, Wall Street wants to hear what AI features are going to make the iPhone more competitive against Android rivals and how the company can justify its investment in developing its own chips.

Investors have rewarded companies that show a clear AI strategy and vision. Nvidia, the primary maker of AI processors, has seen its stock price triple in the past year. Microsoft, which is aggressively incorporating OpenAI into its products, is up 28% over the past year. Apple is only up 9% over that same period, and has seen the other two companies surpass it in market cap.

“This is the most important event for Cook and Cupertino in over a decade,” Dan Ives, an analyst at Wedbush, told CNBC. “The AI strategy is the missing piece in the growth puzzle for Apple and this event needs to be a showstopper and not a shrug-the-shoulders event.”

Taking the stage will be executives including software chief Craig Federighi, who will likely address the real-life uses of Apple’s AI, whether it should be run locally or in massive cloud clusters and what should be built into the operating system versus distributed in an app.

Privacy is also a key issue, and attendees will likely want to know how Apple can deploy the data-hungry technology without compromising user privacy, a centerpiece of the company’s marketing for over half a decade.

“At WWDC, we expect Apple to unveil its long-term vision around its implementation of generative AI throughout its diverse ecosystem of personal devices,” wrote Gil Luria, an analyst at D.A. Davidson, in a note this week. “We believe that the impact of generative AI to Apple’s business is one of the most profound in all of technology, and unlike much of the innovation in AI that’s impacting the developer or enterprise, Apple has a clear opportunity to reach billions of consumer devices with generative AI functionality.”

Last month, OpenAI revealed a voice mode for its AI software called ChatGPT-4o.

In a short demo, OpenAI researchers held an iPhone and spoke directly to the bot inside the ChatGPT app, which was able to do impressions, speak fluidly and even sing. The conversation was snappy, the bot gave advice and the voice sounded like a human. Further demos at the live event showed the bot singing, teaching trigonometry, translating and telling jokes.

Apple users and pundits immediately understood that OpenAI had demoed a preview of what Apple’s Siri could be in the future. Apple’s voice assistant debuted in 2011 and since has gained a reputation for not being useful. It’s rigid, only able to answer a small proportion of well-defined queries, partially because it’s based on older machine learning techniques.

Apple could team up with OpenAI to upgrade Siri next week. It’s been discussing licensing chatbot technology from other companies, too, including Google and Cohere, according to a report from The New York Times.

Apple declined to comment on an OpenAI partnership.

One possibility is that Apple’s new Siri won’t compete directly with fully featured chatbots, but will improve its current features, and toss off queries that can only be answered by a chatbot to a partner. It’s close to how Apple’s Spotlight search and Siri work now. Apple’s system tries to answer the question, but if it can’t, it turns to Google. That agreement is part of a deal worth $18 billion per year to Apple.

Apple might also shy away from a full-throated embrace of an OpenAI partnership or chatbot. One reason is that a malfunctioning chatbot could generate embarrassing headlines, and could undermine the company’s emphasis on user privacy and personal control of user data.

“Data security will be a key advantage for the company and we expect them to spend time talking about their privacy efforts during the WWDC as well,” Citi analyst Atif Malik said in a recent note.

OpenAI’s technology is based on web scraping, and ChatGPT user interactions are used to improve the model itself, a technique that could violate some of Apple’s privacy principles.

Large language models like OpenAI’s still have problems with inaccuracies or “hallucinations,” like when Google’s search AI said last month that President Barack Obama was the first Muslim president. OpenAI CEO Sam Altman recently found himself in the middle of a thorny societal debate about deepfakes and deception when he denied accusations from actress Scarlett Johansson that OpenAI’s voice mode had ripped off her voice. It’s the kind of conflict that Apple executives prefer to avoid.

Outside of Apple, AI has become reliant on big server farms using powerful Nvidia processors paired with terabytes of memory to crunch numbers.

Apple, by contrast, wants its AI features to run on iPhones, and iPads, and Macs, which operate on battery power. Cook has highlighted Apple’s own chips as superior for running AI models.

“We believe in the transformative power and promise of AI, and we believe we have advantages that will differentiate us in this new era, including Apple’s unique combination of seamless hardware, software, and services integration, groundbreaking Apple Silicon with our industry-leading neural engines, and our unwavering focus on privacy,” Cook told investors in May on an earnings call.

Samik Chatterjee, an analyst at JPMorgan, wrote in a note this month that, “We expect Apple’s presentation at WWDC keynote to be focused on the features and the on-device capabilities as well as the GenAI models being run on-device to enable those features.”

In April, Apple published research about AI models it calls “efficient language models” that would be able to run on a phone. Microsoft is also publishing research on the same concept. One of Apple’s “OpenELM” models has 1.1 billion parameters, or weights — far smaller than OpenAI’s 2020 GPT-3 model which has 175 billion parameters, and smaller even than the 70 billion parameters in one version of Meta’s Llama, which is one of the most widely used language models.

In the paper, Apple’s researchers benchmarked the model on a MacBook Pro laptop running Apple’s M2 Max chip, showing that these efficient models don’t necessarily need to connect to the cloud. That can improve response speed, and provide a layer of privacy, because sensitive questions could be answered on the device itself, rather than being sent back to Apple servers.

Some of the features built into Apple’s software could include providing users a summary of their missed text messages, image generation for new emojis, code completing in the company’s development software Xcode, or drafting email responses, according to Bloomberg.

Apple could also decide to load up its M2 Ultra chips in its data centers to process AI queries that need more horsepower, Bloomberg reported.

WWDC won’t strictly be about AI.

The company has more than 2.2 billion devices in use, and customers want improved software and new apps.

One potential upgrade could be Apple’s adoption of RCS, an improvement to the older system of text messaging known as SMS. Apple’s messages app diverts texts between iPhones to its own iMessage system, which displays conversations as blue bubbles. When an iPhone texts an Android phone, the bubble is green. Many features such as typing notifications aren’t available.

Google led development of RCS, adding encryption and other features to text messaging. Late last year Apple confirmed that it would add support for RCS alongside iMessage. The debut of iOS 18 would be the logical time to show its work.

The conference will also be the first anniversary of Apple’s reveal of the Vision Pro, its virtual and augmented reality headset, which was released in the U.S. in February. Apple could announce its expansion to more countries, including China and the U.K.

Apple said in its WWDC announcement that the Vision Pro would be in the spotlight. Vision Pro is currently on the first version of its operating system, and core features, such as its Persona videoconferencing simulation, are still in beta.

For users with a Vision Pro, Apple will offer some of its virtual sessions at the event in a 3D environment.

AUSTIN — For five years, bitcoin miner Core Scientific has quietly been diversifying out of mining and into artificial intelligence, a market that will require immense amounts of power to handle the training of AI models and the massive workloads that follow.

The move is no longer a secret.

On Monday, Core Scientific announced a 12-year deal with cloud provider CoreWeave to provide infrastructure for use cases like machine learning. Core Scientific said the agreement, which expands upon an existing partnership between the two companies, will add revenue of more than $3.5 billion over the course of the contract.

CoreWeave, backed by Nvidia, rents out graphics processing units (GPUs), which are needed for training and running AI models. CoreWeave was valued at $19 billion in a funding round last month. Core Scientific will deliver about 200 megawatts of infrastructure to CoreWeave’s operations.

Core Scientific, which emerged from bankruptcy in January, has been mining a mix of digital assets since 2017. The company began to diversify into other services in 2019.

“The best way to think about bitcoin mining facilities is that we are essentially power shells to the data center industry,” Core Scientific CEO Adam Sullivan told CNBC.

Sullivan jumped into the role of CEO while the company was still in the throes of bankruptcy, which resulted from the collapse of bitcoin in 2022. Since then, the former investment banker has settled debts with angry lenders and further beefed up the company’s non-bitcoin business as it reentered the public market.

Though Core is up more than 40% since relisting earlier this year, its market capitalization of around $865 million is significantly lower than its valuation of $4.3 billion in July 2021.

Demand for AI compute and infrastructure surged after OpenAI unveiled ChatGPT in Nov. 2022, setting off a rush of investment in AI models and startups. Meanwhile, Core Scientific and other miners like Bit Digital, Hive, Hut 8, and TeraWulf have been looking to bolster their revenue streams after the so-called bitcoin halving in April cut rewards paid out to bitcoin miners by 50%.

Many have been retrofitting their massive facilities to meet the needs of the market.

“Bitcoin miners, often stationed in energy-secure and energy-intensive data centers, find these facilities ideal for AI operations as well,” said James Butterfill, head of research at digital asset firm CoinShares.

Butterfill said the the overlap is leading to a competition for rack space between bitcoin mining and AI activities. While AI operations require up to 20 times the capital expenditure of bitcoin mining, they’re more profitable, according to a report from CoinShares.

“The introduction of AI activities leads to increased depreciation and amortization, which can enhance gross profit margins,” Butterfill said.

According to CoinShares, Bit Digital derives 27% of its revenue from AI. Hut 8 generates 6% of sales from AI, and Hive, which has data centers in Canada and Sweden, gets 4% of its revenue from these services.

Hut 8 said in its first-quarter earnings report that it had purchased its first batch of 1,000 Nvidia GPUs and secured a customer agreement with a venture-backed AI cloud platform as part of its expansion into new technologies offering higher returns.

“We finalized commercial agreements for our new AI vertical under a GPU-as-a-service model, including a customer agreement which provides for fixed infrastructure payments plus revenue sharing,” said Hut 8 CEO Asher Genoot.

Genoot added that the company expects to begin generating revenue in the second half of the year at an annual rate of about $20 million.

Bit Digital had 251 servers actively generating revenue from its first AI contract as of the end of April, and the company said it earned about $4.1 million of revenue from the operation that month.

Iris Energy expects to generate between $14 million and $17 million in annual revenue from its AI cloud services. Core Scientific’s expanded arrangement with CoreWeave is expected to produce annual revenue of $290 million.

“While we intend to remain one of the largest and most productive bitcoin miners, we expect to have a diversified business model and more predictable cash flows,” Sullivan said.

Bitcoin’s volatility has made mining a challenging business.

Though bitcoin is currently up more than 150% in the past year to around $69,000, the bear market of 2022 sent many miners into bankruptcy or forced them to shutter altogether.

Pivoting to AI isn’t as simple as repurposing existing infrastructure and machines, because high-performance computing (HPC) data center requirements are different, as are the needs of the data network.

“Besides transformers, substations, and some switch gear nearly all infrastructure miners currently have would need to be bulldozed and built from the ground up to accommodate HPC,” Needham analysts wrote in a report on May 30.

The rigs used to mine bitcoin are called Application-Specific Integrated Circuits (ASICs). They’re built specifically for crypto mining and can’t be used to do other things.

Needham estimates that HPC data centers run at $8 million to $10 million per megawatt in capex, excluding GPUs, whereas bitcoin mining sites typically operate at $300,000 to $800,000 per megawatt in capex, not including ASICs.

Core’s Sullivan says there’s a lot of synergy between the two businesses.

“One of the most exciting parts about the bitcoin mining business is we have access to large amounts of power across the United States with access to fiber lines,” he said.

Beyond its partnership with CoreWeave, Core Scientific has also announced that over the next three to four years, it’s working to convert 500 megawatts of its bitcoin mining infrastructure across the country to HPC data centers.

Sullivan said the retrofit is manageable because the company owns and controls all of its data center infrastructure.

“There are components that we have to purchase to retrofit for HPC, but it is things that we can easily acquire,” he said.

In the next one to two years, Needham analysts estimate that large publicly traded bitcoin miners are expected to more than double power capacity, including both their mining and HPC business expansion plans.

Clean energy is a popular choice because it’s the cheapest power source in many markets. Miners at scale compete in a low-margin industry, where their only variable cost is typically energy, so they’re incentivized to migrate to the world’s cheapest sources of power. An industry report estimates the bitcoin network is 54.5% powered by sustainable electricity.

The Electric Power Research Institute estimates that data centers could take up to 9% of the country’s total electricity consumption by 2030, up from around 4% in 2023. Tapping into nuclear energy is seen by many as the answer to meeting that demand.

TeraWulf powers its mining sites with nuclear energy, and is looking to get into machine learning. So far, the firm has two megawatts dedicated to HPC capacity, though it has plans to transition its energy infrastructure toward AI and HPC.

OpenAI CEO Sam Altman told CNBC last year that he’s a big believer in nuclear when it comes to serving the needs of AI workloads.

“I don’t see a way for us to get there without nuclear,” Altman said. “I mean, maybe we could get there just with solar and storage. But from my vantage point, I feel like this is the most likely and the best way to get there.”

WATCH: Nvidia closes at another record high

Former President Donald Trump’s campaign debuted an official account on TikTok on Saturday night, the social media platform facing a potential ban in the U.S.

“It’s my honor,” Trump said in his first TikTok post under the handle “@realdonaldtrump,” followed by a montage of him waving to crowds at a Saturday Ultimate Fighting Championship show. That post received 1.5 million likes within 10 hours of going online.

Trump’s TikTok rollout came as his own social media company, Trump Media, took a financial tumble in the wake of the historic verdict that convicted the former president on 34 felony counts in his Manhattan hush money trial.

Trump Media, the parent company of Truth Social trading under the DJT ticker, was down over 5% at market close on Friday, the day after Trump’s conviction, with shares priced at $49. Immediately following Trump’s conviction on Thursday, the stock was down roughly 15% in extended trading hours.

Trump launched Truth Social in early 2022 as an alternative, “non-woke” social media platform after he was banned from sites like Twitter and Facebook following the Jan. 6 Capitol riots. Since then, Trump Media has gone public and the former president now holds a 65% stake in the company.

Truth Social did not immediately respond to CNBC’s request for comment about Trump’s move to TikTok.

Trump is several months later than his Democratic opponent, President Joe Biden, whose reelection campaign launched on TikTok in February. But the presumptive Republican presidential nominee already had over 2 million followers on Sunday, outpacing the Biden campaign’s near 340,000.

The disparity in those follower counts is typical for social media accounts directly attached to a specific candidate, which generally tend to outperform accounts associated with a campaign. For example, as of Sunday, Trump’s direct Truth Social account, “@realDonaldTrump” had over 7 million followers, while his campaign account, “@TeamTrump” had 427,000.

“We refuse to cede any ground to Biden and the Democrats,” Trump campaign spokesperson Karoline Leavitt said in a statement to NBC News on Sunday. “We will get President Trump’s winning message to every voter possible. He has already gained significant ground with young voters and this is another way to reach them.”

Both candidates joined TikTok despite previously vocalizing national security concerns about the app.

In April, Biden signed into law a foreign aid package with a clause to force TikTok’s Chinese parent company, ByteDance, to sell the app or else the platform would face a national ban in the U.S.

During his administration, Trump also said he would try to ban TikTok, though he has since flipped that stance. Still, he told CNBC’s “Squawk Box” in a March interview that he believes TikTok could threaten U.S. national security.

Salesforce shares plummeted as much as 17% in extended trading on Wednesday after the cloud software vendor reported weaker-than-expected revenue and issued guidance that trailed Wall Street’s expectations.

Here’s how the company did, compared to the LSEG consensus:

• Earnings per share: $2.44 adjusted vs. $2.38 expected
• Revenue: $9.13 billion vs. $9.17 billion expected

Salesforce called for adjusted earnings per share in the current quarter of $2.34 to $2.36 on $9.2 billion to $9.25 billion in revenue. Analysts surveyed by LSEG had expected $2.40 in adjusted earnings per share on $9.37 billion in revenue.

Revenue in the fiscal first quarter, which ended April 30, increased 11% from $8.25 billion a year earlier, Salesforce said in a statement. It is the first time since 2006 that Salesforce fell short on revenue, according to LSEG data.

Salesforce saw budget scrutiny and longer deal cycles than usual during the quarter, president and operating chief Brian Millham told analysts on a conference call. Management implemented go-to-market changes that cut into bookings, Millham said.

All five of Salesforce’s product areas contributed to the growth. But revenue from the Professional Services and Other category, at $548 million, was down 9% and under the StreetAccount consensus of $572.9 million.

Net income jumped to $1.53 billion, or $1.56 per share, from $199 million, or 20 cents per share a year ago.

Salesforce lifted its earnings forecast for the 2025 fiscal year. The company now expects adjusted earnings of $9.86 to $9.94 per share, compared to $9.68 to $9.76 three months ago. Its revenue guidance remains at $37.7 billion to $38 billion. Analysts polled by LSEG were looking for $9.76 in adjusted earnings per share and $38.08 billion in revenue.

Amy Weaver, Salesforce’s finance chief, said she expects deal compression and slowing projects in the professional services business through the current fiscal year.

During the quarter, Salesforce started selling its Einstein Copilot assistant sales and customer service representatives. The company also said all paid Slack customers were gaining access to artificial intelligence features such as conversation summaries and daily recaps. The Wall Street Journal reported that Salesforce was in talks to buy data-integration company Informatica, but weeks later, the newspaper said talks had collapsed.

Weaver said Salesforce acquisitions would need “a clear timeline to value accretion.”

Before the after-hours move, Salesforce shares were up 3.5% so far this year, trailing the S&P 500 index, which is up around 11% during the same period. A drop of this magnitude on Thursday would mark Salesforce’s worst day on the market since the 2008 financial crisis.

— CNBC’s Robert Hum contributed to this report.

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