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Intel’s CEO Lip-Bu Tan speaks at the company’s Annual Manufacturing Technology Conference in San Jose, California, U.S. April 29, 2025.

Laure Andrillon | Reuters

When Lip-Bu Tan was named CEO of Intel a little over two months ago, he brought with him plenty of name recognition. Tan spent 12 years running Cadence Design Systems and before that was a prominent venture capitalist. He’s also held board seats at SoftBank and Hewlett Packard Enterprise.

“Lip-Bu’s Rolodex is like nobody else’s in the semiconductor industry,” Intel CFO David Zinsner said at a financial conference this month. Zinsner said Tan recently met with 22 potential customers and partners in a single day.

At age 65, Tan is going to need more than a vast database of contacts and four decades of operating and investing experience to turn around the company that put the silicon in Silicon Valley but is struggling to stay relevant in a market that’s increasingly centered around artificial intelligence.

Once the world’s largest chipmaker, Intel has lost 70% of its value since early 2020. It’s roughly flat since Tan was named as CEO on March 12.

Tan’s jam-packed schedule in large part reflects a need to change the industry’s perception of Intel. No longer the dominant player in semiconductors, Intel is trying to pivot into chip manufacturing, especially as the U.S. focuses on investing in onshoring critical technologies. Tan has been listening to customers to find out specific technical requirements they would need from Intel as a foundry, he’s said in public remarks.

Under Tan’s predecessor, Pat Gelsinger, Intel spent $90 billion between 2021 and 2024 on building the company’s foundry operations and unlocking additional U.S. government funding. Capital expenditures in 2025 are expected to reach $18 billion.

Investors, and eventually the board, lost trust in Gelsinger’s ability to generate much of a return on that investment, leading to his ouster late last year. In an industry where roadmaps and capital plans are measured in five-year increments, Tan is under pressure to start building confidence immediately.

Pat Gelsinger had the right plan to lead Intel, but patience ran out, says Futurum CEO Daniel Newman

“The foundry business, it operates at a different time scale,” said Alvin Nguyen, an analyst at Forrester. “It operates with a level of investment that is tough to stomach, and very few publicly traded companies can deal with it.”

Intel faces a plethora of other challenges that all predate Tan’s tenure. The company’s central processors, or CPUs, that for decades were the most expensive and important part in computers, have been supplanted by AI chips, primarily graphics processing units, or GPUs, from Nvidia. Meanwhile, Advanced Micro Devices has picked up substantial market share in CPUs and server chips, and Qualcomm has emerged as a big challenger as well.

Tan is working on an AI strategy under Sachin Katti, who was named chief technology officer in April after joining the company in 2021.

Tan was born in Malaysia and raised in Singapore. He moved to the U.S. in the 1970s and studied nuclear engineering at the Massachusetts Institute of Technology. He’s since touched just about every aspect of the chip industry.

Before joining Intel, he was CEO of Cadence, which makes electronic design automation, or EDA, software, widely used by engineers at fabless chip companies to design new processors. As a venture capitalist at Walden International, Tan invested in Semiconductor Manufacturing International Corporation, China’s national foundry, in 2001, and was on the board for over a decade.

He’s now betting on Intel, not just with his time but also his wallet. When he became CEO, he bought $25 million of shares, which he’ll have to hold in order to earn his full compensation over the next five years. 

Tan has been keeping a fairly low profile since starting the gig in March. He’s yet to sit for a press interview, and Intel declined to make Tan available for this story. But in his two public speeches as CEO at Intel events, he’s laid out elements of his strategy.

“We need to do a better job — make it easier for all of you to use our technology,” Tan said at a foundry event earlier this month. “We will rapidly embrace industrial standards, EDA tools and best design practices.”

One big customer

The fastest way to change the trajectory would be to announce a big foundry customer. Locking in substantial orders would serve as both a vote of approval to other potential customers and a signal to Wall Street that all those expenses will soon start turning into revenue.

“One Nvidia, one Qualcomm, one Apple, one something of volume that really shows this meaningful commitment for the fab to build significant volume would really change the whole narrative,” said Daniel Newman, CEO of industry research firm The Futurum Group.

Tan’s second public appearance as CEO came in April at Intel’s Foundry Direct Connect event in San Jose, California, a few miles from the company’s headquarters. There he hinted at one of his key objectives: rebuilding confidence.

“This is a truly a service business, and that is built on the foundational principle of trust,” Tan said. “You have to be patient to earn your trust.”

Intel wafers are displayed on stage at the company’s Annual Manufacturing Technology Conference in San Jose, California, U.S. April 29, 2025.

Laure Andrillon | Reuters

At the event, populated largely by people from the insular world of chip design and manufacturing, Tan directly addressed foundry customers, discussing the company’s specific technologies in power and packaging that put it in position to take on Taiwan Semiconductor Manufacturing Company, the largest foundry in the world.

Outside the convention center, banners still hung promoting the Nvidia GTC conference, which had taken place the prior month and packed the building’s ballroom.

Tan mostly acted like an emcee, calling up the CEOs of chip design partners such as Synopsys, Cadence and Siemens, who took the stage to discuss using Intel’s technology.

A key issue for Intel to address is the broadening of its foundry, which was originally designed for its own chip design teams, meaning some of the tools and infrastructure were company-specific. Intel has given the name 18A to its chip technology that it hopes to start producing in volume this year.

“One thing about 18A was, it was developed initially as just something for Intel, and we intercepted it relatively early,” Zinsner said earlier this month. That allowed the company to develop process design kits, or PDKs, “for the industry, but it still was not from the ground up developed as a foundry node,” he said.

Zinsner said the company’s next chip generation, 14A, will be built for external customers. Analysts say that 18A may be Intel’s first foundry process that could beat TSMC’s rival process to market.

Tan also recognizes that TSMC has created an industry standard, so using the same tools and technology would allow companies to more simply bring over work from other foundries. He said Intel is making its PDK easier to use.

“My top priority is to make it easier for the ecosystem to do business with Intel,” he said.

One of the speakers at the event was Anirudh Devgan, who succeeded Tan as CEO of Cadence. Tan asked Devgan what AI chip companies need to see if they’re to build on Intel. Devgan said the most important consideration is the need to focus on what the customer wants rather than what Intel prefers.

“Intel Foundry, as you all know, is like the service business, so the customer comes first,” Devgan said. “I know Lip-Bu has very good instincts to understand what the customer wants.”

It’s a stark change in approach for a company that for decades was focused on selling its own chips and not on creating an ecosystem. In a podcast earlier this year, TSMC founder Morris Chang said that Intel, during its glory years, acted “like they were the only guy with microprocessors.”

If there was a disappointment at the Intel event, it was the lack of an announcement about a major new customer.

Zinsner previously said, in response to a question about how many customers Intel had signed up for its foundry, that the company first needs to “eat its own dogfood,” indicating that the 18A process would be primarily used by Intel itself.  

Leaner company

While Tan looks outward for business development, he’s turning inward to try to fix corporate culture, flattening the organization, which grew fiercely in recent years as it staffed up to build the foundry unit.

Intel said on its April earnings call that job cuts will come this quarter, though the company didn’t provide a specific number. An Intel representative declined to comment on the matter. Intel announced in August, while Gelsinger was still in charge, that it was laying off 15,000 employees and would explore cuts in its portfolio.

Wall Street welcomes more belt tightening but warns that the company can’t cut its way to a successful revival.

Deutsche Bank’s Ross Seymour, who recommends holding the stock, wrote in a May note that, even with the “welcome and necessary cost-cutting actions,” the company’s “path to meaningful earnings/free cash flow generation remains cloudy and highly dependent on a turnaround” in the foundry business.

Equally important to Tan is getting rid of what he views as too much bureaucracy.

“It has been eye-opening for me to see how much time and energy is spent on internal administrative work that does not move our business forward,” Tan wrote, in a memo to employees in April.

He said Intel would have to learn how to do more with fewer people and that employees must be back in the office for at least four days a week by September.

“I’ve been surprised to learn that, in recent years, the most important KPI for many managers at Intel has been the size of their teams,” Tan wrote, referring to key performance indicators. “Going forward, this will not be the case.”

Tan also promoted several engineering leaders, giving him greater visibility into the organization. Zinsner said Tan has between 15 and 17 direct reports, because he wants to be closer to the “lowest” levels of the organization.

“He’s hearing the good, the bad, the ugly of what’s going on, so that he can help address those,” Zinsner said.

WATCH: Intel is dead money in its current strategic form, says Susquehanna Rolland

Intel is dead money in its current strategic form, says Susquehanna Rolland

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Oracle says there have been ‘no delays’ in OpenAI arrangement after stock slide

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Oracle says there have been 'no delays' in OpenAI arrangement after stock slide

Oracle CEO Clay Magouyrk appears on a media tour of the Stargate AI data center in Abilene, Texas, on Sept. 23, 2025.

Kyle Grillot | Bloomberg | Getty Images

Oracle on Friday pushed back against a report that said the company will complete data centers for OpenAI, one of its major customers, in 2028, rather than 2027.

The delay is due to a shortage of labor and materials, according to the Friday report from Bloomberg, which cited unnamed people. Oracle shares fell to a session low of $185.98, down 6.5% from Thursday’s close.

“Site selection and delivery timelines were established in close coordination with OpenAI following execution of the agreement and were jointly agreed,” an Oracle spokesperson said in an email to CNBC. “There have been no delays to any sites required to meet our contractual commitments, and all milestones remain on track.”

The Oracle spokesperson did not specify a timeline for turning on cloud computing infrastructure for OpenAI. In September, OpenAI said it had a partnership with Oracle worth more than $300 billion over the next five years.

“We have a good relationship with OpenAI,” Clay Magouyrk, one of Oracle’s two newly appointed CEOs, said at an October analyst meeting.

Doing business with OpenAI is relatively new to 48-year-old Oracle. Historically, Oracle grew through sales of its database software and business applications. Its cloud infrastructure business now contributes over one-fourth of revenue, although Oracle remains a smaller hyperscaler than Amazon, Microsoft and Google.

OpenAI has also made commitments to other companies as it looks to meet expected capacity needs.

In September, Nvidia said it had signed a letter of intent with OpenAI to deploy at least 10 gigawatts of Nvidia equipment for the San Francisco artificial intelligence startup. The first phase of that project is expected in the second half of 2026.

Nvidia and OpenAI said in a September statement that they “look forward to finalizing the details of this new phase of strategic partnership in the coming weeks.”

But no announcement has come yet.

In a November filing, Nvidia said “there is no assurance that we will enter into definitive agreements with respect to the OpenAI opportunity.”

OpenAI has historically relied on Nvidia graphics processing units to operate ChatGPT and other products, and now it’s also looking at designing custom chips in a collaboration with Broadcom.

On Thursday, Broadcom CEO Hock Tan laid out a timeline for the OpenAI work, which was announced in October. Broadcom and OpenAI said they had signed a term sheet.

“It’s more like 2027, 2028, 2029, 10 gigawatts, that was the OpenAI discussion,” Tan said on Broadcom’s earnings call. “And that’s, I call it, an agreement, an alignment of where we’re headed with respect to a very respected and valued customer, OpenAI. But we do not expect much in 2026.”

OpenAI declined to comment.

WATCH: Oracle says there have been ‘no delays’ in OpenAI arrangement after stock slide

Oracle says there have been 'no delays' in OpenAI arrangement after stock slide

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AI order from Trump might be ‘illegal,’ Democrats and consumer advocacy groups claim

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AI order from Trump might be ‘illegal,’ Democrats and consumer advocacy groups claim

“This is the wrong approach — and most likely illegal,” Sen. Amy Klobuchar, D-Minn., said in a post on X Thursday.

“We need a strong federal safety standard, but we should not remove the few protections Americans currently have from the downsides of AI,” Klobuchar said.

Trump’s executive order directs Attorney General Pam Bondi to create a task force to challenge state laws regulating AI.

The Commerce Department was also directed to identify “onerous” state regulations aimed at AI.

The order is a win for tech companies such as OpenAI and Google and the venture firm Andreessen Horowitz, which have all lobbied against state regulations they view as burdensome. 

It follows a push by some Republicans in Congress to impose a moratorium on state AI laws. A recent plan to tack on that moratorium to the National Defense Authorization Act was scuttled.

Collin McCune, head of government affairs at Andreessen Horowitz, celebrated Trump’s order, calling it “an important first step” to boost American competition and innovation. But McCune urged Congress to codify a national AI framework.

“States have an important role in addressing harms and protecting people, but they can’t provide the long-term clarity or national direction that only Congress can deliver,” McCune said in a statement.

Sriram Krishnan, a White House AI advisor and former general partner at Andreessen Horowitz, during an interview Friday on CNBC’s “Squawk Box,” said that Trump is was looking to partner with Congress to pass such legislation.

“The White House is now taking a firm stance where we want to push back on ‘doomer’ laws that exist in a bunch of states around the country,” Krishnan said.

He also said that the goal of the executive order is to give the White House tools to go after state laws that it believes make America less competitive, such as recently passed legislation in Democratic-led states like California and Colorado.

The White House will not use the executive order to target state laws that protect the safety of children, Krishnan said.

Robert Weissman, co-president of the consumer advocacy group Public Citizen, called Trump’s order “mostly bluster” and said the president “cannot unilaterally preempt state law.”

“We expect the EO to be challenged in court and defeated,” Weissman said in a statement. “In the meantime, states should continue their efforts to protect their residents from the mounting dangers of unregulated AI.”

Weissman said about the order, “This reward to Big Tech is a disgraceful invitation to reckless behavior
by the world’s largest corporations and a complete override of the federalist principles that Trump and MAGA claim to venerate.”

In the short term, the order could affect a handful of states that have already passed legislation targeting AI. The order says that states whose laws are considered onerous could lose federal funding.

One Colorado law, set to take effect in June, will require AI developers to protect consumers from reasonably foreseeable risks of algorithmic discrimination.

Some say Trump’s order will have no real impact on that law or other state regulations.

“I’m pretty much ignoring it, because an executive order cannot tell a state what to do,” said Colorado state Rep. Brianna Titone, a Democrat who co-sponsored the anti-discrimination law.

In California, Gov. Gavin Newsom recently signed a law that, starting in January, will require major AI companies to publicly disclose their safety protocols. 

That law’s author, state Sen. Scott Wiener, said that Trump’s stated goal of having the United States dominate the AI sector is undercut by his recent moves. 

“Of course, he just authorized chip sales to China & Saudi Arabia: the exact opposite of ensuring U.S. dominance,” Wiener wrote in an X post on Thursday night. The Bay Area Democrat is seeking to succeed Speaker-emerita Nancy Pelosi in the U.S. House of Representatives.

Trump on Monday said he will Nvidia to sell its advanced H200 chips to “approved customers” in China, provided that U.S. gets a 25% cut of revenues.

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Coinbase to soon unveil prediction markets powered by Kalshi, source says

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Coinbase to soon unveil prediction markets powered by Kalshi, source says

Feature China | Future Publishing | Getty Images

Coinbase is gearing up to launch an in-house prediction market, powered by Kalshi, a source close to the matter told CNBC — a strategic play to expand the number of asset classes available on the cryptocurrency exchange at a time some investors are shying away from digital assets.

The source said Coinbase and Kalshi will “soon” formally announce the prediction market, with news on the matter potentially coming as early as next week.

Rumblings of the prediction market launch have swirled for nearly a month. An alleged screenshot of Coinbase’s prediction markets dashboard shared by Silicon Valley researcher Jane Manchun Wong in an X post dated Nov. 18 offered some clues about the new product.

The Information first reported on Nov. 19 that Coinbase planned to launch prediction markets powered by Kalshi, adding that the exchange would unveil the new product at its “Coinbase System Update” event on Dec. 17. Bloomberg published a similar report on Thursday, citing a source familiar with the matter, adding that Coinbase would also announce a tokenized stock offering at the showcase. 

Coinbase declined to confirm the reports to CNBC, but said to tune into its event next week. The firm did not comment on a timeline for when its prediction markets would go live for its users.

Coinbase’s upcoming product launches underscore its push to refashion itself into an “everything exchange,” or a one-stop shop for trading all kinds of assets, including crypto tokens, tokenized stocks and event contracts. In May, CEO Brian Armstrong articulated that “everything exchange” vision to investors, saying Coinbase would aim to become a top financial services app within the next decade

The trading platform is setting its sights on that goal as it faces intensifying competition from rivals such as Robinhood, Gemini and Kraken. All three have launched tokenized equity offerings to users outside of the U.S. within the past year, in addition to exploring prediction markets to varying extents.

Coinbase’s moves to expand the financial instruments available to its users also come as investor sentiment on digital assets cools. A series of liquidations of highly leveraged digital asset positions in mid-October triggered several pullbacks in the crypto market, prompting investors to rotate out of tokens and into gold and other safe-have assets. 

Bitcoin fell as low as around $85,000 in early December, hitting its lowest level since last March. The token was last trading at $89,951, down 23% in the past three months. Coinbase has also fallen more than 16% over the past three months.

The deal also underscores U.S.-based prediction markets operator Kalshi’s push to embed its event contracts into various brokerages, widening its reach as the prediction markets space becomes increasingly competitive. 

This year, Kalshi embedded several of its prediction markets into trading platform Robinhood, as part of a non-exclusive partnership between the companies. Kalshi has also engaged in talks with several other major brokerages, including those in the crypto industry, with the aim of closing more deals like the ones it has struck with Robinhood and now Coinbase, a source familiar with the matter told CNBC.

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