Intel CEO Pat Gelsinger speaks while showing silicon wafers during an event called AI Everywhere in New York, Thursday, Dec. 14, 2023.
Seth Wenig | AP
Intel’s long-awaited turnaround looks farther away than ever after the company reported dismal first-quarter earnings. Investors pushed the stock down 10% on Friday to their lowest level of the year.
Although Intel’s revenue is no longer shrinking and the company remains the biggest maker of processors that power PCs and laptops, sales in the first quarter trailed estimates. Intel also gave a soft forecast for the second quarter, suggesting weak demand.
It was a tough showing for CEO Pat Gelsinger, who’s early in his fourth year at the helm.
But Intel’s problems are decades in the making.
Before Gelsinger returned to the company in 2021, the company, once synonymous with “Silicon Valley,” had lost its edge in semiconductor manufacturing to overseas rivals like Taiwan Semiconductor Manufacturing Company. Now, in a high-risk quest, it’s spending billions per quarter to regain ground.
“Job number one was to accelerate our efforts to close the technology gap that was created by over a decade of under-investment,” Gelsinger told investors on Thursday. He said the company is still on track to catch up by 2026.
Investors remain skeptical. Intel is the worst-performing tech stock in the S&P 500 this year, down 37%. Meanwhile, the two best-performing stocks in the index are chipmaker Nvidia and Super Micro Computer, which has been boosted by surging demand for Nvidia-based AI servers.
Gelsinger is betting the company on a risky business model change. Not only will Intel make its own branded processors, but it will act as a factory for other chip companies that outsource their manufacturing — a group of companies that includes Nvidia, Apple, and Qualcomm. Its success acquiring customers will depend on Intel regaining “process leadership,” as the company calls it.
Other semiconductor companies would like an alternative to TSMC so they don’t have to rely on a single supplier. U.S. politicians including President Biden call Intel an American chip champion and say the company is strategically an important part of the U.S. processor supply chain.
“Intel is a big iconic semiconductor company which has been the leader for many years,” said Nicholas Brathwaite, managing partner at Celesta Capital, which invests in semiconductor companies. “And I think it’s a company that is worth trying to save, and they have to come back to competitiveness.”
But the company isn’t doing itself any favors.
“I think everyone has been hearing them say the next quarter will be better for two, three years now,” said Counterpoint analyst Akshara Bassi.
Intel has fumbled the ball for years. It missed the mobile chip boom with the unveiling of the iPhone in 2007. It’s been largely on the sidelines of the artificial intelligence craze while companies like Meta, Microsoft and Google order as many Nvidia chips as they can.
Here’s how Intel ended up where it is today.
Missed out on the iPhone
The late Apple CEO Steve Jobs unveiling the first iPhone in 2007.
David Paul Morris | Getty Images News | Getty Images
The iPhone could have had an Intel chip inside. When Apple developed the first iPhone, then-CEO Steve Jobs visited former Intel CEO Paul Otellini, according to Walter Isaacson’s 2011 biography “Steve Jobs.”
They discussed whether Intel should power the iPhone, which had not been released yet, Jobs and Otellini told Isaacson. When the iPhone was first revealed, it was marketed as a phone that ran the Apple Mac operating system. It would’ve made sense to use Intel chips, which ran on the best desktops at the time, including Apple’s Macs.
Jobs said that Apple passed on Intel’s chips because the company was “slow” and Apple didn’t want the same chips to be sold to its competitors. Otellini said that while the tie-up would have made sense, the two companies couldn’t agree on a price or who owned the intellectual property, according to Isaacson.
The deal never happened. Apple chose Samsung chips when the iPhone launched in 2007. Apple bought PA Semi in 2008 and introduced its first homegrown iPhone chip in 2010.
Within five years, Apple started shipping hundreds of millions of iPhones. Overall smartphone shipments — including Android phones designed to compete with Apple — surpassed PC shipments in 2010.
Nearly every modern smartphone uses an Arm-based chip instead of Intel’s x86 technology which was created for PCs in 1981 and is still in use.
Arm chips built by Apple and Qualcomm consume less power than Intel’s processors, making them more desirable for small devices like phones that run on batteries.
Arm-based chips quickly improved due to the enormous manufacturing volumes and the demands of an industry that needs new chips every year with faster performance and fresh features. Apple started placing huge orders with TSMC to build its iPhone chips, starting with the A8 in 2014. It gave TSMC the cash to upgrade its manufacturing equipment annually and surpass Intel.
By the end of the decade, some benchmarks had the fastest phone processors rivaling Intel’s PC chips for some tasks while consuming far less power. Around 2017, mobile chips from Apple and Qualcomm started adding AI parts to their chips called neural processing units, another advancement over Intel’s PC processors. The first Intel-based laptop with an NPU shipped late last year.
Intel has since lost share in its core PC chip business to chips that grew out of the mobile revolution.
Apple stopped using Intel in its PCs in 2020. Macs now use Arm-based chips based on the ones used in iPhones. Some of the first mainstream Windows laptops with Arm-based chips are coming out later this year. Low-cost laptops running Google ChromeOS are increasingly using Arm, too.
“Intel lost a big chunk of their market share because of Apple, which is about 10% of the market,” Gartner analyst Mikako Kitagawa said.
Intel made efforts to break into smartphones. It released an x86-based mobile chip called Atom that was used in the 2012 Asus Zenphone. But it never sold well and the product line was dead by 2015.
Intel’s mobile stumble set the stage for a lost decade.
All about transistors
US President Joe Biden holds a wafer of chips as he tours the Intel Ocotillo Campus in Chandler, Arizona, on March 20, 2024.
Brendan Smialowski | AFP | Getty Images
Processors get faster with more transistors. Each one allows them to do more calculations. The original Intel microprocessor from 1971, the 4004, had about 2,000 transistors. Now Intel’s chips have billions.
Semiconductor companies fit more transistors on chips by shrinking them. The size of the transistor represents the “process node.” Smaller numbers are better.
The original 4004 used a 10-micrometer process. Now, TSMC’s best chips use a 3-nanometer process. Intel is currently at 7-nanometers. Nanometers are 1,000 times smaller than micrometers.
Engineers, especially at Intel, took pride in regularly delivering smaller transistors. Brathwaite, who worked at Intel in the 1980s, said Intel’s process engineers were the company’s “crown jewels.” People in the technology industry relied on “Moore’s Law,” coined by Intel co-founder Gordon Moore, that said the amount of computing power would double and become cheaper at predictable intervals, roughly every two years.
Moore’s Law meant that Intel’s software partners, like Microsoft, could count on the next generation of PCs or servers being more powerful than the current generation.
The expectation of continuous improvement at Intel was so strong that it even had a nickname: “tick-tock development.” Every two years, Intel would release a chip on a new process (tick) and in the subsequent year, it would refine its design and technology (tock.)
In 2015, under CEO Brian Krzanich, it became clear that Intel’s 10nm process was delayed, and that the company would continue shipping its most important PC and server processors using its 14nm process for longer than the normal two years. The “tick-tock” process had added an extra tock by the time the 14nm chips shipped in 2017. Intel officials today say that the issue was underinvestment, specifically on EUV lithography machines made by ASML, which TSMC enthusiastically embraced.
The delays compounded at Intel. The company missed its deadlines for the next process, 7nm — eventually revealing the issue in a bullet point in the small print in a 2020 earnings release, causing the stock to plunge, and clearing the way for Gelsinger, a former Intel engineer, to take over.
While Intel was struggling to keep its legendary pace, AMD, Intel’s historic rival for server and PC chips, took advantage.
AMD is a “fabless” chip designer. It designs its chips in California, and has TSMC or GlobalFoundries manufacture them. TSMC didn’t have the same issues with 10nm or 7nm, and that meant that AMD’s chips were competitive or better than Intel’s in the latter half of the decade, especially for certain tasks.
AMD, which barely had market share in server CPUs a decade ago, started taking its slice. AMD made over 20% of server CPUs sold in 2022, and shipments grew 62% that year, according to an estimate from CounterPoint Research last year. AMD surpassed Intel’s market cap the same year.
Missing on the AI boom
Nvidia founder and CEO Jensen Huang displays products on stage during the annual Nvidia GTC Conference at the SAP Center in San Jose, California, on March 18, 2024.
Josh Edelson | Afp | Getty Images
Graphics processor units, or GPUs, were originally designed to play sophisticated computer games. But computer scientists knew they were also ideal for running the kind of parallel calculations that AI algorithms require.
The broader business community caught on after OpenAI released ChatGPT in 2022, helping Nvidia triple sales over the past year. Companies are spending money on pricey servers again.
AI-oriented GPU-based servers sometimes pair as many as eight Nvidia GPUs to one Intel CPU. In older servers, the Intel CPU was almost always the most expensive and important part. In a GPU-based server, it’s Nvidia’s chips.
Nvidia recently announced a version of its latest “Blackwell” GPU that cuts Intel out entirely. Two Nvidia B100 GPUs are paired with one Arm-based processor.
Almost all Nvidia GPUs used for AI are made by TSMC in Taiwan, using leading-edge techniques to produce the most advanced chip.
Intel doesn’t have a GPU competitor to Nvidia’s AI accelerators, but it has an AI chip called Gaudi 3. Intel started focusing on AI for servers in 2018 when it bought Habana Labs, whose technology became the basis for the Gaudi chips. The chip is manufactured on a 5nm process, which Intel doesn’t have, so the company relies on an external foundry.
Intel says it expects $500 million in Gaudi 3 sales this year, mostly in the second half. For comparison, AMD expects about $2 billion in annual AI chip revenue. Meanwhile, analysts polled by FactSet expect Nvidia’s data center business — its AI GPUs — to account for $57 billion in sales during the second half of the year.
Still, Intel sees an opportunity and has recently been talking up a different AI story — it could eventually be the American producer of AI chips, maybe even for Nvidia.
The U.S. government is subsidizing a massive Intel fab outside of Columbus, Ohio, as part of $8.5 billion in loans and grants toward U.S. chipmaking. Gelsinger said last month that the plant will offer leading-edge manufacturing when it comes online in 2028, and will make AI chips — perhaps those of Intel’s rivals, Gelsinger said on a call with reporters in March.
Intel’s death march
US President Joe Biden (C) stands behind a table, next to Intel’s CEO Pat Gelsinger (L) as they look at wafers while touring the Intel Ocotillo Campus in Chandler, Arizona, on March 20, 2024.
Brendan Smialowski | AFP | Getty Images
Intel has faced its old failures since Gelsinger took the helm in 2021, and is actively trying to catch up to TSMC through a process that Intel calls “four nodes in five years.”
It hasn’t been easy. Gelsinger referred to its goal to regain leadership as a “death march” in 2022.
Now, the march is starting to reach its destination, and Intel said on Thursday that it’s still on track to catch up by 2026. At that point, TSMC will be shipping 2nm chips. Intel said it will begin producing its “18A” process, equivalent to 2nm, by 2025.
It hasn’t been cheap. Intel reported a $2.5 billion operating loss in its foundry division on $4.4 billion in mostly internal sales. The sums represent the vast investments Intel is making in facilities and tools to make more advanced chips.
“Setup costs are high and that’s why there’s so much cash burn,” said Bassi, the CounterPoint analyst. “Running a foundry is a capital-intensive business. That’s why most of the competitors are fabless, they are more than happy to outsource it to TSMC.”
Intel last month reported a $7 billion operating loss in its foundry in 2023.
“We have a lot of these investments to catch up flowing through the P&L,” Gelsinger told CNBC’s Jon Fortt on Thursday. “But basically, what we expect in ’24 is the trough.”
Not many companies have officially signed up to use Intel’s fabs. Microsoft has said it will use them to manufacture its server chips. Intel says it’s already booked $15 billion in contracts with external companies for the service.
Intel will help its own business and enable better performance in its products if it regains the lead in making the smallest transistors. If that happens, Intel will be back, as Gelsinger is fond of saying.
On Thursday, Gelsinger said demand was high for this year’s forthcoming server chips using Intel 3, or its 3nm process, and that it could win customers who had defected to competitors.
“We’re rebuilding customer trust,” Gelsinger said on Thursday. “They’re looking at us now saying ‘Oh, Intel is back.'”
The Nasdaq Composite dropped 0.84% Monday stateside as technology stocks were under pressure, with Apple, Meta and Oracle retreating more than 1% each.
Artificial intelligence lynchpin Nvidia performed worse, losing almost 2%. CEO Jensen Huang in October said the chipmaker had “half a trillion dollars” of business on the books for 2025 and 2026. When Nvidia reports its third-quarter earnings Wednesday stateside, investors will be combing through Huang’s comments for signs of strong 2026 growth, as suggested by that data point.
The problem with promises or expectations, especially for a company that is one of the two around which the artificial intelligence universe orbits (OpenAI being the other), is that any disappointment will be disproportionately painful.
“If they offer any even slightly muted guidance or forecast for demand for their chips, the market would take that poorly,” Baird investment strategist Ross Mayfield said.
Despite the recent sell-off in tech over concerns about high valuations and capital expenditure, some analysts think we could still end the year with a rally.
“We continue to see a balance of bullish and bearish signals heading into year-end, but our stance remains that a year-end rally is likely,” Michael Graham, analyst at Canaccord Genuity, wrote in a Monday note.
Likewise, HSBC’s chief multi-asset strategist Max Kettner on Monday said the bank thinks “the probability of a melt-up into year-end – particularly in equities – is much greater” than a potential AI bubble popping.
If their predictions prove true, investors will have much to celebrate during the festive season — and we can worry about AI in the new year.
Gold prices have been smashing new records this year, and a growing cadre of wealthy investors and family offices are no longer content to let their gold bars sit idle in vaults. They are leasing their bullion to refiners, jewelers, and fabricators for interest, defying gold’s reputation as a non-yielding asset.
Industry veterans whom CNBC spoke to said the appeal is intuitive: investors who already plan to hold gold can earn yields paid in gold through lease payments, while jewelers and fabricators use those leases to fund the gold they need for day-to-day production.
People pose for pictures at the Wall Street Bull in New York’s Financial District on June 24, 2024 in New York City.
Spencer Platt | Getty Images
The Nasdaq Composite dropped 0.84% Monday stateside as technology stocks were under pressure, with Apple, Meta and Oracle retreating more than 1% each.
Artificial intelligence lynchpin Nvidia performed worse, losing almost 2%. CEO Jensen Huang in October said the chipmaker had “half a trillion dollars” of business on the books for 2025 and 2026. When Nvidia reports its third-quarter earnings Wednesday stateside, investors will be combing through Huang’s comments for signs of strong 2026 growth, as suggested by that data point.
The problem with promises or expectations, especially for a company that is one of the two around which the artificial intelligence universe orbits (OpenAI being the other), is that any disappointment will be disproportionately painful.
“If they offer any even slightly muted guidance or forecast for demand for their chips, the market would take that poorly,” Baird investment strategist Ross Mayfield said.
Despite the recent sell-off in tech over concerns about high valuations and capital expenditure, some analysts think we could still end the year with a rally.
“We continue to see a balance of bullish and bearish signals heading into year-end, but our stance remains that a year-end rally is likely,” Michael Graham, analyst at Canaccord Genuity, wrote in a Monday note.
Likewise, HSBC’s chief multi-asset strategist Max Kettner on Monday said the bank thinks “the probability of a melt-up into year-end – particularly in equities – is much greater” than a potential AI bubble popping.
If their predictions prove true, investors will have much to celebrate during the festive season — and we can worry about AI in the new year.
‘Half a trillion dollars’ of business for Nvidia. CEO Jensen Huang said in October that the chipmaker has $500 billion in orders for 2025 and 2026 combined. Analysts think Huang is signaling a strong forecast for 2026 sales.
Divided outlook on a December rate cut. In prepared remarks on Monday, Fed Governor Christopher Waller said he is focused on the labor market “after months of weakening.” But Vice Chair Philip Jefferson said there is a “need to proceed slowly.”
India announces energy deal with the U.S. Nearly 10% of New Delhi’s liquified petroleum gas will be imported from the U.S., said Hardeep Singh Puri, Indian union minister of petroleum and natural gas, on Monday. It’s a move to shore up ties with the White House.
[PRO] Bitcoin’s downward trend could portend trouble. The price of the cryptocurrency, which has been under pressure, is a “leading indicator” for U.S. stocks, an analyst told CNBC. But others think bitcoin still has tailwinds behind it even in the near term.
And finally…
A Swiss national flag on a ferry on Lake Geneva in Geneva, Switzerland, on Tuesday, Aug. 5, 2025. The Swiss president dashed to the US capital Tuesday in a last-minute attempt to prevent her American counterpart from imposing the highest tariff of any developed nation on Switzerland. Photographer: Andrew Kravchenko/Bloomberg via Getty Images
Jensen Huang, CEO of Nvidia, reacts during the 2025 Asia-Pacific Economic Cooperation (APEC) CEO Summit in Gyeongju, South Korea, October 31, 2025.
Kim Soo-hyeon | Reuters
Arm on Monday said that central processing units based on its technology will be able to integrate with AI chips using Nvidia’s NVLink Fusion technology.
The move will make it easier for customers of both companies who prefer a custom approach to their infrastructure — namely hyperscalers —to pair Arm-based Neoverse CPUs with Nvidia’s dominant graphics processing units.
It’s the latest example of Nvidia using dealmaking to partner with nearly every major technology company as it finds itself at the center of the AI industry. The announcement signals that Nvidia is opening up its NVLink platform to integrate with a wide variety of custom chips, instead of forcing customers to use its CPUs.
Nvidia currently sells an AI product called Grace Blackwell that pairs multiple GPUs with an Nvidia-branded Arm-based CPU. Other configurations include servers that use CPus from Intel or Advanced Micro Devices.
But Microsoft, Amazon and Google are all developing or deploying Arm-based CPUs in their clouds to give them more control over the set ups and reduce their costs.
Arm doesn’t make CPUs but it licenses its instruction set technology that those chips need. The company also sells designs that allow partners to more quickly build Arm-based chips.
As part of Monday’s announcement, Arm said that custom Neoverse chips will include a new protocol that’ll allow them to move data seamlessly with GPUs.
The CPU has historically been the most important part in a server. But generative AI infrastructure is based around the AI accelerator chip, which in most cases is an Nvidia GPU. As many as eight GPUs can be paird with a CPU in an AI server.
In September, Nvidia said it would invest $5 billion into Intel, the leading CPU maker. A key part of the deal was to enable Intel CPUs to integrate into AI servers using Nvidia’s NVLink technology.
Nvidia reached an agreement to buy Arm for $40 billion in 2020, but the deal failed in 2022 because of regulatory issues in the U.S. and U.K. Nvidia had a small stake in Arm, which is majority-owned by Softbank, as of February.
Meanwhile, Softbank liquidated its entire stake in Nvidia earlier this month and Softbank is backing the OpenAI Stargate project, which plans to use Arm technology in addition to chips from Nvidia and AMD.