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Memory chips are at the center of all devices, helping store and access data in smartphones, computers and the servers training generative artificial intelligence models.

Just three companies make more than 90% of the world’s dynamic random-access memory, or DRAM, chips. With Samsung and SK Hynix both headquartered in South Korea, Idaho-based Micron is the only manufacturer in the U.S. — that has made it the latest target of China’s bans on U.S. technologies.

About a quarter of Micron’s revenue comes from China, and “about half that revenue is at risk,” Micron CEO Sanjay Mehrotra told CNBC in an interview.

Meanwhile, Micron is doubling down on U.S. manufacturing. Its current leading-edge chips are made in Japan and Taiwan, but Micron is aiming to bring advanced memory production to the U.S. starting in 2026 with a new $15 billion chip fabrication plant in Boise, Idaho. Micron celebrated its 45th anniversary in October by pouring the first cement at the new fab.

The facility is located next to Micron’s huge research and development facility, where CNBC got a behind-the-scenes tour.

Micron’s existing research and development facility in Boise, Idaho, shown here on Oct. 6, 2023.

Ben Farrar

“Memory is very cost-sensitive and we have to get economies of scale to mass produce our chips on a level that meets the market demands,” said Scott Gatzemeier, Micron’s corporate vice president of front end U.S. expansion.

DRAM and NAND memory chips are a cheaper type of semiconductor than the high-powered central processing units from Intel and AMD and graphics processing units that sparked Nvidia’s growth. But multiple memory chips are needed to support each GPU or CPU, so making memory requires more fab space. 

That’s why Micron is planning the biggest chip project in U.S. history, spending $100 billion over 20 years to build four 600,000 square foot fabs in upstate New York.

Mehrotra told CNBC that Micron’s goal is to vastly increase the U.S. share of DRAM production, which he said currently sits at just 2%. That production comes from Micron’s fab in Manassas, Virginia. The company is getting assistance from the federal CHIPS and Science Act, which offers billions of dollars to incentivize domestic production.

“With Micron’s investments through CHIPS support in Boise, Idaho, as well as in Syracuse, New York, that 2% over the course of nearly 20 years will be changing to about 15% of the worldwide production coming from the U.S.,” Mehrotra said.

The U.S. share of overall chip manufacturing has plummeted from 37% to 12% in the last three decades, largely because it costs at least 20% more to build and operate a new fab in the U.S. than in Asia. Labor is also cheaper there, the supply chain is more accessible and government incentives have been far greater. That’s why the CHIPS and Science Act set aside $52.7 billion for companies that manufacture in the U.S. 

Senate Majority Leader Chuck Schumer, D-N.Y., co-sponsored the bill.

“When it came to chips so essential to everything we do, we had lost that edge,” Schumer told CNBC in an interview. “And if we didn’t get back that edge, not just on chips but on science broadly, we would no longer be the No. 1 economic power in the world.”

Micron and at least 460 other companies have applied for funds from the CHIPS Act. States are also offering incentives to entice chip companies. Micron told CNBC it’s eligible for up to $5.5 billion from the state of New York for the four fabs it’s building just north of Syracuse. New York Gov. Kathy Hochul signed the state’s Green CHIPS Act into law last year.

“If they hadn’t passed the CHIPS and Science Act first, I don’t think it would have been as many incentives as necessary,” Hochul said. “I knew I had to woo them, talk about our incentives, but also we get out of it 50,000 jobs. That’s a good deal for us any day of the week.”

These promises come on the heels of a major price slump for memory chips, which led to layoffs at Micron and SK Hynix, and resulted in Samsung slashing production. Now, Micron is betting big that the memory market will grow.

“The large language learning models and other things like that continue to increase large demand,” Gatzemeier said.

“We’re now moving into things like FaceTime, higher resolution images, movies on demand,” he said. “All of that requires more and more memory to be made available.”

Micron says construction in New York will begin at the end of 2024 and chip production there will start in 2027. With both Idaho and New York fabs online, Mehrotra told CNBC that Micron plans to increase the share of chips it makes in the U.S. from 10% to nearly 60% in the next two decades.

Micron CEO Sanjay Mehrotra shows CNBC’s Katie Tarasov a 300mm silicon wafer at the memory company’s San Jose office on Oct. 2, 2023.

Kent Kessinger

‘Feast or famine’

Micron was founded in 1978 by three chip engineers, along with one of their twin brothers, in the basement of a dental office in Boise. By 1980, it was building its first fab and a year later was pumping out a revolutionarily small 64K DRAM chip. These chips, used for storing bits of data that can be quickly accessed by a CPU, ended up in many of the early PCs.

Gatzemeier, who joined as an intern in 1997, explained the two main kinds of memory: DRAM and NAND.

DRAM is “volatile memory, which means that when the power is removed, it loses all of its information. It’s very fast but has to be, and it sits near the CPU and it’s used for real-time processing,” he said. “NAND flash memory is what’s in your SSDs or your storage cards. And NAND flash is nonvolatile, meaning it’ll still store your memory even when the power’s removed.”

Micron went public in 1984. Memory was a crowded field, but over the years, it has whittled down to just three top players. 

“The name of the game is high performance and low cost at the same time,” said Patrick Moorhead, CEO of Moor Insights and Strategy. “Otherwise, you’re going to be blasted out of the market.”

When it comes to the biggest type of memory, DRAM, Samsung is by far the leader, followed by SK Hynix and then Micron. Micron has made 11 acquisitions since 1998, including Texas Instruments‘ memory division, Numonyx, Elpida and Inotera.

“For a very long period, they had not invested in a new fab,” said Gaurav Gupta, an analyst at Gartner. “But they were still able to retain their market share by acquiring other smaller memory firms, which were either going out of business or bankrupt.”

Unlike many kinds of chips, memory wasn’t in short supply during the chip shortage. Micron and its competitors saw a major upswing in the pandemic-fueled boom in consumer electronics. Micron’s profits then fell significantly due to weakened demand for PCs and smartphones and a chip oversupply that led to lower prices. It’s a downturn that has affected much of the chip industry

“When I look at this market over the past 30 years, it’s always feast or famine,” Moorhead said. “We have an oversupply now. But guess what? Give it a couple of months and we will be in an undersupply and prices will go up.”

Even amid the downturn, Mehrotra is optimistic about the growth of Micron’s smartphone business. It supplies memory in phones from Apple, Motorola, Asus and more.

“The mix of smartphones is going more and more toward higher-end smartphones, toward the flagship smartphones, which require more memory as well,” Mehrotra said. “When we look ahead at 2024, we actually expect that year-over-year total worldwide smartphone unit sales will increase.”

Micron is also focused on rapid growth markets such as automotive and AI. The next generation of its most advanced product, High Bandwidth Memory, is set for volume production next year. HBM helps AI models such as ChatGPT remember past conversations and user preferences to generate more humanlike responses.

“It is able to pack 50% more memory capacity in a memory cube,” Mehrotra said. “It is able to give you 50% faster performance and is able to give you about 2.5 times better power and performance efficiency. And these are all the elements that are critically important in AI applications.”

Banned in China

Micron is facing one major specific challenge. In May, China’s cybersecurity administration banned some of its sales to key China infrastructure projects, saying it failed a security review. Last year, the U.S. barred chip companies from supplying China with certain key technologies.

“Micron is absolutely just a pawn in this game right now,” Moorhead said. “They weren’t the first and they were not the last.”

Mehrotra offers a more diplomatic approach.

“It’s very important for U.S. and China to provide an environment to the businesses so that they can invest in a predictable manner,” he said. “And what I can also tell you is that Micron, of course, is totally committed to bringing the value of its technology and products and manufacturing scale to the benefit of our customers across various end markets in China.”

Meanwhile, Micron has started construction on a $2.75 billion assembly and test facility in India.

“Micron is obviously trying to diversify its base,” Gartner’s Gupta said. “It has testing and packaging facilities in China. And obviously they are trying to move, diversify out of China.”

China can still rely on chips from Samsung, SK Hynix and smaller Chinese memory makers. That’s because memory is considered a commodity, meaning it’s relatively easy to switch between products from different companies. But that’s not guaranteed to last.

“When we get back to the boom days and Hynix and Samsung can’t fulfill all the volumes, you might see China diving back into Micron and suddenly lifting any restrictions,” Moorhead said.

Moorhead added that China’s cybersecurity risk accusation about Micron is “a front.”

“Compared to a CPU or a GPU system, it’s pretty hard to embed something nefarious into something like storage or memory,” he said. “That would be technology that I have never heard of.”

Schumer led a delegation of senators to visit China in October for a rare meeting with President Xi Jinping, in part to discuss the ban on Micron.

“We think China was being very nasty about this to Micron,” Schumer told CNBC ahead of the visit. “China’s upset with the Biden administration’s very smart prohibition of selling certain types of chip manufacturing equipment to China. But we’re going to stick up for Micron.”

This also isn’t the first time Micron has been at the center of U.S.-China tensions. In 2018, the U.S. accused Chinese chip company Fujian Jinhua of stealing intellectual property from Micron, a claim the Chinese company denied.

With no slowdown in geopolitical tension, Micron is instead focusing on U.S. expansion. Water and power were both significant reasons Micron settled on New York for its biggest project.

A rendering of Micron’s planned four memory chip fabs it will build north of Syracuse, New York, spending $100 billion over the next 20 years.

Micron

“Not just the Finger Lakes, but two Great Lakes: Lake Erie and Lake Ontario,” Hochul said. “There’s plentiful water and low-cost power generated primarily by hydroelectric and wind and solar. So we’re ready for it. We know it’s going to be a transition, but that’s what we want to do.”

Micron said each of its new fabs will use the equivalent of 25 Olympic-size swimming pools worth of water each day, with a goal of reusing or recycling 75% of that. Micron will also use the same amount of energy required to power some 25,000 homes.

“The energy costs are, interestingly enough, lower in the United States than most parts of the world,” Moorhead said. “People are more expensive in the United States, and so is the materials and the cost to build that factory. But that gap is narrowing over time.”

In Arizona, the world’s advanced chip leader, Taiwan Semiconductor Manufacturing Company, recently blamed a shortage of skilled labor for delays to its massive $40 billion fab under construction.

“That won’t happen in New York because we already have a legacy,” Hochul said. “We have Wolfspeed, we have GlobalFoundries. So this is not a new industry to us.”

Micron runs a Chip Camp in Boise for middle schoolers, which Gatzemeier’s daughter attended over the summer, and is investing in university programs to feed the pipeline for future semiconductor engineers.

“We’re actively starting our hiring ramp now,” Gatzemeier said. “We’ve started aggressively targeting all the universities. We’re also really going to draw on the global resources that Micron has across the world and bring in some of that semiconductor expertise to help train these new team members.”

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Companies are blaming AI for job cuts. Critics say it’s a ‘good excuse’

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Companies are blaming AI for job cuts. Critics say it’s a 'good excuse'

More companies are announcing AI-driven layoffs from Salesforce to Accenture.

Twenty20

From tech to airlines, large global companies have been slashing staff as the real-world impact of artificial intelligence plays out, spooking employees. But critics say AI has become an easy excuse for firms looking to downsize.

Last month, tech consultancy firm Accenture announced a restructuring plan that includes quick exits for workers that aren’t first able to reskill on AI. Days later, Lufthansa said it was going to eliminate 4,000 jobs by 2030 as it leans on AI to increase efficiency.

Salesforce also laid off 4,000 customer support roles in September, saying that AI can do 50% of the work at the company. Meanwhile, fintech firm Klarna has reduced staff by 40% as it aggressively adopts AI tools.

Language-learning platform Duolingo has stated that it will gradually stop relying on contractors and use AI to fill the gaps.

The headlines are grim, but Fabian Stephany, assistant professor of AI and work at the Oxford Internet Institute, said there might be more to job cuts than meets the eye.

Previously there may have been some stigma attached to using AI, but now companies are “scapegoating” the technology to take the fall for challenging business moves such as layoffs.

“I’m really skeptical whether the layoffs that we see currently are really due to true efficiency gains. It’s rather really a projection into AI in the sense of ‘We can use AI to make good excuses,'” Stephany said in an interview with CNBC.

Companies can essentially position themselves at the frontier of AI technology to appear innovative and competitive, and simultaneously conceal the real reasons for layoffs, according to Stephany.

“There might be various other reasons why companies are having to get rid of part of their workforce … Duolingo or Klarna are really prime candidates for this because there has been overhiring during Corona [Covid-19 pandemic] as well,” the professor said.

Some companies that flourished during the pandemic “significantly overhired” and the recent layoffs might just be a “market clearance.”

“It’s to some extent firing people that for whom there had not been a sustainable long term perspective and instead of saying “we miscalculated this two, three years ago, they can now come to the scapegoating, and that is saying ‘it’s because of AI though,'” he added.

This pattern has sparked conversation online. One founder, Jean-Christophe Bouglé even said in a popular LinkedIn post that AI adoption is at a “much slower pace” than is being claimed and in large corporations “there’s not much happening” with AI projects even being rolled back due to cost or security concerns.

“At the same time there are announcements of big layoff plans ‘because of AI.’ It looks like a big excuse, in a context where the economy in many countries is slowing down, despite what the incredible performance of stock exchanges suggest,” said Bouglé, who co-founded Authentic.ly.

Feeding the fear of AI

Jasmine Escalera, a careers expert, said this concealment is “feeding the fear of AI” with employees globally concerned about their jobs being replaced as a result of AI.

“So we already know that employees are scared because companies are not being honest, open and communicative about how they’re implementing AI,” Escalera told CNBC Make It. “Now companies are openly stating ‘We’re doing this [layoffs] because of AI’ so it’s feeding the frenzy.”

Escalera said big companies need to be more responsible as they set the tone for what’s the norm in business decision making and avoid greenlighting “bad behavior.”

A Salesforce spokesperson clarified to CNBC that the company deployed its own AI agent, Agentforce, which reduced the number of customer support cases and eliminated the need to “backfill support engineer roles,” they said.

View taken inside a Lufthansa Airbus A350 airplane on March 19, 2025.

Lufthansa to cut 4,000 jobs as airline turns to AI to boost efficiency

“We’ve successfully redeployed hundreds of employees into other areas like professional services, sales, and customer success,” the Salesforce spokesperson added.

Klarna directed CNBC to its co-founder and CEO Sebastian Siemiatkowski’s comments on X where he explained that the company shrank its workforce from 5,500 to 3,000 people in two years but “AI is only part of that story.”

Siemiatkowski linked the workforce reduction to slimming down its analytics team to one “success team,” with many then leaving by natural attrition as well as the reduction of the company’s customer success team.

Lufthansa and Accenture declined to comment on the matter and did not share any further details on their AI restructuring strategy. Duolingo did not respond to CNBC’s request for comment.

Mass AI layoffs are not here

The Budget Lab, a non-partisan policy research center at Yale University, released a report on Wednesday which showed that U.S. labor has actually been little disrupted by AI automation since the release of ChatGPT in 2022.

The lab examined U.S. labor market data from November 2022 to July 2025 using a “dissimilarity index” which measured how much the occupational mix—the share of workers in different jobs—has shifted since AI’s debut and compared it to other technological shifts such as the introduction of computers and the internet. It found that AI hasn’t yet caused widespread job losses.

Additionally, New York Fed economists released research in early September which showed that AI use amongst firms “do not point to significant reductions in employment” across the services and manufacturing industry in the New York–Northern New Jersey region.

It found that 40% of service firms said they were using AI this year, up from 25% last year, while manufacturing firms saw a similar jump from 16% last year to 26% this year, but very few were using AI to layoff workers.

Only 1% of the services firm reported AI as the reason for laying off workers in the past six months, down from 10% that had laid off workers using AI in 2024. Meanwhile, 12% of services firms said AI made them hire less workers in 2025.

By contrast, 35% of services firms have used AI to retrain employees and 11% have hired more as a result.

Stephany said there isn’t much evidence from his research that shows large levels of technological unemployment due to AI.

“Economists call this structural unemployment, so the pie of work is not big enough for everybody anymore and so people will lose jobs definitely because of of AI, I don’t think that this is happening on a mass scale,” he said.

He added that concerns about technology putting an end to human work can be seen throughout history.

“It reoccurred this century alone a dozen times, you can go back to ancient times where Roman emperors put hold to certain machines because they were worried about this and always the contrary happened. The machine made companies, industries more productive.

“It allowed for the emergence of entirely new jobs. If you think about the internet 20 years ago, nobody would have known what a social media influencer is, what an app developer is because it didn’t exist.”

Read more about companies conducting AI layoffs below:

A logo sits illuminated at the Accenture booth in Mobile World Congress 2025 on March 03, 2025 in Barcelona, Spain.

Accenture plans on ‘exiting’ staff who can’t be reskilled on AI amid restructuring strategy

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Close to half of Kalshi user base experienced glitches, delays during Saturday college football games

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Close to half of Kalshi user base experienced glitches, delays during Saturday college football games

The Kalshi logo arranged on a laptop in New York, US, on Monday, Feb. 10, 2025.

Gabby Jones | Bloomberg | Getty Images

Close to half of Kalshi’s user base experienced glitches and delays on Saturday during college football games, a major source of trades, as some said they were temporarily unable to process orders.

In a message sent to a user obtained by CNBC, the predictions market service’s website apologized for any inconvenience and said it was “looking into” the issues traders were experiencing. 

“The Exchange is experiencing temporary delays,” the message read. “Balances and positions may not be accurately reflected at this time.” 

One user shared a screen recording and screenshots with CNBC that showed they were unable to see their balance or bets while the issues persisted.

A number of users on X reported the website was down when they were trying to place bets on college football games, with some saying they had open orders that wouldn’t process. When CNBC visited the website, it wouldn’t load, showing only a green K with a spinning circle around it for more than 20 minutes. The platform later loaded.

“Earlier today, Kalshi experienced minor glitches that temporarily affected some user experiences. No exchange outage occurred, no funds were affected, and the issues are now resolved,” the company said in a statement.

Earlier, a spokesperson denied there was an outage and said the exchange “never stopped functioning properly.” He added that there has been no impact on clearing, advanced trading, or institutional trading.

“There were some glitches and delays on our web and app product, which affected less than half of our user base,” the spokesperson said. 

A little over a week ago, Kalshi announced a $300 million Series D funding round that valued the company at $5 billion, more than double its $2 billion valuation in June after its Series C round. 

The round was co-led by Andreessen Horowitz (a16z) and Sequoia Capital, with participation from Paradigm. Additional backers included Coinbase Ventures, General Catalyst, Spark Capital and CapitalG. 

The company, founded in 2018, rose to prominence by offering bettors the ability to trade on a wide range of real-world events, from football games to who President Donald Trump could pardon this year.

WATCH: Kalshi CEO on $2B valuation: We’re one of the fastest growing companies in America

Kalshi CEO on hitting $2B valuation: We're one of the fastest growing companies in America

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AI headshots are changing the way job seekers are seen and get hired in tough labor market

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AI headshots are changing the way job seekers are seen and get hired in tough labor market

AI headshots are becoming popular on LinkedIn and in professional portfolios as job seekers look for affordable profile pictures to give them an edge.

Since first impressions happen almost entirely through a screen, a clean, appealing photo is as important as a strong resume. And in a competitive job market, a good headshot can make a big difference. But professional photography has long been a financial barrier for many job applicants with an average starting cost for a professional headshot in the U.S. that can easily run up to hundreds of dollars.

Now job seekers are using fast and inexpensive AI tools to replace costly studio sessions.

“When I was at Yale, it was $200 for a 15-minute session for students,” said Melanie Fan, head of growth at Plush, an AI-powered online search platform for personalized shopping. “It was really expensive. The process of getting the pictures back, rendering them, looking at which ones I looked the best in, and then sending it back to the photographer for edit.”

This frustration has fueled the explosion of AI headshot tools like InstaHeadshots, PhotoPacksAI, HeadshotPro and Aragon AI, services that promise a professional image in minutes starting at under $50. Users simply upload selfies, pick a background, and receive dozens and no photographer is needed.

“After I changed my LinkedIn photo, the amount of inbound I’ve been getting from companies has skyrocketed,” Fan said. “Three to four times more messages from companies.”

Design company Canva recently launched its own AI headshot feature, with the goal of offering users a quick way to create realistic headshots and still be able to retouch or restyle them.

According to a recent Canva job market research report, 88% of job seekers believe a polished digital presence influences hiring decisions, which is up 45% from the year before. This is in line with the general uptick in use of AI as part of the application and hiring process, with 90% of hiring managers saying they have used AI to help with the hiring process, and 96% of job seekers who used AI in the application process saying they received callbacks.

Danny Wu, Canva’s head of AI products, said the goal wasn’t to replace real photography, but to make high quality imagery attainable to everyone no matter the budget or location. Once a user uploads an image, Canva can use AI for adjusting or changing the background, placing something in a different place, and for styling. “This is just a more accessible way to get professional and unique headshots,” Wu said.

Risks and questions about authenticity among HR recruiters

Anyone with a phone can get a LinkedIn-ready headshot, but the technology’s rapid adoption has created new questions about ethics and trust. Many candidates fear looking fake or deceptive and recruiters are on the lookout for AI-generated portraits that look overly smooth or stylized, saying authenticity matters the most.

“It is perceived as risky to use an AI headshot,” said Sam DeMase, ZipRecruiter career expert. “While recruiters accept them, a bad AI-generated headshot will put off most recruiters,” DeMase said. “A poorly done AI-generated headshot is easily recognized, reads as inauthentic, and can hurt the candidate’s chances of being selected.”

However, recruiters are struggling to tell if a headshot is AI produced, and the technology will only get better. “It’s becoming more and more difficult to tell whether a headshot has been enhanced or generated by AI,” DeMase added.

Chris Bora, founder and principal AI architect of Bora Labs and a former Meta engineer, said he built his own headshot generator, Nova Headshot, after being disappointed by existing options. “Some made me look taller and skinnier,” Bora said. “The other ones, they made me look lighter, so it wasn’t really me,” he said. “You don’t need to spend thousands to look professional anymore. You just need a tool that makes you look like yourself on your best day. With Nova, it takes less than ten minutes,” Bora said.

Amber Collins, an AI headshot user, said she still feels uneasy about it, especially since not every app gets it right. “There are a lot of bad apps out there,” Collins said. “Seven fingers, half a necklace, and the rest of it is gone from your neck. I feel guilty using AI. There’s a stigma. I’d 100% prefer to get actual get headshots done,” Collins said.

But ultimately, she says, the benefits outweighed the risks. “In this economy, you have to be mindful of where you’re going to put your money. I don’t need to have my face out there excessively, but having a couple of really good, solid, professional looking headshots is worth it to me,” Collins said.

Wu said the goal for job applicants seeking a headshot should be to use Canva’s tool to balance realism and creativity without losing their identity.

The tension between tech innovation and accessibility on the one hand, and authenticity on the other, will remain.

A LinkedIn spokesperson told CNBC what while the platform does allow the use of tools, including AI, to enhance or create profile photos, “the photo must reflect your likeness.”

“Profile photos that don’t comply with our user agreement or professional community policies may be removed,” the LinkedIn spokesperson said.

DeMase noted that many job candidates remain hesitant to use an AI headshot. “A headshot is one of the few places you can inject humanity into the job search,” he said.

But with job seekers now able to provide the appearance they had access to the same studio lighting, camera, and editing team as the pros, the trend is unlikely to stop.

A recent survey found that headshot use among job seekers is the highest within the Gen Z and millennial generations. And while recruiters may say they still prefer real photos, AI headshots are becoming harder to spot, and less likely to even be reviewed by humans in the first stages of the application process. A recent study from the HR trade group SHRM found that 66% of human resource professionals are using AI to generate their job descriptions, and 44% are using the technology to review or screen applicant resumes.

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