Tech bosses largely agree the risk DeepSeek poses to OpenAI remains limited for now.
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The technological advances that Chinese artificial intelligence lab DeepSeek have displayed show the game is on when it comes to U.S.-Sino competition on AI, top tech executives told CNBC.
In a series of interviews at France’s Artificial Intelligence Action Summit, leaders of several major tech companies told CNBC that the emergence of DeepSeek demonstrates that China can’t be counted out as a serious player when it comes to AI innovation.
Last month, DeepSeek shocked global markets with a technical paper saying that one of its new AI models was created with a total training cost of less than $6 million — far less than the billions upon billions of dollars being spent by Big Tech players and Western AI labs such as OpenAI and Anthropic.
Chris Lehane, chief global affairs officer at OpenAI, told CNBC that DeepSeek’s advanced, low-cost model confirms there is a “very real competition between U.S.-led, small D democratic AI and CCP [Chinese Communist Party] China-led autocratic, authoritarian AI.”
Many critics of DeepSeek have pointed to apparent censorship by the model when it comes to sensitive topics. For example, when asked about the 1989 Tiananmen Square massacre, DeepSeek’s AI assistant app responds with: “Sorry, that’s beyond my current scope. Let’s talk about something else.”
“There’s two countries in the world that can build this at scale,” Lehane told CNBC’s Arjun Kharpal on the sidelines of the Paris AI summit Monday. “Imagine if there were only two countries in the world that could build electricity at scale. That’s sort of how you have to think about it.”
“For us, what DeepSeek really reinforces and reaffirms is that there is this very real competition with very real stakes,” Lehane added.
Still, tech bosses largely agreed that even though DeepSeek’s breakthrough shows China being further along in the global AI race than previously thought, the threat it poses to OpenAI remains limited for now.
‘The game is on’
DeepSeek says that its new R1 model, an open-source reasoning model, was able to rival the performance of OpenAI’s own similar o1 model — only using a cheaper, less energy-intensive process.
That led experts to question the prevailing wisdom in the West of the last several years, which is that China is behind the U.S. on AI development because of export restrictions that make it harder for firms in the country to get their hands on more advanced Nvidia graphics processing units, or GPUs.
GPUs are necessary for training and running AI applications because they excel at parallel processing, meaning they can perform multiple calculations simultaneously.
Reid Hoffman, a co-founder of LinkedIn and partner at the venture capital firm Greylock Partners, told CNBC Monday that DeepSeek’s new model is “a big deal in showing that the game is on.”
“The competition is afoot with China,” Hoffman said, adding that DeepSeek’s R1 is “a credible, actionable model.”
Abishur Prakash, founder of strategic advisory firm The Geopolitical Business, told CNBC that DeepSeek shows the West’s understanding of China remains limited.
“America’s assumed place as the technological captain of the world is no longer the acceptable belief,” Prakash told CNBC in a phone interview.
“That is the new status quo now, that the space between the U.S. and China has narrowed almost overnight — but it hasn’t narrowed overnight, it’s been years of progress,” Prakash said.
“If there’s one takeaway for the West, it’s that their understanding of China is incredibly limited — and we don’t know what’s coming next,” he added.
No meaningful threat to U.S. AI — yet
Still, leading AI execs aren’t convinced that DeepSeek poses any sort of meaningful risks to the businesses of AI labs like OpenAI and Anthropic just yet.
While experts on the whole agree DeepSeek’s AI advances have been impressive, doubts have been raised about the startup’s claims about cost.
A report from semiconductor research firm SemiAnalysis last month estimated that DeepSeek’s hardware expenditure is “well higher” than $500 million over the company’s history. DeepSeek was not immediately available for comment when contacted by CNBC.
The report found that DeepSeek’s research and development costs and expenses related to ownership are significant and that generating “synthetic data” for the model to train on would require “considerable amount of compute.”
Some technologists believe that DeepSeek may have been able to achieve such a high level of performance by training its models on larger U.S. AI systems.
This technique, known as “distillation,” involves having more powerful AI models evaluate the quality of answers being generated by a newer model.
It’s a claim that OpenAI itself has alluded to, telling CNBC in a statement last month that it’s reviewing reports that DeepSeek may have “inappropriately” used output data from its models to develop its AI model, a method referred to as “distillation.”
“Most of the market fear around [DeepSeek] is in fact misplaced,” Hoffman told CNBC. “It still requires large models — it was distilled from large models.”
“I think the short answer everyone should take is: game on — but large models still really matter,” he added.
Victor Riparbelli, CEO of AI video platform Synthesia, told CNBC that although DeepSeek challenged the “paradigm that brute force scaling is the only way to kind of build better and better models,” the idea that companies are going to suddenly shift significant amounts of their AI workloads is misguided.
“I still think that when you look at users of these technologies, all the workflows, I think when we look back in three months’ time, I think 0.01% of those is going to be moved to Deepseek from OpenAI and Anthropic,” Riparbelli said.
Meredith Whitaker, president of the Signal Foundation, said DeepSeek’s development doesn’t move the needle much for the industry as market momentum is still broadly in favor of larger AI models. The Signal Foundation is a nonprofit that supports the encrypted messaging app Signal.
“This is not something that’s going to disrupt the concentration of power or the geopolitical balance at this stage,” Whitaker told CNBC. “I think we have to keep our eye on the ball there and recognize that it’s really this ‘bigger is better’ paradigm that is not reduced through efficiency gains historically, that is driving this concentration.”
For Cameron Pappas, owner of Norton’s Florist in Birmingham, Alabama, the artificial intelligence boom is a world away.
While companies like Nvidia, Alphabet and Broadcom are lifting the stock market to fresh highs and bolstering GDP, Pappas is experiencing what’s happening in the real economy, one that’s far removed from Wall Street and Silicon Valley.
Small businesses like Norton’s, and companies of all sizes in retail, construction and hospitality, are struggling from higher costs brought by the Trump administration’s sweeping tariffs, and as downbeat consumers reduce their spending.
“We’ve just got an eagle eye on all of our costs,” Pappas, 36, told CNBC in an interview.
Norton’s generated $4 million in revenue last year, selling flowers, plants and gifts to locals. To avoid raising prices, which could cause customers to flee, Pappas has been forced to get creative, reworking some of his designs.
“If a bouquet has 25 stems in it, if you reduce that by three to four stems, then you’re able to keep the price the same,” Pappas said. “It’s really forced us to focus on that and to make sure that we’re pricing things the best that we possibly can.”
Pappas’ story and many like it are being masked in the macro data by the power of AI. In the first half of the year, AI-related capital expenditures contributed to 1.1% of GDP growth, according to a September report from JPMorgan Chase. That spending outpaced the U.S. consumer “as an engine of expansion,” the report said.
Total U.S. GDP increased at an annual rate of 3.8% during the second quarter of 2025 after falling 0.5% in the first quarter, the Commerce Department said.
U.S. manufacturing spending has contracted for seven straight months, according to the Institute for Supply Management. And construction spending has been flat to down, due to high interest rates and rising costs. Cushman & Wakefield said in a report this month that total project costs for construction in the fourth quarter will be up 4.6% from a year earlier because of tariffs on building materials.
The stock market shows a similar disconnect between AI and everybody else.
Nvidia CEO Jensen Huang delivers the keynote for the Nvidia GPU Technology Conference (GTC) at the SAP Center in San Jose, California, U.S. March 18, 2025.
Brittany Hosea-Small | Reuters
Eight tech companies are valued at $1 trillion or more and, to varying degrees, are all tied to AI. Those companies — Nvidia, Microsoft, Apple, Alphabet, Amazon, Meta, Tesla and Broadcom — make up about 37% of the S&P 500. Nvidia, with a $4.5 trillion market cap, accounts for over 7% of the benchmark’s value by itself.
Investors are giddy about the massive investments they’re seeing in AI infrastructure. Broadcom shares are up more than 50% this year after more than doubling in each of the prior two years, while Nvidia and Alphabet have jumped almost 40% in 2025.
That explains why the S&P 500 and Nasdaq are up 15% and 20%, respectively, reaching record highs on Friday, even as the government shutdown continues to cause economic angst.
Meanwhile, the S&P 500 subgroups that include consumer discretionary and consumer staples companies have increased by less than 5% year to date.
The latest troubling sign in the consumer market came on Thursday, when Target said it’s cutting 1,800 corporate jobs — the retailer’s first major round of layoffs in a decade. Target shares have plunged 30% this year.
“I think the message that the AI economy is sort of driving up the GDP numbers is a correct one,” Arun Sundararajan, a professor at New York University’s Stern School of Business, told CNBC in an interview. “There may be weakness in the rest of the economy, or not weakness, but there may be more modest growth.”
Investors will hear all about AI in the coming days, the busiest stretch of the quarter for tech earnings, and will be listening closely for additional guidance on capital expenditures. Meta, Microsoft and Alphabet report on Wednesday, followed by Apple and Amazon on Thursday.
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Nvidia’s stock over the last year.
Last month, Nvidia announced a $100 billion investment in OpenAI, a startup valued at $500 billion. The capital will help OpenAI deploy at least 10 gigawatts of Nvidia systems, which is roughly equivalent to the annual power consumption of 8 million U.S. households.
Shares of Advanced Micro Devices have doubled this year and soared more than 20% earlier this month after the chipmaker announced a deal with OpenAI, while Oracle has been on a tear of late due to its ties to OpenAI and the broader infrastructure buildouts.
“Are we sort of inflating the economy now, thereby setting ourselves up for a crash in the future?” Sundararajan said. He added that he’s not seeing signs that demand for AI infrastructure will slow anytime soon.
‘Tariff price management’
When it comes to local businesses, most only know about the AI gold rush from the news headlines. One in four small business owners are stuck in “survival mode” as they contend with challenges like rising costs and tariffs, according to a September KeyBank Survey. It’s a segment of the economy that routinely accounts for about 40% of the nation’s GDP.
Pappas’ flower shop was founded in 1921, and purchased by his dad in 2002. The business has survived the Great Depression, World War II and the Covid pandemic. Pappas said his father, who died in 2022, reminded him that these periods were “just another season” for Norton’s, and that such challenges come with the territory.
But Trump’s tariffs have created a whole new set of constraints, as roughly 80% of all cut flowers in the U.S. are imported from countries like Colombia and Ecuador, according to the U.S. Department of Agriculture.
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There’s no way for Norton’s to avoid higher import costs, but Pappas said he’s started buying some flowers directly from South American growers, which saves him money versus going through distributors that charge extra.
Pappas said it’s part of his “tariff price management” effort.
Trump’s tariffs will cost global businesses more than $1.2 trillion this year, and most of those costs are being passed onto consumers, according to S&P Global.
With the holiday season rapidly approaching, consumer sentiment is of particular importance. The picture is bleak.
The majority of U.S. consumers, 57%, that responded to a Deloitte survey published this month said they expect the economy to weaken in the year ahead, up from 30% a year ago. It’sthe most negative outlook since the consulting firm began tracking sentiment in 1997.
Gen Z consumers, which the survey defined as ages 18 to 28, said they plan to spend an average of 34% less this holiday season compared to last year. Millennials, those between 29 and 44, said they expect to spend an average of 13% less this holiday season.
Additionally, seasonal hiring in the retail industry is poised to fall to its lowest level since the 2009 recession, according to a September report from job placement firm Challenger, Gray & Christmas.
The firm released another report earlier this month that showed new hiring in the U.S. has totaled just under 205,000 so far this year, off 58% from the same period last year.
The Starbucks logo is displayed in the window of a Starbucks Coffee shop on Sept. 25, 2025 in San Francisco, California.
Justin Sullivan | Getty Images
Starbucks announced a $1 billion restructuring plan in September that involves closing several stores in North America. Around 900 nonretail employees were laid off as part of the plan, and the company let go of another 1,100 corporate workers earlier this year.
Starbucks shares are down about 6% this year.
Shares of Wyndham Hotels & Resorts slumped on Thursday after the hotel chain issued disappointing third-quarter results. CEO Geoff Ballotti cited a “challenging macro backdrop” in the company’s earnings release. The stock is down roughly 25% year to date.
Even in parts of the tech industry that have benefited the most from the AI boom, companies have been conducting layoffs. Microsoft announced plans to cut around 9,000 jobs in July, which the company partly attributed to reducing layers of management. Salesforce is one of a number of tech companies that have announced layoffs, saying that AI can now handle the work.
But Hatim Rahman, an associate professor specializing in AI at Northwestern University’s Kellogg School of Management, said that most businesses using AI for efficiencies won’t find them right away. So companies can’t count on the technology to counter declining revenue and, Rahman said, “the road to the future is going to be bumpy.”
“AI is not a plug-and-play solution,” Rahman said. “For many organizations, it’s going to involve engagement with people, processes, culture, tools to be able to reap the benefits. And in the aggregate, it’s going to take time.”
“Supply constrained,” are the two of the most important words CNBC’s Jim Cramer said he’s heard so far during earnings season and explained why this dynamic is favorable for companies.
“When you’re supplied constrained, you have the ability to raise prices, and that’s the holy grail in any industry,” he said.
Intel‘s strong earnings results were in part because of more demand than supply, Cramer suggested. He noted that the company’s CFO, David Zinsner, said the semiconductor maker is supply constrained for a number of products, and that “industry supply has tightened materially.”
Along with Intel, other tech names that are also supply constrained and performing well on the market include Micron, AMD and Nvidia, Cramer continued.
These companies don’t have enough product in part because the storage needs of artificial intelligence are incredible high, Cramer said. He added that he thinks demand has overwhelmed supply because semiconductor capital equipment companies didn’t manufacture enough of their own machines as they simply didn’t anticipate such a volume of orders.
Outside of tech, Cramer said he thinks airplane maker Boeing and energy company GE Vernova are also supply constrained, adding that he thinks the former will say it’s short on most of its planes when it reports earnings next week. GE Vernova is supply constrained with its power equipment, like turbines that burn natural gas, he continued, which is the primary energy source for the ever-growing crop of data centers.
GE Vernova and Boeing are also set to be winners because they make big-ticket items that other countries can buy from the U.S. to help close the trade deficit, Cramer added.
“In the end, we have more demand than supply in a host of industries and that’s the ticket for good stock performance,” he said. “I don’t see that changing any time soon.”
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Disclaimer The CNBC Investing Club holds shares of Nvidia and GE Vernova.
Intel snapped a losing streak of six straight quarterly losses and returned to profitability in the third quarter.
In its first earnings report since the Trump administration acquired a 10% stake in the company, the U.S. chipmaker posted strong revenue, noting robust demand for chips that it expects to continue into 2026.
Client computing revenue, which includes chips for PCs and laptops, grew 5% year over year, benefiting from PC market stabilization and artificial intelligence PC prospects.
CEO Lip-Bu Tan said in a call with analysts Thursday that artificial intelligence “is a strong foundation for sustainable long-term growth as we execute.”
The chip strength and demand were bright spots, but there were areas of concern as well, with the company’s foundry business still needing a big break.
Here are three takeaways from the chipmaker’s Q3 report:
Cash flow
“We significantly improved our cash position and liquidity in Q3, a key focus for me since becoming CEO in March,” Tan said on a call with analysts Thursday.
Intel landed an $8.9 billion investment from the U.S. government in August, along with $2 billion from Softbank, but has not yet received the $5 billion tied to a deal with Nvidia. The company expects that deal to close by the end of Q4.
With all of those transactions completed, plus the Altera sale, Intel will have $35 billion in cash on hand, CFO David Zinser told CNBC.
The U.S. government is the company’s biggest shareholder, and Intel stock is up more than 50% since Aug. 22, when Commerce Secretary Howard Lutnick announced the deal.
“Like any shareholder, we have to keep in touch with them,” Zinser said of the U.S. stake. “We don’t tell them how the numbers are going before the quarter. We generally talk to them like Fidelity,” another Intel shareholder.
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Intel 3-month stock chart.
Foundry
The firm’s foundry remains a work in progress.
Revenue fell 2% over the year before, and it has yet to land a major customer.
Intel now has two fabs running 18A nodes, which are designed for AI and high-performance computing applications.
“We are making steady progress on Intel 18A,” Tan said of its latest chip technology. “We are on track to bring Panther Lake to market this year.”
Zinser said the more advanced 14A nodes won’t be put in supply until the company has “real firm demand.”
Old stuff still selling
Zinser said the company’s older chipmaking processes, or nodes, have continued to do well, “and that was probably the part that was more unexpected.”
Zinser said the chipmaker met some of the central processing unit (CPU) demand with inventory on hand, but they will be behind in Q1, “probably Q2 and maybe in Q3.”
The supply crunch has been with older Intel 10 and 7 manufacturing technologies.
Many customers are opting for less advanced hardware to refresh their operating systems, demonstrating enterprises aren’t waiting for cutting-edge chips when proven technology gets the job done.