DeepSeek’s powerful new artificial intelligence model isn’t just a win for China — it’s a victory for open-source versions of the tech from the likes of Meta, Databricks, Mistral and Hugging Face, according to industry experts who spoke with CNBC.
The development caused the market values of Nvidia and other chipmakers to plummet on fears that it could lead to reduced spending on high-performance computing infrastructure.
DeepSeek is a Chinese AI lab that focuses on developing large language models with the ultimate aim of achieving artificial general intelligence, or AGI. It was founded in 2023 by Liang Wenfeng, co-founder of AI-focused quantitative hedge fund High-Flyer.
AGI loosely refers to the idea of an AI that equals or surpasses human intellect on a wide range of tasks.
What is open-source AI?
Since OpenAI’s ChatGPT burst onto the scene in November 2022, AI researchers have been working hard to understand and improve upon the advances of the foundational large language model technology that underpins it.
One area of focus for many labs has been open-source AI. Open source refers to software whose source code is made freely available on the open web for possible modification and redistribution.
Plenty of firms from tech giants like Meta to scrappier startups such as Mistral and Hugging Face have been betting on open-source as a way to improve on the technology while also sharing important developments with the wider research community.
How DeepSeek empowered open source
DeepSeek’s technological breakthrough has only made the case for open-source AI models stronger, according to some tech executives.
Seena Rejal, chief commercial officer of AI startup NetMind, told CNBC the Chinese firm’s success shows that open-source AI is “no longer just a non commercial research initiative but a viable, scalable alternative to closed models” like OpenAI’s GPT.
“DeepSeek R1 has demonstrated that open-source models can achieve state-of-the-art performance, rivaling proprietary models from OpenAI and others,” Rejal told CNBC. “This challenges the belief that only closed-source models can dominate innovation in this space.”
Rejal isn’t alone. Yann LeCun, Meta’s chief AI scientist, said DeepSeek’s success represents a victory for open-source AI models, not necessarily a win for China over the United States. Meta is behind a popular open-source AI model called Llama.
“To people who see the performance of DeepSeek and think: ‘China is surpassing the U.S. in AI.’ You are reading this wrong. The correct reading is: ‘Open source models are surpassing proprietary ones’,” he said in a post on LinkedIn.
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“DeepSeek has profited from open research and open source (e.g. PyTorch and Llama from Meta). They came up with new ideas and built them on top of other people’s work. Because their work is published and open source, everyone can profit from it. That is the power of open research and open source.”
Open-source AI going global
Cut off by Washington from accessing advanced chips needed to train and run AI models, China has turned to open-source technology to boost the appeal of its AI models. Many Chinese firms — DeepSeek included — are pursuing open source models as a way to increase innovation and spread their use.
But the trend of companies turning to open-source technologies for success in AI isn’t limited to China. In Europe, an alliance of academics, companies and data centers have partnered on developing a family of high-performing, multilingual large language models, called OpenEuroLLM.
The alliance is led by Jan Hajič, a renowned computational linguist at Charles University, Czechia, and Peter Sarlin, the co-founder of Silo AI, an AI lab that was bought by U.S. chipmaker AMD last year.
The initiative forms part of a broader push for “AI sovereignty,” in which countries are encouraging investment in their own domestic AI labs and data centers to reduce a reliance on Silicon Valley.
What’s the catch?
There are downsides to open-source AI, however. Experts warn that, although open-source tech is a good thing for innovation, it is also more prone to cyber exploitation. That’s because it can be repackaged and modified by anyone.
Cybersecurity firms have already discovered vulnerabilities in DeepSeek’s AI models. Research that Cisco released last week revealed that R1 contained critical safety flaws.
Using “algorithmic jailbreaking techniques,” Cisco’s AI safety research team says it got R1 to provide affirmative responses to a series of harmful prompts from the popular HarmBench “with a 100% attack success rate.”
“DeepSeek R1 was purportedly trained with a fraction of the budgets that other frontier model providers spend on developing their models. However, it comes at a different cost: safety and security,” Cisco researchers Paul Kassianik and Amin Karbasi wrote.
Data leakage is also a concern. Data processed by DeepSeek’s R1 model via its website or app is sent straight to China. Chinese tech firms have long been dogged by allegations that Beijing uses their systems to spy on Western entities and individuals.
“DeepSeek, like other generative AI platforms, presents a double-edged sword for businesses and individuals alike,” said Matt Cooke, cybersecurity strategist EMEA at Proofpoint. “While the potential for innovation is undeniable, the risk of data leakage is a serious concern.”
“DeepSeek is relatively new, and it will take time to learn about the technology; however, what we do know is feeding sensitive company data or personal information into these systems is like handing attackers a loaded weapon,” Cooke added.
NetMind’s Rejal told CNBC that open-source AI models introduce cybersecurity risks which businesses need to consider, including software supply chain attacks, prompt jailbreaking and so-called “data poisoning” events that try to introduce biases or harmful outputs.
Formula One F1 – United States Grand Prix – Circuit of the Americas, Austin, Texas, U.S. – October 23, 2022 Tim Cook waves the chequered flag to the race winner Red Bull’s Max Verstappen
Mike Segar | Reuters
Apple had two major launches last month. They couldn’t have been more different.
First, Apple revealed some of the artificial intelligence advancements it had been working on in the past year when it released developer versions of its operating systems to muted applause at its annual developer’s conference, WWDC. Then, at the end of the month, Apple hit the red carpet as its first true blockbuster movie, “F1,” debuted to over $155 million — and glowing reviews — in its first weekend.
While “F1” was a victory lap for Apple, highlighting the strength of its long-term outlook, the growth of its services business and its ability to tap into culture, Wall Street’s reaction to the company’s AI announcements at WWDC suggest there’s some trouble underneath the hood.
“F1” showed Apple at its best — in particular, its ability to invest in new, long-term projects. When Apple TV+ launched in 2019, it had only a handful of original shows and one movie, a film festival darling called “Hala” that didn’t even share its box office revenue.
Despite Apple TV+being written off as a costly side-project, Apple stuck with its plan over the years, expanding its staff and operation in Culver City, California. That allowed the company to build up Hollywood connections, especially for TV shows, and build an entertainment track record. Now, an Apple Original can lead the box office on a summer weekend, the prime season for blockbuster films.
The success of “F1” also highlights Apple’s significant marketing machine and ability to get big-name talent to appear with its leadership. Apple pulled out all the stops to market the movie, including using its Wallet app to send a push notification with a discount for tickets to the film. To promote “F1,” Cook appeared with movie star Brad Pitt at an Apple store in New York and posted a video with actual F1 racer Lewis Hamilton, who was one of the film’s producers.
(L-R) Brad Pitt, Lewis Hamilton, Tim Cook, and Damson Idris attend the World Premiere of “F1: The Movie” in Times Square on June 16, 2025 in New York City.
Jamie Mccarthy | Getty Images Entertainment | Getty Images
Although Apple services chief Eddy Cue said in a recent interview that Apple needs the its film business to be profitable to “continue to do great things,” “F1” isn’t just about the bottom line for the company.
Apple’s Hollywood productions are perhaps the most prominent face of the company’s services business, a profit engine that has been an investor favorite since the iPhone maker started highlighting the division in 2016.
Films will only ever be a small fraction of the services unit, which also includes payments, iCloud subscriptions, magazine bundles, Apple Music, game bundles, warranties, fees related to digital payments and ad sales. Plus, even the biggest box office smashes would be small on Apple’s scale — the company does over $1 billion in sales on average every day.
But movies are the only services component that can get celebrities like Pitt or George Clooney to appear next to an Apple logo — and the success of “F1” means that Apple could do more big popcorn films in the future.
“Nothing breeds success or inspires future investment like a current success,” said Comscore senior media analyst Paul Dergarabedian.
But if “F1” is a sign that Apple’s services business is in full throttle, the company’s AI struggles are a “check engine” light that won’t turn off.
Replacing Siri’s engine
At WWDC last month, Wall Street was eager to hear about the company’s plans for Apple Intelligence, its suite of AI features that it first revealed in 2024. Apple Intelligence, which is a key tenet of the company’s hardware products, had a rollout marred by delays and underwhelming features.
Apple spent most of WWDC going over smaller machine learning features, but did not reveal what investors and consumers increasingly want: A sophisticated Siri that can converse fluidly and get stuff done, like making a restaurant reservation. In the age of OpenAI’s ChatGPT, Anthropic’s Claude and Google’s Gemini, the expectation of AI assistants among consumers is growing beyond “Siri, how’s the weather?”
The company had previewed a significantly improved Siri in the summer of 2024, but earlier this year, those features were delayed to sometime in 2026. At WWDC, Apple didn’t offer any updates about the improved Siri beyond that the company was “continuing its work to deliver” the features in the “coming year.” Some observers reduced their expectations for Apple’s AI after the conference.
“Current expectations for Apple Intelligence to kickstart a super upgrade cycle are too high, in our view,” wrote Jefferies analysts this week.
Siri should be an example of how Apple’s ability to improve products and projects over the long-term makes it tough to compete with.
It beat nearly every other voice assistant to market when it first debuted on iPhones in 2011. Fourteen years later, Siri remains essentially the same one-off, rigid, question-and-answer system that struggles with open-ended questions and dates, even after the invention in recent years of sophisticated voice bots based on generative AI technology that can hold a conversation.
Apple’s strongest rivals, including Android parent Google, have done way more to integrate sophisticated AI assistants into their devices than Apple has. And Google doesn’t have the same reflex against collecting data and cloud processing as privacy-obsessed Apple.
Some analysts have said they believe Apple has a few years before the company’s lack of competitive AI features will start to show up in device sales, given the company’s large installed base and high customer loyalty. But Apple can’t get lapped before it re-enters the race, and its former design guru Jony Ive is now working on new hardware with OpenAI, ramping up the pressure in Cupertino.
“The three-year problem, which is within an investment time frame, is that Android is racing ahead,” Needham senior internet analyst Laura Martin said on CNBC this week.
Apple’s services success with projects like “F1” is an example of what the company can do when it sets clear goals in public and then executes them over extended time-frames.
Its AI strategy could use a similar long-term plan, as customers and investors wonder when Apple will fully embrace the technology that has captivated Silicon Valley.
Wall Street’s anxiety over Apple’s AI struggles was evident this week after Bloomberg reported that Apple was considering replacing Siri’s engine with Anthropic or OpenAI’s technology, as opposed to its own foundation models.
The move, if it were to happen, would contradict one of Apple’s most important strategies in the Cook era: Apple wants to own its core technologies, like the touchscreen, processor, modem and maps software, not buy them from suppliers.
Using external technology would be an admission that Apple Foundation Models aren’t good enough yet for what the company wants to do with Siri.
“They’ve fallen farther and farther behind, and they need to supercharge their generative AI efforts” Martin said. “They can’t do that internally.”
Apple might even pay billions for the use of Anthropic’s AI software, according to the Bloombergreport. If Apple were to pay for AI, it would be a reversal from current services deals, like the search deal with Alphabet where the Cupertino company gets paid $20 billion per year to push iPhone traffic to Google Search.
The company didn’t confirm the report and declined comment, but Wall Street welcomed the report and Apple shares rose.
In the world of AI in Silicon Valley, signing bonuses for the kinds of engineers that can develop new models can range up to $100 million, according to OpenAI CEO Sam Altman.
“I can’t see Apple doing that,” Martin said.
Earlier this week, Meta CEO Mark Zuckerberg sent a memo bragging about hiring 11 AI experts from companies such as OpenAI, Anthropic, and Google’s DeepMind. That came after Zuckerberg hired Scale AI CEO Alexandr Wang to lead a new AI division as part of a $14.3 billion deal.
Meta’s not the only company to spend hundreds of millions on AI celebrities to get them in the building. Google spent big to hire away the founders of Character.AI, Microsoft got its AI leader by striking a deal with Inflection and Amazon hired the executive team of Adept to bulk up its AI roster.
Apple, on the other hand, hasn’t announced any big AI hires in recent years. While Cook rubs shoulders with Pitt, the actual race may be passing Apple by.
Tesla CEO Elon Musk speaks alongside U.S. President Donald Trump to reporters in the Oval Office of the White House on May 30, 2025 in Washington, DC.
Kevin Dietsch | Getty Images
Tesla CEO Elon Musk, who bombarded President Donald Trump‘s signature spending bill for weeks, on Friday made his first comments since the legislation passed.
Musk backed a post on X by Sen. Rand Paul, R-Ky., who said the bill’s budget “explodes the deficit” and continues a pattern of “short-term politicking over long-term sustainability.”
The House of Representatives narrowly passed the One Big Beautiful Bill Act on Thursday, sending it to Trump to sign into law.
Paul and Musk have been vocal opponents of Trump’s tax and spending bill, and repeatedly called out the potential for the spending package to increase the national debt.
The independent Congressional Budget Office has said the bill could add $3.4 trillion to the $36.2 trillion of U.S. debt over the next decade. The White House has labeled the agency as “partisan” and continuously refuted the CBO’s estimates.
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The bill includes trillions of dollars in tax cuts, increased spending for immigration enforcement and large cuts to funding for Medicaid and other programs.
It also cuts tax credits and support for solar and wind energy and electric vehicles, a particularly sore spot for Musk, who has several companies that benefit from the programs.
“I took away his EV Mandate that forced everyone to buy Electric Cars that nobody else wanted (that he knew for months I was going to do!), and he just went CRAZY!” Trump wrote in a social media post in early June as the pair traded insults and threats.
Shares of Tesla plummeted as the feud intensified, with the company losing $152 billion in market cap on June 5 and putting the company below $1 trillion in value. The stock has largely rebounded since, but is still below where it was trading before the ruckus with Trump.
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Tesla one-month stock chart.
— CNBC’s Kevin Breuninger and Erin Doherty contributed to this article.
Microsoft CEO Satya Nadella speaks at the Axel Springer building in Berlin on Oct. 17, 2023. He received the annual Axel Springer Award.
Ben Kriemann | Getty Images
Among the thousands of Microsoft employees who lost their jobs in the cutbacks announced this week were 830 staffers in the company’s home state of Washington.
Nearly a dozen game design workers in the state were part of the layoffs, along with three audio designers, two mechanical engineers, one optical engineer and one lab technician, according to a document Microsoft submitted to Washington employment officials.
There were also five individual contributors and one manager at the Microsoft Research division in the cuts, as well as 10 lawyers and six hardware engineers, the document shows.
Microsoft announced plans on Wednesday to eliminate 9,000 jobs, as part of an effort to eliminate redundancy and to encourage employees to focus on more meaningful work by adopting new technologies, a person familiar with the matter told CNBC. The person asked not to be named while discussing private matters.
Scores of Microsoft salespeople and video game developers have since come forward on social media to announce their departure. In April, Microsoft said revenue from Xbox content and services grew 8%, trailing overall growth of 13%.
In sales, the company parted ways with 16 customer success account management staff members based in Washington, 28 in sales strategy enablement and another five in sales compensation. One Washington-based government affairs worker was also laid off.
Microsoft eliminated 17 jobs in cloud solution architecture in the state, according to the document. The company’s fastest revenue growth comes from Azure and other cloud services that customers buy based on usage.
CEO Satya Nadella has not publicly commented on the layoffs, and Microsoft didn’t immediately provide a comment about the cuts in Washington. On a conference call with analysts in April, Microsoft CFO Amy Hood said the company had a “focus on cost efficiencies” during the March quarter.