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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.”

OpenAI exec: DeepSeek reaffirms that there's real competition in AI

“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.

Reid Hoffman: Most market fears around DeepSeek are misplaced

“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.

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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.”

Open-source AI will have a massive impact on the world, says Hugging Face CEO

“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.”

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We’re looking to further trim this drug stock and exit this entertainment giant

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JPMorgan Chase wins fight with fintech firms over fees to access customer data

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JPMorgan Chase wins fight with fintech firms over fees to access customer data

An exterior view of the new JPMorgan Chase global headquarters building at 270 Park Avenue on Nov. 13, 2025 in New York City.

Angela Weiss | AFP | Getty Images

JPMorgan Chase has secured deals ensuring it will get paid by the fintech firms responsible for nearly all the data requests made by third-party apps connected to customer bank accounts, CNBC has learned.

The bank has signed updated contracts with fintech middlemen that make up more than 95% of the data pulls on its systems, including Plaid, Yodlee, Morningstar and Akoya, according to JPMorgan spokesman Drew Pusateri.

“We’ve come to agreements that will make the open banking ecosystem safer and more sustainable and allow customers to continue reliably and securely accessing their favorite financial products,” Pusateri said in a statement. “The free market worked.”

The milestone is the latest twist in a long-running dispute between traditional banks and the fintech industry over access to customer accounts. For years, middlemen like Plaid paid nothing to tap bank systems when a customer wanted to use a fintech app like Robinhood to draw funds or check balances.

That dynamic appeared to be enshrined in law in late 2024 when the Biden-era Consumer Financial Protection Bureau finalized what is known as the “open-banking rule” requiring banks to share customer data with other financial firms at no cost.

But banks sued to prevent the CFPB rule from taking hold and seemed to gain the upper hand in May after the Trump administration asked a federal court to vacate the rule.

Soon after, JPMorgan — the largest U.S. bank by assets, deposits and branches — reportedly told the middlemen that it would start charging what amounts to hundreds of millions of dollars for access to its customer data.

In response, fintech, crypto and venture capital executives argued that the bank was engaging in “anti-competitive, rent-seeking behavior” that would hurt innovation and consumers’ ability to use popular apps.

After weeks of negotiations between JPMorgan and the middlemen, the bank agreed to lower pricing than it originally proposed, while the fintech middlemen won concessions regarding the servicing of data requests, according to people with knowledge of the talks.

Fintech firms preferred the certainty of locking in data-sharing rates because it is unclear whether the current CFPB, which is in the process of revising the open-banking rule, will favor banks or fintechs, according to a venture capital investor who asked for anonymity to discuss his portfolio companies.

The bank and the fintech firms declined to disclose details about their contracts, including how much the middlemen agreed to pay and how long the deals were in force.

Wider impact

The deals mark a shift in the power dynamic between banks, middlemen and the fintech apps that are increasingly threatening incumbents. More banks are likely to begin charging fintechs for access to their systems, according to industry observers.  

“JPMorgan tends to be a trendsetter. They’re sort of the leader of the pack, so it’s fair to expect that the rest of the major banks will follow,” said Brian Shearer, director of competition and regulatory policy at the Vanderbilt Policy Accelerator.

Shearer, who worked at the CFPB under former director Rohit Chopra, said he was worried that the development would create a barrier of entry to nascent startups and ultimately result in higher costs for consumers.

Source: Robinhood

Proponents of the 2024 CFPB rule said it gave consumers control over their financial data and encouraged competition and innovation. Banks including JPMorgan said it exposed them to fraud and unfairly saddled them with the rising costs of maintaining systems increasingly tapped by the middlemen and their clients.  

When Plaid’s deal with JPMorgan was announced in September, the companies issued a dual press release emphasizing the continuity it provided for customers.

But the industry group that Plaid is a part of has harshly criticized the development, signaling that while JPMorgan has won a decisive battle, the ongoing skirmish may yet play out in courts and in the public.

“Introducing prohibitive tolls is anti-competitive, anti-innovation, and flies in the face of the plain reading of the law,” said Penny Lee, CEO of the Financial Technology Association, told CNBC in response to the JPMorgan milestone.

These agreements are not the free market at work, but rather big banks using their market position to capitalize on regulatory uncertainty,” Lee said. “We urge the Trump Administration to uphold the law by maintaining the existing prohibition on data access fees.”

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Founder Eric Gillespie fired from Govini board after child sex solicitation arrest

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Founder Eric Gillespie fired from Govini board after child sex solicitation arrest

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Govini has fired Eric Gillespie from its board of directors after the founder was charged with attempting to solicit sexual contact with a minor online.

“The actions of one depraved individual should not in any way diminish the hard work of the broader team and their commitment to the security of the United States of America,” the defense software startup said in a release late Wednesday.

The company said the 57-year-old had no access to classified information since stepping down as CEO nearly ten years ago.

On Monday, the Pennsylvania Attorney General’s Office charged Gillespie with four felonies, including multiple counts of unlawful contact with a preteen.

A judge denied bail for Gillespie, who lived in Pittsburgh, citing flight risk and public safety concerns.

At the time, the Pentagon officials told CNBC that they were investigating the arrest and possible security risks.

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Last month, the Arlington, Virginia-based startup surpassed $100 million in annual recurring revenue and announced a $150 million growth investment from Bain Capital.

Govini has a more than $900-million contract with the U.S. government and deals with the Department of War.

Gillespie, who is viewed as an expert in government transparency, was named to the Freedom of Information Act Advisory Committee during the Obama administration in 2014.

He previously worked as an executive at business intelligence platform Onvia.

He is a graduate of Miami University and Harvard Business School.

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