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Dado Ruvic | Reuters

DeepSeek has rattled the U.S.-led AI ecosystem with its latest model, shaving hundreds of billions in chip leader Nvidia’s market cap. While the sector leaders grapple with the fallout, smaller AI companies see an opportunity to scale with the Chinese startup.

Several AI-related firms told CNBC that DeepSeek’s emergence is a “massive” opportunity for them, rather than a threat. 

“Developers are very keen to replace OpenAI’s expensive and closed models with open source models like DeepSeek R1…” said Andrew Feldman, CEO of artificial intelligence chip startup Cerebras Systems.

The company competes with Nvidia’s graphic processing units and offers cloud-based services through its own computing clusters. Feldman said the release of the R1 model generated one of Cerebras’ largest-ever spikes in demand for its services. 

“R1 shows that [AI market] growth will not be dominated by a single company — hardware and software moats do not exist for open-source models,” Feldman added. 

Open source refers to software in which the source code is made freely available on the web for possible modification and redistribution. DeepSeek’s models are open source, unlike those of competitors such as OpenAI.

DeepSeek also claims its R1 reasoning model rivals the best American tech, despite running at lower costs and being trained without cutting-edge graphic processing units, though industry watchers and competitors have questioned these assertions.

“Like in the PC and internet markets, falling prices help fuel global adoption. The AI market is on a similar secular growth path,” Feldman said. 

Inference chips 

DeepSeek could increase the adoption of new chip technologies by accelerating the AI cycle from the training to “inference” phase, chip start-ups and industry experts said.

Inference refers to the act of using and applying AI to make predictions or decisions based on new information, rather than the building or training of the model.

“To put it simply, AI training is about building a tool, or algorithm, while inference is about actually deploying this tool for use in real applications,” said Phelix Lee, an equity analyst at Morningstar, with a focus on semiconductors.  

While Nvidia holds a dominant position in GPUs used for AI training, many competitors see room for expansion in the “inference” segment, where they promise higher efficiency for lower costs.

AI training is very compute-intensive, but inference can work with less powerful chips that are programmed to perform a narrower range of tasks, Lee added.

A number of AI chip startups told CNBC that they were seeing more demand for inference chips and computing as clients adopt and build on DeepSeek’s open source model. 

“[DeepSeek] has demonstrated that smaller open models can be trained to be as capable or more capable than larger proprietary models and this can be done at a fraction of the cost,” said Sid Sheth, CEO of AI chip start-up d-Matrix. 

“With the broad availability of small capable models, they have catalyzed the age of inference,” he told CNBC, adding that the company has recently seen a surge in interest from global customers looking to speed up their inference plans. 

Robert Wachen, co-founder and COO of AI chipmaker Etched, said dozens of companies have reached out to the startup since DeepSeek released its reasoning models.

“Companies are [now] shifting their spend from training clusters to inference clusters,” he said. 

“DeepSeek-R1 proved that inference-time compute is now the [state-of-the-art] approach for every major model vendor and thinking isn’t cheap – we’ll only need more and more compute capacity to scale these models for millions of users.”

Jevon’s Paradox 

Analysts and industry experts agree that DeepSeek’s accomplishments are a boost for AI inference and the wider AI chip industry. 

“DeepSeek’s performance appears to be based on a series of engineering innovations that significantly reduce inference costs while also improving training cost,” according to a report from Bain & Company.

“In a bullish scenario, ongoing efficiency improvements would lead to cheaper inference, spurring greater AI adoption,” it added. 

This pattern explains Jevon’s Paradox, a theory in which cost reductions in a new technology drive increased demand.

Financial services and investment firm Wedbush said in a research note last week that it continues to expect the use of AI across enterprise and retail consumers globally to drive demand.

Speaking to CNBC’s “Fast Money” last week, Sunny Madra, COO at Groq, which develops chips for AI inference, suggested that as the overall demand for AI grows, smaller players will have more room to grow.

“As the world is going to need more tokens [a unit of data that an AI model processes] Nvidia can’t supply enough chips to everyone, so it gives opportunities for us to sell into the market even more aggressively,” Madra said.

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Chinese EV players take fight to legacy European automakers on their home turf

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Chinese EV players take fight to legacy European automakers on their home turf

Xpeng CEO He Xiaopeng speaks to reporters at the electric carmaker’s stand at the IAA auto show in Munich, Germany on September 8, 2025.

Arjun Kharpal | CNBC

Germany this week played host to one of the world’s biggest auto shows — but in the heartland of Europe’s auto industry, it was buzzy Chinese electric car companies looking to outshine some of the region’s biggest brands on their home turf.

The IAA Mobility conference in Munich was packed full of companies with huge stands showing off their latest cars and technology. Among some of the biggest displays were those from Chinese electric car companies, underscoring their ambitions to expand beyond China.

Europe has become a focal point for the Asian firms. It’s a market where the traditional automakers are seen to be lagging in the development of electric vehicles, even as they ramp up releases of new cars. At the same time, Tesla, which was for so long seen as the electric vehicle market leader, has seen sales decline in the region.

Despite Chinese EV makers facing tariffs from the European Union, players from the world’s second-largest economy have responded to the ramping up of competition by setting aggressive sales and expansion targets.

“The current growth of Xpeng globally is faster than we have expected,” He Xiaopeng, the CEO of Xpeng told CNBC in an interview this week.

Aggressive expansion plans

Chinese carmakers who spoke to CNBC at the IAA show signaled their ambitious expansion plans.

Xpeng’s He said in an interview that the company is looking to launch its mass-market Mona series in Europe next year. In China, Xpeng’s Mona cars start at the equivalent of just under $17,000. Bringing this to Europe would add some serious price competition.

Xpeng steps up global rivalry with mass-market Mona EV series

Meanwhile, Guangzhou Automobile Group (GAC) is targeting rapid growth of its sales in Europe. Wei Haigang, president of GAC International, told CNBC that the company aims to sell around 3,000 cars in Europe this year and at least 50,000 units by 2027. GAC also announced plans to bring two EVs — the Aion V and Aion UT — to Europe. Leapmotor was also in attendance with their own stand.

There are signs that Chinese players have made early in roads into Europe. The market share of Chinese car brands in Europe nearly doubled in the first half of the year versus the same period in 2024, though it still remains low at just over 5%, according to Jato Dynamics.

“The significant presence of Chinese electric vehicle (EV) makers at the IAA Mobility, signals their growing ambitions and confidence in the European market,” Murtuza Ali, senior analyst at Counterpoint Research, told CNBC.

Tech and gadgets in focus

Many of the Chinese car firms have positioned themselves as technology companies, much like Tesla, and their cars highlight that.

Many of the electric vehicles have big screens equipped with flashy interfaces and voice assistants. And in a bid to lure buyers, some companies have included additional gadgets.

For example, GAC’s Aion V sported a refrigerator as well as a massage function as part of the seating.

The Aion V is one of the cars GAC is launching in Europe as it looks to expand its presence in the region. The Aion V is on display at the company’s stand at the IAA Mobility auto show in Munich, Germany on September 9, 2025.

Arjun Kharpal | CNBC

This is one way that the Chinese players sought to differentiate themselves from legacy brands.

“The chances of success for Chinese automakers are strong, especially as they have an edge in terms of affordability, battery technology, and production scale,” Counterpoint’s Ali said.

Europe’s carmakers push back

Legacy carmakers sought to flex their own muscles at the IAA with Volskwagen, BMW and Mercedes having among the biggest stands at the show. Mercedes in particular had advertising displayed all across the front entrance of the event.

BMW, like the Chinese players, had a big focus on technology by talking up its so-called “superbrain architecture,” which replaces hardware with a centralized computer system. BMW, which introduced the iX3 at the event, and chipmaker Qualcomm also announced assisted driving software that the two companies co-developed.

Volkswagen and French auto firm Renault also showed off some new electric cars.

Regardless of the product blitz, there are still concerns that European companies are not moving fast enough. BMW’s new iX3 is based on the electric vehicle platform it first debuted two years ago. Meanwhile, Chinese EV makers have been quick in bringing out and launching newer models.

“A commitment to legacy structures and incrementalism has slowed its ability to build and leverage a robust EV ecosystem, leaving it behind fast moving rivals,” Tammy Madsen, professor of management at the Leavey School of Business at Santa Clara University, said of BMW.

While European autos have a strong brand history and their CEOs acknowledged and welcomed the competition this week in interviews with CNBC, the Chinese are not letting up.

VW CEO says "when you have good competitors you have to be better"

“Europe’s automakers still hold significant brand value and legacy. The challenge for them lies in achieving production at scale and adopting new technologies faster,” Counterpoint’s Ali said.

“The Chinese surely are not waiting for anyone to catch-up and are making significant gains.”

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OpenAI announces new mentorship program for budding tech founders

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OpenAI announces new mentorship program for budding tech founders

Dado Ruvic | Reuters

OpenAI on Friday introduced a new program, dubbed the “OpenAI Grove,” for early tech entrepreneurs looking to build with artificial intelligence, and applications are already open.

Unlike OpenAI’s Pioneer Program, which launched in April, Grove is aimed towards individuals at the very nascent phases of their company development, from the pre-idea to pre-seed stage.

For five weeks, participants will receive mentoring from OpenAI technical leaders, early access to new tools and models, and in-person workshops, located in the company’s San Francisco headquarters.

Roughly 15 members will join Grove’s first cohort, which will run from Oct. 20 to Nov. 21, 2025. Applicants will have until Sept. 24 to submit an entry form.

CNBC has reached out to OpenAI for comment on the program.

Following the program, Grove participants will be able to continue working internally with the ChatGPT maker, which was recent valued $500 billion.

Other industry rivals have also already launched their own AI accelerator programs, including the Google for Startups Cloud AI Accelerator last winter. Earlier this April, Microsoft for Startups partnered with PearlX, a cohort accelerator program for pre-seed companies.

Nurturing these budding AI companies is just a small chip in the recent massive investments into AI firms, which ate up an impressive 71% of U.S. venture funding in 2025, up from 45% last year, according to an analysis from J.P. Morgan.

AI startups raised $104.3 billion in the U.S. in the first half of this year, and currently over 1,300 AI startups have valuations of over $100 million, according to CB Insights.

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Benioff says he’s ‘inspired’ by Palantir, but takes another jab at its prices

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Benioff says he's 'inspired' by Palantir, but takes another jab at its prices

Salesforce CEO Marc Benioff on what the market is getting wrong about AI

Marc Benioff is keeping an eye on Palantir.

The co-founder and CEO of sales and customer service management software company Salesforce is well aware that investors are betting big on Palantir, which offers data management software to businesses and government agencies.

“Oh my gosh. I am so inspired by that company,” Benioff told CNBC’s Morgan Brennan in a Tuesday interview at Goldman Sachs‘ Communacopia+Technology conference in San Francisco. “I mean, not just because they have 100 times, you know, multiple on their revenue, which I would love to have that too. Maybe it’ll have 1000 times on their revenue soon.”

Salesforce, a component of the Dow Jones Industrial Average, remains 10 times larger than Palantir by revenue, with over $10 billion in revenue during the latest quarter. But Palantir is growing 48%, compared with 10% for Salesforce.

Benioff added that Palantir’s prices are “the most expensive enterprise software I’ve ever seen.”

“Maybe I’m not charging enough,” he said.

Read more CNBC tech news

It wasn’t Benioff’s first time talking about Palantir. Last week, Benioff referenced Palantir’s “extraordinary” prices in an interview with CNBC’s Jim Cramer, saying Salesforce offers a “very competitive product at a much lower cost.”

The next day, TBPN podcast hosts John Coogan and Jordi Hays asked for a response from Alex Karp, Palantir’s co-founder and CEO.

“We are very focused on value creation, and we ask to be modestly compensated for that value,” Karp said.

The companies sometimes compete for government deals, and Benioff touted a recent win over Palantir for a U.S. Army contract.

Palantir started in 2003, four years after Salesforce. But while Salesforce went public in 2004, Palantir arrived on the New York Stock Exchange in 2020.

Palantir’s market capitalization stands at $406 billion, while Salesforce is worth $231 billion. And as one of the most frequently traded stocks on Robinhood, Palantir is popular with retail investors.

Salesforce shares are down 27% this year, the worst performance in large-cap tech.

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We're seeing an incredible transformation in enterprise, says Salesforce CEO Marc Benioff

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