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People learn about Baidu’s artificial intelligence chatbot service Ernie Bot during the 2nd Global Digital Trade Expo at Hangzhou International Expo Center on November 23, 2023 in Hangzhou, Zhejiang Province of China. 

China News Service | China News Service | Getty Images

Nvidia’s rocket-ship ride in the stock market underscores the extent to which chip quality and availability will dictate the winners in the generative AI era. But there’s another aspect to measuring early leads in the space. In China, which is angling to produce its own chips or get more from Nvidia, no dominant gen AI contender to OpenAI has emerged yet among dozens of Chinese tech titans and startups.    

Late to the game, China is seeking to catch the lead of OpenAI in a wider U.S. AI market shaped by tech titans Microsoft, Alphabet’s Google and Amazon, and well-financed startups including Anthropic, which this week received a $2.7 billion infusion of cash from Amazon.

In the fast-moving field, the gap between the U.S. and its tech rival China is seen as wide. “The leading Chinese companies are benchmarking against ChatGPT, which indicates how far behind they are,” said Paul Triolo, senior vice president for China and technology policy lead at Dentons Global Advisors in Washington, D.C.

“Not too many companies can support their own large language model. It takes a lot of capital. Silicon Valley is definitely well ahead of the game,” said Jenny Xiao, a partner at AI VC firm Leonis Capital in San Francisco.

The U.S. remains the biggest investment market. Last year, funding of gen AI upstarts accounted for nearly half of $42.5 billion invested globally in artificial intelligence companies, according to CB Insights. In the U.S., VCs and corporate investors drove AI investment to $31 billion across 1,151 deals, led by large outlays in OpenAI, Anthropic and Inflection. This compares with $2 billion in 68 deals in China, which marked a large drop from 2022’s $5.5 billion in 377 deals. The fall-off is partly attributable to restrictions on of U.S. venture investment into China.

“China is at a big disadvantage in building the foundation models for Gen AI,” said Rui Ma, an AI investor and co-founder of investment syndicate and podcast TechBuzz China.  

But where China lags in foundational models, which are dominated by OpenAI and Google’s Gemini, it’s closing the gap by using Meta’s open source, large language model Llama 1, and Triolo said the Chinese contenders, if behind, are improving on the U.S. model.

“Many of the China models are effectively forks of Llama, and the consensus is that these forks are one to two years behind the leading U.S companies OpenAI and its video-to-text model Sora,” Ma said.

China does have the tech talent to make a difference in the AI rivalry in the years ahead.

A new study by think tank Marco Polo, run by the Paulson Institute, shows that the U.S. is home to 60% of top AI institutions, and the U.S. remains by far the leading destination for elite AI talent at 57% of the total, compared with China at 12%. But the research finds that China leads the U.S. by a few other measures, including being ahead of the U.S. in producing top-tier AI researchers, based on undergraduate degrees, with China at 47% and the U.S. lagging with 18%. Additionally, among top-tier AI researchers working at U.S. institutions, 38% have China as their country of origin, compared with 37% from the U.S.

New Chinese gen AI market entries can also reach mass adoption quickly. Baidu’s ChatGPT competitor, Ernie Bot, released in August 2023, reached 100 million users by the end of the year. Samsung is planning to integrate Baidu’s Ernie AI into its new Galaxy S smartphones while in another high-profile development that speaks to U.S.-China relations, Apple is in talks with Baidu about supplying the iPhone 16 with the Chinese company’s gen AI technology. 

Within its current slate of AI contenders, Baidu’s Ernie Bot models are considered among the most advanced, according to Leong.

Apple reportedly in talks with Baidu on AI for devices

Several other Chinese companies are forging ahead, funded by major players in its own technology market. Large cloud companies such as such as Baidu and Alibaba, social media players ByteDance and Tencent, and tech companies SenseTime, iFlyTek, Megvii and Horizon Robotics, as well as research institutes, are all aiding the effort. 

Moonshot AI, funded by China’s e-commerce giant Alibaba and VC firm Hongshan (previously Sequoia China), is building large language models that can handle long content inputs. Meanwhile, former Google China president Kai-Fu Lee has developed an open source gen AI model, 01.AI, funded by Alibaba and his firm Sinovation Ventures.   

While China has accelerated development of its homegrown chip industry and advanced AI, its AI development has been limited in part by U.S. restrictions on exporting high-end AI chips, a market cornered by Nvidia, as part of a new battleground for tech supremacy between the U.S. and China

“Despite efforts to develop indigenous solutions, Chinese AI developers still largely rely on foreign hardware, particularly from U.S. companies, which is a vulnerability in the current geopolitical climate,” said Bernard Leong, founder and CEO of tech advisory Analyse Asia in Singapore.    

The ongoing tensions between the U.S. and China over technology innovation and national security issues is leading to a split in gen AI development, following the pattern of other impactful technologies caught up in superpower tech arms races. Given regulations and bans over sensitive, cutting-edge technologies, the likely outcome is two parallel ecosystems for gen AI, one in the U.S. and one in China. ChatGPT is blocked in China while Baidu’s Ernie Bot can only be accessed in the U.S. with a mainland Chinese cell phone number. “U.S. companies can’t go into China and Chinese companies can’t go into the U.S.,” Xiao said.  

U.S. Secretary of Commerce Gina Raimondo has stated that a goal of U.S. curbs on AI chip exports is to prevent China from acquiring or producing advanced chips. As mainland China focuses on homegrown capabilities, Chinese companies SMIC or Huawei could be an alternative to Nvidia. But the future for alternates is likely uncertain if export controls cut off these companies from the most advanced designs for manufacturing. Triolo noted that Huawei recently developed a series of AI chips as a rival to Nvidia.  

China is getting ahead in applying AI to certain categories, such as computer vision. “The chip shortage is very important for training foundational models where you need certain chips, but for applications, you don’t need that,” Ma said.

The “real killer app” for gen AI, according to Triolo, will be in companies that are willing to pay money to harness the technology as part of their business operations. Alibaba is focusing on integrating AI into its e-commerce ecosystem. Huawei, while competing more successfully against Apple’s iPhone in the consumer market in the past year, also has broader ambitions, developing AI for specific industries including mining, using its in-house hardware, Leong said.

Boston Consulting Group research suggests it may be a while before this wider gen AI market ramps outside of tech. Sixty percent of 1,400 executives surveyed are waiting to see how gen AI regulations develop, while only 6 percent of companies have trained their employees on gen AI tools.

AI and tech issues are front and center for China’s leadership, with the country’s release of guardrails on AI in 2023 after ChatGPT’s breakthrough, and then modifications of some measures.

The open source gen AI technology many Chinese developers use can encourage collaboration among globally and lead to shared insights as AI advances, but Leong said open source also leads to issues related to ensuring quality and security of the models, as well as managing bias and potential misuse of AI.

“China wants to make sure content is not spewing out. They also want their companies to lead and are willing to reign in draconian measures,” Triolo said.

Ethical and social concerns hinder gen AI advances in China as well as other regions, including the U.S., as see in the battle for control over OpenAI’s mission. Within China, there is another factor that could slow AI acceleration, according to Leong: maintaining control of gen AI applications, especially in areas sensitive to state interests.

Ben Horowitz: We have to make sure AI regulation doesn't slow down the tech industry

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Apple takes control of all core chips in iPhone Air with new architecture to prioritize AI

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Apple takes control of all core chips in iPhone Air with new architecture to prioritize AI

iPhone Air is the big newcomer among Apple‘s latest lineup that went on sale Friday, but inside the slim phone’s raised plateau is another new piece of hardware that signals a renewed focus on artificial intelligence. 

Apple’s custom A19 Pro chip introduces a major architecture change, with neural accelerators added to each GPU core to increase compute power. Apple also debuted its first ever wireless chip for iPhone, the N1, and a second generation of its iPhone modem, the C1X. It’s a move analysts say gives Apple control of all the core chips in its phones.

“That’s where the magic is. When we have control, we are able to do things beyond what we can do by buying a merchant silicon part,” said Tim Millet, Apple vice president of platform architecture. He sat down with CNBC at Apple Park in September for the first U.S. interview about the new chips.

Until now, Broadcom was the main provider of wireless and bluetooth chips for iPhones, although Apple has made networking chips for the AirPods and Apple Watch for nearly a decade. Apple’s N1 is in the entire iPhone 17 lineup and the iPhone Air.

Arun Mathias, Apple vice president of wireless software technologies and ecosystems, gave CNBC an example of the N1’s improved Wi-Fi functionality. 

“One of the things people may not realize is that your Wi-Fi access points actually contribute to your device’s awareness of location, so you don’t need to use GPS, which actually costs more from a power perspective,” Mathias said. “By being able to do this more seamlessly in the background, not needing to wake up the application processor as much, we can do that significantly more efficiently.”

Apple’s new custom SoC for iPhone, A19 Pro, has neural accelerators added to the GPU cores to prioritize AI workloads

Emily Park

For iPhone modems, Qualcomm has been the sole provider since 2020. That changed in February when Apple unveiled the C1 in the iPhone 16e. It’s a plan first set in motion in 2019, with Apple’s purchase of Intel’s modem business for $1 billion. Qualcomm has long warned investors of the coming change. 

Qualcomm modems remain in the iPhone 17, 17 Pro and 17 Pro Max, but Apple’s C1X is in the iPhone Air. 

“It may not be as good as Qualcomm’s yet, in terms of just overall throughput and performance, but they can control it and they can make it run at lower power. So you’re going to get better battery life,” said Ben Bajarin, CEO of Creative Strategies, a technology research and consulting firm. He expects Apple to “completely phase out” Qualcomm in the “next couple of years.”

Apple’s Mathias said the C1X is “up to twice as fast” as the C1 and “uses 30% less energy” than the Qualcomm modem in the iPhone 16 Pro.

Neither Qualcomm or Broadcom saw much market impact following Apple’s announcement, and both companies will maintain licensing deals with Apple for certain core technologies.

AI accelerators on A19 Pro

Apple’s three new chips come amid increasing pressure from Wall Street about the company’s AI strategy.

“They probably won’t ever have their own Apple model like Google or OpenAI,” Bajarin said. “They’re still going to run those services on iPhone, right? They want the iPhone to be the best place for developers to run their AI.”

Apple has been making its own system on a chip, or SoC, since the A series launched with the iPhone 4 in 2010. The latest generation A19 Pro has a new chip architecture that prioritizes AI workloads, adding neural accelerators to the GPU cores.

“We are building the best on-device AI capability that anyone else has,” Millet told CNBC. “Right now we are focused on making sure that these phones that we’re shipping today, or shipping soon, will be capable of all the important on-device AI workloads that are coming.”

Privacy is a major reason Apple is prioritizing on-device AI, but Millet said there’s another reason, too. 

“It is efficient for us. It is responsive. We know that we are much more in control over the experience,” he said. 

One “built-in AI” feature Millet highlighted is the new front camera that uses AI to detect a new face and automatically switches to taking a horizontal photo. “It’s leveraging a full complement of almost all the capabilities in the A19 Pro,” Millet said.

Apple’s original AI hardware, its Neural Engine, was first unveiled back in 2017. It was barely mentioned at the launch. Instead, it’s all about adding compute power to the GPUs. 

“The integration of the neural processing is reaching MacBook Pro class performance inside an iPhone,” Millet said. “It’s a big, big step forward in ML compute. And so when you look inside the Neural Engine, for example, you have a lot of dense matrix math. We didn’t have that capability in our GPU. But now we do with A19 Pro.”

Bajarin told CNBC that Apple’s neural accelerators may work similarly to the tensor cores on Nvidia‘s AI chips, such as the H100.

“We’re integrating neural processing in a way that allows someone who’s writing a program to one of those small processors, extending the instruction set so they have a new class of computer that they have access to right there, and they can switch back and forth between 3D-rendering instructions and neural-processing instructions, all seamlessly inside the same microprogram,” Millet said.

Apple’s previous generation A19 SoC is in the base model iPhone 17, while the A19 Pro is in the iPhone Air, iPhone 17 and 17 Pro Max.

Apple’s iPhone 17 Pro shown on September 9, 2025 at Apple Park in California has enhanced 3D-rendering capabilities powered by Apple’s custom chip, A19 Pro, with neural accelerators added to the 6 GPU cores.

Katie Tarasov

Following overheating issues in the iPhone 15, a new “vapor chamber” in the Pro models keeps the custom chips cool.

“It’s actually positioned in concert with where the system on a chip, the A19 Pro is positioned,” said Kaiann Drance, Apple’s vice president of worldwide iPhone product marketing. “We think about how that all goes together, including with that forged unibody aluminum design, which is incredibly thermally conductive so that we can effectively dissipate heat with the vapor chamber, with where it’s positioned with our chip. And it’s even laser welded into it, which creates a metallic bond which also helps dissipate heat.”

More chips, more U.S. manufacturing

Apple still relies on others for smaller components, like Samsung for memory and Texas Instruments for analog chips. All bigger core chips, however, may be Apple-designed in every iPhone as soon as next year, according to Bajarin.

“We expect that there would be modems coming to Mac. We would expect there’s modems coming to iPad. There’s probably N variants of the networking chip coming to Mac,” Bajarin said. “I think over the course of the next few years, it will be on all of the portfolio.”

When CNBC asked Apple’s Millet if neural accelerators will be in the GPU cores of M5, the next anticipated SoC for Mac, he said, “We have a unified approach to architecture.”

The iPhone maker plans to manufacture at least some of its custom chips in the U.S., at facilities like Taiwan Semiconductor Manufacturing Company‘s new campus in Arizona, where CNBC got a tour of the first completed fab.

Apple’s A19 Pro is made at the leading edge of TSMC’s 3-nanometer node. While TSMC is working toward 3nm production in Arizona by 2028, it’s not there yet.

“If you need to be on the leading edge, it’s going to be Taiwan for the time being,” Bajarin said. 

In August, Trump announced a 100% tariff on chips from companies not making domestically. That same day, Apple increased its U.S. spending commitment to $600 billion over the next four years. CEO Tim Cook said part of that will go toward creating an “end-to-end silicon supply chain right here in America.”

“There’s really a question of what part of tariffs impact the silicon supply chain,” Bajarin said. “This is obviously why Apple and Tim Cook are on their mission and out there talking about investing in America.”

As part of that plan, Bajain said Apple could give struggling U.S. chipmaker Intel “serious consideration if 14A really does deliver on all of its promises.” Although, he added, it’s “going to be awhile” before Intel “becomes a viable option.”

For now, Apple is committed to making chips at TSMC Arizona.

“We are super excited about TSMC’s push into U.S. manufacturing. Obviously it will help us from a time zone perspective, and we also appreciate that the diversity of the supply is also really important,” Millet said.

When asked if he knows how much of Apple’s $600 billion U.S. spend will go toward custom silicon, Millet said, “I hope it’s a lot.”

Watch the video to see a behind-the-scenes look at Apple’s latest custom silicon.

Kif Leswing contributed to this report.

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Hands-on with the Meta Ray-Ban Display glasses

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Hands-on with the Meta Ray-Ban Display glasses

Mark Zuckerberg, chief executive officer of Meta Platforms Inc., wears a pair of Meta Ray-Ban Display AI glasses during the Meta Connect event in Menlo Park, California, US, on Wednesday, Sept. 17, 2025.

David Paul Morris | Bloomberg | Getty Images

When it comes to the new $799 Meta Ray-Ban Display glasses, it’s the device’s accompanying fuzzy, gray wristband that truly dazzles.

I was able to try out Meta’s next-generation smart glasses that the social media company announced Wednesday at its annual Connect event. These are the first glasses that Meta sells to consumers with a built-in display, marking an important step for the company as it works toward CEO Mark Zuckerberg’s vision of having headsets and glasses overtake smartphones as people’s preferred form of computing.

The display on the new glasses, though, is still quite simplistic. Last year at Connect, Meta unveiled its Orion glasses, which are a prototype capable of overlaying complex 3D visuals onto the physical world. Those glasses were thick, required a computing puck and were built for demo purposes only.

The Meta Ray-Ban Display, however, is going on sale to the public, starting in the U.S. on Sept. 30.

Though the new glasses include just a small digital display in their right lens, that screen enables unique visual functions, like reading messages, seeing photo previews and reading live captions while having a conversation with someone.

Controlling the device requires putting on its EMG sensor wristband that detects the electrical signals generated by a person’s body so they can control the glasses via hand gestures. Putting it on was just like strapping on a watch, except for the small, electric jolt I felt when it activated. It wasn’t as much of a shock as you feel taking clothes out of the dryer, but it was noticeable.

Donning the new glasses was less shocking, until I had them on and saw the little display emerge, just below my right cheek. The display is like a miniaturized smartphone screen but translucent so as to not obscure real-world objects.

Despite being a high-resolution display, the icons weren’t always clear when contrasted with my real-world field of view, causing the letters to appear a bit murky. These visuals aren’t meant to wrap around your head in crystal-clear fidelity, but are there for you to perform simple actions, like activating the glasses’ camera and glancing at the songs on Spotify. It’s more utility than entertainment.

The Meta Ray-Ban Display AI glasses with the Meta Neural Band wristband at Meta headquarters in Menlo Park, California, US, on Tuesday, Sept. 16, 2025.

David Paul Morris | Bloomberg | Getty Images

I had the most fun trying to perform hand gestures to navigate the display and open apps. By clenching my fist and swiping my thumb on the surface of my pointer finger, I was able to scroll through the apps like I was using a touchpad.

It took me several attempts at first to open the camera app through pinching my index finger and thumb together, and when the app wouldn’t activate I would find myself pinching twice, mimicking the double clicking of a mouse on a computer. But whereas using a mouse is second nature to me, I learned I have subpar pinching skills that lack the correct cadence and timing required to consistently open the app.

It was a bit strange and amusing to see people in front of me while I continuously pinched my fingers to interact with the screen. I felt like I was reenacting an infamous comedy scene from the TV show “The Kids in The Hall” in which a misanthrope watches people from afar while pinching his fingers and saying, “I’m crushing your head, I’m crushing your head!”

With the camera app finally opened, the display showed what I was looking at in front of me, giving me a preview of how my photos and videos would turn out. It was like having my own personal picture-in-picture feature like you would on a TV.

I found myself experiencing some cognitive dissonance at times as my eyes were constantly figuring out what to focus on due to the display always sitting just outside the center of my field of view. If you’ve ever taken a vision test that involves identifying when you see squiggly lines appearing in your periphery, you have a sense of what I was feeling.

Besides pinching, the Meta Ray-Ban Display glasses can also be controlled using the Meta AI voice assistant, just as users can with the device’s predecessors.

When I took a photo of some of the paintings decorating the demo room’s halls, I was told by support staff to ask Meta AI to explain to me what I was looking at. Presumably, Meta AI would have told me I was looking at various paintings from the Bauhaus art movement, but the digital assistant never activated correctly before I was escorted to another part of the demo.

I could see the Meta Ray-Ban Display’s live captions feature being helpful in noisy situations, as it successfully picked up the voice of the demo’s tour guide while dance music from the Connect event blared in the background. When he said “Let’s all head to the next room,” I saw his words appear in the display like closed-captions on a TV show.

But ultimately, I was most drawn to the wristband, particularly when I listened to some music with the glasses via Spotify. By rotating my thumb and index finger as if I was turning an invisible stereo knob,
I was able to adjust the volume, an expectedly delightful experience.

It was this neural wristband that really drilled into my brain how much cutting-edge technology has been crammed into the new Meta Ray-Ban Display glasses. And while the device’s high price may turn off consumers, the glasses are novel enough to potentially attract developers seeking more computing platforms to build apps for.

WATCH: Next important wearable tech will be glasses, says Meta’s chief product officer.

Meta's chief product officer on its latest AI smart glasses

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Navan, corporate travel and expense startup, files for initial public offering

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Navan, corporate travel and expense startup, files for initial public offering

By year-end there should be around 20 tech IPOS, says Barclays' Kristin DeClark

Navan, the business travel, payments, and expense management startup, filed on Friday afternoon to go public.

Its S-1 filing with the Securities and Exchange Commission indicates that the company plans to list on the Nasdaq Global Select Market under the symbol “NAVN.”

Navan reported trailing 12-month revenue of $613 million (up 32%) across over 10,000 customers, and gross bookings of $7.6 billion (up 34%), according to the S-1 filing.

Goldman Sachs and Citigroup will act as lead book-running managers for the proposed offering.

Navan ranked No. 39 on this year’s CNBC Disruptor 50 list, and also made the 2024 list.

The IPO market has bounced back this year, with deal activity up 56% across 156 deals (roughly 200 IPO filings in all) and $30 billion in proceeds, up over 23% year over year, according to IPO tracker Renaissance Capital. It has been the best year for IPOs since 2021, though still far below the Covid offering boom years, when over $142 billion (2021) and $78 billion (2020) was raised by IPOs.

This year’s deal flow has been highlighted by hot AI names like Coreweave, as well as some of the startup world’s most highly valued firms from the past decade, such as fintech Klarna and design firm Figma, crypto companies Circle, Bullish and Gemini, and some long-awaited IPO candidates finally hitting the market, such as Stubhub this week, though its shares have slumped since the first day of trading. Top Amazon reseller Pattern went public on Friday.

Other startups are expected to pursue deals given the increased investor appetite.

The Renaissance IPO ETF is up 20% this year.

Launched by CEO Ariel Cohen and co-founder Ilan Twig in 2015, Navan set out to disrupt a business travel sector where incumbents relied on clunky legacy tools and fragmented workflows.

The Palo Alto-based company, formerly called TripActions, refers to itself as an “all-in-one super app” for corporate travel and expenses.

Customers include Unilever, Adobe, Christie’s, Blue Origin and Geico.

It has also been pushing further into AI, with a virtual assistant named Ava handling approximately 50% of user interactions during the six months ended July 31, according to the filing, and a proprietary AI framework called Navan Cognition supporting its platform, as well as proprietary cloud infrastructure.

“We built Navan for the road warriors, for CEOs and CFOs who understand travel’s critical importance to their strategy, the finance teams who demand precision and control, the executive assistants juggling itineraries, and the program admins ensuring seamless events,” the co-founders wrote in an IPO filing letter.

“We saw firsthand the frustration of clunky, outdated systems. Travelers were forced to cobble together solutions, wait for hours on hold to book or change travel, and negotiate with travel agents. They struggled to adhere to company policies, with little visibility into those policies, and after all that, they spent even more time on tedious expense reports after a trip. We felt the pain of finance teams struggling to gain visibility into fragmented travel spending and to enforce policies, and the frustration of suppliers unable to connect directly with the high-value business travelers they sought to serve,” they wrote in the filing.

Revenue grew 33% year-over-year from $402 million in fiscal 2024 to $537 million in fiscal 2025, according to the S-1 filing. The company reported a net loss that decreased 45% year-over-year from $332 million in fiscal 2024 to $181 million in fiscal 2025. Gross margin improved from 60% in fiscal 2024 to 68% in fiscal 2025.

The business travel and expense space is crowded, with fellow Disruptors Ramp and Brex, and TravelPerk, as well as incumbents like SAP Concur and American Express Global Business Travel.

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