US Vice President Kamala Harris applauds as US President Joe Biden signs an executive order after delivering remarks on advancing the safe, secure, and trustworthy development and use of artificial intelligence, in the East Room of the White House in Washington, DC, on October 30, 2023.
Brendan Smialowski | AFP | Getty Images
After the Biden administration unveiled the first-ever executive order on artificial intelligence on Monday, a frenzy of lawmakers, industry groups, civil rights organizations, labor unions and others began digging into the 111-page document — making note of the priorities, specific deadlines and, in their eyes, the wide-ranging implications of the landmark action.
One core debate centers on a question of AI fairness. Many civil society leaders told CNBC the order does not go far enough to recognize and address real-world harms that stem from AI models — especially those affecting marginalized communities. But they say it’s a meaningful step along the path.
Many civil society and several tech industry groups praised the executive order’s roots — the White House’s blueprint for an AI bill of rights, released last October — but called on Congress to pass laws codifying protections, and to better account for training and developing models that prioritize AI fairness instead of addressing those harms after-the-fact.
“This executive order is a real step forward, but we must not allow it to be the only step,” Maya Wiley, president and CEO of The Leadership Conference on Civil and Human Rights, said in a statement. “We still need Congress to consider legislation that will regulate AI and ensure that innovation makes us more fair, just, and prosperous, rather than surveilled, silenced, and stereotyped.”
U.S. President Joe Biden and Vice President Kamala Harris arrive for an event about their administration’s approach to artificial intelligence in the East Room of the White House on October 30, 2023 in Washington, DC.
Chip Somodevilla | Getty Images
Cody Venzke, senior policy counsel at the American Civil Liberties Union, believes the executive order is an “important next step in centering equity, civil rights and civil liberties in our national AI policy” — but that the ACLU has “deep concerns” about the executive order’s sections on national security and law enforcement.
In particular, the ACLU is concerned about the executive order’s push to “identify areas where AI can enhance law enforcement efficiency and accuracy,” as is stated in the text.
“One of the thrusts of the executive order is definitely that ‘AI can improve governmental administration, make our lives better and we don’t want to stand in way of innovation,'” Venzke told CNBC.
“Some of that stands at risk to lose a fundamental question, which is, ‘Should we be deploying artificial intelligence or algorithmic systems for a particular governmental service at all?’ And if we do, it really needs to be preceded by robust audits for discrimination and to ensure that the algorithm is safe and effective, that it accomplishes what it’s meant to do.”
Margaret Mitchell, researcher and chief ethics scientist of AI startup Hugging Face said she agreed with the values the executive order puts forth — privacy, safety, security, trust, equity and justice — but is concerned about the lack of focus on ways to train and develop models to minimize future harms, before an AI system is deployed.
“There was a call for an overall focus on applying red-teaming, but not other more critical approaches to evaluation,” Mitchell said.
“‘Red-teaming’ is a post-hoc, hindsight approach to evaluation that works a bit like whack-a-mole: Now that the model is finished training, what can you think of that might be a problem? See if it’s a problem and fix it if so.”
Mitchell wished she had seen “foresight” approaches highlighted in the executive order, such as disaggregated evaluation approaches, which can analyze a model as data is scaled up.
Dr. Joy Buolamwini, founder and president of the Algorithmic Justice League, said Tuesday at an event in New York that she felt the executive order fell short in terms of the notion of redress, or penalties when AI systems harm marginalized or vulnerable communities.
Even experts who praised the executive order’s scope believe the work will be incomplete without action from Congress.
“The President is trying to extract extra mileage from the laws that he has,” said Divyansh Kaushik, associate director for emerging technologies and national security at the Federation of American Scientists.
For example, it seeks to work within existing immigration law to make it easier to retain high-skilled AI workers in the U.S. But immigration law has not been updated in decades, said Kaushik, who was involved in collaborative efforts with the administration in crafting elements of the order.
It falls on Congress, he added, to increase the number of employment-based green cards awarded each year and avoid losing talent to other countries.
Industry worries about stifling innovation
On the other side, industry leaders expressed wariness or even stronger feelings that the order had gone too far and would stifle innovation in a nascent sector.
Andrew Ng, longtime AI leader and cofounder of Google Brain and Coursera, told CNBC he is “quite concerned about the reporting requirements for models over a certain size,” adding that he is “very worried about overhyped dangers of AI leading to reporting and licensing requirements that crush open source and stifle innovation.”
In Ng’s view, thoughtful AI regulation can help advance the field, but over-regulation of aspects of the technology, such as AI model size, could hurt the open-source community, which would in turn likely benefit tech giants.
Vice President Kamala Harris and US President Joe Biden depart after delivering remarks on advancing the safe, secure, and trustworthy development and use of artificial intelligence, in the East Room of the White House in Washington, DC, on October 30, 2023.
Chip Somodevilla | Getty Images
Nathan Benaich, founder and general partner of Air Street Capital, also had concerns about the reporting requirements for large AI models, telling CNBC that the compute threshold and stipulations mentioned in the order are a “flawed and potentially distorting measure.”
“It tells us little about safety and risks discouraging emerging players from building large models, while entrenching the power of incumbents,” Benaich told CNBC.
NetChoice’s Vice President and General Counsel Carl Szabo was even more blunt.
“Broad regulatory measures in Biden’s AI red tape wishlist will result in stifling new companies and competitors from entering the marketplace and significantly expanding the power of the federal government over American innovation,” said Szabo, whose group counts Amazon, Google, Meta and TikTok among its members. “Thus, this order puts any investment in AI at risk of being shut down at the whims of government bureaucrats.”
But Reggie Townsend, a member of the National Artificial Intelligence Advisory Committee (NAIAC), which advises President Biden, told CNBC that he feels the order doesn’t stifle innovation.
“If anything, I see it as an opportunity to create more innovation with a set of expectations in mind,” said Townsend.
David Polgar, founder of the nonprofit All Tech Is Human and a member of TikTok’s content advisory council, had similar takeaways: In part, he said, it’s about speeding up responsible AI work instead of slowing technology down.
“What a lot of the community is arguing for — and what I take away from this executive order — is that there’s a third option,” Polgar told CNBC. “It’s not about either slowing down innovation or letting it be unencumbered and potentially risky.”
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
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.
“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 workingtoward 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.
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.
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.
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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