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Just because Silicon Valley is pumped to make this junk doesn’t mean people will buy it

Big Tech is fixated on making computers for your face and portable AI companions. Turns out there may be bad ideas in brainstorming.

For all its innovation, it can sometimes feel like all of Big Tech coalesces along a single idea. Lately it’s seemed like Silicon Valley’s best idea for the next best thing has been the same thing: an AI-powered device that isn’t a phone.

Last week, OpenAI announced that it’s buying io, former Apple design lead Jony Ive’s AI hardware startup. The plan so far is to make a “companion” device that sits on your desk, in your pocket, or maybe around your neck, and works in addition to your phone or computer.

Most everyone else has settled on AI-powered smart glasses as the device du jour.

Apple itself plans to release its AI-enhanced glasses at the end of next year. Like its competitors, the device would have cameras, microphones, and speakers allowing it to assess the outside world and let users communicate with its voice assistant.

Last week, Google announced Android XR, a framework meant to bring AI to face computers, including those made by Samsung, Warby Parker, and Gentle Monster.

Amazon has been working on AI glasses for internal use that would provide turn-by-turn navigation within buildings to help it decrease delivery times.

Meta, which partnered with Ray-Ban owner EssilorLuxottica, is the furthest along, having already sold more than 2 million units since they came out in October 2023. The company says it expects to produce 10 million a year starting next year and is expected to offer a more deluxe, more expensive version of the glasses by the end of 2025.

The idea is all roughly the same: create a new form factor through which you can interact with AI. It’s meant to give users access to their phone without having to pick it up and to overlay useful information on the outside world. But it all raises some important questions.

Why is everyone having the same idea at the same time?

It’s easy to see why Big Tech companies might want this. Anything that enables them to sell you devices or services, serve you ads, collect data, and generally be closer to your everyday lives is a big win for them.

And the tech is more ready for prime time than it’s ever been.

“With Google Glass, when they first came out, everybody was creeped out”

While the general idea of AI glasses has been floating around since before Google’s first foray with Glass more than a decade ago, with the rise of generative AI and other advances, we’re much closer now to having the technology to make it actually work. AI is better able to correctly identify what you’re looking at, chips are more powerful, and batteries are smaller.

Society, too, is more ready.

“With Google Glass, when they first came out, everybody was creeped out that all of a sudden there’s potentially somebody with a camera on you all the time,” Counterpoint Technology senior analyst Gerrit Schneemann told Sherwood News. “But now with social media, the mainstream user is more aware of the constant nature of being potentially on camera, so there’s less of a friction there.”

It’s also possible that a separate AI device is a genuinely good idea. In other words, a type of carcinization is going on where the form factor is so useful that a number of unrelated things are evolving to look like it (and it’s not just tech companies wanting you to use their proverbial crab).

While much of what these smart devices are offering is already possible on your phone, glasses or other hands-free devices open up a world of possibilities.

“If you look at insert company here —  it could be Google, it could be Meta, it could be Microsoft or Apple or Jony Ive, etc. — there is a recognition of the potential conveniences that are unique to this device that you can’t get anywhere else,” Ramon Llamas, a research director at IDC who specializes in wearables, told Sherwood.

The companies themselves are quick to advertise use cases for these devices.

As Shahram Izadi, vice president of AR/XR at Google, spun it at Google’s developer conference last week, “Unlike Clark Kent, you can get superpowers when you put your glasses on.”

Those powers were included in a demo where Product Manager Nishtha Bhatia sent and received texts without her hands and instead used those hands to double high-five basketball player Giannis Antetokounmpo. She asked her glasses to look up a band and then play songs from that band. The glasses recalled a logo from her coffee cup earlier, made a calendar invite with someone at that coffee shop, and provided step-by-step directions to the coffee shop. Perhaps most impressive: with only a small glitch, Bhatia and Izadi were able to see real-time translations of what each person was saying in Hindi and Farsi, respectively.

Remember, of course, that demos at tech conferences are not real life.

A lot of the draw for these devices is their potential. In other words, they will presumably get more powerful down the line and possibilities for how people might eventually use them are more interesting than what we’ve come up with to date.

And that promise is so tantalizing that Big Tech doesn’t want to be left out. Everyone is keenly aware that it’s been almost two decades since the iPhone launched, and they don’t want to be BlackBerry.

“ The great thing about starting now and everybody else starting now is the gold standard hasn’t been determined yet,” Llamas said. “Right now there’s a huge land grab.  If you are one of those companies to help guide and shape that market as it gets started and as it grows, you dictate the terms.”

That means these companies might be willing to tolerate lots of losses — looking at you, Meta — to jockey for position.

Do people really want this?

In a word, no. It’s not like consumers are out in the streets clamoring to put a computer on their face.

Rather, these devices seem a bit like a solution in search of a problem.

In one Google Gemini Live demo, an employee walks around her neighborhood misidentifying objects like a garbage truck as a convertible, only to have the AI assistant correct her. (The bit was reminiscent of HBO’s “Silicon Valley,” when Jian-Yang’s app disappointingly could only tell you whether something was or wasn’t a hotdog.) One can certainly think of single or niche use cases — especially for people with visual impairments — but it’s much more difficult to imagine wide-ranging, mass-market, everyday reasons to shell out hundreds or thousands to wear a computer on your face.

“I don’t see anything where people are going to say, ‘This is going to be so revolutionary that I need to have it.’”

As Llamas put it, “They’re still trying to figure out what spaghetti sticks to the wall.”

It doesn’t yet make a meal.

“If the only ‘benefit’ is to have the content of your phone in eyesight at all times, or with the voice prompt,” Schneemann said,  “I don’t see anything where people are going to say, ‘This is going to be so revolutionary that I need to have it.’”

Big Tech companies, it seems, are hoping that if they build it people will come — and make it useful. They’re providing a nurturing playground and hoping the big ideas come later. The hope is that much like with the iPhone’s subsequent App Store, developers will come up with the killer use case and build the next Uber or Instagram for AI glasses. But notably, the iPhone was pretty useful before the apps. People already need a phone and a computer, and it was good enough to be both.

Then there’s the big issue of whether the tech will actually work outside the narrow confines of the demos, which have been scripted and vetted. Look no further than notable AI device flops like Rabbit’s r1 and Humane’s pin to know that if a device fails to perform in the wild, no one will want it. Perhaps Ive’s ChatGPT-powered device will break the losing streak, but we won’t know till that comes out in late 2026.

Apple’s Vision Pro is also instructive. In the first year it came out, the immersive headset sold fewer than 500,000 units. While considered a technical marvel, the device has so far failed to generate any killer apps or use cases — at least not at its surprisingly expensive $3,500 cost.

Perhaps a relatively cheaper price tag will help smart glasses sell, but they also need people to actually want to use them and other companies that see how to build businesses around them.

For now, these devices will likely be relegated to early adopters.

Even Meta’s relatively successful Ray-Bans, which start around $300, are nowhere near mass market. While 2 million sold sounds like a lot, it’s nothing in comparison with the 232 million iPhones or even 34 million Apple Watches sold last year. It’s hard to believe that a deluxe version costing more than 3x as much would somehow push substantially more units. Also, remember the Metaverse? Just because Meta, née Facebook, wants something to be a big deal, doesn’t mean it will actually pan out.

Ultimately whether such devices become commercial successes will depend on whether they meet a number of thresholds: they will have to be fast enough, light enough, cheap enough, accurate enough, long-lasting enough, and useful enough for people to decide it’s worth toting around a whole new expensive device. We don’t know yet how much enough is enough, but we’re willing to bet we’re still at least a few years away.

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WSJ: Anduril’s weapons systems have failed during several tests

Autonomous drones by sea, land, and air. Futuristic AI-powered support fighter jets, and swarms of networked drones controlled by sophisticated software. These are some of the visions for the future of warfare pitched by defense tech startup Anduril. Cofounded by Oculus founder Palmer Luckey, the Peter Thiel-backed startup has landed some major national security contracts based on this futuristic outlook for battlefield AI.

But according to a report from The Wall Street Journal, the company’s tech is failing key tests in the real world, raising concerns about the viability and safety of Anduril’s systems within the military command.

Anduril’s Altius drones proved vulnerable to Russian jamming while deployed in Ukraine and have been pulled from the battlefield, per the report.

More than a dozen sea-based drone ships powered by Anduril’s Lattice command and control software recently shut down during a Navy test, creating a hazard for other vessels in the exercise.

And this summer, during a drone intercept test, Anduril’s counter-drone system crashed and caused a 22-acre fire at a California airport, the report found.

Anduril told the WSJ that the failures are just part of its rapid iterative development process:

“We recognize that our highly iterative model of technology development — moving fast, testing constantly, failing often, refining our work, and doing it all over again — can make the job of our critics easier. That is a risk we accept. We do fail… a lot.”

But according to a report from The Wall Street Journal, the company’s tech is failing key tests in the real world, raising concerns about the viability and safety of Anduril’s systems within the military command.

Anduril’s Altius drones proved vulnerable to Russian jamming while deployed in Ukraine and have been pulled from the battlefield, per the report.

More than a dozen sea-based drone ships powered by Anduril’s Lattice command and control software recently shut down during a Navy test, creating a hazard for other vessels in the exercise.

And this summer, during a drone intercept test, Anduril’s counter-drone system crashed and caused a 22-acre fire at a California airport, the report found.

Anduril told the WSJ that the failures are just part of its rapid iterative development process:

“We recognize that our highly iterative model of technology development — moving fast, testing constantly, failing often, refining our work, and doing it all over again — can make the job of our critics easier. That is a risk we accept. We do fail… a lot.”

tech
Jon Keegan

OpenAI’s partners shouldering $100 billion of debt, taking on all the risk

OpenAI’s ambitious plans for global AI infrastructure projects — like its series of massive Stargate AI data centers — will require tens of billions of dollars funded by debt, but you won’t find much of that on OpenAI’s balance sheet.

According to a new analysis by the Financial Times, OpenAI has somehow convinced its many partners to shoulder at least $100 billion in debt on its behalf, as well as the risks that come with it.

Partners Oracle, SoftBank, CoreWeave, Crusoe, and Blue Owl Capital are all taking on debt in the form of bonds, loans, and credit deals to meet their obligations with OpenAI for infrastructure and computing resources.

Having close ties with OpenAI has been an anchor for many publicly traded companies in recent weeks. The company’s cash burn and the rise of Gemini 3 have seemingly darkened its outlook and fostered guilt by association for many of its close partners and investors. Most notably, Oracle’s aggressive capital expenditure plans to support demand from OpenAI have sparked a sell-off in its stock while widening its credit default swap spreads.

A senior OpenAI executive told the FT: “That’s been kind of the strategy. How does [OpenAI] leverage other people’s balance sheets?”

Partners Oracle, SoftBank, CoreWeave, Crusoe, and Blue Owl Capital are all taking on debt in the form of bonds, loans, and credit deals to meet their obligations with OpenAI for infrastructure and computing resources.

Having close ties with OpenAI has been an anchor for many publicly traded companies in recent weeks. The company’s cash burn and the rise of Gemini 3 have seemingly darkened its outlook and fostered guilt by association for many of its close partners and investors. Most notably, Oracle’s aggressive capital expenditure plans to support demand from OpenAI have sparked a sell-off in its stock while widening its credit default swap spreads.

A senior OpenAI executive told the FT: “That’s been kind of the strategy. How does [OpenAI] leverage other people’s balance sheets?”

tech

Chinese tech giants are training their models offshore to sidestep US curbs on Nvidia’s chips

Nvidia can’t sell its best AI chips in the world’s second-largest economy. That’s an Nvidia problem. But it’s also a China problem — and it’s one that the region’s tech giants have resorted to solving by training their AI models overseas, according to a new report from the Financial Times.

Citing two people with direct knowledge of the matter, the FT reported that “Alibaba and ByteDance are among the tech groups training their latest large language models in data centers across south-east Asia.” Clusters of data centers have particularly boomed in Singapore and Malaysia, with many of the sites kitted out with Nvidia’s latest architecture.

One exception, per the FT, is DeepSeek, which continues to be trained domestically, having reportedly built up a stockpile of Nvidia chips before the US export ban came into effect.

Last week, Nvidia spiked on the news that the Trump administration was reportedly considering letting the tech giant sell its best Hopper chips — the generation of chips that preceded Blackwell — to China.

Citing two people with direct knowledge of the matter, the FT reported that “Alibaba and ByteDance are among the tech groups training their latest large language models in data centers across south-east Asia.” Clusters of data centers have particularly boomed in Singapore and Malaysia, with many of the sites kitted out with Nvidia’s latest architecture.

One exception, per the FT, is DeepSeek, which continues to be trained domestically, having reportedly built up a stockpile of Nvidia chips before the US export ban came into effect.

Last week, Nvidia spiked on the news that the Trump administration was reportedly considering letting the tech giant sell its best Hopper chips — the generation of chips that preceded Blackwell — to China.

tech
Millie Giles

Alibaba unveils its first AI glasses, taking on Meta directly in the wearables race

Retail and tech giant Alibaba launched its first consumer-ready, AI-powered smart glasses on Thursday, marking its entrance into the growing wearables market.

Announced back in July, the Quark AI glasses just went on sale in the Chinese retailer’s home market, with two versions currently available: the S1, starting at 3,799 Chinese yuan (~$536), and the G1, at 1,899 yuan (~$268) — a considerably lower price than Meta’s $799 Ray-Ban Display glasses, released in September.

tech
Jon Keegan

Musk: Tesla’s Austin Robotaxi fleet to “roughly double” next month, but falls well short of earlier goals

Yesterday, Elon Musk jumped onto a frustrated user’s post on X, who was complaining that they were unable to book a Robotaxi ride in Austin. Musk aimed to reassure the would-be customer that the company was expanding service in the city:

“The Tesla Robotaxi fleet in Austin should roughly double next month,” Musk wrote.

While that sounds impressive, there are reports that Austin has only 29 vehicles in service.

But last month, Musk said the Robotaxi goal was to have “probably 500 or more in the greater Austin area” by the end of the year.

Meanwhile, Google’s Waymo has more than 100 autonomous taxis running in Austin, and 1,000 more in the San Francisco Bay Area.

“The Tesla Robotaxi fleet in Austin should roughly double next month,” Musk wrote.

While that sounds impressive, there are reports that Austin has only 29 vehicles in service.

But last month, Musk said the Robotaxi goal was to have “probably 500 or more in the greater Austin area” by the end of the year.

Meanwhile, Google’s Waymo has more than 100 autonomous taxis running in Austin, and 1,000 more in the San Francisco Bay Area.

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