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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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Apple to pay Google $1 billion a year for access to AI model for Siri

Apple plans to pay Google about $1 billion a year to use the search giant’s AI model for Siri, Bloomberg reports. Google’s model — at 1.2 trillion parameters — is way bigger than Apple’s current models.

The deal aims to help the iPhone maker improve its lagging AI efforts, powering a new Siri slated to come out this spring.

Apple had previously been considering using OpenAI’s ChatGPT and Anthropic’s Claude, but decided in the end to go with Google as it works toward improving its own internal models. Google, which makes a much less widely sold phone, the Pixel, has succeeded in bringing consumer AI to smartphone users where Apple has failed.

Google’s antitrust ruling in September helped safeguard the two companies’ partnerships — including the more than $20 billion Google pays Apple each year to be the default search on its devices — as long as they aren’t exclusive.

Apple had previously been considering using OpenAI’s ChatGPT and Anthropic’s Claude, but decided in the end to go with Google as it works toward improving its own internal models. Google, which makes a much less widely sold phone, the Pixel, has succeeded in bringing consumer AI to smartphone users where Apple has failed.

Google’s antitrust ruling in September helped safeguard the two companies’ partnerships — including the more than $20 billion Google pays Apple each year to be the default search on its devices — as long as they aren’t exclusive.

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Netflix creates new made-up metric for advertisers

It’s not quite WeWork’s community-adjusted EBITDA but it’s also not quite a real number: Netflix announced today that it has 190 million “monthly active viewers” for its lower-cost advertising tiers. The company came up with MAVs by measuring the number of subscribers who’ve watched “at least 1 minute of ads on Netflix per month” and multiplies that by what its research assumes is the number of people in that household.

The metric builds on Netflix’s previous attempt at measuring ad viewership, monthly active users, which is the number of profiles that have watched ads (94 million as of May). The MAV measurement, of course, is a lot bigger and bigger numbers are more attractive to advertisers, who are spending more and more on streaming platforms.

“After speaking to our partners, we know that what they want most is an accurate, clear, and transparent representation of who their ads are reaching,” Netflix President of Advertising Amy Reinhard explained in a press release. “Our move to viewers means we can give a more comprehensive count of how many people are actually on the couch, enjoying our can’t-miss series, films, games and live events with friends and family.”

Netflix last reported its long-followed and more easily understood paid membership numbers at the beginning of the year, when it crossed 300 million.

The metric builds on Netflix’s previous attempt at measuring ad viewership, monthly active users, which is the number of profiles that have watched ads (94 million as of May). The MAV measurement, of course, is a lot bigger and bigger numbers are more attractive to advertisers, who are spending more and more on streaming platforms.

“After speaking to our partners, we know that what they want most is an accurate, clear, and transparent representation of who their ads are reaching,” Netflix President of Advertising Amy Reinhard explained in a press release. “Our move to viewers means we can give a more comprehensive count of how many people are actually on the couch, enjoying our can’t-miss series, films, games and live events with friends and family.”

Netflix last reported its long-followed and more easily understood paid membership numbers at the beginning of the year, when it crossed 300 million.

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Ahead of Musk’s pay package vote, Tesla’s board says they can’t make him work there full time

Ahead of Tesla’s CEO compensation vote at its annual shareholder meeting tomorrow, The Wall Street Journal did a deep dive into how Elon Musk, who stands to gain $1 trillion if he stays at Tesla and hits a number of milestones, spends his time.

Like a similar piece from The New York Times in September, this one has a lot of fun details. Read it all, but here are some to tide you over:

  • Musk spent so much time at xAI this summer that he held meetings there with Tesla employees.

  • He personally oversaw the design of a sexy chatbot named Ani, who sports pigtails and skimpy clothes and for whom “employees were compelled to turn over their biometric data” to train.

  • The chatbot, which users can ask to “change into lingerie or fantasize about a romantic encounter with them,” has helped boost user numbers, which are still way lower than ChatGPT’s.

  • Executives and board members have told top investors in the past few weeks that they can’t make Musk work at Tesla full time. Board Chair Robyn Denholm explained that in his free time, Musk “likes to create companies, and they’re not necessarily Tesla companies.”

Like a similar piece from The New York Times in September, this one has a lot of fun details. Read it all, but here are some to tide you over:

  • Musk spent so much time at xAI this summer that he held meetings there with Tesla employees.

  • He personally oversaw the design of a sexy chatbot named Ani, who sports pigtails and skimpy clothes and for whom “employees were compelled to turn over their biometric data” to train.

  • The chatbot, which users can ask to “change into lingerie or fantasize about a romantic encounter with them,” has helped boost user numbers, which are still way lower than ChatGPT’s.

  • Executives and board members have told top investors in the past few weeks that they can’t make Musk work at Tesla full time. Board Chair Robyn Denholm explained that in his free time, Musk “likes to create companies, and they’re not necessarily Tesla companies.”

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Motion Picture Association to Meta: Stop saying Instagram teen content is “PG-13”

In October, Meta announced that its updated Instagram Teen Accounts would by default limit content to the “PG-13” rating.

The Motion Picture Association, which created the film rating standard, was not happy about Meta’s use of the rating, and sent the company a cease and desist letter, according to a report from The Wall Street Journal.

The letter from MPA’s law firm reportedly said the organization worked for decades to earn the public’s trust in the rating system, and it does not want Meta’s AI-powered content moderation failures to blow back on its work:

“Any dissatisfaction with Meta’s automated classification will inevitably cause the public to question the integrity of the MPA’s rating system.”

Meta told the WSJ that it never claimed or implied the content on Instagram Teen Accounts would be certified by the MPA.

The letter from MPA’s law firm reportedly said the organization worked for decades to earn the public’s trust in the rating system, and it does not want Meta’s AI-powered content moderation failures to blow back on its work:

“Any dissatisfaction with Meta’s automated classification will inevitably cause the public to question the integrity of the MPA’s rating system.”

Meta told the WSJ that it never claimed or implied the content on Instagram Teen Accounts would be certified by the MPA.

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Dan Ives expects “overwhelming shareholder approval” of Tesla CEO pay package

Wedbush Securities analyst Dan Ives, like prediction markets, thinks Tesla CEO Elon Musk’s $1 trillion pay package will receive “overwhelming shareholder approval” at the company’s annual shareholder meeting Thursday afternoon. The Tesla bull, like the Tesla board, has maintained that approval of the performance-based pay package is integral to keeping Musk at the helm of the company, which in turn is integral to the success of the company. Ives is also confident that investors will back the proposal allowing Tesla to invest in another of Musk’s companies, xAI.

“We expect shareholders to show overwhelming support tomorrow for Musk and the xAI stake further turning Tesla into an AI juggernaut with the autonomous and robotics future on the horizon,” Ives wrote in a note this morning.

The compensation package has received pushback, including from Tesla’s sixth-biggest institutional investor, Norway’s Norges Bank Investment Management, and from proxy adviser Institutional Shareholder Services.

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