Why Big Tech can't quit smart glasses
Episode
43 min
Read time
2 min
Topics
Health & Wellness, Artificial Intelligence, Product & Tech Trends
AI-Generated Summary
Key Takeaways
- ✓Audio/Headphone Mode: Rated five out of five, open-ear speaker mode is the single most-used smart glasses feature because it preserves situational awareness while listening to podcasts or music. Unlike noise-canceling earbuds, glasses allow users to hear ambient sounds — conversations, traffic, household members — making them a practical daily-wear alternative to traditional earbuds.
- ✓Camera Use Cases: Rated four out of five, the hands-free camera finds genuine utility in three specific contexts: candid home video of children or pets, POV content creation for platforms like TikTok, and accessibility tools like Be My Eyes for low-vision users. Privacy concerns will push some buyers toward camera-free models, splitting the market.
- ✓Notifications Need AI Filtering: Rated four out of five, notification delivery becomes a killer app only when AI can intelligently triage urgency. Current glasses push every alert indiscriminately. The actual product need is context-aware filtering — suppressing notifications during meetings and surfacing only time-sensitive ones — a problem no manufacturer has solved as of mid-2026.
- ✓Fitness/Sport-Specific Glasses: Rated three out of five, sport-specific smart glasses like the Meta Oakley Vanguards succeed because buyers accept purpose-built gear without expecting all-day wear. Runners and cyclists benefit from heads-up pace, heart rate, and route data. This single-use-case model sets a lower adoption bar than asking consumers to wear prescription smart glasses all day.
- ✓AI Features Underperform Outside Demos: Rated two out of five, ambient AI interactions consistently fail in real-world conditions — object identification misses obvious logos, recipe suggestions offer trivial answers, and live translation breaks down in noisy multilingual environments. AI features perform well only in tightly controlled demos, not in the unpredictable conditions of everyday life.
What It Covers
The Vergecast's David Pierce and Victoria Song evaluate 11 potential smart glasses features — from navigation and camera to AI translation and facial recognition — scoring each one to five to determine why major tech companies remain committed to smart glasses despite persistent technical, privacy, and consumer adoption challenges.
Key Questions Answered
- •Audio/Headphone Mode: Rated five out of five, open-ear speaker mode is the single most-used smart glasses feature because it preserves situational awareness while listening to podcasts or music. Unlike noise-canceling earbuds, glasses allow users to hear ambient sounds — conversations, traffic, household members — making them a practical daily-wear alternative to traditional earbuds.
- •Camera Use Cases: Rated four out of five, the hands-free camera finds genuine utility in three specific contexts: candid home video of children or pets, POV content creation for platforms like TikTok, and accessibility tools like Be My Eyes for low-vision users. Privacy concerns will push some buyers toward camera-free models, splitting the market.
- •Notifications Need AI Filtering: Rated four out of five, notification delivery becomes a killer app only when AI can intelligently triage urgency. Current glasses push every alert indiscriminately. The actual product need is context-aware filtering — suppressing notifications during meetings and surfacing only time-sensitive ones — a problem no manufacturer has solved as of mid-2026.
- •Fitness/Sport-Specific Glasses: Rated three out of five, sport-specific smart glasses like the Meta Oakley Vanguards succeed because buyers accept purpose-built gear without expecting all-day wear. Runners and cyclists benefit from heads-up pace, heart rate, and route data. This single-use-case model sets a lower adoption bar than asking consumers to wear prescription smart glasses all day.
- •AI Features Underperform Outside Demos: Rated two out of five, ambient AI interactions consistently fail in real-world conditions — object identification misses obvious logos, recipe suggestions offer trivial answers, and live translation breaks down in noisy multilingual environments. AI features perform well only in tightly controlled demos, not in the unpredictable conditions of everyday life.
Notable Moment
Victoria Song revealed that Meta's new lower-cost glasses — dropping the Ray-Ban brand partnership — launched the same week internal reporting exposed a company-wide employee monitoring program that logged every keystroke and mouse click as AI training data, accessible across the entire organization.
Episode Transcript
Hello and welcome to the VergeCast, the flagship podcast of nose pads. I'm your friend David Pierce. And today on the show, we're gonna talk about smart glasses. Specifically, why smart glasses are such a pervasive idea in the tech industry right now. We've talked a lot about them. We've been covering smart glasses since the days of Google Glass, and there are so many problems and challenges with smart glasses. There was the whole glass hole problem. There are huge technological problems with actually making this stuff real. There are supply chain issues. There are display things no one has invented yet. Smart glasses are going to be very hard to do correctly and even if they're done correctly, it's still very much in the air whether people want them and what they want them for. And yet, all of that aside, a huge portion of the tech industry, including most of the biggest hardware manufacturers, are absolutely convinced that smart glasses are the future. So The Verge's v song is gonna come on. She has used all the smart glasses. She has reviewed all the smart glasses, and she and I are gonna try to figure out why the tech industry can't quit smart glasses. It's gonna be great. But first, here's everything else happening on the verge today. This is Ninety Seconds on the Verge for Tuesday, 06/23/2026. Meta is turning off, at least for now, a program that it created to log everything employees do on their computers. And I mean everything, including mouse clicks and keystrokes, all to use as AI training data. Turns out, a lot of the data being collected was very private and made accessible across the entire company. Seems bad. More broadly, there's been a lot of reporting recently about a huge morale problem at Meta, where everything and everyone is being pivoted toward AI, whether they like it or not. Meanwhile, obviously, privacy and regulatory issues just abound at Meta. In a lot of ways, the Meta brand right now is just not great in general, which makes this next thing, frankly, very funny. Meta launched a new pair of smart glasses today, just called the Meta glasses. They're cheaper than the Ray Ban models, which might be the big reason for dropping the partnership with such an expensive brand, and they come in several new fits, including one made with Kylie Jenner. Meta also told The Verge's Victoria Song that the company is working on better privacy systems for the glasses and on making it harder to tamper with the smart glasses in order to record without people knowing. Of course, Meta is also reportedly working on a facial recognition system for those very same smart glasses. So, you know, big grain of salt on all of that. And finally, some very important gadget news. The HP 16 c, an iconic old school calculator that was once a big hit among nineteen eighties era programmers, is back. There's only …
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Books, tools, and gear mentioned in this episode
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Tools
“The hands-free camera finds genuine utility in three specific contexts: candid home video of children or pets, POV content creation for platforms like TikTok, and accessibility tools like Be My Eyes for low-vision users.”
Gear
by Meta
“Runners and cyclists benefit from heads-up pace, heart rate, and route data. This single-use-case model sets a lower adoption bar than asking consumers to wear prescription smart glasses all day. Sport-specific smart glasses like the Meta Oakley Vanguards succeed because buyers accept purpose-built gear without expecting all-day wear.”
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