Google Has So Many New Smart Glasses Coming Soon. I Wore Them All


I found myself facing a wall, talking to a smiling molecule that emerged from a vase. I had pinched my fingers over the very real vase, and now a very unreal molecule floated in front of me, googly eyes blinking, as it told me about its properties in ceramic material. This whole chat, AI-generated via Gemini, emerged as a hovering 3D graphic on glasses I was wearing. They were plugged into a phone-sized device running an app that was apparently coded on the fly in just days.

This advanced AR glasses setup, known as Project Aura, is just one of three Google glasses products coming this year. And there’s more — also on deck are wireless AI glasses made with Samsung, Gentle Monster and Warby Parker, slated for the fall, ready to compete with Meta’s Ray-Ban and Oakley smart glasses. I spent time with all of them, and even a prototype dual-display set of wireless glasses, at Google’s Mountain View campus. Back in December, I’d done a demo as well, but my latest deep dive showed me more, and better, things that all of these glasses can do. I was wowed.

Will Google help make smart glasses feel more everyday and useful? Or solve how offputting and potentially threatening their cameras and AI tech make some people feel? My latest set of demos at Google’s campus, part of Google’s AI-centric I/O developer conference, convinced me that they could be the best smart glasses out there. They could even help redefine what smart glasses can be. And they’re the first glasses I’ve seen that really feel ready to work with the apps and services we have on phones already. 

In 2026 we’ve seen a flood of smart glasses, a category of product that most people don’t wear and many are increasingly wary of. But Google’s Gemini-powered glasses could change what’s possible more than nearly any other glasses I’ve seen so far. The reason, clearly, is the AI and software under the hood — and what Google’s doing to lay groundwork for where Apple is reportedly heading too. That’s even clearer to me now after meeting again with Google’s head of XR, Shahram Izadi, and Samsung’s Jay Kim, head of that company’s MX customer experience division.

Google and Samsung smart glasses CNET's Scott Stein is wearing with custom prescription inserts

These are prototype glasses, with custom prescription inserts added for the demo, but these Samsung/Google glasses are lightweight and still have a display in one lens.

Scott Stein/CNET

Google’s glasses look ready to one-up Meta on AI smarts

I test-drove multiple versions of the smart glasses that Google and Samsung are releasing later this year. What I saw were still prototype models, but their more watch- and phone-connected features have more AI skills than Meta’s latest glasses. But they still don’t have prices yet, or even an official name.

Called “Intelligent Eyewear” for now, the glasses will be given product names later on by Warby Parker, Gentle Monster and Samsung when they’re released this fall, according to Izadi, who spoke with me at Google’s headquarters.

Watch this: The Future of Smart Glasses Is Coming This Fall

The glasses will all have cameras, microphones and embedded speakers like Meta’s line of smart glasses, and also will come in display-free and single-display versions. The always-on Gemini Live mode on these glasses could follow me around a room and describe plants or tell me how to play a board game. I’ve seen these tricks before. But Google’s advantage over Meta is how these AI tools relay back to apps already on phones, like Google Keep and Google Calendar. Or appear on watches. 

A phone showing a transcript of AI experiences had on Google and Samsung glasses, saved via Google Keep

My room experiences using Gemini Live on the glasses, saved as a record in Google Keep on a connected phone.

Scott Stein/CNET

A translation demo I tried showed how automatic language recognition could identify French or Portuguese, spoken by people in the room with me. I saw on-screen captions in the display-enabled glasses, and audio translation relayed at a slight delay, tone-matched to speaking cadence and perceived speaker gender.

The glasses can also show AI-generated widgets that can work like mini apps to show quick-glance information like weather, scrollable in a stack.

Warby Parker smart glasses with round frames, made with Google and Samsung

One of the Warby Parker glasses designs, which I didn’t get to try on, is coming this fall.

Google

Lightweight, in multiple designs

These glasses feel lighter-weight than Meta’s Ray-Ban Displays: At 49 grams, they felt close to the heft of display-free Meta Ray-Bans. The two Warby Parker and Gentle Monster designs weren’t something I got to try yet, but the prototype pair I wore is meant to represent a similar size and comfort, and they felt good despite having a single display inside one lens. They’re definitely smaller than the equivalent, larger pair of display-enabled Ray-Ban Displays.

An oval framed set of Gentle Monster, Samsung and Google smart sunglasses

The Gentle Monster frames have a distinctive look.

Google

The Warby Parker and Gentle Monster designs look fun, though, at least in photos. Warby’s rounded edges look good, with a frame that still seems somewhat thick. The oval-shaped Gentle Monster frames are definitely going for a different look, and I’m curious how much more other design types flex. There will be more, Izadi and Kim confirmed.

The prototypes I wore again, meanwhile, look more like Ray-Bans: generic and black-framed but functional.

Seeing photos displayed on a phone and a Google Pixel watch that were taken on Samsung and Google smart glasses

Photos taken on the Samsung/Google glasses relayed instantly to the connected phone and smartwatch. WearOS watches could act as glasses viewfinders.

Scott Stein/CNET

Connecting with watches as well as phones

Photos I took on the glasses popped up moments later on a Pixel Watch worn by one of Google’s team, showing off how a WearOS smartwatch could be a connected camera viewfinder. I tried taking a photo of the room with the glasses and adding Nano Banana effects: a David Lynch vibe and 1930s cartoon characters eating sushi. The image was updated in under a minute on the glasses, and it also popped up on the watch and the phone.

A photo of cartoon characters eating sushi in a Twin Peaks-like room, generated with Nano Banana via glasses and shown on a phone

Nano Banana’s Lynch-with-cartoon-with-sushi AI reinvention of a photo taken with the glasses. It showed up in-glasses, and on the phone shortly after.

Scott Stein/CNET

The glasses have a touchpad in one arm, which works with angle and double taps and swipes (single tap-hold for Gemini, double finger swipe for volume), and a camera shutter button on the top of one arm. They could also be controlled to some degree with a watch, although I didn’t get to try that. Watch gestures would help, especially since Google doesn’t have anything like Meta’s neural band yet.

Dual displays are coming, too

Google’s also working on dual-display glasses, which might not come until at least 2027. The prototypes I demoed again were notably heavier, and while I also tried this demo last year, this time the quality looked better for playing a Spider-Man clip converted to 3D by YouTube, and playing back 3D models that I could move with tilts and turns of my head, almost like augmented reality. Scrolling widgets moved by in 3D too.

The dual-display model is still being finessed, and Izadi and Kim acknowledged that there’s no release timeframe yet. It’s next on deck: maybe next year or the year after. But Izadi expects dual, single and no-display glasses to be on sale together down the road, likely at a range of prices.

AI privacy measures? Unknown

Samsung’s and Google’s teams admit that the world of wearables is a challenge to figure out and that public apprehension about face tech and camera-enabled glasses is something that still needs to be figured out. Meta’s already faced multiple privacy problems and has muddy lines on its AI privacy policies. Google plans to go into more details on data privacy on its glasses at a fall event, says Izadi. 

“We’ve been doing a lot of thinking from the very beginning with these kinds of devices. Given the privacy aspects, you have to design with privacy in mind from the very, very beginning and leverage some of the standards that have been set in the AI world,” says Izadi, who adds that a bystander LED indicator, fraud detection for AI and other features are part of the glasses. 

But expect the privacy rules for Gemini to work much like Gemini already does on phones, although glasses will have more situations where they could run in a live, always-on mode. Izadi says some of the challenge is “user education” but that when it comes to privacy “we do need to raise the bar, for sure.”

“I think market expectation is higher on us,” Samsung’s Kim adds. “We’re studying a lot. We’ve been thinking about it for a long time, from the beginning.”

A pair of black smart glasses prototypes made by Google and Samsung

The prototype glasses I tried run the same experiences as the upcoming Warby Parker and Gentle Monster models.

Scott Stein/CNET

Prescriptions shouldn’t be a problem

I did my demos of all these glasses using custom inserts matched to my heavily myopic prescription, but Google and Samsung are confident that their range of all-day smart glasses with Warby Parker and Gentle Monster will support prescription ranges including my own, even in display-enabled models. 

“We are really going deep there,” says Izadi. “This is where some of the partnerships with the eyewear companies have been really important.” Izadi points to the display-enabled Even Realities G2 glasses that I’ve worn using my prescription as “existence proof” that they can be made.

I hope so, because I plan to test out Google’s glasses as my everyday pair. Unlike Meta’s prescription support-limited Ray-Ban Displays, it looks like that could actually happen.

Google Health? Possible at some point

Google’s new Fitbit Air and Gemini-powered health coach, which I’m test driving now, already had me thinking about how fitness and health could be a part of the next wave of glasses. Izadi acknowledges that the glasses could access data like this and interconnect, just not right away.

Kim points to the triangulation between rings and watches and glasses and phone. 

“Everything will come together in a way to support each other,” he says, but also adds “You don’t want to overwhelm the consumer, it has to be very natural and fit into your body.” 

At its Unpacked event in July, Samsung is going to get into more glasses details and reveal more Gentle Monster and Warby Parker designs, so we may learn more on the fitness front there. But it’s clear that Samsung and Google are going to make it happen. Meta’s fitness focus with its glasses and Garmin, and the whole outdoors lifestyle pitch of glasses, makes it an obvious fit.

CNET's Scott Stein wearing Xreal Project Aura smart glasses

Xreal’s Project Aura supports hand tracking, and it works just like it does on VR headsets to pinch, scroll and control apps.

Scott Stein/CNET

Project Aura: A pocket-size Gemini computer plus glasses

Now let’s get back to that talking molecule demo that stunned me, which came courtesy of Google and Xreal’s Project Aura, one of the most fascinating products I’ve seen in a while. It’s not the first time I’ve tried it, but as Aura readies to launch later this year, this new batch of demos reminded me what amazed me back in December. In many ways, this glasses-plus-processor-puck combo delivers what a VR headset can do, and possibly more, in a little package that also works with your phone, laptop or Steam Deck.

It doesn’t work with your phone directly. Instead, it has a processor puck that runs Android XR and Android apps, relaying this to glasses. It’s very much a living model of what Meta’s Project Orion prototype AR glasses were going for two years ago when I tried them, but with hardware available now, and with hand tracking via cameras instead of using a gestural neural band like Meta has. 

Anyone who’s ever tried a pair of display-enabled tethered glasses, like those that Xreal or Viture or TCL sell, might know how good these “headphones for your eyes” can look. Project Aura is better, extending the field of view of its microOLED displays to 70 degrees, effectively enough to fill the glasses and not feel like you’re missing too much.

Xreal Project Aura glasses and processor puck inside a travel case

Project Aura comes with its own travel case. The processor puck it uses is about the size of a phone.

Scott Stein/CNET

Aura, as I said last year, can do all the things Samsung’s 6-month-old Galaxy XR mixed reality headset can do — but in a smaller package. The phone-sized processor puck has a touchpad surface and fingerprint ID button, and runs all the Android apps and VR/AR-enabled experiences that Galaxy XR does. The glasses have cameras and depth sensors that can enable hand tracking, pinching and scrolling apps and playing VR games. 

But this little package can also run a lot of AI-intensive things. Gemini Live can run in conjunction with any app, but you can also plug in other devices via USB-C/DisplayPort. Connecting a Steam Deck meant I could play Hollow Knight on the glasses on the big screen, but also open a YouTube window and drag it next to the game in any position, watching run-throughs. It can support five apps open at once, or have Gemini Live watch my Steam Deck gameplay and give playthrough advice. I could connect an iPhone or a MacBook or any other device and layer it with Gemini Live analysis, too.

Xreal Project Aura glasses with prescription inserts added

The Xreal Project Aura glasses with my prescription inserts. They look and function a lot like Xreal’s other glasses, with a whole extra dose of Gemini and Android XR and hand tracking.

Scott Stein/CNET

Aura as a road to AI coding for XR?

What really wowed me was seeing an app vibe-coded with Google tools that ran right in Aura via WebXR, demonstrating how Aura could potentially be used to AI code and preview 3D experiences that I’ve never seen done before. One app I tried, a 3D drawing experience called 3D Paint — I used my fingers to sketch in the air like the old VR app Tilt Brush — was was vibe-coded in Chrome on Project Aura using Gemini Canvas. Apparently it took minutes to do.

Two other apps — a Gemini music experience called Gemini Melody where I sketched lines in the air and had Gemini turn them into musical tones and interactive music tracks, and that talking molecule experience, called Gemini Molecule — were standalone XR apps made in a week, coded using Google Antigravity and Gemini APIs. They’re all demos of what sorts of AI-powered XR apps could be made and tested with Project Aura. If this is as easy to do as Google makes it seem, Project Aura could transform the VR/AR landscape in wild ways. It makes me want to try to vibe code.

Scott Stein wearing Xreal Project Aura and Samsung Google smart glasses on his head together, holding a processor puck

Samsung and Google glasses on my eyes, Xreal Project Aura perched on my head. When will these concepts converge?

Scott Stein/CNET

Aura shows where glasses and phones could head next

Aura will go on sale as an actual product later this year, but at an unknown price. I expect it might be a more expensive product than I’d like, but it’s also truly a shrunken-down set of some of the same pieces that Vision Pro and Galaxy XR were aiming for, in a form I’m more likely to use on the go. It’s part dev kit, part portable VR replacement and preview of where AR glasses that connect with our phones could eventually evolve.

Imagine the phone-sized processing puck that Aura uses being the phone in our pockets instead. Current phones can’t do it, but Aura feels like a preview of what’s possible. 

“No plans yet, but it’s an obvious next step, I would say a logical next step,” Izadi says to me of taking the Aura experience into glasses that work with our phones directly. But that might take some time. 

Kim adds, “I think the phone will probably stay as a sort of central hub for many years to come,” noting that phones and watches are destined to stay connected to phones down the road. 

I agree. But it’s clear that the capabilities of those connections are just getting started. Project Aura is going to arrive sometime later this year alongside the wireless Warby Parker and Gentle Monster glasses, but it’s a more advanced preview of a full computer with Gemini… and, really, the AR glasses I’ve been waiting for. 





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AWS Edge Locations: A Brief Introduction 

AWS Edge locations are third-party data centers made to ensure minimal latency while delivering services. It is essentially a small setup, located very close to the user using the AWS service to make the responses quick.

When you look at the situation more closely, what’s happening is that when a user is sending a request, instead of receiving a response from the primary server, it routes to the nearest edge location and provides the response from there, making it quick.

For instance, if your data is housed in an S3 bucket in Australia, some of your traffic comes from Canada. In this example, AWS will start caching your data in one of the edge locations in Canada, so when a request arrives from there, it’ll be delivered from the cache edge location in Canada, avoiding the need for the request to come to Australia. As a result, it will lower the latency, resulting in a better excellent user experience.

The Edge location is popular for providing a speedier response to user requests, aiming to minimize access time and delivery delay. They are located in almost all of the world’s major cities and are utilized by CloudFront (CDN) for fast deliveries to end-users to minimize latency.

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Who Uses AWS Edge Locations?

A set of services that use edge locations and are take latency into consideration are:-

CloudFront: It makes use of edge locations to cache versions of the data it provides, allowing the content to be delivered to users more quickly.
Route 53: It delivers DNS responses from edge locations, allowing DNS queries to be resolved more quickly.
AWS Shield and Web Application Firewall: It screens traffic in edge locations to prevent undesired traffic.

Benefits of AWS Edge Locations

Quick Response: With it being located very close to the place the request comes from, the Edge location is able to deliver a fast response as static content is delivered.

Minimal Access Time: Since the edge locations can offer quick response, this directly helps reduce the access time for the user.

Low Latency Rate: Edge location is physically closer to the user than the primary server. Thus, it has a lower latency rate.

Broader Reach: Edge locations, which are often housed in colocation facilities, increase the scope of the AWS network. They have ample bandwidth and connections to other networks and service providers, and this provides AWS with a wide range of connectivity, even domestic ISPs.

Edge Locations In India

Multiple CloudFront edge locations can be found in India. There are approximately 17 such locations– 4 each in Hyderabad and  New Delhi, 3 each in Bangalore and Mumbai, 2 in Chennai, and 1 in Kolkata. Globally, there are approximately 44 AWS edge locations.

Edge Locations Vs. Availability Zones Vs. AWS Regions

AWS Regions

What will happen in the event of unanticipated situations, such as a natural calamity? This problem gets solved by grouping the data centers into Regions, and these Regions are established worldwide to be proximate to business traffic demand.

To begin, AWS offers a variety of data centers across all Regions that provide various computation, storage, and other valuable resources for hosting your apps. Second, a high-speed fiber network connects all of the Regions. AWS effectively manages this network. Finally, all Regions are separated from one another. It ensures that no data can enter or leave your area in a specific Region. The only exception is if you explicitly authorize the movement of such data.

Availability Zones

Availability Zone (AZ) comprises one or more separate data centers in a particular region that provide redundant power supply, network, and connection. These centers are housed in different buildings. Users can operate production apps and databases in Availability Zones that are quickly available, have fault tolerance and are more scalable than single data centers. There are currently 84 Availability Zones spread over 26 geographic regions around the world.

Despite the fact that each Availability Zone is autonomous, they are linked by low-latency connections within a specific Region. Users have enough freedom with AWS to place instances and store data across many geographical regions and multiple Availability Zones within each Region.

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Edge Locations

What if the users are located in various parts of the globe or in locations that are not in your AWS Regions? Luckily, your organization will not need to start building a new data center. As already explained, this problem gets solved with the help of AWS Edge Locations.

Amazon CloudFront is an AWS service that lets you provide information, video, apps, and APIs to clients across the globe. Low latency and high transmission rates are provided via Amazon CloudFront. But the most crucial aspect is that this service makes use of so-called Edge locations to speed up the connection with customers irrespective of their location.

An organization can send content from Regions to a specific set of Edge locations around the world because Edge locations and Regions are independent infrastructure components. This enables both communication and content delivery to be accelerated. At the same time, Amazon Route 53, a well-known domain name service (DNS) on AWS, is running in Edge locations. This ensures reduced latency by directing clients to the proper web pages.

What is AWS CloudFront?

AWS Cloudfront is an excellent content delivery network (CDN) solution that is extremely fast and capable of delivering data to all users across the world with minimal delay.

The crucial aspect here is that your data is highly secure, thanks to a variety of solid security measures and encryption algorithms, and it’s well connected with Amazon Route 53, AWS Shield, and AWS Web Application Firewall, among other things, to defend it from various forms of attacks.

Why Choose Amazon CloudFront?

Let us find out why people prefer AWS CloudFront and why you should also choose the same. We have compiled its many benefits below:

Quick Content Delivery

The Amazon Cloudfront network has more than 200 points of contact, allowing you to deliver content to AWS consumers and users quickly and with minimal latency. Most significantly, it is incredibly accessible to AWS users and customers.

Pocket Friendly

Amazon CloudFront offers a pay-as-you-go pricing structure with a handful of customizable pricing plans to help you save money.

High Security

Amazon CloudFront is among the most secure content delivery networks available, and it can help you secure both your application and your network.

Compatibility with AWS Services

Amazon CloudFront is compatible with other AWS services such as Amazon EC2, Amazon S3, and Elastic Load Balancing.

It assists developers with AWS Cloud Development Kit, various APIs, and log monitoring, and it can simply interface with Amazon Cloudwatch, among other things, making the developer’s job easier.

Will using the edge result in lower-latency access to EC2?

Using the edge locations can potentially result in lower-latency access to EC2 instances. An edge location is a site that CloudFront uses to cache copies of your content, enabling faster delivery to users at any location. While it may not directly improve latency to EC2 instances, utilizing edge locations can help improve latency to certain AWS services.

To fully resolve any latency issues, it would be beneficial if AWS were to establish a new region in Africa. AWS regions consist of multiple availability zones, each functioning as a separate datacenter and providing low-latency connectivity within that region. By having a region in Africa, users in the continent would experience improved latency when accessing AWS resources.

It is important to note that edge locations primarily serve requests for CloudFront, which is a content delivery network (CDN). CDN technologies aim to reduce latency by caching static content closer to end users. In combination with AWS CloudFront, edge locations help optimize content delivery and provide low-latency connectivity.

While edge locations play a crucial role in delivering content efficiently through CloudFront, AWS Route 53 is responsible for DNS services. Requests made to CloudFront or Route 53 are automatically routed to the nearest edge location, ensuring low latency regardless of the user’s location.

Is the edge just a way to speed up services’ frontends or the services themselves?

The edge serves as a means to enhance the performance of both service frontends and the services themselves. It allows for improved access to various AWS services, which includes an extensive range of options. While it can potentially enhance latency to certain services, it does not solely focus on speeding up frontends. To truly address latency issues, the deployment of a new AWS region in Africa would be most beneficial.

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What does “access services located at AWS” mean in this context?

In this context, the phrase “access services located at AWS” refers to the ability to utilize and make use of the various services available on the Amazon Web Services (AWS) platform. AWS offers a wide range of services for computing, storage, databases, networking, security, analytics, machine learning, and more. By accessing these services, users can leverage the capabilities and functionalities provided by AWS to meet their specific requirements.

It is important to note that there are numerous AWS services available, with hundreds of options to choose from. These services cover various aspects of cloud computing and cater to different business needs. Examples of AWS services include Amazon S3 for scalable storage, Amazon EC2 for virtual servers, Amazon RDS for managed databases, Amazon Redshift for data warehousing, AWS Lambda for serverless computing, and many others.

While accessing different AWS services can offer potential benefits, such as improved efficiency and flexibility, it may not necessarily address latency issues directly. Latency refers to the time delay experienced when transmitting data over a network, and accessing AWS services on their own may not have a significant impact on improving latency.

To address latency issues more effectively, an ideal solution would be the deployment of a new AWS region in Africa. A region in closer proximity to the users in Africa would minimize the distance data needs to travel, reducing latency and improving the overall performance of AWS services for users in that region.

Can S3 objects be cached via Edge locations?

Yes, S3 objects can be cached via Edge locations using CloudFront. Although S3 itself does not have the direct capability to cache objects, CloudFront, which is a content delivery network (CDN) service provided by Amazon Web Services (AWS), can be used to cache and distribute S3 objects to Edge locations.

CloudFront acts as an intermediary between S3 and the end users accessing the objects. When a user requests an S3 object, CloudFront checks if it already has a cached copy of that object in one of its Edge locations. If the object is found in the cache, CloudFront delivers it directly from the Edge location, resulting in reduced latency and improved performance. If the object is not in the cache, CloudFront retrieves it from the S3 bucket, stores it in its cache, and then delivers it to the user.

By caching S3 objects via CloudFront’s Edge locations, the objects become readily available at locations closer to the end users, reducing the need for requests to be sent back to the S3 origin server. This not only improves the overall performance and responsiveness of accessing S3 objects but also helps mitigate network congestion and latency.

Can Route 53 automatically route to Edge locations based on latency?

Route 53 does not have the capability to automatically route to edge locations based on latency. While Route 53 does offer various routing policies that can be configured based on different factors such as geographic location, latency, and weighted distribution, it does not specifically route based on latency to edge locations. It’s important to note that low latency does not necessarily imply the proximity of the nearest edge location. If you would like to understand more about how Route 53 works and the different types of records it supports, I can provide you with more information on that as well.

What services do Edge locations serve requests for?

Edge locations serve requests for CloudFront and Route 53. CloudFront is a globally distributed content delivery network designed to deliver content with low latency, high transfer speeds, and high availability. It acts as a cache, storing frequently accessed content and serving it from the closest edge location to the end user, regardless of their geographical location. Route 53 is a highly scalable and reliable DNS (Domain Name System) service that routes end user requests to the appropriate resources, such as websites or applications, based on the domain name. By leveraging edge locations, both CloudFront and Route 53 ensure that requests are automatically routed to the nearest edge location, resulting in reduced latency and providing a high-performance experience to end users, regardless of their location.

In A Nutshell

These AWS edge locations provide consumers with stable network connectivity, reduced latency, and maximum throughput. Are you wondering if you have ever made use of AWS edge location? You probably have if you have ever used AWS or are an AWS customer. Services like CloudFront and Route 53 already provide edge location benefits, which means you have directly or indirectly used AWS edge locations. So, next time you see a quick response, you know who to thank for it.

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