Qualcomm bets 40 wearable designs can replace phones

Key Takeaways

• Qualcomm launched two new platforms targeting post-smartphone computing: Snapdragon Reality Elite for mixed-reality headsets and START for white-label AI glasses
• The new Reality Elite chip delivers 160% better NPU performance and can run 3-billion-parameter AI models at 45 tokens per second on-device
• CEO Cristiano Amon confirmed over 40 AI wearable designs in development, including jewelry, camera-equipped earbuds, pins, and watches

Qualcomm is making its clearest move yet to become the silicon backbone of whatever replaces the smartphone. On Tuesday, CEO Cristiano Amon revealed the company is working on more than 40 AI wearable devices with partners, spanning jewelry, camera-equipped earbuds, lapel pins, and watches. Two new products anchor the strategy: Snapdragon Reality Elite, a chip platform for mixed-reality headsets, and START, a turnkey toolkit that lets eyewear companies ship AI glasses without building the tech stack from scratch.

The announcements signal that Qualcomm sees the smartphone's dominance as finite. Amon told CNBC that companies hungry for real-world data to feed their AI agents will spawn a wave of hardware startups building novel form factors. That shift could squeeze Apple and Samsung, whose businesses depend on the phone remaining the center of personal computing.

What does Snapdragon Reality Elite actually improve?

Qualcomm's previous XR chips already powered headsets from Meta and others. The new Reality Elite platform pushes harder on AI. Compared to its predecessor, the chip delivers up to 60% better GPU performance, 30% better CPU performance, and 160% better NPU performance. That last number matters most: the neural processing unit handles on-device AI, and Qualcomm says Reality Elite can run a 3-billion-parameter language model at 45 tokens per second. For reference, that's fast enough for a voice assistant to respond without noticeable delay.

Display specs got a smaller bump. Reality Elite supports 4.4K per-eye resolution at 90 frames per second, up from 4.3K on the XR2+ Gen 2. The real gains are in tracking: Qualcomm claims better head and hand tracking plus improved see-through capabilities for augmented reality. These refinements target the motion sickness and eye strain that have made extended headset use uncomfortable for most people.

Qualcomm designed Reality Elite for two device types. Video-see-through (VST) headsets, like Meta's Quest line, show you a camera feed of the real world with digital overlays. Optical-see-through (OST) glasses, like Google's Project Aura with XREAL, blend digital imagery directly into your natural field of view. The first devices using Reality Elite include XREAL's Project Aura, shown at Google I/O earlier this year, and an upcoming headset from Play for Dream.

START: A white-label playbook for AI glasses

The second announcement targets a different problem. Building smart glasses from scratch requires expertise in chips, optics, software, and AI models. Few traditional eyewear companies have that. START bundles an AR chip, software platform, companion apps, and three reference designs into a package that lets manufacturers skip years of R&D.

The reference designs cover the obvious starting points: an audio-plus-camera setup similar to Meta's Ray-Ban smart glasses, a monocular display, and a binocular display. Inspecs and O'Neill, the latter owned by TitanFlex, are among the first eyewear partners in the white-label program. Qualcomm says START will eventually support form factors beyond glasses.

This is Qualcomm playing kingmaker. If dozens of startups and legacy eyewear brands can ship AI glasses using START, Qualcomm collects revenue regardless of which products succeed. The strategy mirrors its smartphone playbook, where Qualcomm chips power most Android flagships even as individual phone makers compete against each other.

Why Qualcomm thinks phones are losing ground

Amon's framing is unusually direct. He told CNBC that the principle behind these new devices is simple: something you wear, something always with you, something that sees the world around you so AI agents have context. Phones meet some of those criteria, but they spend most of their time in pockets. Glasses, earbuds, and pins stay exposed to the environment.

“I think there's going to be a lot of experimentation with different form factors. Right now, we have over 40 designs of those devices, and I'm telling you, the types of form factors are very, very broad.”

— Cristiano Amon, CEO of Qualcomm

The 40-device figure is striking. Qualcomm isn't waiting to see which form factor wins before committing. It's seeding as many experiments as possible, betting that at least some will stick. Jewelry stands out as an unusual category. A ring or pendant with an AI chip inside could capture audio and limited visual context without the social awkwardness of camera glasses.

The battery and privacy problems nobody solved

Discussion on Reddit's r/technology and Hacker News has been skeptical on two fronts. First, battery life. Running a 3-billion-parameter model at 45 tokens per second requires serious power. Current smart glasses last a few hours with modest workloads. Adding continuous AI inference could cut that drastically. Qualcomm did not release battery benchmarks.

Second, privacy. Camera-equipped glasses have failed before, most famously with Google Glass in 2013. People don't like being recorded by strangers. Meta's Ray-Ban glasses have sold better partly because they look like normal sunglasses, but the privacy tension remains. Qualcomm's vision of 40+ always-on AI devices gathering real-world data will face regulatory and social pushback, especially in Europe.

What this means for Apple and Samsung

Qualcomm's bet implies that the smartphone's role will shrink. Apple and Samsung have spent years making phones the hub for watches, earbuds, and home devices. If AI wearables become primary computing surfaces, the hub becomes less important. Apple's Vision Pro and rumored smart glasses suggest it sees the same future, but Apple builds its own silicon. Samsung relies on Qualcomm for many of its chips. A successful START ecosystem could give Samsung a path forward, or it could empower competitors who undercut Samsung on price.

The next two years will show whether Qualcomm's gamble pays off. XREAL's Project Aura and the Play for Dream headset are the first Reality Elite devices. If they gain traction, expect more announcements. If they flop like most VR headsets before them, Qualcomm still has its smartphone chip business as a backstop.

Frequently Asked Questions

When will Snapdragon Reality Elite devices be available?

XREAL's Project Aura, shown at Google I/O 2026, is among the first devices using Reality Elite. Play for Dream is also developing a headset. Qualcomm has not announced a specific ship date for either product.

How does Snapdragon Reality Elite compare to Apple's Vision Pro chip?

Qualcomm claims Reality Elite can run 3-billion-parameter AI models at 45 tokens per second on-device. Apple's M2 chip in Vision Pro prioritizes spatial computing and video passthrough. Direct performance comparisons depend on specific workloads, and neither company has published head-to-head benchmarks.

What is Qualcomm's START program?

START (Scalable Turnkey AI-Ready Toolkit) bundles an AR chip, software stack, companion apps, and three reference designs to help eyewear manufacturers ship AI glasses without building the technology from scratch. Inspecs and O'Neill are early partners.

Can these AI wearables work without a phone connection?

Qualcomm designed Reality Elite for both standalone and tethered devices. Standalone headsets process everything on-device; tethered glasses offload some compute to a connected phone or PC. START reference designs include both configurations.

What AI wearable form factors is Qualcomm developing?

CEO Cristiano Amon said the company is working on over 40 designs including camera-equipped earbuds, smart jewelry, lapel pins, and watches. The goal is always-on devices that provide context for AI agents.

Source: TechCrunch / Ivan Mehta