When Cristiano Amon walked onto the stage, there was no smartphone in his hand. On June 16, Qualcomm's CEO announced that the company is currently developing more than 40 AI wearable devices — camera-equipped earbuds, ear-clip terminals, pins, and smartwatches. Hearing that number, it was hard to treat it as a routine product roadmap. It felt closer to a public declaration of where Qualcomm intends to plant its flag after the smartphone — a statement about what it sees as the next computing platform.
In every technology cycle, the chip supplier moves first. The outline of the next platform often starts to take shape from that direction. This was one of those moments.
The Chip in Your Ear: Qualcomm's Two Opening Moves
Qualcomm unveiled two products alongside the announcement: the Snapdragon AR1 Gen 2 and the Snapdragon Sound Platform.
The AR1 Gen 2 is designed to power camera-embedded earbuds and smart glasses. The Snapdragon Sound Platform adds on-device AI processing to a broad range of hearable devices. Neither is sold directly to consumers. The goal is to give device makers — Meta, Samsung, Sony — the silicon they need to build wearables on top of Qualcomm's architecture.
This structure mirrors the playbook Qualcomm used to build the Android ecosystem. In the smartphone era, Qualcomm positioned Snapdragon as the reference chip and let manufacturers compete on top of it. Now it's running the same play with wearables.
The context for this pivot is a stagnating smartphone market. Global smartphone shipments have cycled through repeated plateaus and modest recoveries since 2016. The wearables market, by contrast, is estimated at roughly $95 billion as of 2024, with double-digit annual growth projected. For Qualcomm, announcing 40 device categories is a signal that it's actively looking for its next terrain beyond a saturated one.
One more detail is worth noting. Both products rely on on-device AI — inference happens inside the device itself, not in the cloud. Earlier smartwatches and earbuds were largely peripheral accessories tethered to a phone. This new architecture targets independent AI processing with no phone required. How much that difference can lower the experience barrier wearables have never managed to clear is the defining variable of this cycle.
When the Platform Shifts, So Does the Format
Every time the technology platform has changed, the way content is consumed has changed with it. In the PC era, long-form text was the dominant information format. The smartphone era gave us vertical video and short card-style content. Scroll, tap, screen-first interfaces have been the basic frame for content for more than a decade.
If wearables become everyday devices, that frame changes. Instead of a screen in front of your eyes, the primary interface becomes a voice in your ear or information overlaid on a lens. In that environment, long articles, image-heavy feeds, and scroll-based content don't fit. Short, contextually precise audio, real-time guidance, and location-aware information move to the front.
A solo creator or content director running a newsletter or YouTube channel today may find that format doesn't translate cleanly into this new environment. The content itself isn't the problem. When format doesn't match interface, delivery breaks down. Anyone who has built a content practice around text and visuals will face an adaptation cost when audio-first devices become the dominant surface.
Here's an interesting observation. Podcasters, audiobook producers, and solo creators already working in audio have a lower format-conversion cost in this transition. People who have trained their voice and honed their delivery can place their content on a new device without rebuilding from scratch. The quality of audio content isn't determined by voice-processing technology — it's determined by the creator's ability to structure an argument and deliver it with precision. I'd argue this is the most overlooked preparation asset in the current platform shift.
Google Glass Was "The Next Platform" in 2013, Too
This is the point where I have to honestly address the counterargument. The logic of "the post-smartphone platform is coming, prepare now" has appeared in every technology cycle.
In 2013, Google Glass arrived billed as "the next computing platform." The confidence in Silicon Valley was close to certainty. Yet it failed to clear the barriers of battery life, wearability, and social resistance, and was pulled from the consumer market. The metaverse boom traced the same arc. Oculus headsets sold, but the level of daily-life penetration Mark Zuckerberg predicted never materialized.
If the person standing next to you is wearing camera earbuds, you may be filmed without knowing it. That anxiety isn't something technology can resolve. It's a question of social acceptance. Qualcomm can build chips to support 40 categories of wearables, but if consumers feel resistance to wearing a device on their bodies, the ecosystem won't form.
The pace at which technology suppliers want adoption and the pace at which the market actually accepts it often move in different directions. Qualcomm's announcement can be read as "a declaration of the post-smartphone era" — or as "an industry's aspirations while it's still trying to persuade the market." Both readings are defensible right now.
Why You Should Audit Your Content Structure Now
Whether the wearable platform ultimately succeeds or fails is still an open question. But preparation isn't about predicting success. It's about checking whether your current structure can absorb a platform shift.
Start by testing your content's screen independence. Does your newsletter still land when read aloud? Does the audio track of your YouTube video carry the core message on its own? These questions are preparation for a wearable future — but they're also an immediate diagnostic for any podcast or audio channel you're already running. Content that works without a screen has a lower format-conversion cost regardless of what device comes next.
It's also worth examining your customer data architecture. The core operating logic of wearable AI is understanding "where is this person, what are they doing, and what do they need next." In that flow, businesses that have systematically built behavioral data will be first to deliver a personalized experience. Organizing your CRM and customer touchpoint data now is an asset that will hold its value regardless of which platform arrives.
There's a Korea-specific dimension worth acknowledging. Korea is one of the highest smartphone penetration markets in the world — which suggests the transition to the next device could move faster there as well. Meta's Ray-Ban smart glasses have sold more than one million units in the U.S. over the past 12 months. They're not yet mainstream. But the early trajectory resembles the pace of initial smartphone adoption. Just as creators who launched YouTube channels in Korea around 2011 — when the platform was still finding its footing — went on to build audiences in the millions over the next decade, those who experiment with new formats early tend to claim the channel advantage first.
The task right now is not "create content for body-worn devices." It's to confirm whether you have content that survives a format change.
While Qualcomm's CEO was listing 40 wearables from the stage, this transition had already begun — in the ears of some consumers. Those who defined their value before they defined their channel will be standing in the same place, whatever the format becomes.
