The wearable tech industry is having an identity crisis. When The Verge's Victoria Song asked Google what to call their new Project Aura glasses, it sparked a heated debate about terminology that reveals deeper confusion across Silicon Valley about how to position these AI-powered face computers.
A simple question at Google's Project Aura demo last week exposed the tech industry's biggest identity crisis since tablets tried to kill laptops. Victoria Song from The Verge asked what to call these new glasses-shaped computers, and suddenly everyone had opinions about the future of wearable terminology.
The answer? Nobody really knows.
Meta fired the first shot earlier this year when a communications representative asked journalists to refer to Ray-Ban Meta glasses as 'AI glasses' instead of smart glasses. The strategic rebrand makes sense - it distances these devices from Google Glass's failed legacy while positioning artificial intelligence, not augmented reality, as the killer feature. CEO Mark Zuckerberg and CTO Andrew Bosworth have consistently framed the glasses as the perfect AI delivery vehicle.
But Google is playing by different rules. Juston Payne, Google's director of product management for XR, defines AI glasses as stylish, lightweight devices that may or may not have displays, with AI integral to the experience. Project Aura doesn't qualify under this definition - Google officially calls it 'wired XR glasses' because of its tethered battery pack.
The confusion deepens when you talk to hardware partners. Xreal CEO Chi Xu, whose company collaborated with Google on Project Aura, simply laughed when asked about categorization. 'We will call all our glasses and previous products AR glasses,' he told Song.
This isn't just semantic confusion - it reflects a fundamental industry shift. Research firms can't even agree on basic definitions. Gartner defines smart glasses as camera- and display-free devices with Bluetooth and AI - essentially glorified headphones. Counterpoint Research focuses on 'smart glasses without see-through displays' as the primary market driver. IDC takes the broadest approach, including anything glasses-shaped.
The old categories are breaking down. We used to have clear divisions between virtual reality (immersive, cut off from the world) and augmented reality (digital overlays on reality). Then mixed reality and extended reality entered the conversation, blurring lines further. Form factor used to predict function - headsets meant VR, glasses meant AR. Not anymore.
Today's headsets increasingly blend virtual and real worlds, while glasses-shaped devices serve vastly different purposes. The Samsung Galaxy XR isn't called the Galaxy MR, even though mixed reality better describes its capabilities. True AR, with its sci-fi promise of digital overlays, remains mostly theoretical.
Song suggests the industry might eventually categorize these devices by usage patterns rather than technical specifications. AI glasses emerge as all-day wearables - stylish enough for constant use, even when batteries die. They're designed for brief, frequent interactions, potentially replacing smartwatches for notification management rather than phones entirely.
Headsets, conversely, are episodic devices tied to specific use cases like entertainment or multi-screen work. You wear them for one to two hours, then take them off. Project Aura sits somewhere between - glasses-shaped but headset-like in usage.
The terminology battle matters because it shapes consumer expectations and market positioning. When Meta pushes 'AI glasses,' it's betting that artificial intelligence will drive adoption more than augmented reality promises. When Google fragments its naming strategy, it reveals uncertainty about which features will ultimately matter to users.
Market research shows the confusion extends beyond marketing departments. Three major analyst firms - Gartner, Counterpoint Research, and IDC - each provided different definitions of smart glasses when Song researched XR headset adoption patterns. This fragmentation makes it difficult for consumers to understand product categories or for developers to target specific use cases.
The stakes are high. Early smart glasses failed partly due to unclear value propositions and social stigma. Today's devices need clearer positioning to avoid repeating Google Glass's mistakes. Whether companies settle on AI glasses, smart glasses, wired XR, or something entirely new will influence how quickly mainstream consumers adopt these technologies.
The wearable tech industry's naming confusion isn't just about marketing - it reflects genuine uncertainty about what these devices will become. As AI glasses, smart glasses, and XR headsets compete for consumer attention, the companies that can clearly communicate their value proposition will likely win the race for mainstream adoption. Until then, we're all just making educated guesses about what to call these face computers.
