For years, smartglasses have promised a future where digital and physical worlds merge seamlessly. While the technology keeps on improving, two critical issues have held them back: on one side the hardware “look,” meaning design and social acceptability, on the other content and usability. Today, the first issue is being addressed through partnerships such as Meta and Luxottica, delivering sleeker frames that resemble everyday eyewear. Content and usability find a new solution in AI, with generative AI helping speed XR content creation (3D assets, textures, environments, NPCs and digital twins), and predictive AI (speech, vision, intent prediction) showing real promise in replacing clumsy menus and controllers with natural, context-aware interactions. 

AI might be the missing layer that makes extended reality usable, contextual, and personal, turning smartglasses and XR devices from niche gadgets to daily tech companions for your entertainment, connections and support.

1. Scaling Content Creation

One of XR’s biggest challenges has been the lack of compelling 3D content. Building interactive environments has traditionally required studios, teams, and budgets. Gen AI can help studios and indie creators iterate faster, creating more varied experiences and maintaining always-fresh content rotation for long-term engagement.

  • Models for 3D assets & environments. Gen-AI tools can produce base geometry, textures, LODs and even lighting setups from prompts or photos, dramatically shortening the time to prototype whole scenes or create digital twins. 
  • Auto-rigging, animation and behaviour: AI can auto-rig characters, synthesize realistic motion from small clips, and generate NPC behaviours reducing the effort required to build worlds.
  • Adaptive, procedurally-updated content: AI can personalize environment details to the user (scale complexity to device and network constraints), allowing the same content to run across high-end and low-end devices.

2. Multi-Device Intelligence for Intuitive Intent

By combining natural-language understanding with environmental sensing, smartglasses can interpret intent rather than wait for manual input, liberating users from clunky controllers or confusing UI. This capability is amplified when AI aggregates information from multi-modal sensors like gaze, gestures, head position, heartbeat, and potentially connects data from multiple personal devices like a ring, a watch, a wristband and a pair of smartglasses.

That’s when XR interaction becomes an augmentation of natural behavior rather than a new skill to learn, and glasses turn from gadgets to companions.

  • Natural language + context assistants: Instead of nested menus, users talk (or glance + talk) to an assistant that uses scene context to act.

  • Multimodal fusion + intent prediction: AI can fuse camera input, gaze, head position, voice commands and limited touch/gesture to infer intent.

  • On-device ML & pipeline optimization: Lightweight on-device models + cloud fallbacks let basic interactions be instant on glasses, with heavier generative tasks offloaded.

3. Monetizing Entertainment IP and Social Connections

AI doesn’t just make smartglasses easier to use — it transforms them into platforms for interactions and entertainment. Being able to watch your favorite show, play your favorite game, watch your football team or connect with your partner on any screen, even while traveling or on the go, is what consumers expect. The licensing and monetization expansion opportunities for entertainment, gaming or sports IP are significant. The engagement value with a brand, and IP or other users is massive.

5. Recommendations for Executives

For CIOs and CTOs:

  • Experiment with spatial workflows. Pilot AR-assisted training, remote collaboration, and data visualization to understand where smartglasses provide measurable value.
  • Build AI governance frameworks. Address privacy, data security, and ethical considerations for spatial and biometric data.
  • Invest in AI + XR interoperability. Ensure that your infrastructure, software stack, and developer ecosystem can handle multimodal AI and spatial computing across devices.

For CEOs:

  • Think beyond hardware — focus on experiences. Control the ecosystem of engagement and entertainment, not just the device.
  • Explore partnerships with media and sports IP holders. AI-rendered live events will become powerful engagement channels.

Reimagine communication. Smartglasses won’t just show data, they’ll facilitate relationships. Plan for an organic integration of your brand or content in users’ on-the-go line of sight.

Final Thought

Smartglasses will only succeed when they stop being tech and start being companions. AI enables that transition — by handling context, creation, and connection all at once.

When your glasses can understand what you see, what you mean, and what you care about, and provide you with your everyday entertainment content and connections, they cease to be mere screens. They become extensions of your perception and daily life — your personal assistant, your entertainment hub, and your social interface. That’s when XR moves from novelty to necessity, and when everyday tech truly becomes extraordinary.