How AI Is Driving Wearable Tech As The Future Of Personal Computing
Smartphones are the go-to devices for personal computing today. However, that could soon change with AI and wearable devices such as smart and augmented reality glasses.
Francis Sideco, Contributor
Forbes
2 min read
7/10
Key Takeaways
IDC forecasts AI wearable shipments to grow at a 45% compound annual growth rate through 2028, reaching over 250 million units annually.
Meta's Ray-Ban smart glasses, launched in 2023 with integrated Meta AI, have sold more than 2 million units as of Q1 2025, driving consumer adoption.
Apple is reportedly targeting a 2026 launch for lightweight AI smart glasses, separate from the Vision Pro, with a potential price point under $1,000.
A 2025 survey by PwC found that 68% of consumers are interested in AI-powered smart glasses that offer real-time translation and navigation.
Startups like Brilliant Labs and Humane raised over $1.5 billion combined in 2024-2025, focusing on AI-first wearable form factors.
The smartphone's decade-long reign as the epicenter of personal computing is facing its most serious challenger yet: AI-powered wearable devices. According to a recent analysis on Forbes by Tirias Research, artificial intelligence is rapidly transforming wearable tech into the next major computing platform, with smart glasses and augmented reality headsets poised to shift how we interact with information, moving from pocket-bound screens to always-on, context-aware devices. For years, smartphones have dominated personal computing because they combined connectivity, computing power, and portability in a single handset. But the convergence of advanced AI—especially large language models and multimodal AI that can understand voice, gestures, and visual environments—now enables wearables to deliver capabilities that were previously impossible. Companies like Meta, Apple, Google, and startups such as Humane and Brilliant Labs are pouring billions into AI-optimized wearables. Meta's Ray-Ban smart glasses integrate Meta AI, allowing real-time translation, object recognition, and hands-free navigation. Apple's Vision Pro, while currently heavy on mixed reality, signals the company's long-term bet on spatial computing and AI-driven interfaces. Market projections from IDC estimate AI wearable shipments will grow at a compound annual growth rate of 45% through 2028, with revenue expected to exceed $80 billion by 2030. These devices are not just about displaying notifications; they leverage generative AI to provide proactive assistance, such as summarizing meetings, suggesting responses, and even analyzing emotions in real time. The shift has profound implications for the entire technology ecosystem. If wearables succeed, they could reduce smartphone dependency, reshape app distribution models, and force a rethinking of digital privacy and security. Analysts caution that battery life, social acceptance, and miniaturization remain significant hurdles. However, the integration of generative AI is making wearables increasingly indispensable. For example, real-time language translation in smart glasses could break communication barriers, while AI agents that anticipate user needs could replace the countless app interactions required on phones. The outlook for AI wearable tech is promising but hinges on execution. The next two years will be critical: Apple is expected to launch lightweight AI-powered smart glasses by 2026, while Meta aims to make its AI glasses a daily accessory for millions. If AI continues to improve rapidly, we may see a tipping point where wearables become primary devices, relegating smartphones to optional accessories. This transition would mark a fundamental change in how humans interact with technology—moving from a device we look at to one we wear and that looks out for us.
Frequently Asked Questions
The shift is driven by advances in generative AI and multimodal models that enable wearables to understand voice, images, and gestures in real time. This makes devices like smart glasses far more capable than earlier versions, prompting huge investments from companies like Meta, Apple, and Google.
AI wearables are designed to be always-on and hands-free, delivering information through audio, augmented reality overlays, and haptics. They reduce the need to look at a screen, often leveraging AI agents to anticipate needs rather than requiring manual app interaction.
Meta leads with its Ray-Ban smart glasses that integrate Meta AI. Apple is developing AI smart glasses expected by 2026, while Google is investing in Android-based AR glasses. Startups like Humane and Brilliant Labs are also innovating with AI-first form factors.
Key challenges include battery life limitations, social acceptance of wearing connected devices in public, privacy concerns over always-on sensors, and the need to miniaturize components without compromising performance.
Analysts predict mainstream adoption by 2028-2030, as hardware becomes lighter, battery life extends to full-day use, and compelling apps and AI features become available. Apple's expected entry with smart glasses could be a major catalyst.
Security is a growing focus. Companies are implementing on-device AI processing to limit data exposure, encryption for wireless connections, and strict privacy controls for camera and microphone usage. However, as with any connected device, risks remain.
