Are AI Wearables the True Extension of Human Capability?
Marshall McLuhan theorized it 60 years ago and Steve Jobs envisioned it 35 years ago, but technology never quite delivered on the promise of seamless human-technology augmentation. AI wearables are finally changing that, and companies that are early to understand this shift are positioning themselves for a significant competitive advantage.
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In his book, Understanding Media: The Extensions of Man, which was published more than 60 years ago, Canadian philosopher and communication theorist Marshall McLuhan explained why he believes that AI and wearable technology represent the natural evolution of media as extensions of ourselves. He saw technology as an extension of our inner thoughts, ideas and feelings—essentially, an extension of our inner consciousness.
“All technologies are extensions of our physical and nervous systems to increase power and speed.”
McLuhan’s observations led to identifying patterns between humans and technology that were the precursors to today’s wearable AI innovations. His core theory was that “all technologies are extensions of our physical and nervous systems to increase power and speed.” These extensions, whether physical, social, psychological, or intellectual, flow through all of McLuhan’s subsequent ideas—i.e., the wheel extends our feet, the phone extends our voice, television extends our eyes and ears, the computer extends our brain, and electronic media, in general, extend our central nervous system.
When we think about how today’s AI wearable technology is seamlessly becoming a true extension of human capabilities, thus validating McLuhan’s 1964 theories, it’s also important to refer back to a 1990 quote by Steve Jobs describing the future of computing: “What a computer is to me is the most remarkable tool that we’ve ever come up with, and it’s the equivalent of a bicycle for the mind.” Based on a study he read about energy efficiency across species, Jobs believed that with the right tools, human beings can become unstoppable and go far beyond our own personal limitations.
When we think about how today’s AI wearable technology is seamlessly becoming a true extension of human capabilities, thus validating McLuhan’s 1964 theories, it’s also important to refer back to a 1990 quote by Steve Jobs describing the future of computing: “What a computer is to me is the most remarkable tool that we’ve ever come up with, and it’s the equivalent of a bicycle for the mind.” Based on a study he read about energy efficiency across species, Jobs believed that with the right tools, human beings can become unstoppable and go far beyond our own personal limitations.
While the iPhone has certainly delivered on some aspects of Jobs’ “bicycle for the mind” vision, it has also become more of a distraction device. Today’s AI wearables, such as Meta’s smart glasses and Apple’s AirPods Pro 3, are the first technology to actually deliver on Jobs’ 35-year-old vision of true human-technology augmentation.
Are AI Wearables Bridging the Cognitive Divide?
The global wearable AI market was valued at $39.7 billion in 2024 and is forecast to register a 27.7% compound annual growth rate (CAGR) between 2025 and 2034, with some projecting growth from $48.82 billion in 2025 to $260.29 billion by 2032. Driving these staggering numbers is generative AI, which is being led by new products from Meta and Apple.
Despite a somewhat unsuccessful product demo of its smart glasses, which was covered here by The New York Times, Meta is looking to accomplish what McLuhan believed was possible and what Jobs envisioned about humans having the foresight to bridge physical, social, psychological, or intellectual functions with technology. However, these AI-powered, camera-equipped smart glasses also carry with them “implications for surveillance and privacy [and] could exacerbate Meta’s challenges because the products subtly record what wearers see and hear.” The article also reported that both Google and Apple are also looking to launch their own smart glasses in the near future. Putting aside for a moment the technological and privacy concerns Meta is facing, think about whoever solves these issues first and how these glasses can conceivably connect with everything you see.
For example, for those who are visually impaired or blind, the glasses can help them with their everyday needs by making their lives more accessible. They can use AI and voice commands to identify objects or describe their surroundings—e.g., “Is the traffic light red or green, and can I cross the street now?” Or if they’re in the supermarket, they can ask the AI “Which is the liter of Pepsi?”
“Unlike smartphones, which are constantly pulling our attention away from the physical world, these wearables finally deliver on Jobs’ original promise: ¬technology that enhances human capability without cognitive separation.”
This seamless human-technology integration isn’t only changing how we see the world, it’s also providing us with the ability to have a translator in our ear at all times. On September 9th, 2025, Apple introduced the AirPods Pro 3, which uses AI to perform real-time translations. As also reported by the New York Times, and despite being 35 years after the fact, this brings Jobs’ vision of using technology as a “bicycle for the mind” to life. “The technology is one of the strongest examples yet of how artificial intelligence can be used in a seamless, practical way to improve people’s lives.” AirPods users only need to make a gesture to activate the digital interpreter. About a second after someone speaks, the translation in the wearer’s preferred language is played through the earbuds.
Unlike smartphones, which are constantly pulling our attention away from the physical world, these wearables finally deliver on Jobs’ original promise: ¬technology that enhances human capability without cognitive separation. We’re witnessing the first true realization of the “bicycle for the mind” concept that both McLuhan theorized and Jobs envisioned. Given global adoption of Apple products, this could potentially render other translation apps or services obsolete.
How Are AI Wearables Creating the New Competitive Divide in Business?
The fitness industry is at the forefront of adopting AI-powered wearables, driving a significant transformation in how people approach, track, and personalize health and wellness. With a global market size that is expected to jump from $9.8 billion in 2024 to $46.1 billion by 2034, AI-enabled fitness apps and smart devices are becoming essential tools for personalized workout plans, real-time feedback and advanced health tracking. Industry leaders like Fitbit, Apple and Garmin are setting the pace by integrating AI to deliver tailored insights and improve user engagement.
Companies that embrace AI wearables as part of their business strategy aren’t just adopting new technology, they’re gaining fundamentally different capabilities that create a distinctive competitive advantage. Healthcare organizations can now prevent diseases instead of just treating them. Manufacturing companies can eliminate errors before they happen. Retail businesses can personalize experiences in real time. As originally shared here, these aren’t incremental improvements; they’re capability gaps that become harder to close over time.
Healthcare and Prevention: AI wearables take a proactive approach to monitoring patients, providing doctors with real-time status and insights into their patients’ health.
Early Detection: Wearables like the Cyrcadia Breast Monitor detect cancer through temperature analysis, enabling earlier intervention.
Diabetes Management: Devices like FreeStyle Libre and Dexcom G7 continuously monitor glucose without finger pricks.
Infant Safety: Smart socks and monitors track newborns’ vital signs, helping prevent sudden infant death syndrome (SIDS) and alerting parents to health issues.
Enterprise and Industrial Applications: Companies are using AI wearables for improving workflow efficiency, worker safety and operational visibility.
Hands-Free Operation: RealWear headsets let workers access manuals and instructions without stopping their tasks.
Safety Monitoring: SmartCap devices detect worker fatigue through brainwave tracking, preventing accidents in high-risk industries.
Assembly Guidance: Microsoft HoloLens overlays real-time instructions directly onto equipment for faster, error-free manufacturing.
Warehouse Efficiency: Zebra wearables provide instant inventory updates and barcode scanning without handheld devices.
Smart Retail: Location-based wearables send personalized offers to customers as they move through stores.
The competitive advantage here isn’t just about having better tools; it’s about having workforce capabilities that competitors without wearables simply cannot match. As McLuhan predicted, these innovations have become extensions of human capabilities, creating a new class of augmented workers who can operate at levels that seem almost superhuman compared to traditional approaches.
How Are AI Wearables Creating the New Competitive Divide in Business?
There’s no doubt that the recurring trepidation about AI platforms extends to AI wearables—even more so when it comes to surveillance and privacy concerns. I’m sure that a lot of you reading this wear some kind of AI wearable, be it an Apple Watch, Fitbit or Oura Ring. Personally, between CrossFit training and ice hockey, I’m able to continuously track and monitor my heart rate, calories and other key health metrics via my iWatch. Frankly, I couldn’t live without it at this point. Recently, I had to wear a Zio Heart Monitor to verify that my very low resting heart rate was due to the amount of exercise I do. I wore it for a week and then sent it back to the company for the results, which came back normal.
Why does this matter?
Because what started out as personal fitness tracking is becoming the foundation for business transformation. People who wear pacemakers can be monitored by their doctors in real time, enabling early detection of problems and prompt intervention. Factory workers are getting real-time safety alerts. Warehouse employees are operating with superhuman efficiency. McLuhan theorized it 60 years ago and Jobs envisioned it 35 years ago, but AI wearables are finally delivering on that original promise of technology as a true extension of human capability. Companies that understand this shift early on are positioning themselves on the right side of the new cognitive divide. The question for business leaders isn’t whether this transformation will happen, but whether they’ll be leading it or scrambling to catch up.
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