A Taiwanese company named E-TEN introduced the Glofiish X500 in 2006. It had a touchscreen, Wi-Fi, GPS, a full Windows Mobile operating system, and the overall aspirations of a product that thot it was a little ahead of its time. That wasn’t incorrect. It simply didn’t know how far ahead it was. Not because the Glofiish was badly constructed, but rather because the software revolution it was attempting to drive had outgrown the hardware architecture behind it, the iPhone arrived within eighteen months and immediately made the entire category it occupied feel outdated.
The AI Pin was introduced by Humane twenty years later. Based on the idea that people were ready to quit staring at glass rectangles and engage with computers in a more ambient way, this screenless device projects a laser display onto a palm and is driven by an AI backend connected to the cloud. The product was taken off the market. Anyone who recalled the Glofiish tale could identify the causes: a battery life that was insufficient for actual use, thermal issues under prolonged load, and a reliance on the cloud that caused latency when the device needed to feel instantaneous. It was an early architectural design. It wasn’t the idea.
Instead of viewing this as a collection of separate product failures, there is a pattern here that should be taken seriously. Hardware reinvention is driven by a constant mechanism and occurs on an approximately twenty-year cycle. The desktop PC, mobile PDA, and smartphone are examples of dominant computer paradigms that mature until they reach a wall related to ergonomics, interface friction, and user weariness rather than processing capability. When a better device emerges, people do not give up on the dominating one. Living with it has accumulated minor annoyances that eventually grow into major ones, so they give up on it. The industry then attempts to make a drastic change. For reasons that appear clear in hindsight, it frequently fails the first time.
The 386 PC, which standardized business computing, was the pivotal moment in 1986. Before capacitive touch rewrote the rules, Windows Mobile pocket computers reached the limit of what resistive touchscreens and mobile browsers could accomplish in 2006. In 2026, wearable AI technology will reach a similar ceiling in terms of silicon efficiency, battery density, and the difference between what cloud-dependent AI is capable of and what users perceive as seamless. Before the next attempt is successful, the industry learns from each failure what the architecture truly requires.
One could refer to the most consistent pattern as the complement versus replace fallacy. Every new category of hardware comes with the implicit or explicit promise to displace the current one. The smartphone was supposed to be replaced by the smartwatch. The laptop was to be replaced by the tablet. The phone was to be completely replaced by the AI Pin. At least not yet, none of them did. Instead, there is usually a period of adjustment during which the new category learns to operate as an accessory, expanding rather than replacing the current gadget. In the process, it develops the infrastructure and user behavior that it eventually needs to stand alone. The most obvious example in the current era is perhaps the Apple Watch. The iPhone was not killed by it. It clung on the iPhone long enough for people to find it impossible to part with.
It’s likely that the next generation of AI hardware will take the Humane AI Pin’s lessons and recreate it with improved local inference chips, longer battery life, and less reliance on the cloud. Wearable technology comes first, followed by accessories and eventually standalone devices. It’s really unclear when that will happen. However, based on the past, the transition’s structure seems familiar. Even tho the companies failing in the muddy middle don’t find much solace in the pattern, there’s something almost comforting about that.
The aspect that jumps out when seeing this cycle unfold is how similar the Glofiish and the AI Pin are to one another—not in terms of appearance, but rather in terms of their goals and the reasons for their failures. Both were based on the incorrect infrastructure and the proper instinct. Both reached the border between one age and the next, and they both incurred the costs associated with transitional equipment. Usually, the credit goes to those who follow them.
