AI Hardware Devices [2026]: Rabbit R1, Humane Pin, and What Actually Survived

The years 2023-2024 produced a wave of AI-native hardware devices — products designed from the ground up around AI assistance rather than adapting existing device categories. The Humane AI Pin (launched April 2024), the Rabbit R1 (launched March 2024), and several other devices promised to replace or supplement the smartphone as the primary personal computing device. By the end of 2024, the verdict on this first generation was largely delivered by user reviews, return rates, and subsequent company fortunes. Here is the honest post-mortem.

What Happened to the First Wave

The Humane AI Pin — a wearable device with a laser projector that displayed information on the palm — launched at $699 plus $24/month subscription and received almost universally negative reviews. The core criticisms were consistent: the laser projector was difficult to read in most lighting conditions, the device ran hot, battery life was insufficient for a full day, response times were too slow for practical use, and the AI capabilities didn't justify the premium over simply using a smartphone. Humane's subsequent financial difficulties — reported acquisition discussions and layoffs — reflected a product that failed to establish a user base beyond early adopters who returned their devices.

The Rabbit R1 — a small orange device with an AI assistant accessible via a button — had a more enthusiastic reception at launch but faced serious criticisms after users received their devices. The "Large Action Model" that was supposed to perform tasks on behalf of users (ordering food, booking rides, managing subscriptions) worked inconsistently and for a limited set of services. Security researchers found that the device stored sensitive credentials in ways that created significant security risks. Rabbit addressed some concerns through software updates, but the device's core value proposition — replacing smartphone apps with conversational AI — wasn't delivered at launch.

Why the First Generation Struggled

The fundamental challenge for AI-native hardware is that smartphones are an extraordinarily capable platform with massive software ecosystems and user familiarity built over 15 years. A new hardware category needs to offer something genuinely better in ways users find worth the switching cost and the price premium. The first generation of AI hardware didn't clearly solve a problem that smartphone users felt acutely enough to justify the tradeoff of leaving a platform that does thousands of things competently.

The AI capabilities themselves — which were the primary value proposition — were also available on smartphones through apps. ChatGPT, Claude, Gemini, and other AI assistants are accessible on existing hardware without the compromises of new form factors. The hardware didn't provide AI capabilities beyond what software on existing devices could deliver.

What the Second Generation Might Look Like

The lessons from the first AI hardware wave point toward integration rather than replacement: AI capabilities embedded in devices people already carry and use rather than separate devices that compete with smartphones. Apple's on-device AI integration (Apple Intelligence), Google's Gemini Nano on Android, and Samsung's Galaxy AI features represent this integration approach. The smart glasses category — where AI assistance is overlaid on a device people already wear (or would wear) — is the other direction being pursued by Meta's Ray-Ban glasses and several announced competitors.

Honest Bottom Line: The first generation of AI-native hardware (Humane Pin, Rabbit R1) largely failed to establish user bases because the devices didn't clearly improve on smartphone capabilities while introducing new limitations and costs. The fundamental challenge is that 15 years of smartphone software ecosystem development is a very high bar. The more promising direction for AI hardware is integration into existing device categories (smartphones, earbuds, glasses) rather than new standalone devices competing with established platforms.