Rumblings of a New Personal Intelligent (OpenAI) Device Opportunity…Surely It Is Already Here

As Generative Artificial Intelligence (Gen AI), Agentic Artificial Intelligence (AI), OpenClaw, and NanoClaw continue to wade into our lives, there has been constant murmurings of a “new” and “screenless” electronic device could enter our work and even our personal spaces to provide communications, information, entertainment, and perhaps even emotional support (from an AI Buddy). Much of this interest was triggered 2.5 years ago, when Humane AI scrambled to be one of the first to market with an “AI Pin” concept device…with no high-resolution Liquid Crystal Display (LCD)/Organic Light-Emitting Diode (OLED) screen, but there was a connected AI that could be on hand. Regrettably (and perhaps inevitably due to its pioneer status), latency, poor reading, manipulation of the laser ink projection display, poor battery life, and overheating doomed the early commercial product.

Others are striving to overcome those early product limitations. Most notably, OpenAI and Joney Ive are supposedly in active Research and Development (R&D) on a portable AI assistant. Since the initial rumors started to swirl, there has been speculation that the device could be a wearable pin, an AI-enabled pen, or some sort of portable device. The latest indications, based on some litigation filed by audio hardware startup iyO against OpenAI, are that it is “not an in-ear device, [or] a wearable device.” Only time will tell, as the OpenAI product is expected to commercialize in early 2027. However, several related AI Pin product concepts have made it to market with more pragmatic functionality. However, ABI Research contends that an existing form factor, the wireless earbud, could squeeze out this opportunity or least constrain it to be a niche market.

A few AI pin-type vendors have taken a more pragmatic approach and have developed “AI notetakers” rather than a full-on, comprehensive AI assistant. Examples include Plaud and Pocket. Both offer AI notetaking but take strikingly different approaches. In the case of Plaud, it very much targets journalists and any individual that needs to interview a colleague, customer, or subject matter expert. The device can attach to a lapel, shirt pocket, or be placed discretely in view. Pocket, on the other hand, attaches to the back of a smartphone using an iPhone or other MagSafe-compliant smartphone case. Notable hardware specifications include:

• Plaud NotePin and NotePin S: Ultra-compact pill-shaped devices, ~16.6 grams, worn via a magnetic pin, clip, lanyard, or wristband, Micro-Electro-Mechanical Systems (MEMS) microphones with AI speech enhancement, 64 Gigabytes (GB), ~270 Milliampere-Hour (mAh), and Bluetooth® and Wi-Fi for connectivity.
• Pocket: A credit card-sized, MagSafe-compatible AI device, 64 GB of onboard memory, dual studio microphones and a contact (vibration) microphone for private phone calls, 4 days battery, and Bluetooth® and Wi-Fi for connectivity.

Given the current court-filed documents by OpenAI, it could be that the OpenAI device may emulate the Pocket-style attach to the smartphone approach. Or perhaps a mini, puck-shaped device that can be placed on a car dashboard or on a desk that can clearly pick up the audio information in the environment? Apple is also rumored to be developing a similar concept.

These concept devices can very well have their roles to play in various end-user niches, but ABI Research argues that the wireless earbuds with or without the smartphone could capture the AI assistant market as it does have the “ear” (pun intended) of the end user. Earbuds have moved on substantially from being listening and recording devices. For example, the latest earbuds from cutting-edge vendors have already incorporated AI functionality that can access edge AI processing. In the case of Apple, it is the AirPod's H2 chipset, while Samsung has opted to utilize the Qualcomm Snapdragon 8 Elite chip inside the paired Samsung smartphone. In other instances, earbuds can reach out to cloud-based Large Language Models (LLMs). The latest AI-enabled earbuds can, therefore, support the following functionality:

• Real-Time Transcription & Meeting Notes: In addition to raw text capture, built-in cloud LLM integration can generate summaries.
• Live Bi-Directional Translation: The earbuds can process a foreign language spoken in the end user’s vicinity.
• Offline/One-Tap Capture: Audio can be captured with a single tap on the earbud or the charging case.
• Always-On AI Assistants: Gemini on Pixel Buds, Siri on AirPods Pro 3, and Copilot/Moto AI can enable low-latency, always-listening voice activation.
• Smart Notification Prioritization: On-device AI filters can prioritize notifications, reading out only messages from key contacts.

Additional functionality could come to market soon. There are indications that vendors such as Apple may be integrating highly miniaturized infrared cameras into the earbuds to monitor movements and objects in the end user’s immediate vicinity. The earbuds could potentially “read” hand gestures to interpret “stop play,” “next song,” or adjust audio input due to the presence of other individuals/animals/objects in the environment.

Speculation regarding the portable (or wearable) OpenAI personal device will no doubt continue to rumble on for some months yet. Furthermore, the device could still prove seismic in the market, once released. However, there is one screenless, personal device form factor that ABI Research anticipate will go from strength to strength—the wireless earbuds. Not only are they canceling background noises, but also supporting a number of AI assistant functionalities. If some of the rumors are correct, your earbuds could well be able to read your gestures and monitor your health by taking your heartbeat, temperature, and other health metrics from your ear canal.

From ABI Research’s own smart earbuds and headset research in Wearables and Mobile Accessories Market Share and Forecasts (MD-WEAR-114), aftermarket headsets and earbuds shipped 1.08 billion units in 2025 and are expected to grow to 1.3 billion by 2031. Given these latest AI-enabled innovations and continued improvements to battery life and audio fidelity, ABI Research believes that there is potential upside to market opportunities and is actively investigating the growth drivers for its next market data release in 3Q 2026.