The next generation of AI wearables isn't designed to passively record your life; instead, they're built to let you actively control AI agents and automate tasks. As the market for AI interfaces expands beyond smart glasses and rings, a growing number of startups are betting that the real opportunity lies in giving users direct command over artificial intelligence, not just capturing data about them.

What's Driving the Shift Away From Passive Recording?

For the past year, the AI wearable space has been dominated by devices designed to capture everything around you. Plaud's AI pin, the Sandbar ring, and similar gadgets function as always-listening recorders that transcribe meetings, take notes, and log your activities. But founders and engineers who've worked in the space are now questioning whether passive recording is actually what users want.

Aina, a Bengaluru and San Francisco-based startup founded by Apoorv Shankar, a former VP of Hardware at smart ring maker Ultrahuman, just raised $5.5 million to pursue a different vision. The company announced the funding round on July 16, 2026, with backing from Redstart Labs, 360 ONE, and notable individual investors including WhatsApp head Kunal Shah and Razorpay co-founders Harshil Mathur and Shashank Kumar.

"I left Ultrahuman last year because I was just super curious about the space of AI interfaces. Devices like Rabbit and Humane Pin had launched, and I had my own disappointments with them. However, I was just excited that we are seeing interfaces being a thing now," said Apoorv Shankar, founder of Aina.

Apoorv Shankar, Founder of Aina

How Are Action-Oriented Devices Different From Passive Wearables?

Aina's approach centers on what Shankar calls "action-oriented" devices that help users control and trigger workflows rather than simply recording what happens around them. The company developed three initial products to test this concept, each designed to let users invoke AI agents and automate repeated tasks.

The three devices Aina created include:

• Dune: A three-key, context-aware macro keyboard that can control microphone and camera during meetings and run shortcuts based on the app users are viewing
• Radiance: A tabletop remote for video calls featuring a dial for volume and buttons for microphone, camera, AI notetaker, voice modulation, and meeting controls
• Shift: A single-tap agentic button that, when pressed, triggers an AI agent to carry out a repeated task and connects to your phone

In early testing, Dune emerged as the most popular of the three devices, so Aina decided to ship it first. The company plans to begin testing with select users in the coming weeks and will use real-world feedback to inform its next product.

Why Is the Hardware Industry Suddenly Focused on AI Agent Control?

The shift toward action-oriented devices reflects a broader recognition that the real value of AI interfaces may lie not in passive observation but in active automation. As more developers and knowledge workers adopt AI coding tools like Claude Code and OpenAI's Codex, demand for hardware specifically designed to control and trigger those agents has grown steadily.

Just this week, OpenAI released a custom keypad for Codex made with Work Louder, signaling that even major AI companies see hardware as a critical interface for agent control. Rabbit R1 has also positioned itself as a device for invoking AI agents, and Qualcomm says it is experimenting with more than 40 devices to interact with AI.

"I think you have enough context, you have in your phone and your laptop all the time, and we haven't even started using that well. We are building an action-oriented device that will use the context to help you control and trigger workflows," explained Apoorv Shankar.

Apoorv Shankar, Founder of Aina

What Does This Mean for the Broader AI Wearable Market?

The competitive landscape for AI interfaces remains fragmented, with no clear winner on form factor yet. Meta Ray-Bans and Even Realities are betting on smart glasses, while Bee and Friend are taking the wearable route. Pocket is experimenting with credit card-sized pucks, and companies like Plaud continue to refine the AI pin concept.

However, the emergence of action-oriented devices suggests the market may be bifurcating. One segment will likely continue to focus on passive capture and context awareness, while another pursues active control and automation. With funding flowing into startups like Aina and established players like OpenAI and Qualcomm investing in hardware, expect a wave of new devices and funding rounds as the industry searches for the answer to a fundamental question: What does controlling AI actually look like ?

How to Evaluate AI Wearables for Your Workflow

• Assess Your Primary Use Case: Determine whether you need a device for passive recording and note-taking or for actively controlling AI agents and automating tasks, as these serve fundamentally different purposes
• Test Real-World Performance: Look for devices that have been tested with actual users and refined based on feedback, rather than theoretical designs, to ensure they solve genuine workflow problems
• Consider Integration Capabilities: Evaluate how well a device integrates with the AI tools and apps you already use daily, such as coding assistants, meeting software, or productivity platforms

The AI wearable market is entering a new phase where the question is no longer whether devices should record you, but what they should help you do with the information they have access to. As startups like Aina raise funding and established players experiment with new form factors, users will soon have more choices about what kind of AI interface fits their actual needs.