Artificial intelligence is moving beyond smartphones and computers, setting the stage for a new wave of innovation in wearable technology.

Since the beginning of 2026, technology companies including Apple, Meta, Anker, Shokz and Alibaba’s Qwen have accelerated the rollout of AI-powered wearable devices, introducing capabilities ranging from real-time translation and automated meeting summaries to visual recognition and health monitoring.

Yet the pace of adoption varies across product categories. Earbuds and smartwatches benefit from established consumer markets, while smart glasses are emerging as a faster-growing segment with considerable room for innovation.

The industry is increasingly following two distinct paths: established wearable products are integrating AI to expand their functionality, while newer devices are experimenting with alternative interfaces and use cases that could reshape how consumers interact with technology.

1. From Smart Wearables to AI-Powered Devices

The evolution of wearable technology has unfolded in three broad stages.

Early wearable devices focused on specific functions, such as timekeeping, step counting and audio playback. Smart wearables subsequently incorporated sensors, wireless connectivity and computing capabilities, enabling health monitoring, fitness analytics and message notifications.

AI-powered wearables represent the next stage, combining these capabilities with large language models and multimodal AI systems to support natural-language understanding, content generation, visual recognition and more sophisticated task execution.

These categories aren’t separate markets. AI-powered wearables generally represent a more advanced subset of smart wearable devices.

The more significant shift lies in how the technology operates. Rather than simply executing predefined commands, wearable devices are gradually gaining the ability to interpret information, process content and respond to increasingly complex user requests.

2. AI Earbuds and Smart Glasses Redefine Everyday Interactions

AI Earbuds: From Audio Playback to Intelligent Information Processing

AI-enabled earbuds are evolving beyond their traditional role as audio accessories, with three applications emerging as key areas of development: real-time translation, meeting documentation and intelligent personal assistance.

Real-time translation is no longer limited to converting spoken language into written text. Some devices now allow users to hear translated speech directly through their earbuds while working alongside smartphones to facilitate two-way conversations.

Meanwhile, AI-powered meeting earbuds are integrating recording, transcription, summarization and action-item extraction into a single workflow.

Instead of reviewing lengthy recordings after a meeting, users can receive structured summaries and identified follow-up tasks automatically.

The role of earbuds as personal assistants is also expanding. Devices that once offered little more than voice activation are becoming convenient interfaces for accessing smartphone applications and personal information.

Users can increasingly check calendars, retrieve messages and delegate certain tasks through voice commands.

These developments are creating two distinct segments within the AI earbud market.

The first involves mainstream true wireless stereo (TWS) earbuds incorporating AI features such as translation and voice assistance. The second targets professional and specialized applications, including business meetings and multilingual communication, where AI-driven information processing serves as a central selling point.

Both approaches are expanding the value proposition of wireless earbuds, although most complex AI functions still rely on smartphones or cloud-based processing.

Smart Glasses: Giving AI the Ability to See

Smart glasses offer a different advantage: access to visual information.

Camera-equipped AI glasses can already recognize objects, read text and answer questions about a user’s immediate surroundings.

A shopper examining products on a store shelf, for example, can ask an AI assistant for relevant product information. Travelers encountering foreign-language menus or signs can request translations without first taking photographs and uploading them through a smartphone.

The smart-glasses market is also developing along two distinct product paths.

Display-free models rely on cameras, microphones and speakers to provide visual recognition and spoken responses, prioritizing lightweight designs and all-day wearability.

Display-equipped models go further, projecting navigation instructions, notifications and translation results directly into the user’s field of view, potentially reducing the need to check a smartphone.

Meta is exploring another dimension by combining visual understanding with AI agents.

Rather than merely identifying what a user is looking at, future smart glasses could interpret visual information and take subsequent actions on the user’s behalf.

Such capabilities point toward a transition from environmental awareness to task execution, although many features remain in development or are being introduced incrementally.

3. The 2026 Product Wave: Smartphone Makers, Audio Specialists and AI Platforms Compete

The latest wave of AI wearables reflects an increasingly diverse competitive landscape.

Smartphone manufacturers are extending their AI ecosystems into earbuds and smartwatches. Specialized hardware companies are developing AI features for specific professional and consumer applications, while major internet and AI platforms are investing in entirely new device categories.

Smartphone Manufacturers Extend Their AI Ecosystems

Apple introduced AirPods 5 on September 9, adding hands-free Siri AI interaction, real-time translation and head-gesture controls.

The earbuds allow users to access Siri AI and receive responses informed by personal information stored on compatible iPhones. Live translation capabilities also depend on supported Apple Intelligence features.

Samsung, meanwhile, introduced its Galaxy Buds4 series in February 2026, expanding voice access to AI assistants including Bixby, Gemini and Perplexity.

Working with Galaxy AI and compatible Galaxy smartphones, the earbuds support real-time translation across 22 languages.

Beyond listening to translated conversations, users can employ AI assistants to take notes, set reminders and retrieve information.

Samsung’s approach reflects a broader effort to move beyond conventional voice controls by integrating multiple AI assistants and task-oriented capabilities into wearable interfaces.

Chinese smartphone makers are pursuing similar strategies.

OPPO introduced its Enco Clip2 open-ear earbuds in June, featuring AI-powered real-time translation and quick access to Google’s Gemini assistant.

Vivo launched its TWS 5 Pro during the same period, integrating the company’s translation technology and BlueLM-based Xiao V assistant. The device supports two-way conversational translation and intelligent notifications covering flight schedules, train services and package deliveries.

Honor’s Earbuds Open offers two-person conversational translation and simultaneous interpretation, broadening its applications for cross-language communication.

Xiaomi’s Buds 5 Pro, meanwhile, allows users to initiate recording, AI transcription and translation through earbud gestures, extending the product’s role in information capture and processing.

Audio Specialists and AI Platforms Target Workplace Productivity

Beyond smartphone ecosystems, specialized audio brands and AI platforms are positioning earbuds as tools for productivity and intelligent assistance.

On October 13, Alibaba’s Qwen partnered with Bose to introduce Qwen Clip, an AI-powered clip-on earbud combining open-ear audio technology with the Qwen AI assistant.

The device supports multilingual real-time translation, AI-assisted note-taking and voice-based task delegation.

While companies such as Anker and Shokz have concentrated on workplace productivity and everyday assistant functions, Qwen is positioning its earbuds as a wearable interface for personal AI agents.

The broader ambition is to move beyond processing spoken information toward executing tasks on behalf of users.

In September, Anker and Feishu, ByteDance’s workplace collaboration platform, jointly introduced AI meeting earbuds priced at approximately $253, equivalent to their original listed price of RMB 1,799.

The product goes beyond recording and transcription by integrating with Feishu Minutes, creating a more continuous workflow for meeting documentation, translation and information management.

Its charging case also incorporates a touchscreen that displays recording status and other information.

Shokz showcased its OpenFit 2 AI during September’s Apsara Conference, introducing new AI Lab features that integrate intelligent conversations, calendar and task management, quick notes and message assistance into an open-ear design.

Powered by Qwen’s large language model, the device is intended to support everyday workplace activities and personal-assistant applications.

Smart Glasses Move Toward Integrated AI Services

Competition in smart glasses is increasingly shifting from individual hardware features toward integrated AI experiences.

At its Connect conference on September 23, Meta unveiled its third-generation Ray-Ban Meta glasses and Ray-Ban Meta Audio products, emphasizing improvements in photography, battery performance and AI interactions.

More notably, Meta announced plans to bring its personal AI agent, Muse, to smart glasses.

The integration would allow users to initiate requests based on products, text and other visual information in their surroundings, enabling AI to process related tasks rather than merely provide descriptions.

Meta is also expanding navigation and calendar-management applications for display-equipped glasses.

In China, Alibaba’s Qwen introduced its N1 and N1 Pro AI glasses on October 13.

The N1 series incorporates continuous environmental awareness, real-time translation, meeting summaries and voice-based task execution, reflecting a broader transition from reactive assistants toward more proactive services.

The N1 Pro adds eye-tracking interactions, iris-based identity verification and health-monitoring capabilities.

The device can identify objects based on where users are looking and employ AI to interpret physiological data such as heart rate and blood-oxygen levels.

Together, these developments suggest that smart glasses are evolving from standalone hardware products into platforms for context-aware, AI-driven services.

4. Industry Outlook: The Next Competitive Frontier Is Integrated Intelligence

The latest developments in AI wearables point to three emerging industry trends.

First, AI is becoming a new upgrade cycle for established wearable categories.

Earbuds and smartwatches already serve large installed user bases, giving manufacturers an opportunity to introduce additional capabilities without fundamentally changing the devices’ hardware designs.

By integrating AI into existing audio, health and fitness applications, companies can expand product functionality and potentially strengthen their ecosystems.

Second, the growth of emerging wearables will depend on improvements in both AI capabilities and core product experiences.

Smart glasses are expanding rapidly, but consumer expectations extend well beyond artificial intelligence.

Photography, audio quality, comfort and everyday usability remain important purchasing considerations.

For AI capabilities to generate sustained consumer demand, they must be integrated into practical use cases rather than offered as isolated technical features.

Third, wearables are evolving from standalone hardware into connected intelligent-service platforms.

Apple’s cross-device ecosystem, Meta’s AI assistants and the integration of large language models with specialized earbuds and workplace software all demonstrate the increasingly close relationship between physical devices and AI services.

This convergence could reshape competition across the consumer-electronics industry.

Hardware manufacturers are no longer competing solely on design, performance and price. They are increasingly competing on their ability to integrate AI models, software ecosystems and services into seamless user experiences.

The next phase of wearable technology is therefore unlikely to produce a single dominant device category.

Instead, earbuds, smartwatches and smart glasses are expected to develop along differentiated paths, shaped by their respective sensing capabilities, interaction models and everyday applications.

Ultimately, the industry’s competitive focus is shifting from the addition of individual AI features toward the delivery of integrated hardware experiences, practical user value and intelligent services.

As technology companies accelerate investment in AI-powered wearables, the winners may be those that make artificial intelligence less of a standalone feature and more of an indispensable part of everyday life.

[Disclaimer] The above content reflects analysis of publicly available information, expert insights, and BCC research. It does not constitute investment advice. BCC is not responsible for any losses resulting from reliance on the views expressed herein. Investors should exercise caution.