Huawei launches AI glasses with self-developed chip as competition with Meta intensifies

Huawei launched AI glasses on April 20 with its own chip, entering a market Meta controls with 85% global share. The device costs 2,499 yuan (~$540) and includes voice translation and food nutrition analysis.

Categorized in: AI News IT and Development
Published on: Apr 21, 2026
Huawei launches AI glasses with self-developed chip as competition with Meta intensifies

Huawei enters AI glasses market with self-developed chip

Huawei released AI glasses on April 20 equipped with its own AI chip, marking the company's entry into a market Meta dominates with 85% global share. The device starts at 2,499 yuan (approximately $540).

A frame-mounted button activates voice translation and music streaming. The glasses include a multimodal function where a built-in camera captures food images and analyzes their nutritional content.

Competition intensifies beyond software

The AI race has shifted from improving model performance alone to embedding these systems into consumer hardware. Tech companies are treating wearable glasses as the next frontier after smartwatches.

Meta shipped 7.4 million units last year and widened its lead in September with an AR display that projects text directly onto the lenses. In China, where Meta doesn't sell officially, Alibaba competes with its Quark AI glasses.

Apple plans to release AI glasses with its Siri assistant within the next year. Samsung will unveil "Project Haean" this year, developed with Google and designed by eyewear brand Gentle Monster. The initial model emphasizes camera and speaker functions without an AR display.

South Korean startup Searlab developed domestically produced AI glasses equipped with general-purpose AI similar to Google's Gemini.

Hardware challenges remain

Industry sources cite heat generation from AR displays as a key obstacle to wider adoption. Once manufacturers resolve thermal issues, adoption rates are expected to accelerate, given that glasses are devices people already wear daily.

For IT professionals working on AI integration into hardware or building applications around generative AI and LLM systems, the shift toward practical wearables represents a significant deployment challenge distinct from cloud-based models.


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