Snap finally debuts its long-awaited AR glasses, Specs, and, oof, they aren’t cheap

· Source: TechCrunch · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems, Emerging Technologies & Innovation · Depth: Intermediate, long

Summary

Snap has officially launched Specs, its long-anticipated consumer smart glasses, priced at \$2,195. Unveiled at a spatial AI convention, preorders begin June 16 with a \$200 deposit, and shipments are expected this fall in the U.S., U.K., and France. These AR glasses, developed over a decade, feature two Snapdragon processors, offering up to four hours of continuous battery life, extendable to 20 hours with the charging case. Specs integrate all computing directly into the device, avoiding external tethers. Key functionalities include multiplayer games via "EyeConnect," video viewing with a 51-degree field of view, point-of-view recording, and internet access for productivity. A notable feature is contextual AI, allowing users to query objects they see. Weighing 132-136 grams, Specs are heavier than Meta Ray-Bans but significantly lighter than Apple Vision Pro. Despite privacy features like a recording LED, the high price positions Specs for tech enthusiasts and developers, entering a competitive market where profitability remains a challenge for AR hardware.

Key takeaway

For AR/VR developers or AI Product Managers evaluating next-generation hardware, Snap's Specs present a powerful, untethered platform with on-device contextual AI and custom ML model support. You should explore its advanced features like hand tracking and world meshing for specialized applications, particularly given its dual Snapdragon processors. However, be mindful of the \$2,195 price point and the broader market's struggle for AR profitability, which suggests a focus on niche professional or enthusiast use cases rather than mass consumer adoption.

Key insights

Snap's Specs are high-priced, self-contained AR glasses with on-device computing and contextual AI, targeting a niche market.

Principles

Method

Developers can leverage the dual SoC architecture to run custom ML models in Onyx format and utilize an extended permissions mode to send camera frames to external AWS servers for advanced AI processing with tools like vGPT and LangChain.

In practice

Topics

Best for: AI Engineer, AI Product Manager, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by TechCrunch.