Qualcomm wants to be the chip inside whatever replaces your smartphone, and it just announced two products toward that end

· Source: TechCrunch · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Internet of Things (IoT) & Connected Devices, Emerging Technologies & Innovation · Depth: Intermediate, quick

Summary

Qualcomm has unveiled two new offerings, Snapdragon Reality Elite and the Scalable Turnkey AI-Ready Toolkit (START), as part of its strategy to power the next generation of AI wearable devices beyond smartphones. CEO Cristiano Amon stated the company is working on over 40 different AI wearables, including smart jewelry, camera-equipped earbuds, pins, and watches. Snapdragon Reality Elite, designed for mixed-reality glasses, boasts significant performance gains: up to 60% in GPU, 30% in CPU, and 160% in NPU, enabling a 3-billion-parameter language model to run at 45 tokens per second. It supports 4.4K per-eye resolution at 90 fps and will be used in devices like XREAL Project Aura. The START toolkit provides an AR chip, software, apps, and a white-label program with three reference designs, aiming to accelerate market entry for hardware makers like Inspecs and O'Neill. Qualcomm positions itself as the foundational silicon layer for these emerging form factors.

Key takeaway

For entrepreneurs and product strategists evaluating the next wave of computing, Qualcomm's aggressive push into AI wearables signals a critical shift. You should consider how foundational silicon and turnkey solutions like START can accelerate your entry into novel form factors beyond smartphones. This strategy lowers development barriers, allowing you to focus on unique user experiences and data collection for AI agents, rather than extensive chip design.

Key insights

Qualcomm is strategically positioning itself as the foundational silicon provider for a diverse array of AI wearable devices, anticipating a post-smartphone computing era.

Principles

Method

The Scalable Turnkey AI-Ready Toolkit (START) provides an AR chip, software, companion apps, and a white-label program with three reference designs (audio+camera, monocular, binocular displays) to expedite hardware development.

In practice

Topics

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

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