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In this episode of Big Technology Podcast recorded at Davos, host Alex Kantrowitz sits down with Qualcomm CEO Cristiano Amon to explore the future of AI-powered devices and computing. (01:33) Amon predicts that the AI device market could reach 10 billion devices - larger than the current smartphone market - as computers increasingly understand what we see, say, and write. The conversation covers how AI will transform everything from wearable glasses and earbuds to industrial robotics and data centers. (05:07) Amon explains that while smartphones currently sell 1.2 billion units annually, the addition of AI-powered wearables like glasses, rings, and watches could exponentially expand the market.
Cristiano Amon is the CEO of Qualcomm, a $170 billion semiconductor company that designs the Snapdragon chips found in high-end Android phones, PCs, automobiles, and increasingly wearables. Amon has led Qualcomm through its expansion into AI-powered devices and data center infrastructure, positioning the company at the center of the AI revolution from edge devices to industrial applications.
Amon predicts the AI device market could reach 10 billion units, surpassing the current smartphone market of 1.2 billion annual sales. (04:51) This expansion will occur as AI enables computers to understand what we see, say, and write, making wearables truly useful rather than just smartphone extensions. The key difference is that future wearables will connect directly to AI agents rather than merely extending phone functionality, fundamentally changing their value proposition and creating new use cases.
When asked about different form factors, Amon strongly believes glasses will be the primary AI wearable device. (20:26) His reasoning is that glasses capture everything closest to our senses - near the mouth for speaking, near the ears for hearing, and positioned where the camera moves naturally with head movement. While other companies experiment with earbuds with cameras or pendants, glasses provide the most comprehensive sensory interface for AI agents to understand user context.
Amon argues that "the winner at the edge is gonna be the winner of the AI race" because edge devices have real context about users and their environment. (24:49) Unlike generic models trained on internet data, edge AI can understand your personal context, location, and immediate needs. This gives companies with strong device presence a significant advantage, as they have access to the contextual data that makes AI truly useful for individuals.
The real value of AI PCs lies not in consumer features but in changing the economics of software applications. (33:35) SaaS companies currently pay for cloud computing every time they run AI inference, but AI PCs can perform these operations locally for free. Amon provides the example of document summarization - instead of paying for cloud compute, the same task can run on the device's AI engine at no additional cost, dramatically improving the economics for software companies.
Despite getting less attention than consumer AI, industrial applications represent enormous potential across every vertical. (48:01) Amon explains that computer vision alone can transform manufacturing through quality control, retail through real-time inventory management, and transportation through license plate recognition. The opportunity spans retail, warehousing, healthcare, manufacturing, and energy, with real-time processing of physical AI data from sensors and cameras.