After years of accumulation, agentic AI has reached a tipping point. Especially with the recent surge of Agents and on-device inference, AI now seems only one step away from reaching every industry.
But to empower every endpoint with AI, it is not enough to build massive cloud compute for larger models. Vendors also need to create matching compute foundations for different devices. For battery-powered products in particular, the challenge is to deliver chips that balance performance, power, and cost—while covering both AI acceleration and general-purpose compute. That is the demanding test the current agentic-AI wave has set for suppliers.
As a company that has spent more than four decades in mobile and computing, Qualcomm() is clearly ready.
In the agentic era, the compute foundation is being rebuilt
Over the past year, “agent” has become the hottest keyword in AI. Chip competition has also shifted from “who has more TOPS” to “who has the better system.”
Looking back at recent AI-chip evolution, one trend is increasingly clear: what actually determines on-device experience is not just higher TOPS. It is how heterogeneous engines—CPU, GPU, NPU, ISP, and others—work together efficiently, how data movement is reduced, and how memory bandwidth is raised so models can run as close to compute as possible.
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