# Qualcomm develops over 40 AI device designs as agent era accelerates

> Qualcomm is developing more than 40 AI device designs. The hardware push targets on-device processing for autonomous AI agents.

- Type: AI news
- Page: https://completeaitraining.com/news/qualcomm-develops-over-40-ai-device-designs-as-agent-era/
- Published: 2026-06-17
- Updated: 2026-06-22
- Author: Jeroen Erne
- Jobs: IT and development
- Reading time: 1 min

Qualcomm is developing more than 40 AI device designs as the technology industry moves into what it calls the "agent" era, MT Newswires reported on Tuesday. The report signals a hardware push to support autonomous AI software that can act on a user's behalf without constant cloud connectivity.

#### Hardware for the agent era

Details of the individual device designs were not immediately available beyond the initial headline. Qualcomm has previously said its Snapdragon platforms, which include dedicated neural processing units, are built to run large language models and generative AI locally. The shift toward [AI Agents & Automation](https://completeaitraining.com/tag/automation/) is pushing manufacturers to embed more intelligence at the edge, where lower latency and data privacy hold clear advantages over server-based processing.

Qualcomm executives have publicly described a hybrid AI model - splitting workloads between on-device and cloud - as the path to scalable, efficient agent systems. The company's move to produce more than 40 designs suggests it sees near-term demand for hardware purpose-built for that model.

#### Why this matters for IT and development professionals

Agentic AI workloads on phones, PCs, and IoT devices will change how applications are built and deployed. Development teams will need to optimize for NPU utilization, on-device model inference, and orchestration between local and cloud agents. For IT and development professionals, getting ahead of [AI for IT & Development](https://completeaitraining.com/tag/it-and-development/) means preparing for platforms that distribute intelligence across hardware silos, not just APIs in the cloud.

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