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HomeAI Tools & TechnologiesQualcomm Sets 2028 Target for 6G Devices with AI Integration

Qualcomm Sets 2028 Target for 6G Devices with AI Integration

Quick Take

  • Qualcomm targets 2028 for 6G device rollout with AI integration
  • 6G will bridge cloud and edge computing for generative AI systems
  • Technology promises ultra-low latency and high bandwidth capabilities
  • New ecosystem will enable on-device and edge-cloud AI solutions
  • CEO Amon envisions AI agents replacing traditional user interfaces

Qualcomm outlines bold 6G strategy to transform AI deployment across cloud and edge systems by 2028

From Global 5G Evolution Summit and Snapdragon Summit 2025

Qualcomm is betting big on 6G-enabled AI applications as the cornerstone for next-generation artificial intelligence platforms, with CEO Cristiano Amon targeting device availability by 2028. The semiconductor giant’s blueprint focuses on building a connected ecosystem where generative AI works smoothly across distributed computing networks.

At the Global 5G Evolution Summit, Qualcomm’s Chief Technology Officer Dr. Jim Thompson explained how 6G will cut reliance on centralized cloud systems by letting AI operate more effectively on edge devices. This spread-out approach could open doors to new real-time processing and contextual computing possibilities.

Transforming How We Interact with Technology

During the recent Snapdragon Summit 2025, Amon painted a picture of AI agents becoming the main way we interact with devices, moving beyond today’s user interface models. “Devices will evolve into smart partners that can predict and understand context,” the executive said, pointing to a shift from reactive to anticipatory computing.

The 6G framework will provide ultra-low latency and high bandwidth features crucial for these advanced AI applications. Qualcomm’s approach emphasizes hybrid cloud-edge computing that can handle demanding workloads while keeping real-time responsiveness.

Reshaping Industries and Business Models

Qualcomm’s timeline points to a major change that will require developers to work with hybrid cloud-edge systems. This shift could spawn new business models and revenue opportunities, especially in industrial IoT, autonomous systems, and immersive extended reality spaces.

The company is working closely with industry leaders and tech giants to tackle issues like fragmented standards and compatibility problems. This joint effort aims to create unified protocols for AI development in the emerging 6G landscape.

Practical Applications Coming to Life

Qualcomm expects 6G-enabled AI to show up first in health monitoring systems, autonomous vehicles, and immersive XR environments. These uses will blend the lines between local and cloud-based processing, creating more advanced and responsive user experiences.

“The push for 6G-integrated AI isn’t just a network upgrade—it’s the foundation for a new ecosystem of intelligent, context-aware devices,” noted one company executive, highlighting the technology’s potential to reshape industries worldwide.

Building Market Leadership

The announcement puts Qualcomm in pole position at the intersection of next-generation wireless networks and artificial intelligence. By aiming for 2028 commercial deployment, the company hopes to secure early market leadership in 6G-enabled AI applications.

This schedule matches broader industry predictions for 6G standardization and commercial launch, giving Qualcomm a strategic opportunity to shape technical specifications and ecosystem development.

Qualcomm’s 6G vision goes beyond simple network improvements—it sketches a complete rethink of how artificial intelligence weaves into everyday human interaction. As the 2028 deadline gets closer, this ambitious plan’s success will hinge on industry teamwork and solving technical hurdles around standards and compatibility.

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HOWAYS Editorial Team
HOWAYS Editorial Teamhttps://howays.com/
HOWAYS delivers trusted AI business insights across the US, UK, Canada, Australia, India, and globally. Founded by Kumar Krishna (Lead Editor) with Fact-Check Editor Gaurav Jha, our editorial team combines AI research with human expertise to provide accurate, original content for business professionals. Our authors bring verified industry experience and professional qualifications in AI and business reporting.
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