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From ISAC and digital twins to personal AI and physical AI, Qualcomm and its partners are designing 6G as an end-to-end intelligent platform
As Qualcomm looks beyond 5G, the company is framing 6G less as a generational upgrade and more as the establishment of an end-to-end platform for intelligence. The familiar pillars of cellular evolution are still there: more capacity, broader coverage, better reliability and lower latency. But in Qualcomm’s view, those are only the starting points. The bigger shift is that 6G is being designed to integrate connectivity, compute, sensing and AI in a way that supports new classes of applications and new types of devices. That expansive framing was on display at Mobile World Congress 2026, where Qualcomm showcased demonstrations spanning foundational air-interface innovation, agentic radio access network automation, distributed AI inference and new AI-native services.
In an interview with RCR Wireless News, Qualcomm SVP of Engineering and Head of Wireless Research John Smee explained that difference is intentional. “When Qualcomm is designing generations of cellular…one of the interesting parts is that each generation is a little bit different in terms of the priorities. And those in some sense align to where the world is going — there’s a predictive element to how we’re designing 6G.” In practical terms, that means Qualcomm is still pushing on the traditional connectivity metrics, but with a much broader view of what the network needs to enable. For Qualcomm, AI now sits alongside connectivity as a design principle for the system itself. “AI is not just a use case,” as Smee said.
In the context of 6G, AI is present from the wireless air interface, through the network and out to endpoints that include both physical AI and personal AI. With regard to personal AI, Smee discussed how smartphones will anchor new agentic experiences orchestrated across new types of devices, including AR glasses, medical wearables and even earbuds equipped with cameras. “There’s a lot of exciting technologies that are coming and AI establishes a framework to stitch them together.”
During Mobile World Congress, Qualcomm demonstrated use cases that reflected that direction; AI Recall, for instance, would allow smart glasses to effectively remember where the user placed an item then help the user locate that if prompted. This particular use case — and other future 6G experiences — are enabled by distributed compute wherein AI workloads essentially collaborate across devices and network edge locations based on link conditions, power constraints and compute requirements.
Smee also sees sensing as a major part of 6G both for networks and for operators looking to leverage the network to deliver new services. “Sensing is incredibly powerful,” he said. “The beauty of a cellular network is its coverage, is its footprint. So leveraging that for new things like integrated sensing and communications [ISAC] is a very powerful aspect of 6G and we think that opens up digital twins, it opens up new applications.”
A big part of the 6G vision is converging connectivity, compute and sensing into AI-enabled perception; in this context, adaptive digital twins are a key piece. “We’re applying AI to establish these digital twins of the physical world — so using those RF sensing capabilities not only on the network side but also the device side and having that exchange of information,” Smee explained.
That becomes especially important for physical AI. Smee connected 6G directly to robotics and vision-language-action models; future industrial and humanoid systems will rely on wireless communications to move data, coordinate actions and support training and inference. “You’re not plugging in those mobile robots to train them. You’re doing that over wireless. The field is changing quickly and communications has to change quickly to catch up and make sure we’re delivering on those future use cases.” The big idea here is that 6G can serve as an AI inference fabric that links data-center resources, telco edge infrastructure and intelligent endpoints into one coordinated system.
The path from 6G vision to commercialization, planned for late 2029, will depend on ecosystem coordination as much as technical ambition. Smee pointed to early partner engagements as evidence of momentum and alignment across infrastructure, applications, hyperscalers and emerging device categories. “There’s a lot of work to be done.” But the goal, he said, is “to help realize the 6G vision and really turn it into action. In the next few years, we’ll have a lot of exciting milestones driving that forward.”