arXiv:2605.21395v1 Announce Type: cross Abstract: The proliferation of emerging applications, such as autonomous driving and immersive experiences, demands cellular networks that are not only faster, but fundamentally more resilient and autonomous. This paper presents a BlueSky vision on how Artificial Intelligence will be natively integrated into 6G, shifting the paradigm from \underline{Network for AI} to \underline{AI for Network}. We envision that, unlike 5G's reliance on scattered, ad-hoc models each trained for a single task, native AI in the 6G era will be anchored by a foundation model
The accelerating pace of AI development and the insatiable demand for network capacity by emerging applications like autonomous driving are forcing a re-evaluation of network architecture.
This vision outlines a fundamental architectural shift in 6G, moving from networks that merely support AI to networks where AI is an intrinsic, foundational component, enabling greater resilience and autonomy.
Future cellular networks will natively integrate AI, building on foundation models rather than scattered, task-specific AI implementations, thus creating truly AI-native infrastructure.
- · Telecommunications equipment providers
- · AI model developers
- · Cloud infrastructure providers
- · 6G network operators
- · Legacy network hardware manufacturers
- · Operators reliant on manual network management
- · Ad-hoc AI solution providers
The native integration of AI in 6G will lead to highly optimized and self-managing networks with unprecedented levels of automation and efficiency.
This shift could accelerate the development and deployment of advanced AI applications that require ultra-low latency and highly reliable connectivity, such as widespread autonomous systems.
The development of AI-native 6G could consolidate power among the few entities capable of developing and deploying these complex foundation models, potentially raising concerns about digital sovereignty and competition.
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Read at arXiv cs.LG