First, we’ve got a straight telecom story for you: WISPA’s Richard Bernhardt warns that CBRS faces an inflection point. As policymakers debate its classification and carriers rethink their strategies, two very real realities are emerging: CBRS remains one of the most compelling, flexible spectrum tools in U.S. telecom — and it’s facing seismic uncertainty. Don’t miss the exclusive conversation.

Meanwhile, the convergence of telecom and AI continues, as the industry’s investment map is redrawn — not just in where capital flows, but in what defines a network. Nvidia’s latest initiatives — a $1 billion data center partnership with Deutsche Telekom in Germany and a new collaboration with Nokia — signal how deeply the boundaries between compute, connectivity, and cloud are blurring.

These moves represent more than new infrastructure; they’re part of a larger shift toward AI-native networks, where GPUs and telecom gear increasingly operate as one fabric. In this model, inference isn’t something that happens on top of the network — it’s embedded within it. The network itself becomes the engine of intelligence, capable of optimizing traffic, energy use, and service quality in real time.

That evolution is exactly what Blue Planet’s Kailem Anderson explores in the first episode of RCRTech Talk. He argues that AI’s real power in telecom lies not in algorithms, but in data quality and context — the ability to make networks adaptive, intent-driven, and self-optimizing. “In AI, data has to be context aware, and it has to have ‘intent’ so you can use it to drive real-time change,” says Anderson. Watch the entire interview for more on the future of network automation.