JSA Podcasts is a fast-moving industry program focused on telecom, data centers, cloud, and the broader digital infrastructure market. Its recent episodes feel like conversations caught right off the expo floor. The setting matters. Interviews from Cannes, Times Square, and ITW give the show a live, trade-show cadence, where news, introductions, and market anxiety sit in the same conversation. The show is especially tuned to the data center boom around AI. Power comes up again and again. Guests talk about energized land, power purchase agreements, gas-powered compute, grid interconnects, transmission limits, and the pressure to get capacity online faster than traditional development timelines allow. The show also pays close attention to where compute is moving. AI training campuses, inference sites, edge workloads, healthcare use cases, education campuses, and high-performance compute all appear as different expressions of demand rather than one generic technology trend. Its strongest moments are practical. Arseny Grusha describes why mid-scale AI factory sites can move faster than gigawatt dreams. Gauri Pothar explains development as a service and how gas supply, engineering, and grid strategy fit together. Atif Ansar frames project schedules as live operating documents that can reveal risk before construction turns painful. Matt Caldwell separates AI training from inference and explains why location starts to matter when latency matters. Jim Bowie pushes against treating every workload as AI while still making the case for stronger compute in healthcare, manufacturing, and analytics. The show also includes talent-focused interviews, including Diletta at Vertiv discussing curiosity, adaptability, and the value of non-technical backgrounds. The editorial feel is energetic, friendly, and company-news-driven. It is not a consumer tech show. It is built for people who already care about infrastructure, capital deployment, construction schedules, power constraints, and the companies trying to keep up with demand.