Physical AI and the Future of Distributed Energy w/ Mike Calise @EVworldnews
Physical AI and the Future of Distributed Energy w/ Mike Calise  @EVworldnews
Uploaded April 2026 | Updated September 2026, 2 weeks ago
00:00 Introduction & Guest Overview
00:52 Mike Calise Background in EV Infrastructure
02:04 Charging 1.0 → 2.0 → 3.0 Explained
03:43 Why Fast Charging Became Critical
05:33 Grid Challenges with Ultra-Fast Charging
06:08 BYD Megawatt Charging Discussion
07:12 Are EVs Really Stressing the Grid?
08:42 EVs vs Data Centers: What’s Actually Driving Demand
10:49 How EV Adoption Really Scales Over Time
12:55 Real Bottlenecks in EV Charging Deployment
15:02 The Capital Problem Behind Charging Networks
17:30 When Do Charging Stations Become Profitable?
20:16 Why Charging Sessions Fail (Real Reasons)
22:27 Hardware vs Software Failures in Charging
26:12 Reliability Gap: Tesla vs Others
31:13 What Will Make V2G Go Mainstream?
33:40 Real-World V2G Case Study (School Buses)
36:12 Why Electric School Buses Matter
41:12 EV Charging Becomes an Active Grid Asset
45:17 AI, Data Centers & Power Demand Explosion
48:00 “Physical AI” and Edge Power Demand
51:56 What Looks Easy on PowerPoint (But Isn’t)
54:43 Biggest Myth About EV Charging
57:03 Why EV Adoption Is Inevitable
59:30 Closing Thoughts
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Physical AI and the Future of Distributed Energy w/ Mike Calise

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