Artificial Intelligence Podcast: ChatGPT, Claude, Midjourney and all other AI Tools

The cloud isn't actually in the sky — it runs on electricity, and AI is straining the grid like nothing before it. Jonathan Green talks with Stephanie Cox (CEO of GridEQ) about the energy reality behind the AI boom: why hyperscale data centers are a brand-new kind of load, why the real bottleneck is planning and permitting rather than power, how energy storage bridges fast-moving AI and slow infrastructure, why communities are pushing back, and where a smarter, more distributed grid goes from...

Joshua Wilson has done roughly 2,500 interviews and runs Oneiron Network, a podcast network built for dealmakers, capital markets and investment banking. He remembers when an hour of recording meant ten hours of work — and when that work quietly killed the only part that mattered, which was building relationships with people. So he handed the tedious half to AI early, and then drew a hard line around the rest. Jonathan Green talks with him about why he now deliberately wants the chickens in t...

T.J. Marlin spent most of his career investigating corporate crises — the kind that end up on the front page of the Wall Street Journal — and the pattern he found was not the one people expect. Across those global investigations, the overwhelming majority of the harm was not caused by external attackers. It was caused by helpful employees who did not know better, making assumptions nobody could see. Now CEO of Guardrail Technologies, he argues an AI agent is exactly that employee: a junior hi...

Most teams call an AI project done the moment it works. Qing Zhang, Managing Director at LDV Partners, sees the deals before the rest of us do — and she thinks the finish line is somewhere else entirely. Jonathan Green talks with her about why AI is quietly redefining security, identity and the perimeter all at once, what happens when one person is running thousands of agents that talk to each other without anybody watching, why the honest answer to "is our AI secure?" is uncomfortable at boa...

The reproducibility crisis in industrial science is estimated to waste thirty to fifty billion dollars a year, and John F. Conway says almost none of it is a technology problem. He is Chief Visioneer Officer at 20/15 Visioneers and has spent twenty-five years on scientific data — first building the models, then realising the world had a data problem so severe that the models could not save it. Jonathan Green talks with him about why smaller foundational models beat giant ones in the lab, why ...