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

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

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

Written by: Jonathan Green : Artificial Intelligence Expert and Author of ChatGPT Profits
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Navigating the narrow waters of AI can be challenging for new users. Interviews with AI company founder, artificial intelligence authors, and machine learning experts. Focusing on the practical use of artificial intelligence in your personal and business life. We dive deep into which AI tools can make your life easier and which AI software isn't worth the free trial. The premier Artificial Intelligence podcast hosted by the bestselling author of ChatGPT Profits, Jonathan Green.

© 2026 Artificial Intelligence Podcast: ChatGPT, Claude, Midjourney and all other AI Tools Economics Leadership Management & Leadership Politics & Government
Episodes
  • Can the Power Grid Keep Up With AI? with Stephanie Cox

    Can the Power Grid Keep Up With AI? with Stephanie Cox
    Oct 12 2026
    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 here. Key Takeaways: • AI data centers are a new kind of load — continuous, massive draw the grid was never designed for (it was built for peak and weather events, not 24/7 hyperscale demand). • The real bottleneck isn't power, it's planning — transmission lines, interconnection queues, permitting, water, land, and community support. Securing power now takes far more than a purchase agreement. • Energy storage is the bridge — it fills the gap while slow infrastructure (substations take years) catches up to fast-moving AI and software. • Communities are pushing back — a stat she cites: ~90% of Americans don't want hyperscalers nearby (higher costs, water and power strain, few local jobs). The tension is power to the data center vs. power to the community. • Bet on efficiency and a diversified grid — smart investors already model the decline (chips obsolete in 12–18 months, software getting leaner). The future is distributed centers, mixed generation + storage, and secondary markets for stranded equipment (GridEQ's new line). Notable Quotes: "90% of folks in the US don't necessarily want the data centers coming into play." — Stephanie Cox "My hope is for a more diversified and resilient ecosystem — relying on more than just one technology." — Stephanie Cox Connect with Stephanie Cox: LinkedIn: https://www.linkedin.com/in/stephcox-co Company: GridEQ Enjoyed this? Follow The Artificial Intelligence Podcast and share it with someone thinking about AI, energy, or infrastructure.

    Connect with Jonathan Green

    • The Bestseller: ChatGPT Profits
    • Free Gift: The Master Prompt for ChatGPT
    • Free Book on Amazon: Fire Your Boss
    • Podcast Website: https://artificialintelligencepod.com/
    • Subscribe, Rate, and Review: https://artificialintelligencepod.com/itunes
    • Video Episodes: https://www.youtube.com/@ArtificialIntelligencePodcast
    Show More Show Less
    21 mins
  • What Should You Never Hand Over to AI? with Joshua Wilson

    What Should You Never Hand Over to AI? with Joshua Wilson
    Oct 9 2026
    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 the background, how a library of transcripts becomes a deal-signal machine that quietly brokers relationships between guests who have never met, how to break a media-trained guest out of their script, and the part of this no machine gets to touch. Key Takeaways: • Over-production now costs you trust. Joshua actively wants the ums, the kids in the background, the moment a guest says "that was probably dumb." When a show looks like a movie, the audience starts wondering whether any of it is real — so he tells his own network to edit less, not more. • Your transcript archive is the asset, not the SEO. Where else do you get an hour of a billionaire's undivided attention on the record? Do a hundred of those a year, make them searchable, and then mine them for deal signals — who wants to buy, who wants to sell, who is raising — and broker introductions between two guests who have never met. • Split the calibration by format rather than by taste. Audio can run long and unedited; the video cut gets trimmed for platform rules that can cost you monetization. That way the raw human moments survive where they are allowed to, instead of being sanded off everywhere. • Break the frame on a media-trained guest. When someone keeps slipping their company name into every answer, a curveball question scratches the record they are playing — and once they suspect another one is coming, they stop reciting and start talking. • Everything technical gets outsourced eventually; the human condition does not. AI will not tell you it knew an idea was wrong and did it anyway out of love for something. So use AI for all the work before and after the conversation — and never for choosing the guest, planning the questions, or the interview itself. Notable Quotes: "It lowers the trust factor when your show looks like a movie and people are like — are you even real?" — Joshua Wilson "The challenging question we must ask ourselves is: who do I serve?" — Joshua Wilson Connect with Joshua Wilson: LinkedIn: https://www.linkedin.com/in/joshuabrucewilson Network: Oneiron Network — https://oneironnetwork.com Enjoyed this? Follow The Artificial Intelligence Podcast and send it to whoever keeps polishing their show into something nobody trusts.

    Connect with Jonathan Green

    • The Bestseller: ChatGPT Profits
    • Free Gift: The Master Prompt for ChatGPT
    • Free Book on Amazon: Fire Your Boss
    • Podcast Website: https://artificialintelligencepod.com/
    • Subscribe, Rate, and Review: https://artificialintelligencepod.com/itunes
    • Video Episodes: https://www.youtube.com/@ArtificialIntelligencePodcast
    Show More Show Less
    46 mins
  • Is Your AI Agent an Employee Nobody Is Managing? with T.J. Marlin

    Is Your AI Agent an Employee Nobody Is Managing? with T.J. Marlin
    Oct 8 2026
    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 hire with no training, making real decisions on loans, power and infrastructure, who nobody would dream of onboarding with "never show me your work and do whatever you want." Jonathan Green talks with him about why mobile is the wild west, why MCP servers deserve the same scrutiny as any supplier, and the uncomfortable fact that you cannot train people to care about security — but you can constrain an agent. Key Takeaways: • An agent is a digital employee making decisions, not a process running a script. Your physical staff have an org chart, a job description and someone accountable for them. By default, agents have none of that — so nobody can say who let this one in the front door, or what came in behind it. • The threat is mostly not the villain. Looking back across a career of corporate crisis investigations, the harm overwhelmingly came from well-meaning employees whose choices were invisible to management — which is exactly the shape of the shadow AI problem now. • You cannot train people to care about security, and the industry keeps trying. Billions go into quarterly phishing simulations where most people click, take the training, and change nothing. Agents are different: you do not have to make them care, you constrain them with controls around and inside the thing. • MCP servers are suppliers, so vet them like suppliers. Procurement exists to check who you are doing business with. Is this running in somebody's garage? Is the data landing in a geography you never approved? A client once sent a basic security questionnaire to a platform they wanted to connect and got complete silence back. • Treat output like a magic eight ball and build the security cost in up front. Nobody is doing quality control — major consultancies have published cybersecurity reports containing falsehoods and handed them to governments. Secure by design costs more, and it costs far less than the liability. Notable Quotes: "It wasn't the bad actors externally that caused the harm. It was helpful employees that didn't know better." — T.J. Marlin "AI is not secure by default." — T.J. Marlin Connect with T.J. Marlin: LinkedIn: https://www.linkedin.com/in/toddmarlin Company: Guardrail Technologies — https://www.guardrail.tech Enjoyed this? Follow The Artificial Intelligence Podcast and send it to whoever just connected an MCP server without asking anyone.

    Connect with Jonathan Green

    • The Bestseller: ChatGPT Profits
    • Free Gift: The Master Prompt for ChatGPT
    • Free Book on Amazon: Fire Your Boss
    • Podcast Website: https://artificialintelligencepod.com/
    • Subscribe, Rate, and Review: https://artificialintelligencepod.com/itunes
    • Video Episodes: https://www.youtube.com/@ArtificialIntelligencePodcast
    Show More Show Less
    38 mins
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