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

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

By Jonathan Green : Artificial Intelligence Expert and Author of ChatGPT Profits

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

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

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  1. Number 1: Why Do Enterprise AI Rollouts Keep Failing? with Rob Lion

    Everyone was told to adopt AI, tried it, got burned — so why do enterprise AI rollouts keep failing? Jonathan Green talks with organizational strategist Rob Lion about the real reasons big AI initiatives miss: unrealistic expectations set by the hype, skipping change management, and the employee mindset of "make my job easier, but not so easy that I'm replaceable." Key Takeaways: • Most enterprise AI failures are change-management failures, not tech failures • The "promise of the commercials" sets expectations the rollout can't meet • If you skip how you roll it out, you bypass the most common path to success • Employees quietly resist: "make my job easier — but not so easy I'm replaceable" • Teach people the why and the workflow, not just "what's an LLM" Notable Quotes: "Make my job easier — but not so easy that I'm replaceable." — Rob Lion "When someone doesn't know what direction they're heading, the rollout's already in trouble." — Rob Lion Connect with Rob Lion: LinkedIn: https://www.linkedin.com/in/robertlion Website: https://blackriverpm.com Enjoyed this? Follow The Artificial Intelligence Podcast and share it with a leader rolling out AI.Connect with Jonathan GreenThe Bestseller: ChatGPT ProfitsFree Gift: The Master Prompt for ChatGPTFree Book on Amazon: Fire Your BossPodcast Website: https://artificialintelligencepod.com/ Subscribe, Rate, and Review: https://artificialintelligencepod.com/itunesVideo Episodes: https://www.youtube.com/@ArtificialIntelligencePodcast

    31min
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  2. Number 2: Are Data Centers the Future of AI? with Jason Finkelstein

    Are data centers the future of AI — or just the next bubble? Jonathan Green talks with startup advisor and VC Jason Finkelstein about the infrastructure boom behind AI: why the data center buildout mirrors the dot-com era, where the real money in xAI is hiding, and why today's billion-dollar server farms may be obsolete before we finish building them. Key Takeaways: • The data center boom is a bubble — miniaturization will make massive AI infrastructure unnecessary within a decade • Fan base beats technology: companies with loyal ecosystems (Meta, Google) will outlast pure-play AI providers with no secondary revenue • Cybersecurity is the next wave — deepfakes and AI-powered fraud are already outpacing most people's defenses • xAI's IPO reveals where the real AI value lies: 85% of SpaceX's prospectus valuation rests on AI, not rockets • The subscription model is coming for personal computing — the same shift Spotify pulled off with music is heading to AI hardware Notable Quotes: "I'm working right now in a $300 million data center in North Carolina. That's a new wave. But as you see with the iPhone and the technology and the computer, you're spot on. It's going to miniaturize. There's going to be no need for it. There is a bubble with the data centers." — Jason Finkelstein "I think fan base wins out, to be honest with you. I think you get by as long as you have a strong fan base." — Jason Finkelstein Connect with Jason Finkelstein: LinkedIn: https://www.linkedin.com/in/jasonjfinkelstein Enjoyed this? Follow The Artificial Intelligence Podcast and share it with anyone tracking the AI infrastructure race.Connect with Jonathan GreenThe Bestseller: ChatGPT ProfitsFree Gift: The Master Prompt for ChatGPTFree Book on Amazon: Fire Your BossPodcast Website: https://artificialintelligencepod.com/ Subscribe, Rate, and Review: https://artificialintelligencepod.com/itunesVideo Episodes: https://www.youtube.com/@ArtificialIntelligencePodcast

    24min
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  3. Number 3: Can AI Actually Run an Oil Field? with John Hooker

    We think of AI as digital — but can it run a real, physical oil field? Jonathan Green talks with John Hooker of Statistics & Control about AI in high-stakes industrial operations: where automation genuinely helps, where you still need a human who knows the process, and what "half robot, half person" operations actually look like. Key Takeaways: • In high-security, high-production environments, AI augments — it doesn't replace the expert • You still need someone who deeply knows the process to supervise the automation • The future is "half robot, half person" — humans and AI running operations together • Real-world signals (fuel flow, water, pressures) are where AI earns its keep • "Adopt AI" means knowing exactly what to hand it and what to keep human Notable Quotes: "It's almost like it's half robot, half person." — John Hooker "You need somebody who's very familiar with that process." — John Hooker Connect with John Hooker: LinkedIn: https://www.linkedin.com/in/johndhooker Company: Statistics & Control Inc (West Des Moines, IA) Website: https://stctrl.com/ Enjoyed this? Follow The Artificial Intelligence Podcast and share it with someone in industrial operations.Connect with Jonathan GreenThe Bestseller: ChatGPT ProfitsFree Gift: The Master Prompt for ChatGPTFree Book on Amazon: Fire Your BossPodcast Website: https://artificialintelligencepod.com/ Subscribe, Rate, and Review: https://artificialintelligencepod.com/itunesVideo Episodes: https://www.youtube.com/@ArtificialIntelligencePodcast

    29min
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  4. Number 4: Are Humanoid Robots the Future of Manufacturing? with Jens Mobius

    Can AI and humanoid robots actually transform manufacturing? Jonathan Green sits down with Jens Mobius (Managing Partner, Infinity Partners) on why Gen AI has gone from a nice-to-have to a defensive imperative for mid-market manufacturers, the "spaceship dilemma" of when to adopt, the staggering economics of humanoid robots ($10/hour today toward $1/hour by 2035 vs. $18/hour manual labor), the real bots already on factory floors (Figure 02 at BMW, Apptronik's Apollo at Mercedes, Tesla's Optimus), and the change-management discipline that makes adoption actually stick. Key Takeaways: • Gen AI is now a defensive imperative — 82% of knowledge workers already use it, so if your company hasn't set it up, it's running as shadow IT. You can still leapfrog with agents and RPA. • The "spaceship dilemma": if you wait for perfect tech you never leave the dock — you have to commit to a tool and start experimenting now, or you miss the humanoid-robot wave. • Humanoid economics are staggering — ~$10/hour today, dropping toward $1/hour by 2035, against $18/hour manual labor. General-purpose bots are versatile, so they hold value even when your strategy changes. • With Gen AI the sequence flips: tool-first, experiment, THEN build the process — the opposite of traditional IT. Just keep the experiments aligned to company priorities, not wild. • Adoption is change management: 6–8 leader-owned initiatives, biweekly "shared consciousness" meetings (McChrystal's Team of Teams), and 1:1 coaching spread best practice and keep costly experimenting to a minimum. Notable Quotes: "Gen AI is an absolute imperative to not miss the boat." — Jens Mobius "If you decide to catch the wave, you better paddle out there." — Jens Mobius Connect with Jens Mobius: LinkedIn: https://www.linkedin.com/in/jmobius/ Website: https://infinity-partners.co Enjoyed this? Follow The Artificial Intelligence Podcast and share it with someone in manufacturing.Connect with Jonathan GreenThe Bestseller: ChatGPT ProfitsFree Gift: The Master Prompt for ChatGPTFree Book on Amazon: Fire Your BossPodcast Website: https://artificialintelligencepod.com/ Subscribe, Rate, and Review: https://artificialintelligencepod.com/itunesVideo Episodes: https://www.youtube.com/@ArtificialIntelligencePodcast

    22min
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  5. Number 5: How Do You Diagnose Your Organization? with Jon Bassford

    Most business problems are misdiagnosed. Jonathan Green talks with operations and leadership consultant Jon Bassford about how to actually diagnose your organization — from management style to culture to broken systems — why the same idea gets ignored from the inside but embraced from an outside voice, and how to bring AI into a company without triggering fear or negativity. Key Takeaways: • Diagnose the whole organization — management style, operations, culture — not just the symptoms • The same idea is dismissed internally but embraced from an outside consultant; use that dynamic • Help leaders vet ideas and make decisions — don't just hand them more options • Introduce AI into the organization gradually (start in meetings, build comfort) • Don't let the team sink into negativity about AI — lead them through it Notable Quotes: "It's everything from our management style down to the smallest systems." — Jon Bassford "Someone brought the exact same idea from outside — and suddenly it landed." — Jon Bassford Connect with Jon Bassford: LinkedIn: https://www.linkedin.com/in/jonbassford Website: https://think-lateral.com Personal: https://johnbassford.com Enjoyed this? Follow The Artificial Intelligence Podcast and share it with a leader fixing their organization.Connect with Jonathan GreenThe Bestseller: ChatGPT ProfitsFree Gift: The Master Prompt for ChatGPTFree Book on Amazon: Fire Your BossPodcast Website: https://artificialintelligencepod.com/ Subscribe, Rate, and Review: https://artificialintelligencepod.com/itunesVideo Episodes: https://www.youtube.com/@ArtificialIntelligencePodcast

    29min
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Artificial Intelligence Podcast: ChatGPT, Claude, Midjourney and all other AI Tools episodes:

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The podcast currently has 404 episodes available.

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