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

Can AI help your business stand out — or does it just make everyone sound the same? Jonathan Green talks with Josh Lowman, founder of category-design studio Goldfront, about creating real categorical differentiation, going all-in on AI without gutting your team, and why human feeling is the one thing the machines can't fake.

Key Takeaways:
• Don't differentiate incrementally ("faster, more features") — create a real category
• Being first in a category (or obsessively serving one customer) makes you irreplaceable
• You can adopt AI without gutting your team — give everyone their own agent and protect jobs while revenue holds
• AI drives a "race to similarity" (AI slop); human feeling is the differentiator
• Automate the functional "money" work; keep the human "love" work — that's what customers won't pay a robot for

Notable Quotes:
"The real way to differentiate and persuade another human being is to show them that you feel something." — Josh Lowman
"If we keep revenue flat, no one is getting laid off — that's my promise to you." — Josh Lowman

Connect with Josh Lowman:
LinkedIn: https://www.linkedin.com/in/joshlowman
Website: https://goldfront.com

Enjoyed this? Follow The Artificial Intelligence Podcast and share it with a founder trying to stand out.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

What does AI actually change in heavy industry? Jonathan Green talks with Rick Carlisle — a lifelong technologist who started coding in COBOL — about AI in IT and the oil fields: using AI to add layers of safety rather than replace them, catching patterns in alarm and monitoring data, and why the data-center boom is even reviving nuclear power.

Key Takeaways:
• Use AI to add layers of safety — don't trade existing safety for efficiency
• AI shines at spotting patterns in alarm/monitoring data that humans miss
• The data-center power demand is reviving nuclear
• AI's real value is augmentation and speed, not replacing proven systems
• "Artificial" is a label — the underlying reality (and the safety stakes) hasn't changed

Notable Quotes:
"We throw the term 'artificial' on it, but the biology hasn't changed." — Rick Carlisle
"I'd rather use AI to add more layers of safety than to replace the existing layers." — Jonathan Green

Connect with Rick Carlisle:
LinkedIn: https://www.linkedin.com/in/rickcde

Enjoyed this? Follow The Artificial Intelligence Podcast and share it with someone in IT or heavy industry.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

Is AI quietly erasing the hands-on knowledge that keeps our infrastructure running? Jonathan Green talks with Keith Schafer — part of multiple generations in critical power and engine infrastructure — about what happens when we over-trust AI, why "artificial intelligence" isn't truly intelligent, and how the expertise powering the coming wave of AI data centers is the very knowledge we're at risk of losing.

Key Takeaways:
• Over-relying on AI erodes hard-won institutional knowledge and hands-on troubleshooting instincts
• "AI" isn't truly intelligent — blindly trusting it (like following GPS off the road) is dangerous in the physical world
• The infrastructure powering AI data centers depends on expertise that's quietly disappearing
• Safety and reliability come first — some systems simply have to run (engines at 20 below)
• Capture multi-generational knowledge before it walks out the door

Notable Quotes:
"The first time I used GPS, it told me to drive off [the road]." — Keith Schafer
"As cool as it is, it's not truly artificial intelligence." — Keith Schafer

Connect with Keith Schafer:
LinkedIn: https://www.linkedin.com/in/keith-w-schafer-19833a22

Enjoyed this? Follow The Artificial Intelligence Podcast and share it with someone who keeps the lights on.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

We think of AI as living in the cloud — but it runs on physical chips, factories, and supply chains that break in the real world. Jonathan Green talks with supply-chain expert Mohannad Gomaa about the logistics of AI: why modern supply chains are dangerously brittle, how AI helps spot trends and de-risk sourcing, and why resilience — not just efficiency — is the strategy that matters now.

Key Takeaways:
• Modern supply chains are brittle — the tiniest disruption can cascade into shortages
• AI helps you spot trends and decide where (and from whom) to source
• Forecasting that stops at volume level leads to costly misallocation
• Diversify your supplier portfolio; don't optimize purely for cost
• Resilience, not just efficiency, is the supply-chain strategy for the AI era

Notable Quotes:
"Supply chain models are very brittle to the tiniest disruption." — Mohannad Gomaa
"It's that resilience part — one of your supply chain strategies — that's what really matters." — Mohannad Gomaa

Connect with Mohannad Gomaa:
LinkedIn: https://www.linkedin.com/in/mohannadhazemgomaa
Website: https://mgostrategy.com/

Enjoyed this? Follow The Artificial Intelligence Podcast and share it with someone running operations or a supply chain.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

Is AI making the job market better or worse? Jonathan Green talks with executive job-search expert and Army veteran Dante Crowther about breaking through a market where hundreds apply for every role — why AI screening can filter out the best candidate, why human connection still wins, and how to bet on yourself when the algorithms are stacked against you.

Key Takeaways:
• The problem isn't too few jobs — it's the signal-to-noise of too many applicants per role
• AI hiring filters can screen out the most qualified person because they read keywords, not people
• The nonverbals and judgment that land jobs are exactly what AI can't replicate
• Networking is the edge — most real opportunities come from human connection, not applications
• Bet on yourself: your time and what you offer are more valuable than you think

Notable Quotes:
"Good luck insulting me — I'm a salesman, I'll sit down and talk with anyone." — Dante Crowther
"If you believe what you have to offer is that valuable, you should bet on yourself." — Dante Crowther

Connect with Dante Crowther:
LinkedIn: https://www.linkedin.com/in/dante-crowther
Website: https://executivejobsearch.net/

Enjoyed this? Follow The Artificial Intelligence Podcast and share it with someone navigating the job market.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