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

We think of AI as living inside computers — but it's reshaping the very physical world of fashion and manufacturing. Jonathan Green talks with operations and supply-chain advisor Omnya Elshafey about how AI is changing fashion: why the industry still isn't fully automated, how to keep warehouses lean, and how small companies can run an entire supply chain through disruption they can't control.

Key Takeaways:
• AI is reshaping fashion and manufacturing in the physical world, not just on screens
• Fashion still isn't fully automated — there's huge room (and friction) for AI
• Keep as little inventory in your warehouses as possible — lean beats bloated
• Global shocks (like the Middle East conflict) hit supply chains you can't control — build resilience
• Even a small company can manage its entire supply chain with the right systems

Notable Quotes:
"We want to keep as little stuff in our warehouses as possible." — Omnya Elshafey
"There's a lot of things out of our control that no one can predict." — Omnya Elshafey

Connect with Omnya Elshafey:
LinkedIn: https://www.linkedin.com/in/omnya-elshafey
Website: https://www.omneaadvisory.com

Enjoyed this? Follow The Artificial Intelligence Podcast and share it with someone in fashion, manufacturing, or operations.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 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 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

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 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

Can AI fix what's broken inside pharma — or is it too high-stakes and too guarded to let AI in? Jonathan Green talks with pharmaceutical expert Wendy Rockwell about the realities of bringing AI into one of the most regulated, security-conscious industries on earth: million-dollar legacy systems, painfully long buying cycles, and the trust problem when AI gives you two different answers to the same question.

Key Takeaways:
• Pharma is high-stakes — a wrong answer isn't an inconvenience, it's a risk
• Legacy systems cost millions and fragment across regions, making AI adoption hard
• AI's inconsistency (same question, different answers) is a real blocker in regulated work
• The industry is extremely guarded — security and internet restrictions slow everything
• Long buying cycles mean AI has to prove itself before it gets in the door

Notable Quotes:
"You can ask the same question twice and get two different answers." — Wendy Rockwell
"We're really, really, really guarded." — Wendy Rockwell

Connect with Wendy Rockwell:
LinkedIn: https://www.linkedin.com/in/wendy-rockwellmba

Enjoyed this? Follow The Artificial Intelligence Podcast and share it with someone in healthcare or pharma.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

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 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