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

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
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Podcast Website: https://artificialintelligencepod.com/  
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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

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