Most people know they should be using AI more. Almost nobody knows how to actually get there. Pete Larkin, GTM engineer, AI builder, and host of the AI Deep Dive podcast, has done the unglamorous work of figuring it out through time-blocked late nights, robotics projects with his kids, and a family operating system he's building to become a better father and spouse.

In this conversation, Pete and Paxton walk through the most common barriers to AI adoption, pulled directly from a real survey, and tackle each one head-on with practical, honest advice.

Key takeaways:

  • Time is the #1 blocker: Time-block 45 minutes daily. Leaders must build AI learning into work hours, not personal time.
  • Start with $20: Claude Pro at $20/month is Pete's first recommendation. Don't overthink cost until you're deep into API builds.
  • Hallucinations are dropping, but taste still matters: The real skill is knowing when to trust AI output and when to verify it.
  • The churning butter take on dependency: Some skills will go obsolete and that's fine. Protect your critical thinking by using AI as a thought companion, not a shortcut.
  • The TIME framework: Taste, Impact, Matching, and Elevate offers a practical lens for deciding how and when to deploy AI versus human judgment.

Resources: 

About Pete Larkin: Pete Larkin began his career in film, running a successful production company before realizing he wanted more influence over the strategy behind the work. That led him into marketing, where his film background and training from one of the nation’s top ad schools helped him build a career as a marketing executive, entrepreneur, and creator.

Today, he has evolved again... this time into GTM engineering and AI orchestration. He now helps organizations and individuals navigate the fast-moving world of AI through agents, workflows, workshops, and consulting.

Timestamps:

  • 03:32 – The #1 barrier to AI adoption: time, and how to work around it 
  • 10:45 – Hallucinations and trust: knowing when to double-check AI's work 
  • 17:40 – The TASTE framework for winning with AI 
  • 20:02 – Inside Pete's AI side projects, from a family "operating system" to a daily newsletter podcast

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