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🎧 What AI Can’t Replace, Automate or Protect?
Podcast AI in Sales / PodCast / Jun 20, 2026 / Posted by Dilip Chetan / 0

🎧 What AI Can’t Replace, Automate or Protect?

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Dilip Chetan, founder of Recursion Lab and creator of the Defensible Zone framework, argues that leaders racing to automate ask the wrong question — the smart move isn’t “What can we automate?” but “What human value must we protect?” In this episode he maps the moats AI erodes and the judgment, trust, and reasoning it still can’t replace. Drawing on 20 years across Google, Meta, Oracle, and Salesforce, Chetan gives sales leaders a practical way to decide what stays human.

This episode answers:

  • Is AI actually causing tech job losses, or being used as an excuse?
  • What is the Defensible Zone framework, and how do you apply it?
  • How do you test whether your competitive moat is real?
  • Should you automate sales outreach, or keep first contact human?
  • Where should AI live — upstream on decisions, or downstream on grunt work?
  • Which companies will thrive with AI, and which will struggle?

Ready to find the work AI can’t reach? Book a free consultation with Dilip Chetan at julianlighton.com.

Visit us on Apple Podcast. You can also find SalesPOP! on all major podcast stations.

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About Author

Dilip has spent more than 20 years in tech, including at Google, Meta, Oracle, and Salesforce. At Google, he worked on AI infrastructure, so he has seen both the power and the limitations of AI firsthand. He could bring a perspective on where human judgment, trust, and strategic thinking remain defensible as AI automates more sales, marketing, and business work. Dilip is the founder of Recursio Lab and creator of the Defensible Zone framework, a practical approach to helping professionals understand where their natural strengths meet real market demand in an AI-disrupted world. After more than 20 years in the tech industry, including experience with AI infrastructure and leadership roles at major technology companies, Dilip now helps individuals and organizations think clearly about what AI can and cannot replace, and how humans can continue to create meaningful value.

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About Author

Dilip has spent more than 20 years in tech, including at Google, Meta, Oracle, and Salesforce. At Google, he worked on AI infrastructure, so he has seen both the power and the limitations of AI firsthand. He could bring a perspective on where human judgment, trust, and strategic thinking remain defensible as AI automates more sales, marketing, and business work. Dilip is the founder of Recursio Lab and creator of the Defensible Zone framework, a practical approach to helping professionals understand where their natural strengths meet real market demand in an AI-disrupted world. After more than 20 years in the tech industry, including experience with AI infrastructure and leadership roles at major technology companies, Dilip now helps individuals and organizations think clearly about what AI can and cannot replace, and how humans can continue to create meaningful value.

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