The new playbook for building 10x employees

Hello, friends. Our latest podcast episode explores the playbook for using AI to make teams far more capable, not just more efficient. We look at personalized event design, rapid prototyping through vibe coding, and leadership principles for the AI era. The bigger lesson is that real AI progress comes from applying it consistently with intention. Thank you to our friends at Deel for sponsoring this week’s show. And as always, let us know if you have any feedback. Jason Hiner

How to turn every employee into a 10x engineer

Stefan Weitz thinks AI should not just make companies faster. It should make every employee dramatically more capable.

In this episode of The Deep View: Conversations, the HumanX CEO explains how he’s putting that idea into practice, starting with his own team.

HumanX calls itself the most important AI conference of the year, but what makes it stand out is how intentionally it’s being built. Stefan and his team are rethinking the entire event experience for 2026, using AI to create a more personalized journey for every attendee, from curated sessions to smarter networking and discovery.

In this episode, we talk about:

  • Building a new kind of conference in the AI era

  • Using vibe coding for rapid prototyping

  • Management principles for the AI era

  • Turning every worker into a 10x employee

  • The AI tool that’s blowing Stefan’s mind

But this conversation goes beyond events. It’s really about leadership in the age of AI.

Along the way, Stefan offers a clear view of what it takes to build an organization that can actually apply AI, not just talk about it. He also shares a leadership principle that has shaped his approach.

If you’re thinking about how to scale impact across your team, or how to move from AI curiosity to real execution, this conversation delivers practical insights you can use right away.

Subscribe to The Deep View: Conversations podcast in any podcast player for more unique conversations with the brightest minds solving the biggest challenges in AI. You can also subscribe on YouTube.

Jason Hiner, Editor-in-Chief

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