Thriving Beyond Human Labor with Context-Powered AI with Daniel Miessler

The real disruption isn’t AI replacing humans, it’s the shocking possibility that human labor was the economic bubble all along.

In this episode, Ron Eddings sits down with Daniel Miessler, founder of Unsupervised Learning and longtime security leader, to break open why companies are hitting record profits with shrinking workforces, and what that means for your future. Daniel shares how AI agents, context management, and his Telos problem-first framework are reshaping what it means to create value in the modern economy. From Apple to Human 3.0, Daniel explains why building in public, learning fast, and solving real problems are the ultimate career edge in an AI-powered world.

Impactful Moments: 00:00 - Introduction 02:00 - Jobless profit boom accelerates 05:00 - Daniel's AI journey at Apple 08:00 - Building careers around problems 12:00 - AI bubble or timing problem 15:00 - Nine-year-old codes app in two hours 18:00 - Human labor is the bubble 22:00 - Context management changes everything 26:00 - Adaptation equals survival

Links: Daniel’s Website: danielmiessler.com/ Daniel’s Github: https://github.com/danielmiessler/ Daniel’s LinkedIn: https://www.linkedin.com/in/danielmiessler/

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