Hacker Valley Studio Thriving Beyond Human Labor with Context-Powered AI with Daniel Miessler
Dec 4, 2025
In this conversation, Daniel Miessler, a cybersecurity and AI expert and founder of Unsupervised Learning, explores the evolving landscape of work in an AI-dominated era. He argues that human labor itself may be an economic bubble, highlighting how businesses are thriving with fewer workers. Daniel discusses his experiences at Apple and the importance of building careers around problem-solving. He emphasizes context management in AI's potential and shares inspiring stories of youthful innovation, pointing toward a future where adaptation is key.
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Profit Growth With Fewer Workers
- Companies are producing record profits with fewer people because AI and automation massively boost productivity.
- Workers who adopt and complement AI will become far more valuable than those who don't.
From Apple ML To Independent Consultant
- Daniel Miessler learned machine learning after joining an Apple ML team and studied Andrew Ng's course to build his foundation.
- He left corporate work before ChatGPT and immediately shifted to independent consulting when generative AI surged.
Build Your Career Around Problems
- Build your career around problems by identifying missions, goals, metrics, challenges, strategies, and projects.
- Work in public and iterate on solutions even if they're partial to attract interest and feedback.