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Human Work After AI

Human Work After AI

By: Chris Fanchi MBA
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What does it mean to lead, work, and make decisions in a world rebuilt by algorithms? Human Work After AI is a podcast about the future of white-collar work, where intelligence is no longer uniquely human and automation reshapes not just jobs, but responsibility, judgment, and meaning. Hosted by Chris Fanchi, the show features conversations with founders, executives, and operators navigating how AI is changing leadership, hiring, productivity, and trust inside real organizations.Chris Fanchi, MBA Economics
Episodes
  • The Transcript Economy: When Digital Exhaust Becomes Operational Leverage
    Feb 5 2026

    In this episode of Human Work After AI, Chris Fanchi speaks with Niel Robertson (CEO of Winslow) about an underappreciated shift: modern organizations produce massive “digital exhaust” through calls, chats, and documents, and AI is making that exhaust usable for the first time.


    They discuss why transcripts are becoming a core dataset inside companies, how “vibe coding” is changing what non-technical teams can build, what the post-SaaS debate misses about maintenance and extensions, and why HR is a natural early home for AI assistance. The conversation stays focused on leadership, trust, and what it takes to turn experimentation into durable capability.

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    47 mins
  • When Hiring Goes Automated, Integrity Becomes the Real Filter
    Jan 22 2026

    Most leaders want better hires, faster. But as AI reshapes recruiting, the deeper issue is what hiring systems are actually selecting for, and what they quietly reward.


    Chris Fanchi speaks with Fletcher Wimbush, CEO of Discovered, about end-to-end recruitment automation, structured talent assessment, and the tradeoffs leaders face as hiring becomes more scalable and less human-driven. They discuss bias, candidate experience, feedback risk, the future of the resume, and a provocative possibility: that removing humans from parts of the process may improve fairness and decision quality in certain roles.


    At the center is a durable leadership principle: as skills become easier to simulate, integrity, motivation, and judgment become harder to ignore.

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    42 mins
  • When Hiring Goes Automated, Integrity Becomes the Real Filter
    Jan 15 2026

    Most leaders want better hires, faster. But as AI reshapes recruiting, the deeper issue is what hiring systems are actually selecting for, and what they quietly reward.

    Chris Fanchi speaks with Fletcher Wimbush, CEO of Discovered, about end-to-end recruitment automation, structured talent assessment, and the tradeoffs leaders face as hiring becomes more scalable and less human-driven. They discuss bias, candidate experience, feedback risk, the future of the resume, and a provocative possibility: that removing humans from parts of the process may improve fairness and decision quality in certain roles.

    At the center is a durable leadership principle: as skills become easier to simulate, integrity, motivation, and judgment become harder to ignore.

    Show More Show Less
    42 mins
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