Human Work After AI

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.

Human Work After AI is a business podcast hosted by Chris Fanchi, MBA, with 25 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Chris Fanchi, MBA hosts Human Work After AI, a business show with 25 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Episode #1

  How AI Reshapes Manufacturing Leadership Without Removing Human Accountability

  Mar 25, 202629 minS2

  <p>AI is changing manufacturing, but the deeper story is about leadership. As more work becomes automated, the central questions are no longer just technical. They are human: how to communicate change, how to keep teams accountable, and how to adapt without breaking trust.</p><p><br></p><p>In this episode, Chris Fanchi speaks with Randy Carr, CEO of World Emblem, about leading a global manufacturer through disruption, lean transformation, and rapid investment in technology. Randy explains why he sees AI as part of company culture, why leaders must communicate clearly when jobs feel threatened, and why underinvestment in...

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  Episode #23

  AI Analytics Without the Dashboard: Trust, Change Management, and Real Adoption

  Feb 12, 202634 minS1

  <p>AI adoption doesn’t break where most people think it breaks. It often fails after the demo, when the organization has to mobilize new workflows, new decision rhythms, and new trust mechanisms.</p></br><p>In this episode, Philip Odelfelt, CEO of Datavations, explains how advanced analytics platforms earn the right to influence real executive decisions: by turning fragmented data into a credible source of truth, continuously validating signal quality, and reducing manual work without pretending judgment and relationships can be automated away. </p></br><p>We discuss trust as a competitive edge, the shift beyond dashboards toward more co...

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  Episode #22

  The Transcript Economy: When Digital Exhaust Becomes Operational Leverage

  Feb 5, 202647 minS1

  <p>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.</p><p><br></p><p>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...

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  Episode #21

  When Hiring Goes Automated, Integrity Becomes the Real Filter

  Jan 22, 202642 minS1

  <p>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.</p><p><br></p><p>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.</p><p><br></p><p>...

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  Episode #20

  When Hiring Goes Automated, Integrity Becomes the Real Filter

  Jan 15, 202642 minS1

  <p>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.</p><p>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.</p><p>At the center is a durable...

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