Podcast thumbnail for Human Work After AI - Startups, AI, and the Future of Work

Human Work After AI - Startups, AI, and the Future of Work

Claim This Podcast

by Chris Fanchi, MBA

24 episodes
Updated Daily
Accepts GuestsHas Sponsors

Podcast Overview

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.

Language

🇺🇲

Publishing Since

8/5/2025

2 verified contact emails on file for Human Work After AI - Startups, AI, and the Future of Work

Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.

Recent Episodes

Episode thumbnail for How AI Reshapes Manufacturing Leadership Without Removing Human Accountability

March 25, 2026

How AI Reshapes Manufacturing Leadership Without Removing Human Accountability

<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 technology can become a long-term strategic risk.</p><p><br></p><p>They discuss the link between lean systems and AI adoption, the importance of strong data structure, where automation is moving fastest, and why human value may increasingly center on dexterity, relationships, judgment, and sales. The conversation also explores a subtler consequence of AI: speed can increase output while weakening memory, reflection, and managerial clarity if leaders are not careful.</p><p><br></p><p>This episode sits squarely inside the larger Human Work After AI project: understanding how organizations can adopt AI without losing their people, their culture, or their sense of responsibility.</p><p><br></p><p>Guest: Randy Carr, CEO, World Emblem</p><p>World Emblem: https://www.worldemblem.com/</p>

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

February 12, 2026

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

Philip Odelfelt, CEO of Datavations, shares how AI analytics build trust and drive adoption by transforming data into truth and reducing manual work, in this interview.

Episode thumbnail for The Transcript Economy: When Digital Exhaust Becomes Operational Leverage

February 5, 2026

The Transcript Economy: When Digital Exhaust Becomes Operational Leverage

Chris Fanchi interviews Niel Robertson, CEO of Winslow, exploring how AI transforms organizational "digital exhaust" into operational leverage through transcripts and "vibe coding."

24 total episodes available

Recent guests on Human Work After AI - Startups, AI, and the Future of Work

Guests from recent episodes — sign up to see every guest that has ever appeared on this show.

Philip Odelfelt

Guest

Niel Robertson

Guest

Fletcher Wimbush

Guest

Eric Helitzer

Guest

Chris Samaras

Guest

Andrew Hewitt

Guest

John Betancourt

Guest

Alex Teplitxky

Guest

Connor Norwood

Guest

Chandan Maruti

Guest

Deep-dive analytics for Human Work After AI - Startups, AI, and the Future of Work

Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is Human Work After AI - Startups, AI, and the Future of Work?

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.

How often does this podcast release new episodes?

This podcast updates daily.

Where can I listen to this podcast?

This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Yes, this podcast regularly features guests.

Legal Disclaimer

Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.

All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.

We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.

While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.

By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.