Geoff Gibbins, Founder of Human Machines, on Building Human-AI Enterprises & Thriving in the Age of AI

Geoff Gibbins, Founder of Human Machines, on Building Human-AI Enterprises & Thriving in the Age of AI

  • Many leaders believe AI’s promise hasn’t fully materialized yet.
  • There is a gap between expectations—such as mass job losses—and AI’s actual, incremental impact.

Podcast

Overview

The latest episode of The Brand Called You features an insightful conversation between Ashutosh Garg and Geoff Gibbins, Founder of Human Machines, a human-AI transformation company focused on helping organizations bridge the gap between people and intelligent systems.

Geoff shares practical, real-world insights into how AI is reshaping work, leadership, and decision-making. He explains why most AI initiatives fail, what successful human-AI collaboration truly looks like, and how leaders can future-proof their organizations without losing sight of human strengths like judgment, discernment, and accountability.

00:00:45 – Why Do Leaders Still See AI as a Future Problem?

  • Many leaders believe AI’s promise hasn’t fully materialized yet.
  • There is a gap between expectations—such as mass job losses—and AI’s actual, incremental impact.
    Research increasingly shows that AI may add jobs in many countries, reshaping work in unexpected ways.

00:02:32 – What Does an Effective Human-AI Enterprise Look Like?

  • Successful organizations treat AI as a collaborator, not just a tool.
  • Walmart’s AI-driven product design process is cited as an example of redesigning work, not merely adopting software.

00:04:22 – What Are Liquid Organizations, and Why Do They Matter?

  • Liquid organizations form flexible teams around outcomes, not rigid hierarchies.
  • Cross-functional agility becomes essential in the AI era.

00:05:27 – Why Do 95% of Enterprise AI Pilots Fail?

  • The biggest reason is mismanaged expectations.
  • Organizations buy tools expecting instant transformation without redesigning workflows or preparing people.

00:06:47 – What Is “Pilot Purgatory”?

  • Warning signs include forced adoption, lack of organic pull, and measuring usage instead of outcomes.
  • Pilots stall when organizations fail to rethink how work gets done.

00:08:19 – What Are Learning Flywheels?

  • Learning flywheels allow humans and AI to improve together.
  • Human feedback improves AI performance, while AI enhances speed and quality over time.

00:10:33 – Which Human Skills Matter Most in the AI Age?

  • Execution skills decline in importance; judgment, system design, and collaboration rise.
  • Understanding how machines think becomes a foundational skill.

00:12:19 – AI-First vs. AI-Second Thinking

  • Leaders should start with outcomes—not technology.
  • Sometimes AI is the solution; sometimes it isn’t.

00:13:39 – Why People-Led Transformations Win

  • Technology enables change, but people drive it.
  • Successful transformations redesign work and prioritize human factors.

00:15:24 – How Leaders Must Learn, Unlearn, and Relearn

  • Leadership shifts from having answers to asking better questions.
  • Judgment, situational awareness, and outcome focus become critical.

00:17:21 – Accountability in Human-AI Decisions

  • AI may advise, but humans remain accountable.
  • Organizations must pre-define ownership and ethical boundaries.

RESOURCES:

Learn more about Geoff Gibbins: LinkedIn 

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  • Many leaders believe AI’s promise hasn’t fully materialized yet. 
  • There is a gap between expectations—such as mass job losses—and AI’s actual, incremental impact. 
  • Research increasingly shows that AI may add jobs in many countries, reshaping work in unexpected ways.

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