In Episode 50 of All in on Data Pod, David Gleason and Peter Memon tackle one of the most overlooked challenges in artificial intelligence: how workers develop judgment in the AI era. As AI automates repetitive tasks, companies may unintentionally eliminate the very experiences that build critical thinking, leadership skills, and decision-making capability. The hosts explore the limitations of human-in-the-loop AI oversight, the long-term risks to talent pipelines, and why education must refocus on systems thinking, logic, history, science, and creativity. They also discuss quantum computing predictions and the growing threat of deepfakes eroding public trust. If you're interested in AI workforce strategy, AI governance, critical thinking skills, or the future of leadership in an AI-driven economy, this episode delivers deep insight.

Chapters:
00:00:00 Episode 50 Milestone & Reflection
00:05:06 Introducing Judgment in the AI Era
00:07:20 The AI Paradox: Automation vs Judgment
00:09:31 Human-in-the-Loop Failure Modes
00:12:41 Why Grunt Work Builds Real Expertise
00:21:26 The Leadership Pipeline Risk
00:23:52 Creation vs Evaluation: How Thinking Changes
00:35:35 What It Actually Means to “Think”
00:39:24 Designing a Curriculum for Critical Thinking
00:55:15 Lightning Round: Quantum Computing & Deepfakes

About All In on Data:
We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI.

Follow Us for More Content:
David Gleason's LinkedIn: https://linkedin.com/in/david-r-gleason
Peter Memon's LinkedIn: https://linkedin.com/in/petermemon
AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data
Spotify: http://bit.ly/44BhxGs
Apple Podcast: http://bit.ly/3GHBe6i