AI can make your work faster, sharper, and more polished. But there is a less obvious risk: your output may be improving faster than your underlying judgment.
In this episode of The Good Leadership Podcast, Charles Good explores what happens to professional judgment when AI increasingly handles the analysis, generation, and first-pass reasoning that people once had to do themselves.
The central question is not whether AI can help you make a better decision. It can. The more important question is whether using AI is making you a better decision-maker.
As high-quality generation becomes cheaper and more abundant, value increasingly shifts toward what remains scarce: the ability to evaluate evidence, recognize what is missing, challenge assumptions, make decisions under uncertainty, and learn from the results.
Charles examines the research behind how expertise and intuition actually develop, why feedback matters, and why years of experience do not automatically translate into better judgment—particularly in “wicked” environments where feedback is delayed, noisy, or difficult to interpret.
You’ll also learn why the default AI workflow can disrupt the natural learning process. When AI frames the problem and forms the first judgment, it becomes harder to determine what you originally believed and what reality should teach you when the outcome arrives.
Chapters
00:00 AI’s Impact on Career and Judgment
02:32 Why Judgment Is Becoming More Valuable
05:01 The Difference Between Improving Decisions and Improving Judgment
07:01 Conditions for Developing Expert Intuition
10:18 The Default AI Workflow and Its Risks
13:28 The Three-Line Judgment Protocol
15:09 Using AI to Stress Test Your Judgment
16:55 Implementation Intentions to Reinforce Better Habits
18:30 Building Judgment Through Experience and Reflection
19:10 Practical Steps to Develop and Protect Judgment in the AI Era
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