PwC Just Measured What I Named “the Judgment Gap”

In this article, Greg Twemlow highlights a significant alignment between his own theories and new global labour-market data from PwC. Both sources conclude that as AI automates execution, professional value is shifting away from mere output and toward high-level human judgment and creativity. Twemlow argues that this "judgment gap" requires organisations to deliberately reinvest the time saved by technology into better decision-making rather than simple cost-cutting. While PwC provides the statistical evidence for this shift, Twemlow offers a practical framework called the Context & Critique Rule to help individuals refine their discernment. Ultimately, the text suggests that in an AI-driven economy, the ability to verify and own outcomes is more valuable than the ability to produce content. This convergence of data and theory serves as a call for professionals to master the human oversight that machines cannot replicate. Read the article.About the Author - Greg Twemlow writes and teaches at the intersection of technology, education, and human judgment. He works with educators and businesses to make AI explainable and assessable in classrooms and boardrooms — to ensure AI users show their process and own their decisions. His cognition protocol, the Context & Critique Rule™, is built on a three-step process: Evidence → Cognition → Discernment — a bridge from what’s scattered to what’s chosen. Context & Critique → Accountable AI™. © 2025 Greg Twemlow. “Context & Critique → Accountable AI” and “Context & Critique Rule” are unregistered trademarks (™).