
This article explores the Hollowing of the Human Abstraction Stack, a phenomenon where AI is rapidly automating the middle layers of knowledge work such as production, translation, and verification. While companies capture efficiency dividends by replacing these roles, the author warns that this dismantles the traditional apprenticeship pathway through which junior workers once developed professional judgment. This structural shift creates a crisis for households, as displaced professionals face occupational downgrading and the loss of income in an increasingly expensive economy. To remain economically viable, individuals must perform a Discernment Ascent, moving away from repeatable tasks toward higher-level human judgment and ethical accountability. Ultimately, the text argues that governments and institutions must take ownership of this transition to prevent social costs from falling solely on the family unit. 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 (™).
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