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Yin-Yang of Work and Learning: A Shift 200 Years in the Making
Season 2
Episode 22
Published 1 year, 2 months ago
Description
Greg Twemlow's article discusses the urgent need to overhaul education and workforce training in light of Agentic AI. It argues that traditional education models are obsolete and advocates for a shift toward personalised, experiential, and continuous learning. The author introduces the concept of "meta-skills," emphasizing the importance of prompt engineering, AI orchestration, and ethical oversight over traditional domain expertise. Twemlow envisions a future where learning is compressed, modular, and integrated with work through micro-credentials and AI-driven mentorships. Ultimately, the piece calls for a reimagining of life where individuals orchestrate AI capabilities to achieve meaningful outcomes, rather than being passive recipients of technological change. The author proposes a new educational timeline that emphasises creativity, AI literacy, leadership, and lifelong learning to prepare individuals for this new reality. Read the article on Medium.
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 (™).
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 (™).