Nine Stages of AI Evolution by Greg Twemlow

Greg Twemlow's article, "Charting the Future: Nine Stages of AI Evolution," explains the concept of Agentic AI, a new phase in the evolution of Artificial Intelligence (AI) that focuses on goal-oriented tasks within a structured enterprise environment. Unlike Generative AI, which simply responds to prompts, Agentic AI actively pursues objectives, making it ideal for applications like supply chain management. The article outlines the benefits of Agentic AI for businesses, including enhanced efficiency, scalability, and improved decision-making. It also discusses the technical aspects of developing and implementing Agentic AI systems, the role of human managers in overseeing these systems, and the potential for Agentic AI to lead to more advanced forms of AI, such as Autonomous General Intelligence (AGI). 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 (™).