New AI Role Problem Definition Architect©

Greg Twemlow argues that the rise of artificial intelligence (AI) signals the end of traditional software, where humans write code to solve problems and the emergence of a new paradigm where AI serves as the operating system for everything. In this AI-driven future, humans will need to focus on defining problems clearly and precisely, a role Twemlow calls the "Problem Definition Architect." This new role requires a deep understanding of AI, ethical considerations, and strong communication skills. He suggests that individuals with backgrounds in business analysis and other fields are well-suited to transition into this critical role. Twemlow emphasizes the urgency of embracing this shift and its potential to reshape industries and create opportunities for individuals and companies. 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 (™).