Challenging AI Assumptions

InnovationAIChallenging AI AssumptionsByJohn Werner,Contributor.Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AIFollow AuthorMay 30, 2026, 07:00am EDT--:-- / --:--This voice experience is generated by AI. Learn more.This voice experience is generated by AI. Learn more.digital composite robotgettyWhat do we assume about artificial intelligence that might be holding us back from getting more centered on how to navigate the future? What could help us with collaborative models that put our societies in a better place to integrate something that’s been compared to electricity, or fire, in its global impact?As the agentic future approaches, we see more of what AI is capable of. In the earlier days, there was the “Watson” era: the chatbot teaching us that it can recall any fact from the haystack of a knowledge base, and beat humans at calculation and deterministic thinking.Now, agents are taking us beyond this simple premise, into the uncharted waters where the AI is actually going to do things for us, begging the question: what will it do, and how will we work together with non-human partners, assistants and collaborators?So the assumptions themselves are valuable. They help us to put together a road map – where we want to go, where we don’t want to go, and ultimately, where we are going.A Boston ConferenceAt this year’s April event for Imagination in Action, I sat in on a panel where the group explored some of the assumptions that might get in the way of clear-eyed assessment, or ideas that may be a little off the mark for figuring out a converged answer to AI development. (Disclaimer: April’s IIA event is an annual conference that I help to facilitate.)MORE FOR YOUPanelist Ayush Chopra, an MIT PhD candidate, started by taking on the very core idea that an AI agent, by itself, constitutes an “intelligent” force that has the answers within it.“A lot of the agents today are b...