Sam Ransbotham

Sam Ransbotham is a professor of information systems at the Carroll School of Management at Boston College and serves as AI and Business Strategy editor at MIT Sloan Management Review, one of the most widely read management research publications in the world. In that editorial role, he has been one of the primary architects of the conversation between academic AI research and organizational practice for over a decade.

His academic research at Boston College focuses on the organizational and strategic dimensions of information technology and artificial intelligence, specifically how firms adopt, integrate, and extract value from data and AI systems. He has led and co-authored several large-scale research studies at MIT Sloan Management Review examining the state of AI adoption across industries, including annual surveys of thousands of executives and managers on their AI strategies, capabilities, and challenges.

These studies, conducted in partnership with BCG (Boston Consulting Group) and published as the "Artificial Intelligence Global Executive Study," have become among the most cited sources on enterprise AI adoption patterns, documenting consistently that the gap between AI enthusiasm and AI deployment is organizational, not technical. That finding is a direct empirical grounding for the AI First Principles' core diagnosis.

Ransbotham earned his PhD in information systems from Georgia Tech and has published research in major journals including Management Science, MIS Quarterly, and Information Systems Research.

He co-hosts Me, Myself, and AI, the MIT Sloan Management Review podcast that has become one of the most widely listened-to conversations on enterprise AI strategy. The podcast, produced in partnership with BCG, conducts long-form interviews with senior executives at companies actively deploying AI at scale, surfacing practical lessons that academic research and consulting reports often miss. His research interests beyond AI adoption span cybersecurity, the social structures of online knowledge production, and the strategic implications of digital platforms; that broader information systems perspective informs his treatment of AI as a problem of organizational design rather than a standalone technical question. His writing and editing at MIT Sloan Management Review shape what executives in many of the world's largest organizations read about AI on a weekly basis, and his endorsement of practitioner-oriented frameworks like the AI First Principles reflects the same emphasis on operational reality that has driven his research throughout his career.

Sam Ransbotham's contribution to the AI First Principles movement is empirical grounding. His decade of large-scale research at MIT Sloan Management Review has produced the most rigorous, consistently replicated data on why AI initiatives fail in practice. Study after study has found the same result: organizations stall on AI not because the technology doesn't work but because they lack the organizational structures, accountability frameworks, and design practices that would make AI deployment successful.

That finding is the empirical foundation beneath the entire AI First Principles framework. As AI editor at the publication that has tracked this pattern most carefully, Ransbotham brings research credibility to the movement's central claim. His endorsement confirms that People Own Objectives and Build From User Experience are not philosophical positions but documented patterns from thousands of organizational deployments.