Hamilton Mann is an AI researcher, technology executive, and award-winning author. He is Executive Chairman and President of the Artificial Integrity Institute, lectures at INSEAD and HEC Paris, and mentors at MIT's Priscilla King Gray Center. In 2025 he received the Thinkers50 Distinguished Achievement Award for Digital Thinking. He is the author of the acclaimed Artificial Integrity: The Paths to Leading AI Toward a Human-Centered Future, and his new book, Trias Algorithmic

Anthropic recently published a study presented as evidence about AI’s early labor-market impacts. Yet the paper’s empirical core comes from a much narrower source than its title suggests: Claude conversations and API traffic. That makes the study much less decisive as a measure of AI’s labor-market impacts across the economy.

There has been considerable speculation recently about the potential of generative AI to significantly boost worker productivity. However, among the challenges companies face when deploying genAI, there is one that is particularly unique to business and applies to any solution an organization might consider deploying: the realization of return on investment.

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