Santiago Mutis

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Santiago Mutis was a Research Analyst at Georgetown’s Center for Security and Emerging Technology (CSET), where he focuses on the economic implications of the development of AI. Prior to joining CSET, Santiago worked as a management consultant at StratCo, a leading Latin American firm, looking to drive business transformations through strategic planning, analytics, product design and financial valuation initiatives in several industries and countries. He holds a Master’s degree in Technology Management from Georgetown University, an M.B.A. from Toulouse Business School, and a B.S. in Management with a minor in Journalism from Los Andes University. 

The U.S. AI Workforce

January 2021

As the United States seeks to maintain a competitive edge in artificial intelligence, the strength of its AI workforce will be of paramount importance. In order to understand the current state of the domestic AI workforce, Diana Gehlhaus and Santiago Mutis define the AI workforce and offer a preliminary assessment of its size, composition, and key characteristics. Among their findings: The domestic supply of AI talent consisted of an estimated 14 million workers (or about 9% of total U.S. employment) as of 2018.

Understanding AI activity in the private sector is crucial both to grasping its economic and security implications and developing appropriate policy frameworks. This data brief shows particularly robust AI activity in software publishing and manufacturing, along with a high concentration of companies in California, Massachusetts and New York.