Staying Ahead: Strengthening Tomorrow's U.S. AI and AI-Enabled Workforce - A CSET Research Agenda. Published November 2021. Author Diana Gehlhaus

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Staying Ahead

Strengthening Tomorrow's U.S. AI and AI-Enabled Workforce

Diana Gehlhaus

November 2021

This research agenda provides a roadmap for the next phase of CSET’s line of research on the U.S. AI workforce. Our goal is to assist policymakers and other stakeholders in the national security community to create policies that will ensure the United States maintains its competitive advantage in AI talent. We welcome comments, feedback and input on this vision at cset@georgetown.edu.

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The acceleration of artificial intelligence adoption has profoundly changed how businesses, individuals, and governments conduct their daily lives. As this trend continues, having a globally competitive AI and AI-ready workforce is essential to future U.S. national security and economic competitiveness. This includes both adequately training America’s workforce for AI jobs and preparing youth and adults for the changing nature of jobs resulting from AI and other emerging technologies.

This research agenda provides a roadmap for the next phase of CSET’s line of research on the U.S. AI workforce. Our goal is to help policymakers and other stakeholders in the national security community to create policies that will ensure the United States maintains its competitive advantage in AI talent.

Specifically, this next phase of research will:

  1. Explore ways the United States can secure, strengthen, and maintain global leadership in AI talent; and
  2. Offer a path forward to ensure the prosperity of all U.S. workers in a world where economic growth and security is dependent on leadership in AI and other emerging technologies.

This is a full vision for the research we believe is needed. We hope to address as much of this work as possible over the next two years.

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Staying Ahead

U.S. AI Workforce: Policy Recommendations

 October 2021

This policy brief addresses the need for a clearly defined artificial intelligence education and workforce policy by providing recommendations designed to grow, sustain, and diversify the U.S. AI workforce. The authors employ a comprehensive definition of the AI workforce—technical and nontechnical occupations—and provide data-driven policy goals. Their recommendations are designed to leverage opportunities within the U.S. education and training system while mitigating its challenges, and prioritize equity in access and opportunity to AI education and AI careers.

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.

U.S. Demand for AI-Related Talent

 August 2020

The U.S. government and industry both see artificial intelligence as a pivotal technology for future growth and competitiveness. What skills will be needed to create, integrate, and deploy AI applications? This data brief analyzes market demand for AI-related jobs to determine their educational requirements, dominant sectors, and geographic distribution.