Diana Gehlhaus was a Research Fellow at the Center for Security and Emerging Technology and the Senior Advisor for Talent in the Chief Digital and Artificial Intelligence Office (CDAO) at the U.S. Department of Defense under an Interdepartmental Personnel Act agreement with CSET. Previously, she was a doctoral fellow at the RAND Corporation, receiving her PhD in Policy Analysis from the Pardee RAND Graduate School. Diana’s research focuses on the intersection of tech and talent, including domestic talent pipelines in AI and other emerging technologies; workforce development and education policy; youth career and educational decision making; trends in employer hiring, recruiting, and retention; military and federal civilian talent management; and technology and telecommunications policy. Prior to RAND she was an economist and director of the Young American Prosperity Project at the Progressive Policy Institute, a policy analyst at the U.S. Export-Import Bank and an Economist for the Bureau of Labor Statistics. She has an M.A. in applied economics from Johns Hopkins University and a B.A. in mathematics and economics from Bucknell University. Diana’s media appearances include CNBC, Comcast Newsmakers, Wisconsin Public Radio, Nevada Public Radio and the Richard Fowler Show. Her research and commentary have been featured in The Hill, USA Today, Fortune, Washington Post and the Harvard Business Review blog, among other outlets. 

Related Content

Analysis

DOD’s Emerging Digital Workforce

October 2023

This report summarizes recent DOD digital workforce trends as an update to our 2021 report. We expanded our definition of AI talent to include data, analytics, software, and AI, referred to here as the… Read More

Analysis

The Race for U.S. Technical Talent

August 2023

Technical talent is vital to innovation and economic growth, and attracting these highly mobile workers is critical to staying on the cutting-edge of the technological frontier. Conventional wisdom holds that the defense community generally struggles… Read More

Analysis

China’s AI Workforce

November 2022

U.S. policies on artificial intelligence education and the AI workforce must grow, cultivate, attract, and retain the world’s best and brightest. Given China’s role as a producer of AI talent, understanding its AI workforce could… Read More

In an opinion piece for the Council on Foreign Relations, Research Fellow Diana Gehlhaus discussed why the United States needs to make AI education a priority. Read More

Community and technical colleges offer enormous potential to grow, sustain, and diversify the U.S. artificial intelligence (AI) talent pipeline. However, these institutions are not being leveraged effectively. This report evaluates current AI-related programs and the… Read More

Research Fellow Diana Gehlhaus calls for coordination across the DOD to cultivating talent who can advance the use of AI in an opinion piece for Defense One. Read More

Analysis

Staying Ahead

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… Read More

Data Visualization

AI Education Catalog

October 2021

Created through a joint partnership between CSET and the AI Education Project, the AI Education Catalog aims to raise awareness of the AI-related programs available to students and educators, as well as to help inform… Read More

In an opinion piece for The Hill, Research Fellow Diana Gehlhaus calls for a clear U.S. AI workforce policy if the U.S. wants to be the leader in AI talent drawing from her latest report. Read More

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… Read More

This policy brief, authored in collaboration with the MITRE Corporation, provides a new perspective on the U.S. Department of Defense’s struggle to recruit and retain artificial intelligence talent. The authors find that the DOD already… Read More

A globally competitive AI workforce hinges on the education, development, and sustainment of the best and brightest AI talent. This issue brief compares efforts to integrate AI education in China and the United States, and… Read More

A globally competitive AI workforce hinges on the education, development, and sustainment of the best and brightest AI talent. This issue brief provides an overview of the education systems in China and the United States,… Read More

Since the mid-2000s, China has consistently graduated more STEM PhDs than the United States, a key indicator of a country’s future competitiveness in STEM fields. This paper explores the data on STEM PhD graduation rates… Read More

This issue brief explores whether artificial intelligence and AI-related certifications serve as potential pathways to enter the U.S. AI workforce. The authors find that according to U.S. AI occupation job postings data over 2010–2020, there… Read More

Analysis

U.S. AI Workforce

April 2021

A lack of good data on the U.S. artificial intelligence workforce limits the potential effectiveness of policies meant to increase and cultivate this cadre of talent. In this issue brief, the authors bridge that information… Read More

Analysis

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… Read More