This research explores the global AI workforce and policies that affect it, including immigration, education pipelines and talent recruitment and retention—with particular emphasis on the national security workforce. We explore the supply and demand of the AI workforce in the United States and China, the state of AI education in the United States and China, technical talent migration trends within the United States, strengthening DOD’s AI workforce and access to talent, and preparing all U.S. workers to compete and succeed in an AI-enabled world. We also look at the role of non-traditional educational pathways in growing the AI workforce and the status and immigration dynamics of top AI-research talent.

Reports

Biotech Manufacturing Apprenticeships

Luke Koslosky, Steph Batalis, and Ronnie Kinoshita

| August 2025

This report examines lessons from the North Carolina Life Sciences Apprenticeship Consortium for pharmaceutical and biomanufacturing workforce development, and analyzes how apprenticeship programs help address workforce shortages in emerging tech fields. It offers a practical framework with important considerations for designing and launching programs, and serves as a resource for...

Reports

The Future of Work-Based Learning for Cyber Jobs

Ali Crawford

| July 2025

This roundtable report explores how practitioners, researchers, educators, and government officials view work-based learning as a tool for strengthening the cybersecurity workforce. Participants engaged in an enriching discussion that ultimately provided insight and context into what makes work-based learning unique, effective, and valuable for the cyber workforce.

Reports

Top-Tier Research Status for HBCUs?

Jaret C. Riddick and Brendan Oliss

| April 2025

The Carnegie Classification of Institutions of Higher Education is simplifying its top-tier R1 research criteria this year. Recognizing the strategic importance of historically Black colleges and universities, Congress passed Section 223 of the 2023 National Defense Authorization Act to increase defense research capacity by encouraging the most eligible among these...

Promises and Progress

Ali Crawford

| November 20, 2025

The U.S. AI Action Plan is built on three familiar pillars—accelerating innovation, expanding infrastructure, and maintaining technological leadership—but its real test depends on education and training. To that end, the Trump Administration has linked the plan to two executive orders issued in April 2025: Executive Order 14277, “Advancing Artificial Intelligence...

Riding the AI Wave: What’s Happening in K-12 Education?

Ali Crawford and Cherry Wu

| April 2, 2024

Over the past year, artificial intelligence has quickly become a focal point in K-12 education. This blog post describes new and existing K-12 AI education efforts so that U.S. policymakers and other decision-makers may better understand what’s happening in practice.

Good News in the Progress Toward Top-Tier Research Status for HBCUs?

Jaret C. Riddick

| March 13, 2024

The Carnegie Classification of Institutions of Higher Education is making changes to drastically simplify the criteria that determine its highly coveted R1 top-tier research classification. Last year, CSET Senior Fellow, Jaret Riddick, wrote about a new law from Congress, Section 223 of the 2023 National Defense Authorization Act, intended to...

Matthias Oschinski

Senior Fellow

Ali Crawford

Senior Research Analyst

Jack Karsten

Research Fellow

Jacob Feldgoise

Senior Data Research Analyst

Luke Koslosky

Senior Research Analyst

Sonali Subbu Rathinam

Data Research Analyst

Matthias Oschinski and Ruhani Walia shared their insights in an op-ed published by The Hill Times. In their piece, they examine how artificial intelligence is reshaping—not replacing—jobs in Canada, and argue that the country is missing a critical opportunity to prepare its workforce for an AI-enabled future.

In his article featured in the Council of Foreign Relations, Matthias Oschinski shared his expert analysis on the importance of strengthening the United States' STEM talent pipeline.

“AI Chips: What They Are and Why They Matter,“ a report by CSET, was referenced in a Business Insider article. The article explores the urgent need in the US for more workers skilled in building AI chips. It highlights a significant decline in the American semiconductor workforce over the past two decades.

In an article published by The Messenger, Luke Koslosky provided his expert insights in the evolving landscape of artificial intelligence (AI) education and job opportunities.

A CSET data snapshot was cited by CNBC in an article that focuses on the increasing prevalence of AI-specific degree programs, driven by the high demand for AI skills in the job market.

In a Marketplace radio segment, CSET's Zach Arnold shared his insights on the creation of an AI Visa specifically designed for AI talent.

The Talent Map

December 2, 2025

Online

On December 2, CSET will host a webinar to highlight the new PATHWISE tool and discuss the full range of emerging technology training and workforce issues. Following a demo of the new tool, Senior Fellow Matthias Oschinski will moderate a discussion with leading experts on how this new data can inform the critical policy discussions central to the U.S. developing a robust domestic AI and cyber workforce.