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.

Analysis

AI Safety and Automation Bias

Lauren Kahn, Emelia Probasco, and Ronnie Kinoshita

| November 2024

Automation bias is a critical issue for artificial intelligence deployment. It can cause otherwise knowledgeable users to make crucial and even obvious errors. Organizational, technical, and educational leaders can mitigate these biases through training, design, and processes. This paper explores automation bias and ways to mitigate it through three case...

Data Snapshot

Identifying Cyber Education Hotspots: An Interactive Guide

Maggie Wu and Brian Love

| June 5, 2024

In February 2024, CSET introduced its new cybersecurity jobs dataset, a novel resource comprising ~1.4 million LinkedIn profiles of current U.S. cybersecurity workers. This data snapshot uses the dataset to identify top-producing institutions of cybersecurity talent.

Data Snapshot

Introducing the Cyber Jobs Dataset

Maggie Wu

| February 6, 2024

This data snapshot is the first in a series on CSET’s cybersecurity jobs data, a new dataset created by classifying data from 513 million LinkedIn user profiles. Here, we offer an overview of its creation and explore some use cases for analysis.

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...

NobleReach Foundation and CSET Collaborate on Mapping Emerging Technology Talent Pipelines

January 30, 2024

CSET's Workforce team is partnering with the NobleReach Foundation to deliver new research on talent trends in the U.S., including the talent development pipelines for AI, cybersecurity, and other emerging technologies.

Matthias Oschinski

Senior Fellow

Ali Crawford

Research Analyst

Jack Corrigan

Senior Research Analyst

Jack Karsten

Research Fellow

Jacob Feldgoise

Data Research Analyst

Luke Koslosky

Research Analyst

Sonali Subbu Rathinam

Data Research Analyst

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 Washington Post cited a CSET report that delves into the issue of talent retention in artificial intelligence and its effects on the United States' competitiveness. The report was referenced in an article discussing how countries such as the United Kingdom, Australia, and Canada are successfully attracting highly skilled immigrants, including international students educated in the United States.