A CSET report shares insights on community college-level artificial intelligence workforce training and where further investment is needed.

Funding from the CHIPS and Science Act is expected to build new semiconductor manufacturing plants, but to staff new fabs, Research Analyst Will Hunt estimates a need for more than 3,000 high-tech workers.

A key provision in the final CHIPS and Science Act that was dropped would have made high-skilled immigration to work in the U.S. easier. A CSET study estimated new semiconductor manufacturing plants may require 3,500 foreign-born high-skilled workers.

The Biden administration hopes to turn the U.S. into a hub for microchip manufacturing with help from Intel, but to reshore chip manufacturing, the U.S. needs to attract foreign talent. According to a CSET study, the chip industry would only need around 3,500 foreign-born workers to effectively staff new U.S.-based factories.

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.

In the current cyber-threat environment, a well-educated workforce is critical to U.S. national security. Today, however, nearly six hundred thousand cybersecurity positions remain unfilled across the public and private sectors. This report explores high school cybersecurity competitions as a potential avenue for increasing the domestic cyber talent pipeline. The authors examine the competitions, their reach, and their impact on students’ educational and professional development.

According to a CSET study, Chinese universities will produce more than 77,000 STEM PhD graduates per year compared to U.S. universities.

In an interview with Inside Higher Ed, Research Analyst Jack Corrigan explains how university AI faculty staffing is unable to keep pace with student demand.

In his opinion piece in The Hill, Research Analyst Luke Koslosky discusses the role of community colleges in training the next generation of the U.S. AI workforce.

A CSET study finds that U.S. universities do not have enough teachers to meant the growing demand for an AI education.