America’s AI chip buildout faces a talent squeeze

The U.S. semiconductor industry is scaling up to meet surging demand for GPUs, AI accelerators, high-bandwidth memory and other advanced chips used in data centers and high-performance computing. A SEMI Foundation analysis estimates the sector could face a workforce deficit of 127,000 to 157,000 employees by 2030, with engineering roles especially hard to fill.

The talent gap is emerging as companies expand domestic production. Samsung’s growing facilities in Texas will require engineers, technicians and supply-chain specialists, while Solidigm is evaluating a potential NAND flash-memory plant, with upstate New York among the locations under consideration. The broader U.S. AI-chip market is projected to grow from approximately $58.9 billion in 2025 to $173.1 billion by 2035, reflecting a compound annual growth rate (CAGR) of 23.5%.

Manufacturing investment is also widening the skills challenge. The Semiconductor Industry Association says more than 160 semiconductor-related projects across 30 states represent over $825 billion in announced private investment and are expected to create or support more than 525,000 jobs. Yet only around 3% of U.S. engineering graduates enter the semiconductor industry, while approximately 73% of employers report significant difficulty hiring engineers.