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Can Old Training Methods Solve Chip Industry's Crisis?
10 Jul
Summary
- 1966 experiment showed new hires at TI became skilled faster.
- 67,000 technical jobs may go unfilled by 2030 in semiconductors.
- Federal government commits $250 million to semiconductor workforce.
In 1966, Texas Instruments conducted an experiment to optimize training for new hires, resulting in faster skill acquisition, fewer errors, and increased retention. This approach is now highly relevant as the semiconductor industry anticipates a significant technical workforce shortage. A 2023 report projects up to 67,000 unfilled technical positions by 2030.
Historical training models from companies like TI and Motorola in the 1970s focused on motivation and foundational skills. However, the complexity of modern semiconductor manufacturing, particularly advanced nodes and heterogeneous integration, requires extensive training that can span months or years. This extended certification process impacts production timelines.
The industry's workforce has shifted dramatically from operators to engineers and technicians, necessitating different skill sets. To address the looming talent gap, the federal government is investing $250 million over 10 years through the National Semiconductor Technology Center's Workforce of Excellence. This initiative aims to foster collaborative training solutions between industry, academia, and labor organizations.
