The development of artificial intelligence may require a workforce beyond just coders, with tech companies investing heavily in new data centers to support their ambitions.
Alphabet, Microsoft, Meta, and Amazon are expected to spend around $700 billion this year on AI infrastructure, including grid modernization and semiconductor capacity. However, these plans are hindered by a shortage of skilled workers needed to build the necessary facilities.
According to estimates, the United States will require an additional 140,000 skilled trades workers, such as electricians, HVAC technicians, welders, and construction workers, by 2030 to support AI infrastructure.
One potential solution may lie in Switzerland's apprenticeship system, which has helped build a highly innovative economy. The country's Vocational Education and Training program allows students as young as 15 to apprentice at companies across the nation, gaining hands-on experience while developing industry-specific skills in the classroom.
The Swiss model has proven popular, with around 70% of each age cohort participating in apprenticeship programs in various industries. These pathways are not limited to vocational work, as students can either remain in their field or continue on to a university degree after completing their apprenticeships.
Switzerland's apprenticeship system is largely directed by private companies, which allows training programs to adapt quickly to changing industry needs and helps employers fill critical workforce gaps. This model could provide a template for addressing the United States' current labor shortages, particularly in industries related to AI development.
As demand for skilled workers grows, some states are already implementing similar apprenticeship programs, such as Colorado's CareerWise initiative, which allows students to split time between classroom and paid apprenticeships in various fields.
NTC Report coverage is based on reporting from the original publisher.
View original reporting →