Policy Snapshot
Vocational Training & Apprenticeships
Expanded technical education and apprenticeships for skilled trades resilient to automation.
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Vocational Training & Apprenticeships
Expanded career and technical education and registered apprenticeship programs preparing workers for skilled trades that are resilient to AI automation and in demand for AI infrastructure buildout
What it is:
Vocational training and apprenticeship programs combine classroom instruction with structured on-the-job learning, preparing workers for skilled occupations that require specialized technical competence but not necessarily four-year degrees. These programs range from formal registered apprenticeships — where workers earn wages while training under experienced practitioners for one to four years — to shorter career and technical education pathways offered through community colleges, trade schools, and employer-sponsored programs. The distinguishing feature is the integration of practical skill development with credentialed qualifications recognized by employers, producing workers who are job-ready upon completion rather than requiring additional on-the-job training.
Many of the occupations that vocational training serves — electricians, plumbers, HVAC technicians, welders, healthcare technicians, advanced manufacturing operators — involve physical presence, manual dexterity, and real-world problem-solving that current AI systems cannot replicate. At the same time, building the physical infrastructure that AI depends on (data centers, power generation and transmission, fiber optic networks) is creating substantial new demand for exactly these trades. This creates a convenient alignment: vocational training prepares workers for roles that are both resistant to AI automation and actively expanding because of AI deployment.
One consideration is that apprenticeships often rely on private sector participation; firms must be willing to invest in training workers, which many are reluctant to do when they can hire experienced workers (including from abroad) or when demand is uncertain. In many countries, vocational pathways carry a stigma relative to university education, making it difficult to attract students even when trade wages exceed those of many degree-requiring occupations. Apprenticeships are also primarily designed for young entrants; for mid-career workers displaced by AI, spending several years earning apprentice-level wages may not be financially viable, even if the eventual trade career offers higher pay and greater stability than their previous role.
Recommended Reading:
U.S. Department of Labor
June 2025
In June 2025, DOL awarded nearly $84 million through the third round of State Apprenticeship Expansion Formula (SAEF) grants to all 50 states and territories, supporting expansion in technology, AI, advanced manufacturing, supply chain, transportation, and construction trades. The funding includes both base formula allocations and competitive awards for states demonstrating readiness to adopt innovative, evidence-based approaches. Since January 2025, more than 134,000 new apprentices have enrolled in registered programs nationwide.
Separately, DOL opened $98 million in YouthBuild funding for pre-apprenticeship programs serving young people ages 16-24, with a new requirement that applicants embed AI literacy into their educational models, reflecting the expectation that foundational digital skills should accompany hands-on vocational training.
Center for Strategic and International Studies
GenAI’s Human Infrastructure Challenge—Can the United States Meet Skilled Trade Labor Demand Through 2030?
September 2025
This analysis finds that even under conservative scenarios, the U.S. needs approximately 63,000 additional skilled trade workers beyond baseline Bureau of Labor Statistics projections; under high-growth scenarios modeling AI as a "Second Industrial Revolution," that figure rises to 140,000. The report emphasizes that skilled trades are not easily fungible and that workforce aging compounds the challenge as experienced workers retire during peak demand periods. CSIS recommends establishing a National AI Infrastructure Workforce Consortium, modeled on the Department of Energy's Foundation for Energy Security and Innovation, to coordinate public and private resources for workforce expansion. The report notes that while tech companies like Google, Microsoft, and Amazon have launched training partnerships, current efforts remain insufficient relative to projected demand.
Center for Security and Emerging Technology
The State of AI-Related Apprenticeships
February 2025
CSET's "The State of AI-Related Apprenticeships" documents rapid expansion of apprenticeships in occupations sharing knowledge, skills, and abilities with AI system development. AI-related apprenticeships were “practically nonexistent” in 2013 but have since registered nearly 19,000 new apprentices. During the period of highest growth (2020-2022), new apprentices in AI-related occupations increased by 191%, far exceeding the growth rate for all apprenticeships. The report finds these programs have extremely high completion rates, reach underserved populations, are geographically dispersed across the country, and are used by small- to medium-sized firms to recruit workers. CSET recommends that federal and state governments continue supporting apprenticeship initiatives to solidify apprenticeships as a valuable pathway for workers in AI-related and technical fields while broadening access to quality jobs for a diverse workforce.
Real-world precedents:
Under Germany's dual vocational education system, 50-70% of young people aged 16-19 participate in apprenticeships that combine company-based training (70%) with publicly funded vocational school instruction (30%). The system produces over 300 recognized occupational credentials through collaboration among employers, unions, and government.
Technology companies are also investing directly in skilled trades pipelines.
Google announced a $10 million initiative to support training of electricians through the electrical training ALLIANCE (etA), with a goal of training 100,000 new electricians and 30,000 apprentices.
Microsoft announced a partnership with North America's Building Trades Unions (NABTU) in January 2026 to strengthen apprenticeship and training programs in skilled trades where data centers are being built, as part of its "Community-First AI Infrastructure" commitment.