Policy Snapshot

Giving citizens a direct ownership stakes in AI infrastructure via equity stakes

Scenario

Gradual
Augmentation

All Scenarios

Rapid
Automation

Scope

Near Term
(Volatility Risks)

Medium Term
(Transition Risks)

Long Term
(Structural Risks)

Governance Level

Local

National

International

Target

Entrepreneurs

Displaced Workers

Primary Actor

Governments

Private Actors

/

Labor Market Adaption & Education

/

Formal Education

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 combines classroom instruction with hands-on skill development, preparing students for occupations that require specialized training but not necessarily four-year degrees. While AI currently threatens many white-collar jobs, it simultaneously increases demand for skilled trades requiring physical presence, manual dexterity, and real-world problem-solving.

Meanwhile, building AI infrastructure (data centers, power generation facilities and transmission lines) will likely further increase demand for electricians, welders, pipefitters, and HVAC technicians. The opportunity is to revitalize vocational education as a high-wage, stable career route that complements rather than competes with AI, building the physical infrastructure that makes the digital economy possible.

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.

Securing humanity's AI future

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