Policy Recommendations for New Jersey’s Artificial Intelligence Leadership in K-12, Higher Education, and Workforce Development

This paper summarizes different policy frameworks aimed to position New Jersey as a national leader in artificial intelligence (AI) education and workforce development. Through analysis of current state initiatives—like the NJ AI Hub, AI Task Force reports, apprenticeship programs, and regulatory guidance—we compare and identify gaps and opportunities across K-12, higher education, and workforce development sectors. We propose a multi-layered approach visualized through interconnected frameworks: an integrated AI education ecosystem, phased implementation roadmaps for K-12 AI literacy, a statewide AI curriculum consortium structure, multi-track workforce development pathways, and equity and access frameworks. Quantitative analysis suggests that while 20-25%+ of New Jersey’s workforce already uses AI technology daily, only 20-25% of educators feel prepared for AI integration. Our policy recommendations address this gap through a $165 million annual investment strategy with projected 3.8x return on investment, creating pathways for 10,000-20,000 new AI jobs by 2030-2032. Recommendations discussed include more layered, interconnected (over silos) and framework-styled methods for establishing AI literacy standards for all K-12 students, creating specialized AI high schools, expanding community college AI programs, developing industry-aligned university curricula, and implementing statewide AI teacher training. We also address equity and risk considerations, funding mechanisms, and suggest possible implementation timelines. This is a pure review paper and all findings are from suggested literature.