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A Regional and Data-Centered Approach to Workforce Development in an AI Economy

  • Jeffrey Oakma
  • , Jennifer Rexford
  • , Rachel C. Metzgar
  • , Federico d’Oleire Uquillas

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

As artificial intelligence (AI) reshapes work and the economy faster than conventional training programs can adapt, this chapter offers insights that can be replicated elsewhere for positive economic impact. It offers a replicable, employer informed framework for building AI-ready talent, being piloted by New Jersey's AI Hub—a partnership among the State of New Jersey, Princeton University, Microsoft, and CoreWeave. The chapter argues that an AI-economy workforce strategy must be grounded in regional economic development practices, be coordinated regionally among key stakeholders, addresses the needs for broad AI literacy as well as sector-specific applications, and evolves through continuous feedback loops. AI is advancing at a velocity that can easily outpace the capacity of formal education and training systems to respond.

Original languageEnglish (US)
Title of host publicationCoresource 4
PublisherJohn Wiley and Sons Inc.
Pages227-245
Number of pages19
ISBN (Electronic)9781394413072, 9781394413089
ISBN (Print)9781394413065
DOIs
StatePublished - 2026

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Social Sciences

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