The Bridge2AI is the National Science Foundation–funded project, led by the Center for Advancement Research in Education (JMU CARE) that is designed to expand the AI workforce by uncovering untapped talent in rural areas. Through interdisciplinary collaboration, experiential learning, and personalized mentoring, the project provides adult learners opportunities to transition into AI-driven careers. Participants complete a 10-month training and internship program co-designed by JMU faculty and CGI, one of the world’s largest IT and business consulting companies. Each participant receives an Individualized Development Plan (IDP), multi-tiered mentoring support, professional development training, and financial assistance.

Program Highlights:

• AI-related career pathway combining knowledge building, skills training, and hands-on experience
• Individualized Development Plan (IDP) designed with faculty and industry mentors
• 10-week paid internship at CGI
• Mentoring from JMU faculty, CGI professionals, and peers
• Financial assistance (e.g., tuition, childcare, travel)

The Bridge2AI project addresses the growing gap in the AI workforce by developing alternative career pathways for adult learners, especially those living in rural areas, where AI industries are less accessible. While AI drives national innovation, rural communities often lack exposure, infrastructure, and resources to participate in this expanding field. This project creates a replicable model that bridges higher education, industry, and community partners to build a sustainable pipeline of AI professionals from rural regions.

Project Objectives:

1. Uncover the potential of rural talent through awareness campaigns, mentoring, and community engagement.
2. Provide educational, psychological, and financial support to help participants pivot into AI careers.
3. Identify career pathways through Individualized Development Plans (IDPs) customized for each participant.
4. Foster professional identity as AI practitioners through experiential learning and networking.

The project integrates Self-Determination Theory (SDT) to cultivate intrinsic motivation and long-term growth by addressing three key psychological needs: competence (building confidence and mastery), autonomy (self-directed career development), and relatedness (building belonging within the AI professional community).