University of Phoenix white paper targets rural AI skills gap and talent retention

What the white paper examines

The paper is titled "Bridging the Rural AI Skills Gap: Overcoming Informal Adoption, Resource Constraints, and Career Pathway Traps." Smith is associate university research chair for the Center for Educational and Instructional Technology Research (CEITR). According to the university, the paper looks at how independent AI skill development, limited organizational resources and unclear career pathways can create workforce challenges for rural employers and communities.

Smith argues that a growing disconnect between workers developing AI capabilities and employers' readiness to support and recognize those skills may be particularly consequential in rural labor markets. Smaller businesses, limited access to formal training and fewer local career opportunities can complicate workforce development and raise concerns about retaining AI-skilled talent.

"Rural workers may already be building valuable AI capabilities on their own, but employers need systems that help recognize, develop and apply those skills," Smith said.

National figures applied to rural conditions

The paper relies on findings from the 2026 Career Optimism Index® national study, which examines workers' career perceptions and employers' workforce challenges. The figures it highlights:

• 50% of workers report learning to use AI independently, without formal employer training.
• 60% of workers say they want more guidance in learning AI tools.
• 62% of employers say employees are developing AI skills faster than their organizations can adapt.
• 48% of employers are concerned about their ability to retain AI-fluent talent.

Smith applies these national findings to rural economic conditions, where employers may have fewer resources to provide structured AI training or to set up formal processes for evaluating emerging skills. The paper also looks at risks of informal, uncoordinated AI adoption, including inconsistent workplace practices, data governance concerns and missed opportunities to recognize employees' developing capabilities.

Rural labor markets often depend on small and medium-sized businesses, agricultural enterprises, healthcare organizations and public institutions. Such organizations may lack dedicated training resources or the infrastructure to support organization-wide AI adoption. Smith identifies three interconnected challenges: reliance on self-directed AI learning, organizational constraints on workforce development, and limited local career pathways that recognize newly acquired skills. Without structured opportunities, AI-fluent rural workers may increasingly consider organizations with clearer professional development, including remote positions outside their local communities.

A three-part roadmap for employers

Smith proposes a roadmap to help rural employers, educational institutions and workforce development organizations support responsible AI adoption and skills development.

• Build regional education and industry collaborations. Employers, higher education institutions and workforce organizations would pool training resources and develop accessible, industry-aligned learning, including stackable credentials that document AI competencies.
• Establish transparent skills assessment and career pathways. This means identifying existing AI capabilities, clarifying expectations for AI use and linking skills development to defined opportunities for employees.
• Equip managers to support AI skills development. Supervisors would be prepared to identify appropriate AI applications, evaluate AI-assisted work and guide employees in developing new capabilities.

The roadmap emphasizes moving beyond informal experimentation toward coordinated workforce development practices that serve both organizational needs and employees' career goals.

What it means for rural employers and workers

Smith concludes that strengthening AI skills development in rural communities will require collaboration among employers, education providers and regional leaders. By aligning training, skills recognition and career development, these groups can help rural organizations make better use of emerging AI capabilities while supporting local workforce resilience, according to the paper.

For rural employers, the message is that employees may already be ahead of formal training programs, and that failing to recognize those skills could raise the risk of losing workers to organizations with clearer career paths. The full white paper is available on the University of Phoenix Research Hub.