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      White Paper Outlining Strategies to Address Rural AI Skills Gaps and Support Workforce Retention Published by the University of Phoenix College of Doctoral Studies

      University of Phoenix logo with the black and white phoenix bird.

      News provided by

      University of Phoenix

      Oct 31, 2026, 08:00 ET

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      Author Dr. Stella Smith draws on Career Optimism Index® study to explore informal AI adoption, limited employer resources and career pathway challenges facing rural workers and businesses.

      PHOENIX, Oct. 31, 2026 /PRNewswire/ -- University of Phoenix College of Doctoral Studies has published a new white paper, "Bridging the Rural AI Skills Gap: Overcoming Informal Adoption, Resource Constraints, and Career Pathway Traps," by Stella Smith, Ph.D., associate university research chair for the Center for Educational and Instructional Technology Research (CEITR). Drawing on findings from the University of Phoenix Career Institute® 2026 Career Optimism Index® study and published workforce research, the paper examines how independent artificial intelligence (AI) skill development, limited organizational resources and unclear career pathways can create workforce challenges for rural employers and communities.

      In the white paper, Smith explores how 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, where smaller businesses, limited access to formal training and fewer local career opportunities can complicate workforce development and increase 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," said Smith. "For smaller communities, the challenge is not simply keeping pace with technology. It is creating accessible training, clear career pathways and organizational support so that emerging capabilities can contribute to both individual career growth and local economic resilience."

      How is informal AI adoption affecting workforce development?

      In the white paper, Smith draws on findings from the 2026 Career Optimism Index® national study examining workers' career perceptions and employers' workforce challenges, highlighting several trends shaping AI skills development and organizational readiness:

      • 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.

      Applying these national workforce findings to rural economic conditions, where employers may have fewer resources to provide structured AI training or establish formal processes for evaluating emerging skills, the paper also examines potential risks associated with informal, uncoordinated AI adoption, including inconsistent workplace practices, data governance concerns and missed opportunities to recognize employees' developing capabilities.

      Why do rural communities face distinct AI workforce challenges?

      Rural labor markets often depend on small and medium-sized businesses, agricultural enterprises, healthcare organizations and public institutions that may lack dedicated training resources or the infrastructure needed to support organization-wide AI adoption. Smith's analysis 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 to apply and develop these capabilities, AI-fluent rural workers may increasingly consider employment with organizations offering clearer professional development opportunities, including remote positions outside their local communities.

      The paper suggests that addressing these challenges requires regional approaches that connect workforce education, employer needs and career development.

      What strategies can help rural employers close AI skills gaps?

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

      • Build regional education and industry collaborations. Encourage employers, higher education institutions and workforce organizations to pool training resources and develop accessible, industry-aligned learning opportunities, including stackable credentials that document AI competencies.
      • Establish transparent skills assessment and career pathways. Identify existing AI capabilities, clarify expectations for AI use and connect skills development to defined opportunities for employees to apply their knowledge and pursue professional growth.
      • Equip managers to support AI skills development. Prepare supervisors to identify appropriate AI applications, evaluate AI-assisted work and guide employees in developing and applying new capabilities.

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

      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 stakeholders can help rural organizations make better use of emerging AI capabilities while supporting local workforce resilience.

      The full white paper is available on the Research Hub.

      About the author
      Smith is the associate university research chair for CEITR and an associate faculty member in the College of Doctoral Studies at the University of Phoenix whose work focuses on organizational wellness, access to opportunity and the implications of technological infrastructure on workforce outcomes. Her research integrates applied data with strategic insights to help leaders implement initiatives that strengthen employee well-being and organizational performance. Smith earned her doctorate in educational administration from The University of Texas at Austin.

      About University of Phoenix
      University of Phoenix is Built for Real Life. 50 Years Strong. The University innovates to help working adults enhance their careers and develop skills in a rapidly changing world through flexible online learning, relevant courses, academic AI pillars, and skills-mapped curriculum for associate, bachelor's and master's degree programs. Active students and alumni have access to Career Services for Life® resources including career guidance and tools. For more information, visit phoenix.edu. 

      About the College of Doctoral Studies
      University of Phoenix's College of Doctoral Studies focuses on today's challenging business and organizational needs, from addressing critical social issues to developing solutions to accelerate community building and industry growth. The College's research program is built around the Scholar, Practitioner, Leader Model which puts students in the center of the Doctoral Education Ecosystem® with experts, resources and tools to help prepare them to be a leader in their organization, industry and community. Through this program, students and researchers work with organizations to conduct research that can be applied in the workplace in real time.

      SOURCE University of Phoenix

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