New white paper on closing the AI fluency gap to support workforce retention published by the University of Phoenix College of Doctoral Studies

New white paper on closing the AI fluency gap to support workforce retention published by the University of Phoenix College of Doctoral Studies

New white paper on closing the AI fluency gap to support workforce retention published by the University of Phoenix College of Doctoral Studies

https://www.prnewswire.com/news-releases/new-white-paper-on-closing-the-ai-fluency-gap-to-support-workforce-retention-published-by-the-university-of-phoenix-college-of-doctoral-studies-302805050.html

Publish Date: 2026-06-20 08:00:00

Source Domain: www.prnewswire.com

  • AI Skill Development and Talent Retention: The white paper, “The Retention Mandate,” by Dr. Wayne L. McCoy, examines how employers can leverage AI skill development to enhance workforce retention.

  • AI Fluency Gap: There’s a growing disconnect between employee-led AI skill acquisition and organizational readiness and support, potentially leading to employee uncertainty and mobility.

  • Roadmap for Employers: The paper proposes a four-step pathway for employers: defining AI career pathways, establishing skills assessment, expanding training, and building managerial capabilities in AI.

  • Socio-Tech Transformation: McCoy’s analysis views AI adoption as a comprehensive, socio-technical evolution requiring clear governance, workforce development, and leadership practices.

  • Employee-led AI Learning: While self-directed AI learning can build employee confidence and productivity, it may lead to uncertainty without proper organizational support and structure.

  • Impact on Productivity and Identity: The paper highlights how AI adoption influences productivity, skills development, and employees’ professional identity.

  • Psychological Safety and Trust: Ensuring psychological safety and employee trust are crucial during AI implementation for successful adoption and retention.

  • Governance and Organizational Readiness: Effective governance structures and organizational readiness are essential for managing the challenges of AI adoption in the workforce.