The University of Phoenix has published a significant white paper titled, “Leadership Opportunities for Increasing Employee Value through Artificial Intelligence,” focusing on how leaders can strategically integrate AI in the workplace. Authored by Andrew C. Lawlor, Ph.D., and Pamayla E. Darbyshire, DHA, MSN/CNS, both esteemed Fellows at the Center for Educational and Instructional Technology Research (CEITR), the paper was announced on December 9, 2025.
The document explores the transformative potential of AI, particularly generative AI, in enhancing employee value by addressing prevalent skills gaps and restoring worker autonomy. The authors highlight a troubling context for many leaders: a record-low institutional trust, with 21% of workers feeling a loss of control over their professional futures, and 51% reporting burnout.
The authors advocate for thoughtful AI adoption and targeted upskilling as effective strategies to improve performance and employee experience. “AI’s value is realized when leaders redesign work and invest in upskilling, so people can move from routine tasks to higher-value responsibilities,” stated Lawlor. He emphasized that the combination of human development and intelligent automation can significantly enhance organizational performance.
Key Findings and Economic Impact
Among the key findings outlined in the white paper are the critical roles AI tools and training play in closing skills gaps and restoring autonomy. The authors point to a growing body of research indicating that organizations implementing AI-enabled workflows have seen performance improvements of over 20%.
Generative AI is particularly effective at automating non-value-added tasks such as data entry and reporting. This automation allows employees to redirect their efforts towards more strategic, creative, and customer-facing activities. The realization of AI’s benefits is closely tied to leadership practices that prioritize upskilling and transformational leadership, which can help mitigate burnout and enhance resilience among workers.
The paper also discusses broader economic implications, noting estimates that AI could contribute up to $15.7 trillion to the global economy by 2030. This projection underscores the urgent need for organizations to develop effective, people-centered AI strategies.
Recommendations for Leaders
In their recommendations, the authors stress the importance of embedding AI literacy, coaching, and clear guidelines into everyday work environments. “Embedding AI literacy, coaching, and clear guardrails into everyday work restores a sense of autonomy and reduces burnout,” said Darbyshire. She asserts that leaders who normalize training and foster responsible AI usage will likely see improvements in employee engagement, confidence, and overall results.
The full white paper is accessible via the University of Phoenix Career Institute webpage and the College of Doctoral Studies’ Research Hub. For further details, interested individuals can refer to the document authored by Andrew C. Lawlor and Pamayla E. Darbyshire.
