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University of Phoenix College of Doctoral Studies releases white paper on AI-driven skilling to reduce burnout and restore worker autonomy
University of Phoenix links AI training to a 25% to 45% reduction in worker burnout and improved autonomy, offering employers strategies to enhance workforce resilience.
- On Dec. 10, 2025, the University of Phoenix College of Doctoral Studies announced the white paper titled `Burnout and Autonomy in the Modern Workforce: The Role of AI-Driven Skilling in Equity and Resilience` by Rheanna Reed, D.M., a research fellow and five-time faculty award recipient.
- Reed frames burnout as a structural problem tied to worker autonomy and AI-driven skilling, drawing on five years of University of Phoenix Career Optimism Index data and peer-reviewed scholarship.
- The white paper reports that the U.S. workforce using AI shows lower burnout and could yield an estimated $1.35 trillion in benefits, with employers saving $8,053 per worker and workers earning up to $5,270 more annually.
- The paper recommends that organizations treat AI literacy as baseline, integrate AI into development, center equity, align skilling with wellness, and track autonomy, burnout and optimism, with resources on the University of Phoenix Career Institute webpage and College of Doctoral Studies' Research Hub.
- As the university frames it, equitable skilling is central to helping working adults enhance careers amid rapid change, while Reed warns AI-driven skilling must close, not widen, opportunity gaps.
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University of Phoenix College of Doctoral Studies releases white paper on AI-driven skilling to reduce burnout and restore worker autonomy
New analysis by Dr. Rheanna Reed links record-high burnout, opportunity gaps and worker autonomy to access to AI training and career development
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Total News Sources16
Leaning Left1Leaning Right0Center8Last UpdatedBias Distribution89% Center
Bias Distribution
- 89% of the sources are Center
89% Center
11%
C 89%
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