PwC: AI-Skilled Workers at Risk of Leaving as Training Falls
AI adoption among workers rose 10 points, but access to training resources dropped 8 points, creating a retention risk for companies.
Companies are facing a growing paradox: their most AI-proficient employees may be the first to walk out the door, even as less digitally fluent workers are being left further behind, according to new findings from PwC.
The consulting firm's data shows that AI usage across the broader workforce climbed by 10 percentage points, a sign that the technology is penetrating more corners of organizational life. Yet access to upskilling and professional development resources fell by 8 points over the same period, widening the gap between employee capability and employer support.
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The divergence carries a concrete retention risk. Workers who use AI on a daily basis are significantly more likely to trust company leadership, report a stronger sense of job security, and express higher overall engagement — qualities that make them attractive to competing employers should they feel their growth is being neglected at their current organization.
The findings suggest employers may be inadvertently creating a two-tier workforce: a smaller cohort of AI-fluent staff who are thriving but underserved by formal development programs, and a larger majority who have yet to gain meaningful access to the tools or training needed to keep pace with technological change.
For organizations navigating rapid automation, the data underscores that deploying AI without parallel investment in workforce development is a strategy that risks both losing top digital talent and stalling the broader transformation effort. Continue reading at Economic News, Trends, Analysis.
