PwC Warns Firms Risk Losing Top AI-Skilled Workers
AI adoption among workers has surged while access to training has dropped, creating a growing talent divide, PwC finds.
Companies risk a widening talent split in which their most AI-literate employees leave while the majority of the workforce is left without the skills to compete, according to new findings from PwC. The consultancy's research points to a growing disconnect between workforce AI adoption and employer investment in upskilling.
AI use among employees has climbed by 10 percentage points, reflecting accelerating uptake across industries. Yet access to training and professional development resources has simultaneously fallen by 8 percentage points, suggesting organizations are not keeping pace with the demand their own workers are generating for AI competency.
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The gap raises a dual risk for employers: high-value workers with advanced AI capabilities may seek out organizations that better support their development, while those without AI skills risk being sidelined in an increasingly automated environment. PwC's analysis frames this as a structural vulnerability rather than a short-term staffing challenge.
The findings underscore a broader tension playing out across the U.S. economy, where enthusiasm for artificial intelligence tools has outrun corporate strategies to train workers equitably. Analysts note that companies failing to close the training gap may face compounding disadvantages — losing skilled talent to rivals while simultaneously struggling with a less-prepared core workforce.
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