43% of HR Leaders Confident Workers Have Needed Skills
Just 43% of HR leaders express high confidence that employees hold the skills needed in an automated workplace, a Harris Poll/University of Phoenix survey shows. The visibility gap reshapes hiring and pay.
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Just 43% of HR leaders express high confidence that their employees actually hold the skills required to operate in an automated work environment, according to a Harris Poll survey for the University of Phoenix released September 25, 2026.
The finding quantifies what the university calls a "skills visibility gap" — a mismatch between what HR teams believe workers need and what HR teams can verify workers have. For individual professionals, the gap signals that résumé claims and tenure no longer anchor hiring decisions; employers increasingly need proof.
The survey found HR leaders primarily rely on managers' personal knowledge of their reports or annual performance reviews to verify skills. Fewer than half of respondents said managers felt prepared to identify, assess, or discuss skills gaps and development with employees.
What does the gap mean for individual careers?
The implication cuts both ways. Employees who cannot document AI fluency, data literacy, or domain-specific technical skills risk being passed over during restructuring, since HR lacks confidence in workforce execution. Conversely, workers who can produce verified evidence — certifications, project portfolios, quantified outcomes — gain leverage in compensation conversations where AI skills are now bargaining chips.
Payscale reported earlier in September 2026 that employer salary structures have not kept pace with AI-driven skill demand, even as candidates ask for premiums tied to AI capability.
Is HR itself underqualified for the AI transition?
The skills gap extends upward into the function. Nathan Jones, vice president of product management at the University of Phoenix's workforce solutions group, framed the problem as one of narrow scope.
"The workforce conversation needs to move beyond technical skills versus durable skills," Jones said in a release accompanying the results. "Increasingly, people need both."
The argument finds backing in parallel research. A recent Graduate Management Admission Council survey of global recruiters identified AI-related skills and strategic thinking as the two categories that will matter most for business school graduates over the next five years — placing durable human capabilities on equal footing with technical depth.
Why are skills hard to verify in the first place?
AI itself may be undermining the underlying capabilities HR needs to assess. IBM research published earlier in September 2026 found that a majority of CHROs report AI use has begun eroding critical thinking and human judgment — two skills executives consider essential for working alongside the technology. Separate studies have linked workplace AI to reduced employee familiarity with core job tasks.
- The combination creates a measurement problem: HR cannot easily verify skills that are themselves being weakened by the tools meant to enhance productivity.
- SHRM has promoted a "chief work officer" paradigm, in which the function evaluates how work gets done across human and automated labor.
- Most survey respondents identified soft or durable skills — communication, collaboration, problem-solving — as their organization's primary talent development focus.
What should workers and HR teams do next?
For HR leaders, the data argues investment in skills verification tooling rather than expanded training budgets alone. For individual professionals, the September 2026 evidence supports a dual strategy: maintain verifiable proof of AI-related capability while sharpening the durable skills GMAC recruiters flagged as equally weighted.
The University of Phoenix results suggest the visibility problem will widen before it narrows, as AI continues to reshape both the skills employers demand and the skills daily work erodes.
Original: techtarget.com
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Senior reporter covering regulation, policy and their impact on Job market data and labor economics at Path & Pay.
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