HR Leaders Forecast Entry-Level Jobs Will Supervise AI

A joint study from Cognizant and Pearson, titled *The AI Workforce Pulse* and as reported by HR Dive, found that 96% of HR leaders said entry-level roles will "evolve into positions where employees supervise or manage AI" within five years, per the official Cognizant/Pearson press release (June 18, 2026). Separately, 94% of HR professionals surveyed said they expect AI to generate new entry-level roles in the next five years that do not currently exist, according to the same release. More than 90% of respondents said middle managers will be instrumental in redefining job roles as AI changes day-to-day work.

Despite these expectations, the study found organizations are not keeping pace. Sixty percent of HR leaders said their company's learning and development programs cannot keep up with how fast AI is transforming jobs, per the Cognizant/Pearson release. Only about 54% of organizations proactively arrange AI upskilling training in anticipation of role changes; 91% report that employee requests for AI training have increased over the past year.

The study also flags a shift in candidate preferences: 69% of HR leaders said broad, interdisciplinary backgrounds matter more than deep specialized skills for early-career talent, and 67% said they value liberal arts degrees more than before. Nearly all respondents (97%) indicated soft skills matter more than ever.

surveys of HR leaders reflect anticipated rather than confirmed job market shifts. The study was commissioned by Cognizant and Pearson, both of whom have commercial interests in workforce reskilling. The Wakefield Research methodology (750 HR professionals at director level and above, companies with 1,000+ employees, US/UK/India, March-April 2026) limits generalizability to large enterprise settings. For practitioners in L&D, talent acquisition, and AI product design, the takeaway is a clear stated direction from HR decision-makers toward human-AI collaboration roles at entry level, with a significant gap in readiness infrastructure.

Track whether follow-on empirical data - job posting taxonomies, role-title changes, training investment disclosures - corroborate the survey findings over the next 12-18 months.