Workday Survey Finds AI Is Reshaping Jobs Faster Than It Is Cutting Them

Workday published its Global Workforce Report on October 5, and the headline finding cuts against the layoff-driven narrative that has dominated enterprise AI coverage this year: 40% of the roughly 1,780 business-leader respondents said they expect AI to help them get more output from current employees, versus 28% who expect it to reduce headcount. The report, drawn from a September 2026 survey of 6,001 employees and leaders plus de-identified transaction data from Workday's enterprise customer base, frames AI's near-term effect on enterprise staffing less as elimination and more as redefinition — a distinction with real consequences for how companies budget training, manage internal mobility, and retain people whose jobs are shifting without officially changing.

Demand shifts from prompting to building

The clearest evidence of that redefinition shows up in hiring data. Workday examined job requisitions from roughly 550 enterprise employers on its recruiting platform between September 2025 and July 2026 and found that demand for basic AI skills — simple prompting chief among them — peaked in January 2026 and then fell 25% over the following six months. Over the same window, demand for hands-on AI skills, including building AI tools, automating workflows, and AI engineering, rose 51%. Mentions of management, leadership, and training skills in job postings fell 7% and 13%, respectively, suggesting that as AI absorbs more coordination work, employers are prioritizing people who can build and operate the systems over people who can direct human teams around them.

That shift is landing unevenly on the workforce. Among the employees surveyed, 79% said they know which skills they need to stay relevant, but only 66% said their employer actually helps them develop those skills — a 13-point gap between awareness and support. Workers who use AI heavily are split on what that means for them: 62% believe it will make their current skills less valuable, while 76% expect it to open new career opportunities. Those aren't mutually exclusive answers, but together they describe a workforce that sees the ground moving without a clear sense of where it will settle.

Internal mobility stalls while outside competition intensifies

Workday's customer transaction data — pulled from companies with at least 250 employees using its HR software, matched year over year — shows internal moves declined at 57% of employers even as global promotion rates held roughly flat. Employees who didn't attempt an internal move last year, about half the sample, most often blamed paused hiring for the role, managers who didn't support the move, or selection processes that felt unfair. Nearly four in ten employees said their company went through a reorganization or restructuring in the past year, which helps explain why internal movement is harder to come by even as companies insist they're investing in current staff rather than replacing them outright.

Outside the building, the job market is getting more crowded and more AI-mediated. The median number of applicants per filled role rose to 69 from 58 a year earlier, while median time to fill held at roughly 60 days — more people competing for roughly the same number of open positions, taking roughly the same time to fill. The increase wasn't even: applicants per filled job rose 27% in financial services and 40% in technology and media, and in those two sectors 53% and 57% of applicants, respectively, said AI tools had increased the number of roles they applied to. Separately, 84% of job seekers overall reported using AI somewhere in their job search. Employers, for their part, said open roles most often stay unfilled because candidates lack the right skills or because pay, location, or flexibility don't match what candidates want — a reminder that AI-assisted application volume hasn't necessarily translated into AI-assisted matching quality.

People are staying, but not necessarily buying in

The retention numbers in the report read, at first glance, as reassuring: voluntary turnover sits at roughly 16% a year, and about 70% of employees are still with the same employer two years later. But Workday's own framing of the data pushes against reading that as stability. Phil Willburn, the company's vice president of people systems, intelligence and support, said employees planning to stay are measurably less likely to recommend their employer to others — a gap that widens to 11 points in the public sector. "Employees may not be changing jobs, but their jobs are changing around them," Willburn said. "Staying isn't the same as buying in, and companies that treat it that way will pay for it in productivity."

Willburn also pointed to a broader unease running through the survey responses that doesn't reduce cleanly to a single statistic. "There's a lot of quiet unease in the workplace right now," he said, adding that "the question isn't just whether someone has done the exact job before" but "whether they can learn fast enough to solve the next problem." That framing puts the burden of adaptation on individual workers at the same moment the report's own numbers show employers pulling back on the internal moves and training support that would help them adapt — the 13-point gap between employees who know what skills they need and those who say their employer helps them get there.

None of this amounts to the kind of AI-driven layoff announcement that has become routine this year. It is, instead, a picture of enterprise AI adoption working through attrition of the slow kind: skill requirements drifting away from what much of the existing workforce has, internal mobility tightening at the same time companies say they want to retain people, and retention holding steady on paper while the survey data suggests it is increasingly retention without enthusiasm. For HR and technology leaders weighing how to message AI rollouts internally, Workday's own data suggests the harder problem isn't convincing workers that AI won't take their jobs — it's convincing them that staying in those jobs is worth the growing distance between what the role used to require and what it requires now.