Pleasanton, Calif.-based enterprise software vendor Workday on Monday released its October 2026 Global Workforce Report, and the data point most likely to push back against prevailing layoff headlines is this: most business leaders do not expect artificial intelligence to shrink their workforce. They expect AI to change the jobs people already have. The report, drawn from de-identified HR data at more than 550 employers, a global survey of 6,001 employees and business leaders, and a separate Workday survey of 5,944 workers, frames the next phase of AI adoption as a redesign problem rather than a downsizing one. The company found that 40% of business leaders expect AI to help them get more out of the employees they already have, while just 28% expect it to reduce headcount. Phil Willburn, the company's vice president of people systems, intelligence and support, summed up the tension in a single line: 'Employees may not be changing jobs, but their jobs are changing around them.'
- Business leaders expecting AI to lift existing-employee productivity
- 40%
- Business leaders expecting AI-related headcount reductions
- 28%
- Workers who know what skills they need to succeed
- 79%
- Workers who say their employer helps them develop those skills
- 66%
- Drop in demand for basic AI prompting skills since January 2026 peak
- Down 25%
- Rise in demand for hands-on AI building skills, Sept 2025 to July 2026
- Up 51%
- Employers reporting a year-over-year fall in internal moves
- 57%
- Median applicants per filled role in July 2026
- 69 (up from 58)
- Rise in applicants per offer in technology and media
- Up 40%
Skills workers can name, training they don't get
In a September 2026 survey of 6,000 full-time employees, 79% of workers said they know what skills they need to succeed, but only 66% said their employer actually helps them develop those skills. That 13-point gap is the most striking indicator that adoption is racing ahead of support inside the companies that are pushing AI the hardest.
Confidence is high even so. 65% of employees said they believe they can learn new skills if asked to. In a separate Workday AI@Work Pulse survey of 5,944 workers, 62% of those who use AI for nearly all their work said they think it will make their current skills less valuable. Yet 76% of those same heavy AI users said they expect it to open up new career opportunities. Workers see both halves of the equation at once.
'There's a lot of quiet unease in the workplace right now,' Willburn said. 'Staying isn't the same as buying in, and companies that treat it that way will pay for it in productivity.' Across every industry Workday analyzed, employees who plan to stay are also less likely to recommend their employer to others, a gap that reaches 11 points in the public sector.
Basic AI prompting is losing value while AI engineering gains
The clearest signal of how fast roles are shifting shows up in Workday's skills data on job requisitions. Demand for basic AI skills such as simple prompting rose through late 2025, peaked in January 2026, and then fell 25% over the following months. At the same time, hands-on capabilities like building AI tools, automating workflows, and AI engineering climbed 51% between September 2025 and July 2026.
That shift hides a quiet contradiction. Mentions of management and leadership skills in job postings fell 7% between September 2025 and July 2026, while mentions of training skills fell 13%, according to Workday. The very capabilities companies say they need to make AI adoption work are the ones disappearing from their listings.
'There's a gap right now between what organizations are asking of workers and what we're giving them to meet that ask,' Willburn told Channel Dive, a TechTarget publication. 'Closing that gap comes down to three things: acknowledge openly that roles are changing; connect that change to a strategy people can see themselves in; give people real agency over their own reskilling.'
Internal mobility stalls as applications flood open roles
Career growth is also harder to find. Moves to new roles inside the same company fell at 57% of employers year over year, and promotion rates worldwide stayed essentially flat. About half of employees did not even try to move internally last year, and of those, 27% said they simply did not see an attractive opportunity inside their company.
That pressure shows up downstream. Applications per filled role climbed to a median of 69 in July 2026, up from 58 a year earlier, according to the Workday press release. The biggest jumps were in financial services, where applicants per offer rose 27% year over year, and in technology and media, where the figure rose 40%. More than half of applicants in each sector said AI had increased how many roles they applied to, a hint that AI is helping candidates apply faster than employers can sort through them.
Time to fill held steady at about 60 days, because more applications do not necessarily mean more qualified candidates. Hiring managers still cite a lack of the right skills, plus mismatches around pay, location, and flexibility. The story lands at a moment when AI-linked layoff announcements have become a familiar headline. Workday's data point does not contradict those layoffs, but it argues that the deeper pattern is a redistribution of work rather than a straightforward reduction. For candidates, the practical question is which of the reskilling promises employers make will actually arrive.
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