Global Workforce Report: AI Is Rewriting Jobs More Than It's Cutting Them
B · Useful, limited Vendor press release, but backed by de-identified HR and recruiting data from Workday customers plus surveys of about 6,000 employees and 5,944 workers, with specific figures and a stated methodology.
Summary based on the full text·Original: about 6 minutes to read
In short
Workday's press release for its October 2026 Global Workforce Report, issued 5 October 2026. It combines Workday customer HR and recruiting data with two worker surveys. The headline: leaders expect AI to change existing jobs more than cut headcount, demand is shifting from basic AI use to building with AI, and internal mobility is stalling. This digest is based on the press release; the full report and its methodology appendix were not read.
Key numbers
- -25%fall in job-posting demand for basic AI skills such as simple prompting after a January 2026 peak
- +51%rise in demand for AI-building skills (tools, workflow automation, AI engineering), Sept 2025 to July 2026
- 57%employers where internal moves to new roles fell year over year
- 69 vs 58median applicants per filled job, now vs a year earlier
As reported by the source.
English·Web page·opens newsroom.workday.com
What it reports
- 40% of business leaders expect AI to help them get more out of existing employees; 28% expect it to reduce headcount.
- Across about 550 employers using Workday Recruiting, demand for basic AI skills rose through late 2025, peaked in January 2026 and then fell 25%; demand for building AI tools, automating workflows and AI engineering rose 51% between September 2025 and July 2026.
- Mentions of management and leadership skills in requisitions fell 7% and training skills 13% over the same period.
- In a September 2026 survey of 6,000 full-time employees, 79% know which skills they need but 66% say their employer helps develop them, a 13-point gap; 65% are confident they can learn new skills.
- In the August AI@Work Pulse survey of 5,944 workers, 62% of those using AI for nearly all their work think it will make their current skills less valuable; 76% of the same group expect new career opportunities.
- Internal moves fell at 57% of employers; promotions were flat; nearly 4 in 10 employees went through a reorganisation in the past year; about half did not try to move internally.
- 84% of job seekers used AI in their search. Median applicants per filled job rose to 69 from 58, while time to fill held at about 60 days. Applicants per filled job rose 27% in financial services and 40% in technology and media.
- Voluntary turnover is about 16% a year and about 70% of employees remain two years later; stayers are less likely to recommend their employer, a gap of up to 11 points in the public sector.
How they got it
Mobility, promotion and retention figures come from de-identified data of active Workday customers with at least 250 employees, matched year over year. Leader and employee views come from a global survey of 6,001 respondents, including about 1,780 decision-makers. Skills demand comes from requisition skills data across about 550 Workday Recruiting customers from September 2025 to July 2026.
Limits
- Workday sells HR and AI software, and the framing supports its products; sample selection is limited to its customer base.
- The release gives no confidence intervals, country splits or definitions of "basic" versus "building" AI skills.
- The link between AI and the rise in applicants is described as "possible", not tested.
Why it matters for companies
The skills data suggest prompting training has a short shelf life; requisitions are moving toward people who can build automations and AI tools. At the same time, internal mobility is stalling and fewer postings ask for training or management skills, which leaves reskilling to employees who report a 13-point support gap. Recruiters should expect more applications per role without faster hiring, so screening capacity becomes the constraint. Workday reads high retention here as caution in a slow labour market.
Summary based on the full text. Read the original for the full argument and data.Read the original on newsroom.workday.com