
What to know
- Different starting points limit direct comparison of the two changes.
- Our recommendation: distinguish using an AI tool from taking responsibility for a working process.
- Choose training around a specific assignment and its failure cases, rather than a fashionable label.
What Workday reported
Workday’s October 5 report covers requisitions from 554 enterprise employers during September 2025–July 2026. It reports basic AI-skill demand falling 25% after January’s peak and applied AI demand rising 51% from September. Technology differed: demand rose for both groups.
Basic skills include prompting and copilots; applied skills cover building and deploying AI, including workflow automation, machine learning, and AI engineering.
Sources: Workday — Workday Global Workforce Report: AI Is Rewriting Jobs More Than It’s Cutting Them; Workday — Global Workforce Report, October 2026: The Adaptability Advantage
How to read the numbers
The report combines separate data panels and describes trends as non-causal. Its customer sample is not the entire labor market. A decline in advertised demand does not establish that practical AI literacy has become less useful.
Sources: Workday
Our interpretation: define what you can own
We would translate an AI requirement into a question about responsibility. Does the employer need someone to produce a draft, connect a tool to existing records, evaluate its output, or maintain the process when it fails? Those are different assignments. A candidate can describe the part they understand well and identify what they would need to learn or escalate.
Consider a hypothetical operations coordinator asked to route incoming service requests. A convincing demonstration could include a small set of invented requests, a proposed classification process, and examples that deliberately resist easy classification. Show how a missing account number, an urgent complaint, or conflicting instructions would reach the right person. Explain who can override the result and how a mistaken routing decision would be noticed.
The demonstration need not be a production system. Its purpose is to reveal whether the candidate understands the assignment beyond the first successful output. Someone pursuing an engineering role could add implementation and monitoring; someone pursuing an operations role could focus on requirements, exception handling, and acceptance criteria. These are our suggested exercises, not hiring outcomes measured by Workday.
A useful next conversation
Before choosing a course, bring one relevant vacancy or internal assignment to a colleague familiar with the work. Ask which decisions a beginner should be able to make independently and which require help. Use that answer to select a bounded project. Keep the finished example and a short account of what you could not yet do; together they make a more precise learning plan than a promise to become proficient in AI.
Sources & method
AI-generated news synthesis checked against Workday’s release and report, especially pages 11, 13, and 22. We did not independently reproduce the skill classification, normalization, or weighting. Practical examples and recommendations are editorial interpretation.
- Workday Global Workforce Report: AI Is Rewriting Jobs More Than It’s Cutting Them Workday ·
- Global Workforce Report, October 2026: The Adaptability Advantage Workday ·
Drafted and source-checked by Codex AI agents. Read our sourcing, illustration, and correction policy.
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