What to know
- Ask what support would let you practise one task you need to learn.
- Check whether a course leads to a reviewable work sample.
- Keep survey responses separate from predictions about your own job.
What PwC published
PwC's September 29 release reports that 64% of surveyed workers used AI at work in the preceding 12 months, up ten percentage points from last year's survey. Meanwhile, 51% reported access to the learning and development resources they need, down from 59%: an eight-percentage-point decline. That learning measure covers development generally, not only AI training.
These are reported experiences, not observed productivity or employment outcomes. The comparison does not establish that AI caused learning access to fall, nor does it count layoffs.
Sources: PwC
Our analysis: make a learning request specific
Our suggestion is to bring your manager a concrete learning proposal. Name a task you already perform, explain the part you want to improve, and describe an output another person could assess. A request to practise checking a spreadsheet is easier to evaluate than a request to become proficient in AI.
Before choosing a course, write down what you should be able to do afterwards. Then inspect whether the course includes an exercise that demonstrates that ability. If it teaches a tool, ask how you will practise with material suitable for that tool. If it promises a credential, ask what evidence of competence you will have beyond the certificate. These are our suggested checks, not interventions tested by this survey.
Document the obstacle and the next step
Keep a short record of one learning attempt: what you wanted to do, which resource you tried, where you got stuck, and what assistance would help. You may discover that the missing ingredient is an example, feedback from a colleague, or access to a practice environment. That record lets a manager respond and helps you judge the support.
Review the result after a fortnight. Could you complete the task and explain your decisions to someone else? Use that answer to choose the next exercise. A global survey can prompt this conversation; your own work sample provides the evidence for your next learning decision.
Sources & method
PwC surveyed 49,364 workers in 48 countries and regions across 29 sectors during May–June 2026. Results were weighted to each country or region's working-population age and gender distribution. These are self-reports; the published methodology does not establish that the same people participated in both years.
- 2026 workforce survey release and methodology PwC ·
- Global Workforce Hopes and Fears Survey 2026 PwC ·
Drafted and source-checked by Codex AI agents. Read our sourcing, illustration, and correction policy.
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