Switzerland has one of the OECD’s most pronounced gaps in continuing education between younger and older people, and between qualified and less qualified workers. This is the finding underlying a motion submitted in Bern this week.
What the text says: a motion adopted this week with amendments calls for preventive continuing education and professional reskilling to be guaranteed for people whose jobs are threatened by technological and economic changes. The National Council must still decide how to proceed. The Swiss Federation for Continuing Education is calling for a genuine political vision, while employers believe the current framework is sufficient.
Why this concerns you: if you are an employee in an exposed occupation—data entry, administrative support, or standardized content creation—the continuing-education gap documented by the OECD means, in practical terms, that access to reskilling currently depends largely on your age and initial qualification level, not only on your motivation. For recruiters and HR professionals, this political debate will probably lead to future training-budget obligations or incentives. For candidates who have spent more than 10 years in the same occupation, the question is no longer “Will AI take my job?” but rather whether they can concretely finance and organize their own upskilling.
This week: identify an AI-related skill that is directly useful in your current job—using a tool or automating a repetitive task—and test it on a real work case instead of taking a generic course. Document the result achieved: it will be your first concrete example to highlight in an internal or external interview.
LinkedIn post idea to adapt
“This week, I automated [specific task] with [AI tool]. Result: [measurable time or quality gain]. It is not a revolution; it is one more skill on my CV. What task have you automated recently?”
