1 in 5 retrenched PMET workers in S’pore still jobless after 2 years
- ID
- 32422
- Status
- summarized
- Published
- 06 Oct 2026, 4:40 PM
- Fetched
- 07 Oct 2026, 1:48 AM
- Provider
- Vulcan Post
- Category
- malaysia-startup
- Original URL
- https://vulcanpost.com/913675/1-in-5-retrenched-pmet-workers-in-singapore-still-jobless-after-2-years/
- Source URL
- https://vulcanpost.com/feed/
Summary
- Score
- 5.0
- Created
- 07 Oct 2026, 1:48 AM
- Tags
- Audience
- developerssaas_founders
What happened
Singapore's Acting Minister for Manpower Jasmin Lau told Parliament on Oct 6 that one in five retrenched resident PMETs remain jobless two years after losing their jobs, and four in ten of those who do return take a median 25% pay cut. Q2 2026 saw 4,620 retrenchments, the highest since Q4 2020 and up from 3,830 in Q1, with workers in their 40s and 50s making up more than half of those retrenched and degree-holders rising from 51% of the group in 2021 to 66.4% in 2025. Over the past 14 quarters, financial services most often recorded the lowest six-month re-entry rate, followed by wholesale trade; the excerpt is cut off mid-sentence in a section headed 'Is AI to blame?', so no AI causation is stated in the text provided.
Why it matters
This is the clearest recent regional benchmark for senior tech hiring risk: if you are a founder recruiting mid-to-senior talent out of Singapore, the 25% median pay cut on re-entry and the 40s/50s skew tell you candidates re-entering the market may accept lower cash but likely expect remote or cross-border arrangements. For Malaysian builders weighing a move to Singapore or benchmarking salaries against Singapore offers, the specific takeaway is that degree-holding, senior PMETs are the slowest cohort to re-enter, so a Singapore offer is less of an automatic safety net than it was pre-2020 — the text does not say AI caused this, and the truncated section leaves that unanswered.
Discussion angle
Singapore's retrenchment data now covers the period when AI coding tools went mainstream — but the article cuts off before any AI explanation. Useful live question: what would you actually need to see (job-title breakdown, sector splits, or Singapore MOM's own report) before attributing senior PMET re-employment difficulty to AI rather than to the financial-services and wholesale-trade cycles the article does name?