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TL;DR
Singapore’s preliminary third-quarter 2026 retrenchments rose to 4,800, the highest quarterly count since late 2020, even as total employment increased. Official data attributes layoffs mainly to business reorganisation; separate graduate outcomes show fewer job-seeking university graduates secured work within six months. The available evidence does not establish AI as the cause of the layoffs or show that graduates are being displaced at scale.
Singapore recorded 4,800 retrenchments in the third quarter of 2026, the highest quarterly total since the end of 2020, as graduates also faced a more difficult job market. The Ministry of Manpower (MOM) said business reorganisation was the main driver of layoffs; the figures do not identify AI as their cause, and the data available so far points to a slower path into work for graduates rather than widespread graduate layoffs.
MOM’s October 30 advance release gives a preliminary count of 4,800 retrenchments, up from 4,620 in the second quarter and 3,670 in the third quarter of 2025. The last higher quarterly total was 5,640 in the fourth quarter of 2020. The retrenchment rate remained at 2.0 per 1,000 employees, so the rising count came alongside a stable rate by that measure.
The increase has not coincided with an overall fall in employment. Total employment grew by 27,700 in the quarter, more than the 11,400 added in the previous quarter, while Singapore’s overall unemployment rate was 2.0% in September. MOM said layoffs remained elevated in selected outward-oriented sectors, including information and communications, financial services and manufacturing. Services accounted for about 4,000 of the quarter’s retrenchments, manufacturing 700 and construction 100.
Graduate outcomes offer a separate measure of pressure at the start of a career. Among job-seeking graduates from Singapore’s six public universities in 2025, 83.4% had found work within six months, down from 87.1%. The share in full-time permanent jobs fell from 79.4% to 74.4%. Arts, design and media graduates had a reported employment rate of 50%. These figures describe graduate employment outcomes, not layoffs, and do not by themselves establish that AI caused the decline.
Infographic 01 · The numbers
Singapore's layoffs climb to a near six-year high
Retrenchments have risen in each of the last five quarters while employment kept growing. The official reason is restructuring.
Retrenchments per quarter
Number of employees laid off · selected quarters · rounded to the nearest 10
3Q 2026 by sector
Main driver: business reorganisation · elevated in information and communications, financial services, manufacturing
Mixed signals for the next quarter
Share of firms, August → September 2026
- Expect to hire in the next 3 months30.5% → 42.3%
- Expect to raise wages16.9% → 19.9%
- Expect to retrench2.8% → 3.1%MOM: “emerging weaknesses … that warrant close monitoring”
The economy grew 5.9% year on year in 2Q 2026 (MTI). Rising layoffs in a growing economy point to restructuring rather than a collapse in demand. The 3Q figures are preliminary; the full report follows in mid-December 2026.
Sources: MOM Labour Market Advance Release 3Q 2026, 30 Oct 2026; MOM Labour Market Report 2Q 2026, 21 Sep 2026; MOM Labour Market Report 1Q 2021 (4Q 2020 figure).
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Pressure at the First Career Step
The distinction between losing a job and struggling to get one matters for both workers and policy. Singapore’s retrenchment figures describe employees whose jobs ended; the graduate survey captures how readily new entrants found work. Combining them into a single claim that AI is already removing young workers from jobs would go beyond the evidence. But the weaker graduate outcomes suggest that entry-level opportunities are becoming harder to secure, even as total employment continues to grow.
That can affect how quickly graduates gain experience and move into stable work. It also makes the cause of the slowdown important: a tighter hiring market, changing business needs and automation could affect young jobseekers differently, and the information published so far does not separate those effects. Employers and policymakers need to track hiring and job quality as well as redundancies, particularly in fields where graduates report weaker outcomes.
The broader numbers show why an apparently healthy labour market can still feel unsettled. Employment expanded, and the share of firms planning to hire over the next three months rose from 30.5% in August to 42.3% in September. At the same time, the share expecting to retrench edged up from 2.8% to 3.1%. That combination suggests reallocation and uneven conditions, rather than a simple economy-wide collapse.
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What Singapore’s Data Measures
The retrenchment figures come from MOM’s Labour Market Advance Release, published October 30. The release is preliminary; a fuller report, with sector details and re-entry information, is due in mid-December. For more detail on who was laid off and why, the latest source cited in the material is MOM’s second-quarter Labour Market Report, published September 21.
That second-quarter report counted 4,620 retrenched workers, of whom 3,950—about 85%—were professionals, managers, executives or technicians, known locally as PMETs. Workers under 30 had the lowest layoff rate of any age group. Those figures do not prove the profile was identical in the third quarter, but they caution against portraying recent retrenchments as primarily young graduates losing jobs.
AI is part of the concern, but the official measures cited do not assign the third-quarter layoffs to it. MOM’s April survey found that 6.2% of firms adopting AI said they had cut headcount after adoption. That is a reported share among AI adopters, not a count of all layoffs caused by AI. The International Labour Organization estimates that about 80 million workers in Southeast Asia are in jobs with some exposure to generative AI, while saying it sees no evidence so far of large-scale job losses across the region.
AI’s Role Is Not Yet Measured
The latest retrenchment release does not include an AI-specific category, so it cannot show how many of the 4,800 job losses were caused by automation, if any. MOM’s April survey offers a separate indicator about AI-adopting firms, but it does not establish that AI caused the third-quarter increase or measure all effects on hiring. The 6.2% figure should not be read as the share of all layoffs attributable to AI.
The third-quarter release is preliminary, and detailed sector information and re-entry rates have not yet been published. It is also unclear from the figures presented how much of the decline in graduate employment reflects AI, broader hiring conditions, differences between degree fields or other factors. The second-quarter occupational breakdown is useful context, but it cannot be treated as a third-quarter breakdown.
Regional findings also need careful interpretation. The ILO’s estimate covers workers in jobs with some exposure to generative AI, which does not mean those jobs will disappear. Its observation that youth employment in highly exposed jobs fell faster than overall employment in the Philippines and Thailand describes those countries, not a measured Singapore-specific effect.
Full Labour Data Due in December
MOM is expected to publish the full third-quarter labour market report in mid-December, adding sector detail and information on workers’ re-entry into employment. That release should help show whether the rise was concentrated in particular industries and how quickly retrenched workers found new jobs, though it may not identify AI as the cause of individual job losses.
For graduates, the next useful evidence will be updated employment outcomes and clearer information on vacancies, permanent work and hiring by field. The figures currently available show that fewer job-seeking graduates found work within six months than in the previous cohort, but do not reveal which causes mattered most. Until more detail is available, the clearest conclusion is that Singapore’s layoffs have risen while graduate job outcomes weakened, with restructuring cited as the principal driver of layoffs and AI’s specific contribution still unconfirmed.
Key Questions
How many retrenchments did Singapore report in the third quarter of 2026?
MOM’s preliminary figure was 4,800 retrenchments, up from 4,620 in the second quarter. It was the highest quarterly count since the end of 2020.
Does the data show that AI caused Singapore’s layoffs?
No. MOM cited business reorganisation as the main driver, and its retrenchment statistics do not have an AI-specific category. The data does not establish how many, if any, third-quarter layoffs were caused by AI.
Are graduates being laid off in large numbers?
The figures provided do not show large-scale graduate layoffs. In the second quarter, workers under 30 had the lowest layoff rate of any age group. Graduate data instead shows that fewer job-seeking university graduates secured work within six months.
What happened to employment overall while layoffs rose?
Total employment increased by 27,700 in the third quarter, and the overall unemployment rate was 2.0% in September. Rising retrenchments therefore occurred alongside employment growth, indicating uneven labour-market conditions rather than an overall drop in employment.
When will more detailed third-quarter figures be released?
MOM’s full third-quarter labour market report is expected in mid-December 2026. It is due to include more sector detail and information on re-entry rates.
Source: ThorstenMeyerAI.com
