Singapore Management University (SMU) Dean of the School of Economics, Professor Jia Li, has sparked a vital conversation on the nation's workforce future amid the rise of artificial intelligence (AI). In a recent commentary, Li questions whether Singapore's longstanding 'protect every worker' doctrine—championed by Prime Minister Lawrence Wong—can effectively shield employees from AI-driven disruptions. This doctrine emphasizes supporting individual workers through reskilling and adaptability rather than preserving specific jobs, a philosophy rooted in the island nation's tripartite partnership between government, unions, and employers.
Li's analysis highlights the urgency, noting a 'narrow window' for adaptation as AI accelerates. Drawing from SMU research, he points out that while AI has boosted productivity without widespread job losses so far, the pace of agentic AI—autonomous systems capable of complex tasks—poses unprecedented challenges. Singapore's services-heavy economy, per International Monetary Fund (IMF) estimates, exposes about 77 percent of the workforce to high AI impact, particularly affecting women and younger workers in routine cognitive roles.
Understanding the 'Protect Every Worker' Doctrine
The doctrine emerged prominently in PM Wong's speeches, including during May Day 2026 rallies, where he stated, 'We may not be able to protect every job, but we will protect every worker.' This shift acknowledges structural changes like AI, prioritizing lifelong learning via SkillsFuture Singapore. For higher education institutions like SMU, NUS, and NTU, it translates to redesigned curricula embedding AI literacy from undergraduate levels.
Under this approach, the National Trades Union Congress (NTUC) and Ministry of Manpower (MOM) collaborate on initiatives like career bridges—targeted training pathways for at-risk workers. A parliamentary motion supporting 'no jobless growth' further reinforces this, urging proactive measures against AI-induced unemployment.
SMU's Resilient Workforces Institute: Leading the Charge
In response, SMU launched the Resilient Workforces Institute (ResWORK) in January 2026 with a S$5 million commitment. Partnering with SkillsFuture Singapore and Equinix, ResWORK researches AI's effects on jobs, skills demand, and lifelong learning. Professor Pravin Raj Palanisamy, Executive Director, emphasizes redesigning education for resilience, including stackable micro-credentials for mid-career professionals.
ResWORK's studies reveal AI enhances productivity in 93.8 percent of adopting firms without headcount cuts, but warn of future polarization: high-skill AI-complementary roles thriving while others lag.
AI's Current Impact on Singapore's Workforce
Recent data paints a mixed picture. A SMU analysis of job ads shows rising demand for AI-linked skills, yet only 6.2 percent of AI-implementing firms reported reduced hiring. However, 58 percent of workers fear replacement, per surveys. Sectors like finance, legal, and admin face highest disruption risks, with routine tasks automatable via tools like ChatGPT successors.
In higher education, this manifests as urgent curriculum overhauls. SMU introduced a Master of Science in Business AI, blending data science with management. NUS's AI Singapore initiative trains 100,000 learners annually, while NTU's College of Computing integrates agentic AI modules.
Steps for adaptation include:
Photo by Febe Vanermen on Unsplash
- Assessing personal skills against AI exposure via MOM tools.
- Enrolling in SkillsFuture AI courses for subsidized upskilling.
- Leveraging university alumni programs for discounted AI training.
Government's Budget 2026 Response
Budget 2026 allocates heavily for AI readiness. From H2 2026, Singaporeans in selected SkillsFuture AI courses get six months free premium tools like advanced GPT models. Institutes of Higher Learning (IHLs) offer alumni discounts on AI programs, aiming to reskill 100,000 mid-career workers yearly.
The Workforce Development Grant (Job Redesign+) launches March 2026, funding AI integration without layoffs. SMEs gain AI Skills Launchpad for adoption guidance. These align with National AI Strategy 2.0, focusing on trusted AI governance.Learn more on MOM's initiatives.
Challenges Highlighted by SMU Experts
Dean Li argues the doctrine's success hinges on speed. AI's 'black box' nature risks inequality if reskilling lags. SMU economists predict a 27 percent annual robot density growth since 2015, amplifying disruption. Younger graduates face 'skills mismatch' without AI fluency.
Higher ed grapples with faculty upskilling; SMU's symposiums bridge this via industry partnerships. Cultural context: Singapore's meritocratic ethos demands continuous learning, but older workers (45+) show lower AI adoption rates.
Case Studies from Singapore Universities
SMU's pilots demonstrate success. In finance modules, AI analytics cut analysis time 40 percent, freeing students for strategic thinking. NTU's AI-assisted tutoring personalized learning for 5,000 engineering students, boosting outcomes 15 percent.
NUS's Project NExT integrates generative AI ethically, training via real-world simulations. These exemplify how universities foster 'human-AI symbiosis,' aligning with doctrine goals.Explore SMU ResWORK details.
Stakeholder Perspectives
NTUC's Ng Chee Meng supports bridges for transitions. Employers via Singapore Business Federation call for incentives. Academics like Li advocate sovereign AI development to avoid global tech dominance.
WP MP He Ting Ru warns of risks in services economy. Balanced views emphasize tripartism's strength.
Photo by Nick Fewings on Unsplash
Future Outlook and Actionable Insights
By 2030, AI could add S$215 billion to GDP if managed well. Universities must expand micro-credentials; workers, pursue 100 hours annual training. Policymakers: monitor via AI observatories.
For academics/job seekers: Target /higher-ed-jobs in AI education. Explore /higher-ed-career-advice for reskilling paths.
Implications for Higher Education
SMU's leadership positions Singapore unis as AI hubs. With ResWORK, expect innovations like AI ethics labs. Graduates with hybrid skills will lead resilient careers.
Action steps:
- Audit curricula quarterly for AI relevance.
- Partner industry for apprenticeships.
- Promote inclusive AI access via subsidies.