Stepping Before the AI Revolution: What's Singapore's Position and What's Next

Published on 12 August 2026
关键在于,培训不能只是“被取代之后的补救”,而必须成为一种持续、主动的机制——推动劳动者不断向更高技能层级移动。 (叶振忠摄)
关键在于,培训不能只是“被取代之后的补救”,而必须成为一种持续、主动的机制——推动劳动者不断向更高技能层级移动。 (叶振忠摄)

In a commentary, SMU Dean of the School of Economics & Lee Kong Chian Professor of Economics Li Jia, and Pillar Lead for SMU’s Resilient Workforces Institute (ResWORK) examines how Singapore can position itself to lead in the age of artificial intelligence, arguing that AI transformation is not merely a technological challenge but a broader test of how effectively economies align workforce policy, education systems and institutional coordination. While Singapore has laid strong foundations through initiatives such as SkillsFuture and tripartite workforce mechanisms, he identifies several areas that warrant deeper attention, including shaping AI to augment rather than replace human capabilities, safeguarding pathways for fresh graduates, embedding lifelong learning as a societal norm, and strengthening early coordination between government and industry. His central argument is that Singapore’s long-term advantage will lie not in resisting technological disruption, but in ensuring workers are continually equipped to adapt, evolve and move up the value chain.

 

Source: Article from SMU News / Lianhe Zaobao (7 May 2026)

Featuring: Professor Li Jia (Pillar Lead, Maximising Societal Human Capital)