Singapore before Generative AI: Augmentation, Degradation and the Shades in Between
Sahara Sadik, Chia Ying, Phillip Brown and Johnny SungAs Singapore enters the generative-AI era, the national challenge is to translate technological transformation into better jobs, stronger capabilities and more broadly shared wage gains. Drawing on a unique, nationally representative longitudinal dataset tracking changes in Singapore workers' job tasks between 2017 and 2022, this report identifies distinct pathways through which technology has augmented, degraded or left work largely unchanged. The findings highlight that technological adoption alone does not guarantee better jobs, and point to the importance of enterprise strategies and work design in steering AI towards more productive and inclusive outcomes.