Singapore's AI Engagement Gap Leaves Lower-Income Workers Behind
Source: The Straits Times
Researchers studying AI inequality among young Singaporeans found themselves facing a revealing data problem: they could barely recruit lower-income respondents because those young adults felt they knew too little about artificial intelligence to participate.
Researchers studying AI inequality among young Singaporeans found themselves facing a revealing data problem: they could barely recruit lower-income respondents because those young adults felt they knew too little about artificial intelligence to participate. The finding, from a research team including NUS academics Irene Y.H. Ng, Tan Zhi Han, V Deepa and Aaron Lim and reported by The Straits Times, highlights a quietly widening engagement gap between Singaporeans who eagerly adopt AI tools and those who see the technology as irrelevant to their daily lives.
Every AI development in Singapore adds another data point to the city-state's ongoing transformation, but the benefits are not landing evenly. The researchers spent months working through social workers to reach lower-income young adults, with limited success. Their higher-income peers, by contrast, were eager to discuss experiments with ChatGPT, Claude, and the latest image generators. The disparity mirrors a broader pattern flagged in the study: AI could widen the bifurcation between white-collar and blue-collar jobs, with workers who have limited technological exposure facing a steeper climb into higher-paying roles.
This perception gap matters because the Singapore job market is rapidly reshaping itself around AI skills. AI-related salaries in Singapore are climbing up to five times faster than average wages. Companies like Singtel are restructuring their entire org charts to manage teams of humans and AI agents side by side, while the newly opened Applied Materials S$600 million campus in Tampines will require a steady pipeline of technically literate talent. Workers who view AI as "not for them" today may find themselves locked out of the fastest-growing job categories within the next economic cycle.
Why it matters for Singapore: The AI engagement gap maps directly onto existing income inequality — and risks amplifying it. Singapore's Smart Nation push and SkillsFuture programmes have focused on upskilling workers who are already motivated to learn. This research suggests a harder, more fundamental challenge: reaching Singaporeans who do not yet see AI as relevant to their lives at all. For Singapore's AI transition to be truly inclusive, the next wave of policy work may need to begin with awareness and confidence-building, not just technical course offerings.