AI Is Making Singapore's Gen Z Workers More Productive — and Raising the Bar on What Employers Expect

There's a quiet shift happening in Singapore's offices, and it's not just about which AI tool teams are adopting. The real story is what happens after adoption: young workers say AI has made them faster, but the time they save hasn't translated into lighter workloads. Instead, expectations have risen — and the productivity gains from AI are being absorbed back into higher output demands.

These findings come from a CNA Money Mind survey of 3,628 employed citizens and residents aged 21 to 29 across seven Asian markets, including Singapore. Among Singaporean Gen Z workers who use AI at work, 69 per cent agreed that AI tools have raised expectations for them to produce more work in the same amount of time. That share is significant — though lower than China (85 per cent) and India (82 per cent) — and signals that the productivity paradox is taking hold locally.

The dynamic is straightforward: when a task that used to take hours now takes minutes, managers adjust their expectations accordingly. Bain and Company partner John Hazan described the pattern as AI "tending to intensify work rather than reduce it," as employees become able to take on a broader scope of work. In Singapore, where productivity growth has long been a national priority, this feedback loop between AI tooling and output expectations has particular salience. The city-state's push for digital adoption across sectors means more companies are equipping their teams with generative AI — and more young workers are feeling the pressure to demonstrate they can do more with it.

"Higher capability leads to higher output. That leads to higher expectations, which drive further expansion," Hazan said. The survey also found that Gen Z workers in competitive talent markets feel pressure to use AI not just to work faster, but to deliver higher-quality work and solve more complex problems. Assistant Professor Jack Tong from Nanyang Business School noted that young, highly educated workers in innovation-driven sectors have much greater exposure to AI, and the differentiation increasingly comes from how they apply the tools rather than whether they use them.

Why it matters for Singapore: For a country that has staked its economic future on productivity-driven growth, the Gen Z AI productivity data raises a critical question: is AI making work better, or just more intense? The survey suggests the answer is both — and Singapore's position in the middle of the pack (69 per cent, compared to 85 per cent in China and 82 per cent in India) suggests there is still room to shape how AI adoption affects workplace expectations. The risk is that without deliberate management of workload norms, the productivity dividend from AI will be captured entirely as higher output expectations rather than as improved quality of work. For Singapore's SMEs and larger enterprises alike, the data point to a need for better frameworks around AI deployment — not just training staff to use the tools, but managing how the time and quality gains are distributed.