Singapore's AI adoption push is leaving workers in the dark, and HR leaders in Singapore must act
Employers in Singapore are being urged to communicate more openly with workers about AI adoption plans. Failure to do so risks deepening workforce anxiety that could undermine productivity and trust.
Jasmin Lau, Acting Minister for Manpower and Senior Minister of State for Digital Development and Information in Singapore, delivered a speech at the launch of SG AI Xchange at Singapore Institute of Technology (SIT). Her message to business leaders was direct: employee silence is not endorsement.
"Don't take a quiet workforce for an agreeable workforce," Lau said, addressing industry executives gathered for the event.
Why does employee silence signal risk for employers?
Her remarks carry particular weight for HR leaders. As companies accelerate automation, Lau argued that workers are not simply waiting patiently. They want to know whether retrenchments are being considered and whether slower hiring is on the horizon.
She urged employers to be explicit: if automation is planned, explain what could happen to affected roles and what retraining pathways are available. If the business outlook is difficult, employers should say so. Otherwise, workers may assume every structural change is AI-driven, when business conditions are often the actual cause.
"We think that a lot more communication and transparency will help keep our workers and our companies together," Lau said.
How exposed is Singapore's workforce to AI?
The urgency behind Lau's message is backed by data. Research on how Singapore employers are approaching AI adoption shows the city-state leads the Asia-Pacific region.
A July 2026 International Labour Organization (ILO) report found that 42.2% of Singapore's total employment in 2025 was in occupations with more than minimal potential exposure to generative AI (GenAI). That figure is the highest among nine Association of Southeast Asian Nations (ASEAN) countries with comparable data.
According to the ILO, that exposure does not automatically translate to displacement. The report found no evidence of large-scale job losses and stated that widespread labour-market disruption was not yet visible.
Singapore's position at the top of the ASEAN exposure ranking makes the AI adoption challenge more acute here than almost anywhere in the region. Lau acknowledged that a portion of workers, particularly younger employees and students, hold genuine fears about AI. She said these concerns should not be dismissed as noise.
The government's push on AI adoption in Singapore
Singapore's government has been building frameworks to support workers through the transition. Its pledge to support workers through AI-driven job changes has taken shape through a series of policy measures, including a call by Deputy Prime Minister Gan Kim Yong earlier in 2026 for proactive support for employees exposed to AI disruption. That included targeted training, career guidance, and job-matching services before prolonged unemployment sets in.
The country now has close to 100 AI Centres of Excellence spanning sectors from finance to manufacturing, according to Lau. But technical capability without workforce readiness is only half the picture.
What should HR leaders do now?
The HR function sits at the intersection of both. Senior HR leaders are best placed to bridge the gap between executive AI strategy and the employee experience on the ground. Lau's remarks make clear that the government expects employers, not just government agencies, to carry that communication responsibility internally.
For people and culture leaders, this means building clear, consistent messaging around AI adoption plans. Workers need to know what is changing, what is not, what support exists, and what the realistic timeline looks like. This calls for ongoing, structured channels between managers and their teams.
Where retraining is genuinely available, it should be offered early, not after roles have already changed. Where business conditions rather than AI are driving restructuring, employers should say so directly, rather than allowing assumptions to fill the silence.
HR teams that fail to close this gap leave workers to fill it with speculation. That erodes the trust needed to carry transformation forward.
Lau's formulation is worth retaining as a benchmark for AI adoption in Singapore: a quiet workforce is not an agreeable workforce. Silence, in this environment, is a risk signal – not a green light to proceed.
