SINGAPORE — The biggest threat artificial intelligence poses to Singapore’s workforce may not be mass layoffs — at least not yet.
Instead, AI is beginning to change something more immediate: the jobs people already do.
A new CNA commentary argues that Singapore’s AI transition cannot succeed simply by telling workers to learn new digital skills. Companies will also need to rethink job scopes, responsibilities, performance expectations and management practices as AI becomes embedded in everyday work.
That distinction is becoming increasingly important as Singapore accelerates its push to become an AI-driven economy.
For an employee, the change may not arrive as a termination letter. It could arrive as a new instruction from a manager: use an AI assistant, automate part of the workflow, produce more in less time or learn a new tool.
The question then becomes: is AI helping workers do better work — or simply asking them to do more work?
AI may be changing jobs before it replaces them
The CNA commentary by Nanyang Technological University associate professor Trevor Yu Kang Yang points to a fundamental difference between previous waves of economic restructuring and the AI era.
In earlier transformations, workers often moved from declining industries into new and higher-value occupations.
AI can be different.
Workers may remain in the same occupation while the tasks inside that occupation change dramatically.
A customer-service employee, for example, might use AI to summarise previous interactions, recommend responses and identify possible solutions. But the human worker still has to decide whether the AI recommendation is accurate, determine when additional questions are needed and handle situations requiring empathy or judgement.
The same pattern could affect accountants, marketers, analysts, HR professionals and other knowledge workers.
As AI handles more routine information gathering, drafting and preliminary analysis, humans may increasingly be expected to focus on decision-making, problem-solving, interpretation, relationships and judgement.
Singapore’s own data shows the transition is still in its early stages
Singapore’s Ministry of Manpower reported in April that 28.5% of firms had started adopting AI, while only 3.8% were integrating AI into their core processes. Most firms were still planning or piloting their AI use.
MOM subsequently said there was no indication of widespread job displacement from AI.
Among firms that had adopted AI, only about 6% reported reduced headcount, while job redesign and the creation of new AI-related roles were more common. About seven in 10 AI-adopting firms reported productivity gains.
That suggests Singapore’s immediate AI story is less about robots taking over entire occupations and more about companies reorganising how work gets done.
But that does not mean workers can relax.
AI skills are becoming a bigger part of the job market
PwC’s 2026 Global AI Jobs Barometer found that AI-related skills are becoming significantly more prominent in Singapore’s labour market.
Its analysis of about 1.6 million Singapore job postings from 2025 found that roles requiring AI skills accounted for 5.3% of postings, up from 3.3% the previous year. That represented roughly 30,000 more AI-skilled job postings than in 2024.
The implication is clear: workers do not necessarily need to become AI engineers.
They increasingly need to understand how AI applies to their own profession.
That could mean learning how to evaluate AI-generated information, automate repetitive tasks, work with AI-assisted software, manage AI-driven workflows or make decisions where human judgement remains essential.
The government is preparing for a workforce that works alongside AI
Singapore has also begun building a broader support system around the AI transition.
Under the National AI Impact Programme, the government aims to support 100,000 workers in becoming “AI Bilingual” — combining AI fluency with expertise in their own fields. The programme also aims to support 10,000 enterprises in advancing their AI adoption over three years.
The government announced that Singaporeans taking selected SkillsFuture AI courses would receive six months of free access to premium AI tools, beginning in the second half of 2026, to encourage practical use and experimentation.
Singapore is also strengthening institutional support for workers navigating career and skills transitions.
But training alone may not solve the problem
This is where the CNA commentary makes its strongest argument.
Simply sending employees to an AI course does not automatically make an organisation AI-ready.
If workers return from training and are still expected to perform their old responsibilities, meet the same targets and learn new AI tools on top of everything else, AI could become another source of pressure rather than a productivity tool.
Companies therefore have to answer practical questions:
Which tasks should AI handle? Which decisions should remain human? How should responsibilities change? And how should employee performance be assessed when AI is part of the workflow?
CNA argues that job redesign needs to become a deliberate management exercise rather than something workers are expected to figure out themselves.
Businesses are already showing what the next phase could look like
The transformation is not merely theoretical.
Reuters reported in July that HSBC plans to hire more than 100 AI specialists and 100 wealth managers in Singapore, while establishing a new AI centre in the city in the second half of 2026.
The bank said it was seeking expertise in areas including natural-language processing, data science, AI governance and human-centred design.
That example highlights the more complicated reality of AI and employment.
The same technology that can automate certain tasks can also create demand for new expertise — including people who understand both AI systems and the industries in which those systems operate.
The real AI jobs question may be bigger than job losses
Singapore’s AI transition therefore presents a more complicated picture than the familiar question of whether artificial intelligence will “take our jobs.”
For now, the evidence does not show widespread AI-driven job losses in Singapore.
But it does show job transformation, rising demand for AI-related skills, productivity gains and growing pressure on employers to redesign work.
The risk is that companies adopt AI faster than they redesign the jobs around it.
If that happens, employees could find themselves responsible for the same targets while simultaneously being expected to master new technology, automate tasks and increase output.
The more successful model may be the opposite: use AI to remove low-value work, give employees time to develop new capabilities and shift human effort toward tasks where judgement, creativity, empathy and accountability matter most.
Singapore’s government can establish the policies, funding and training infrastructure.
But the real AI transition will happen inside individual workplaces — through millions of decisions made by managers and employees about what machines should do, what humans should do and what a “good job” looks like in an AI-powered economy.
And that may be the biggest test ahead: not whether Singapore can adopt AI, but whether it can make AI adoption translate into better jobs rather than simply more demanding ones.
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