Are any jobs safe from AI? For many workers in Singapore, the honest answer feels like no. According to ADP’s People at Work 2026 report, only 15% of workers here feel confident their jobs are secure.
The same report also found that younger workers aged 18 to 26 were the most confident group in Singapore, at 22%, and knowledge workers reported similarly higher confidence at 21%. Confidence is not evenly spread. Some roles and some workers are adapting better than others, and understanding why is more useful than reacting to the headline figure alone.
This article looks at what is changing at entry level, and ten types of roles where human skills continue to matter, regardless of how far AI adoption goes.
Quick Takeaways
- Only 15% of workers in Singapore feel confident their jobs are secure, though younger and knowledge workers report higher confidence than the national average.
- The entry-level bar is rising, not disappearing, with fresh graduates now expected to bring the equivalent of two years’ relevant experience.
- Roles built on judgement, trust and adaptability, from healthcare to leadership to negotiation, are proving harder to automate than technical roles alone.
- Human skills like communication and critical thinking are what determine whether AI adoption actually sticks, not just technical training.
Table of contents
What’s Changing at Entry Level
The clearest sign of this shift is showing up at the start of people’s careers, not the end.
As reported by The Straits Times, speaking at a panel titled The Future of Work: Jobs and Skills in an AI-Powered World, Singtel’s Singapore chief executive Ng Tian Chong shared what this looks like in practice:
- Fresh graduates hired by the company are now expected to come in with the equivalent of around two years of relevant work experience.
- This is happening as AI tools take over certain entry-level tasks and workflows get redesigned around them
- Entry-level jobs are not vanishing, but the bar for what counts as “entry-level” is moving.
- Internships and early work experience that build real, applied skills are becoming more valuable than a degree alone.
Panellists at the same event also pointed to leadership and communication skills as key differentiators, the kind of capabilities that do not show up on a transcript but matter once someone is actually on the job.
For anyone early in their career, or advising someone who is, the takeaway is practical: build real experience and human-facing skills alongside technical knowledge, rather than treating either as optional.
Related Article: Will AI Replace Your Job in Singapore? Not If You Do This First
10 Roles Where Human Skills Matter Most
Across industries, the roles holding up best against AI disruption tend to share a few things in common: they involve judgement calls with real consequences, they depend on trust built over time, or they require navigating ambiguity that a model cannot fully resolve on its own.
Here are 10 roles where that human edge continues to matter most:
1. Healthcare and caregiving roles
Diagnosing a patient is one thing. Delivering difficult news, managing a patient’s fear, and making judgement calls in situations with incomplete information is another. AI can support healthcare workers with data and pattern recognition, but the human relationship at the centre of care remains difficult to replace.
2. Sales and client-facing roles
Closing a deal often depends on reading a client’s hesitation, adjusting tone in real time, and building the kind of trust that takes months to establish. AI can help with research and outreach, but relationship-driven sales still relies heavily on human instinct.
3. Skilled trades
Electricians, plumbers, and technicians work in physical environments that are rarely predictable. Every job site is different, and the ability to troubleshoot on the spot is not something current AI systems can replicate at scale.
4. Teaching and training roles
Effective teaching involves reading a room, adjusting explanations on the fly, and motivating people who are struggling. AI can support lesson planning and content delivery, but the human connection that keeps learners engaged is harder to automate.
5. Leadership and people management
Managing a team involves conflict resolution, motivation, and judgement calls about people that go beyond data. AI tools can support decision-making with information, but the accountability and interpersonal skill required to lead a team remains a human responsibility.
6. Creative direction and strategy roles
AI can generate content quickly, but deciding what a brand should say, how a campaign should feel, and why a particular creative direction fits a specific audience still requires human taste and strategic judgement.
7. Negotiation-heavy roles
Procurement, business development, and legal negotiation all involve reading people, understanding leverage, and making real-time decisions under pressure. These are highly contextual skills that resist full automation.
8. Crisis and emergency response roles
Whether in healthcare, law enforcement, or workplace safety, roles that require fast judgement under high-pressure, high-stakes conditions depend on human accountability and split-second decision-making that carries real consequences.
9. Complex project management
Coordinating people, timelines, and shifting priorities across teams requires constant negotiation and adaptability. AI can help track progress, but managing the human dynamics of a project remains a people-first skill.
10. Roles requiring regulatory or ethical judgement
Compliance, auditing, and governance roles involve interpreting rules in context and taking responsibility for decisions where the rules are not always black and white. This kind of accountable judgement is not something that can be outsourced to a model.
How to Position Yourself, Regardless of Your Role
The common thread across all ten roles above is not a specific technical skill. It is judgement, communication, and the ability to navigate situations that do not follow a predictable pattern.
This does not mean technical skills do not matter. It means they are no longer enough on their own:
- Building AI literacy is still worthwhile, since understanding how these tools work makes it easier to use them well
- Pairing that with stronger communication, critical thinking, and leadership skills is what tends to separate workers who adapt comfortably from those who feel left behind
- Courses that build these exact skills, from workplace communication to critical thinking to leadership under uncertainty, such as those offered under Vertical Institute’s soft skills courses and AI-integrated programmes, give working professionals a structured way to strengthen this combination, rather than trying to figure it out on the job alone
No job is entirely immune to change. But roles built around human judgement, trust, and adaptability are proving far more resilient than the headlines suggest, and that resilience is something workers can actively build toward, rather than wait to see if they have it.
Where to Start Building These Skills
The roles above all lean on a similar mix of human capabilities: judgement, communication, and the ability to manage people and pressure well. Vertical Institute’s Critical Soft Skills courses are built around this exact mix, and map closely to what the roles above actually require:
- Leading with Clarity: From Strategy to Team Results – for anyone moving into or already in people management, where translating strategy into results depends on how well a team is led.
- Manage and Strengthen Customer Relationships – directly relevant to sales, client-facing, and relationship-driven roles where trust is the differentiator.
- Effective People and Relationship Management – supports leadership and project management roles that depend on navigating team dynamics.
- Critical Thinking & Problem Solving – the skill named most consistently across workforce reviews as one AI cannot fully replace, and central to roles involving regulatory, ethical, or high-stakes judgement.
- Effective Presentation and Storytelling – useful for leadership, creative direction, and any role where ideas need to land with an audience, not just exist on paper.
- Manage Stress and Build Mental Resilience – relevant to crisis response, healthcare, and any high-pressure role where composure under pressure matters.
- Managing Conflict in the Workplace – supports negotiation-heavy roles and team leadership, where unresolved friction quietly erodes performance.
- Enhance Personal Growth & Increase Productivity – a broader course for anyone early in their career trying to build the habits that support long-term adaptability.
These courses are not a substitute for technical or industry-specific skills. They are the layer that determines how well those technical skills get applied, which is exactly the gap the roles above are built around.
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FAQs Jobs Safe from AI
How do I know if my job is at risk from AI?
Jobs with a high share of repetitive, rules-based tasks tend to be affected first, while roles built around judgement, communication or physical adaptability tend to hold up better. A useful exercise is listing out your regular tasks and noting which ones could realistically be done by a tool today, versus which ones depend on context only you can provide.
As AI handles more routine and technical work, the tasks left to people increasingly involve judgement calls, communication, and navigating situations without a clear right answer. These are the skills that determine how well someone applies their technical knowledge, not a replacement for it.
Based on current workforce reviews, critical thinking, communication, and the ability to manage change or ambiguity are consistently named as the skills that hold up best. Leadership and relationship management also matter for anyone moving into more senior or client-facing roles.
These courses typically come with up to 70% course subsidy, with SkillsFuture Credits usable to help offset the balance. Post-Secondary Education Account (PSEA) funds can also be used to pay any remaining fees. Funding eligibility varies, so it is worth checking current criteria before enrolling.
The two are complementary rather than separate tracks. AI upskilling helps with using tools effectively, while soft skills training builds the judgement, communication and adaptability needed to apply those tools well in real workplace situations. Most workforce reviews recommend building both, rather than treating one as more urgent than the other.
No. Most professionals are still early in their AI adoption journey, and foundational courses are built for exactly this stage. Starting now, even at a basic level, puts you ahead of waiting until it feels urgent.
Building Your Own Resilience
Adapting to AI is less a technical challenge than a human one. As Martin Li, a Gen AI trainer at Vertical Institute, has noted, AI training often fails quietly, not because people lack the skills, but because they feel threatened by how quickly a tool can replicate work they spent years mastering.
The workers and roles who adapt well tend to share three habits: staying comfortable with ambiguity, asking sharper questions instead of just faster ones, and treating AI output as a starting point for discussion rather than a final answer. These are the same human skills covered throughout this article, and they matter more than any single piece of software ever will. Start with whichever one feels least natural to you, and build from there.
