There is a particular kind of anxiety that settles over Singapore parents. It is not loud. It does not announce itself at dinner tables or meet the parent meetings. It lives, instead, in the small hesitations before clicking register on another enrichment class, in the private Google searches at midnight, in the nagging sense that the world is moving faster than any one family can track.

For a long time, the answer to that anxiety felt knowable. Study hard. Excel in mathematics. Learn to code. These were not just parental instincts — they were, in some sense, national ones. Singapore built its prosperity on exactly this compact: invest in your children’s skills, and the economy will reward that investment. What is shifting now, quietly but unmistakably, is the nature of the skills being rewarded.

On 1 October 2024, Prime Minister Lawrence Wong launched Smart Nation 2.0 at Punggol Digital District. In his speech, Mr Wong described AI as a general-purpose technology in the same category as steam power and the internet — technologies that “touch every industry and every aspect of life.” He was direct about what this means for the country’s children: they are born digital natives, but deliberate exposure to AI remains essential. Not so that every child becomes an engineer, but so that every child can harness AI’s potential in whatever field they choose to pursue.

Singapore’s National AI Strategy 2.0 commits more than S$500 million to AI development and adoption. A further S$120 million was set aside to accelerate AI adoption across businesses. The Enterprise Compute Initiative announced in Budget 2025 adds another S$150 million for companies to access AI compute infrastructure. These are not pilot programmes. They are structural investments in a future the government believes is arriving faster than most people realise.

The workforce is already feeling it. Data from IMDA’s 2025 Singapore Digital Economy pulse survey found that three in four workers now regularly use AI tools at work, with 85 percent of those reporting improved workflows. At the professional level, AI has arrived. The question that lingers is what about the children?

Here is something that tends to get lost in conversations about national AI strategy: policies are designed for the workforce of today. The children sitting in classrooms right now will not enter that workforce for another ten to fifteen years. By then, the landscape will have changed in ways that even Singapore’s most careful planners are still modelling.

Generative AI has not behaved like a gradual shift. It has behaved more like a sudden compression of time — one where the skills that mattered five years ago are not necessarily the ones that will matter five years from now. Data from SignalFire found that fresh graduates made up just 7 percent of new hires at large technology companies in recent years — roughly half the rate from the pre-pandemic period. A 2025 survey by LeadDev found that a majority of engineering managers expected junior developer hiring to decline in the long term as a direct consequence of AI tools. As Harvard computer science professor David Malan observed, expectations for new graduates have fundamentally shifted: they need to slot in at a higher level almost from day one. The ladder is not gone. But it has fewer rungs.

Singapore’s Ministry of Education and IMDA have jointly run the Code for Fun programme for years, reaching primary and secondary school students with foundational exposure to computational thinking, programming, and robotics. From 2025, the programme has been expanded to include new AI for Fun modules — giving students hands-on experience with generative AI tools, prompt engineering, and AI-integrated robotics. The Smart Nation Educator Fellowship is designed to equip teachers with a deeper understanding of digital trends. At the tertiary level, Singapore’s universities have been integrating AI into courses across disciplines.

And yet — here is the gap that many parents sense without quite being able to articulate — most of what is available in mainstream schooling still sits at the level of introduction. A module. A workshop. Structured exposure to a new concept. What is rarer is sustained, developmental engagement with AI as a tool for building and creating. There is nothing wrong with introduction. But for a child who is seven years old today, introduction alone may not be enough.

Somewhere between the policy announcements and the school registration portals, parents are asking a simpler question: my child is curious, capable, and nine years old. I want to give her the best possible start. What does that actually mean right now?

For a long time, the answer pointed clearly toward coding. Learn Python. Learn Scratch. Understand how software works. These were defensible choices — and for many children, they remain valuable. But here is the question quietly forming beneath that one: if AI tools are increasingly writing the code, what is the point of a child memorising syntax?

The skills that appear most durable — based on the World Economic Forum’s Future of Jobs Report 2025, which surveyed more than 1,000 employers representing 14 million workers across 55 economies — are not primarily technical in the narrow sense. Analytical thinking tops the list of skills employers consider most essential. Creative thinking, resilience, and the ability to work alongside intelligent systems follow closely. The report projects that 39 percent of workers’ core skills will change by 2030. What this suggests is not that technical skills have become irrelevant. It is that the premium has moved — from the ability to produce code to the ability to think clearly about what to build, and why, and for whom.

In a classroom in Singapore, a group of primary school children is not memorising syntax. They are arguing. They are arguing about whether their idea for an app makes sense — whether the audience they have imagined actually exists, whether the problem they are trying to solve is real, whether the AI tool they are using is interpreting their instructions correctly and what to do when it is not. They are building something. And the building is messy in the way that real creative work is messy.

This is the kind of classroom that Empire AI — formerly Empire Code, a Singapore-based technology education school for children from four to nineteen — is trying to construct. Not one where children learn about AI in the abstract, but one where AI is the medium through which they learn to think. The school’s recent curriculum overhaul was prompted by a question it asked itself honestly: does what we are teaching still reflect how technology is actually being built and used?

Robotics has expanded, now incorporating AI-enabled tools alongside the physical computing that builds cause-and-effect reasoning. Block programming for younger children has shifted its emphasis: less time on executing mechanics, more time on the reasoning behind sequencing, conditionals, and logic. Game development now incorporates entrepreneurship, asking children to think about games not just as creative projects but as products with real audiences. App development for older students is being redesigned around how applications are actually built today — using AI tools, connecting to live data sources, deploying functioning projects into the real world.

The most significant change is the retirement of syntax-heavy Python and JavaScript as a core curriculum focus for younger learners. In their place: learning to build using AI as a creative and technical collaborator — understanding how to describe a problem, how AI interprets those instructions, how to evaluate what it produces, how to refine and redirect it, and how to bring something working into the world.

For young children, the foundations are physical, tangible, and relational. Children learn cause-and-effect through building things that do not work and understanding why. They learn sequencing through play. At this age, AI education is not about interacting with a chatbot. It is about beginning to understand that the world they are growing into contains systems that respond to instruction, and that giving clear, specific, purposeful instruction is itself a skill worth developing early.

For older children, the work shifts. A twelve-year-old can engage with AI tools as genuine creative partners — not because the tools are infallible, but because learning to evaluate them, correct them, and push back against their outputs is exactly the kind of critical thinking that employers increasingly need. For teenagers, the question becomes concrete: what does it mean to build something real, to understand a user’s needs, scope a project, and deploy something that works?

It is worth asking the larger question — not just whether Singapore’s children will be prepared for an AI-shaped economy, but whether Singapore could become a model for how AI-native education is done well. The conditions are unusual. Singapore has a government that moves quickly and coordinates across ministries. An education system that is, by global standards, both rigorous and capable of adaptation. A technology ecosystem with deep roots. And a culture that takes education seriously enough to change course when the evidence demands it.

Minister for Digital Development and Information Josephine Teo has spoken of the need to build a pipeline of AI-fluent talent — a phrase that matters more the earlier in the pipeline you interpret it. A workforce of AI-fluent adults begins, necessarily, as a generation of AI-fluent children. That generation is already here.

There is a scene that many Singapore parents will recognise. A child, somewhere between eight and twelve, at a laptop. Perhaps doing homework. Perhaps watching something. Perhaps, increasingly, asking an AI tool to help with a school project. What the child does in that moment — whether they accept the first output uncritically, or push back, or ask a better question, or understand enough about what the tool is doing to know when it is wrong — will be shaped, in part, by what they have been taught to do.

Singapore has always navigated uncertainty with a certain deliberateness. The Smart Nation vision, the investments in AI infrastructure, the expansion of AI for Fun modules, the Educator Fellowship — these are a government saying, in its characteristic way, that it has looked at the horizon and made its call. The question that remains is a quieter one. Not whether Singapore is ready. But whether, in all the ways that matter, my child will be.

Empire AI is headquartered in Singapore and serves students across the region.

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