At the IMF and World Bank annual meetings in Bangkok, Singapore's President Tharman Shanmugaratnam offered a warning that reframes the AI employment debate: it is not only established workers who face displacement, but young people who may never find the first foothold at all. The entry-level job — long the threshold through which generations have crossed into economic life — is quietly contracting in the sectors most shaped by artificial intelligence. Speaking to the world's most powerful economic stewards, Shanmugaratnam suggested that this is not a future problem to be modeled, but a presen
Singapore's President warns AI is dampening entry-level job demand for graduates
Fresh graduates face reduced employment opportunities and entry-level job availability due to AI automation.
The first rung in employment is now seeing less demand
Mark
So he's saying AI is taking entry-level jobs. But hasn't automation always done that? Why is this moment different?
Mimi
The difference is scale and speed. Entry-level jobs have historically been where you learn, where you build a resume, where you prove yourself. If those disappear before you even get hired, there's no pathway in.
Luke
But we should be careful here. He said the evidence is "clearest" in AI-exposed sectors. That's not the same as saying it's happening everywhere. Do we know how many entry-level positions have actually been cut?
Mimi
That's fair. The speech doesn't give us numbers. But he's the President of Singapore, speaking at the IMF. He wouldn't raise this if it wasn't something his government is already seeing in data.
Mark
And the "new divergence" between rich and poor countries—what does that mean in practice?
Mimi
It means developing economies have more young people entering the workforce, fewer resources to retrain them, and potentially less access to the jobs that would normally absorb them. Meanwhile, richer countries can invest in education and support systems.
Luke
Again, though—that's a concern he's naming, not something he's documented happening yet. The speech is a warning, not a report.
Mark
So what should governments actually do about this?
Mimi
That's the question Shanmugaratnam didn't answer. He identified the problem and said it needs addressing "very soon." But the specifics are still being figured out.
Luke
Which means this is really a call for other governments to start thinking about it, not a solution he's already implemented in Singapore.
Mark
Got it. So we're at the stage where leaders are sounding the alarm, but the policy response hasn't been written yet.
Il Polso
- The traditional first job after graduation — the rung at the bottom of the career ladder — is disappearing fastest in the industries where AI has proven most capable of replacing routine human work.
- Singapore's president brought this warning not to a technology conference but to the IMF and World Bank annual meetings, signaling that AI's effect on early-career employment has become a matter of urgent macroeconomic governance.
- The deeper alarm is structural: young people are not being displaced from jobs they held — they are being blocked from jobs they were supposed to enter, losing the formative experiences that build human capital over a lifetime.
- Shanmugaratnam raised the specter of a 'new divergence,' in which developing economies — with larger youth populations and fewer resources for retraining — fall further behind wealthy nations not through trade imbalances, but through unequal access to the entry points of economic life.
- No specific policy solutions were offered, but the framing was deliberate: governments that wait for markets to self-correct may find the structural damage to a generation already done.
At the IMF and World Bank annual meetings in Bangkok, Singapore's President Tharman Shanmugaratnam offered a warning that reframes the AI employment debate: it is not only established workers who face displacement, but young people who may never find the first foothold at all. The entry-level job — long the threshold through which generations have crossed into economic life — is quietly contracting in the sectors most shaped by artificial intelligence. Speaking to the world's most powerful economic stewards, Shanmugaratnam suggested that this is not a future problem to be modeled, but a present one to be governed, and that the cost of inaction will fall most heavily on the nations least equipped to absorb it.
Standing before the finance ministers and central bankers gathered in Bangkok for the IMF and World Bank annual meetings, Singapore's President Tharman Shanmugaratnam delivered a warning that reorients the familiar conversation about AI and jobs. The concern he raised was not about workers being displaced mid-career. It was about the pathway into working life itself — the entry-level position — contracting before young people ever have a chance to step onto it.
"The evidence is already very clear," he said, noting the effect is most visible in the sectors where AI has proven most capable of substituting for human labor: data processing, basic analysis, customer service, administrative work — the very roles that have historically absorbed new graduates and given them the foundational experience to build careers.
What distinguishes Shanmugaratnam's framing is the specificity of the structural problem he named. Losing a mid-career job to automation is one kind of disruption. Never gaining access to the first job — the one that teaches you how to work, how to grow, how to become employable — is another kind entirely. The ladder remains, but its lowest rung is being removed.
He also raised a second, longer-horizon concern: the risk of a new divergence between wealthy and developing nations. Advanced economies may have the resources to invest in retraining and social support as this transition unfolds. Poorer countries, with larger youth populations and fewer fiscal tools, face a starker arithmetic. If entry-level opportunities contract faster where resources are thinnest, the gap between rich and poor nations could widen — driven not by trade or investment, but by who gets access to the early-career experiences that build human capital in the first place.
Shanmugaratnam offered no specific policy prescriptions, but his choice of forum and the urgency of his language carried their own message: this is no longer a concern for labor economists alone. It has arrived at the table where the world's economic architecture is debated, and waiting for markets to resolve it is not, in his view, a viable answer.
Singapore's President Tharman Shanmugaratnam stood before the assembled finance ministers and central bankers at the IMF and World Bank annual meetings in Bangkok on Monday with a warning that cuts to the heart of how artificial intelligence is reshaping the global economy: the first job after graduation is disappearing.
The problem, as Shanmugaratnam framed it, is not some distant concern for policymakers to study. It is urgent. Entry-level positions—the traditional gateway for new graduates into the workforce—are experiencing measurable erosion in demand, and the trend is already visible enough that governments cannot claim ignorance. "The evidence is already very clear," he said, "it's clearest in the most AI-exposed sectors."
What makes this observation significant is not merely that jobs are being lost to automation. That conversation has been ongoing for years. Rather, Shanmugaratnam identified a specific structural problem: the rung at the bottom of the employment ladder, where young people have historically entered the workforce and built foundational skills, is being hollowed out. This is not the same as mid-career disruption or the displacement of workers in established roles. This is about the pathway itself contracting before people even have a chance to step onto it.
The sectors where this effect is most pronounced are those where artificial intelligence has already proven most capable—those industries where the technology can most directly substitute for human labor in routine, well-defined tasks. These are often the same sectors that have traditionally absorbed large numbers of entry-level workers: data processing, basic analysis, customer service, administrative work, and similar roles that once served as training grounds for early-career professionals.
Beyond the immediate concern for this year's graduates and those to come, Shanmugaratnam raised a second worry: the risk of what he called a "new divergence" between developing and advanced economies. The implication is stark. Wealthy nations with resources to invest in education, retraining, and social support systems may weather this transition. Developing economies, with fewer resources and larger populations of young people entering the job market, face a different calculus. If entry-level opportunities contract faster in poorer countries than in rich ones, the gap between them could widen significantly—not because of trade or investment patterns, but because of who gets access to the early-career jobs that build human capital.
Shanmugaratnam's intervention at one of the world's most important economic forums signals that this is no longer a concern confined to labor economists or technology analysts. It has reached the level of national leaders grappling with how to govern in an age of rapid AI deployment. His call for governments to "address" the problem is notably vague about solutions—he offered no specific policy recommendations—but the urgency in his framing suggests that waiting for market forces to sort this out is not an option he believes governments can afford.
Citazioni salienti
The first rung in employment, your first job upon graduation, is now seeing less demand— Singapore President Tharman Shanmugaratnam
The evidence is already very clear, it's clearest in the most AI-exposed sectors— Singapore President Tharman Shanmugaratnam
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Politics & Governance