IMF Calls AI a 'Slow-Moving Tsunami' for Global Jobs as World Bank Pushes Permanent Crisis-Era Support

BANGKOK — The debate over whether artificial intelligence will disrupt work is effectively over; the question now is what governments intend to do about it. Speaking at a panel during the IMF and World Bank annual meetings on Monday, IMF Managing Director Kristalina Georgieva described AI as "a slow-moving tsunami, but tsunami nonetheless" for the global labor market — and named the group she worries about "first and foremost": young people entering the workforce.

The IMF estimates that roughly 40% of jobs worldwide will eventually be augmented, downgraded or eliminated by AI. Exposure runs at about 60% in advanced economies versus 23% in low-income countries, though Georgieva cautioned that the lower figure in poorer nations simply reflects that the technology is further away — not that those workers are safer from what is coming.

Her concern about young workers is structural rather than cyclical. Entry-level employees traditionally start in routine, repetitive roles and climb from there — precisely the tasks current AI systems perform most cheaply. "Normally, they would get into these routine, repetitive jobs and then grow up the ranks," she said. Singapore President Tharman Shanmugaratnam, co-chairing the World Bank's Jobs Council on the same panel, cited a stark US datapoint: for the first time in a century, demand for university graduates has declined, and the wage premium attached to a degree is shrinking with it.

Tharman's prescription is to make the emergency labor-market tools deployed during the pandemic and the global financial crisis permanent rather than exceptional. "The first rung in employment, your first job upon graduation, is now seeing less demand," he said, urging governments to work with the private sector and incentivize firms to hire fresh graduates. World Bank President Ajay Banga framed the demographic scale of the problem: 1.2 billion young people will turn 18 over the next 15 years, and with the private sector generating 75% to 85% of jobs in any given country, "it is private capital that creates jobs." Governments, in his telling, should build infrastructure, set policy and de-risk private capital so it can deploy at scale.

AI is also, for now, the main engine propping up growth. Georgieva said AI-related investment and trade have helped keep global expansion near 3% this year despite an energy supply shock, and estimated that AI adoption could lift growth by 0.5 to 1 percentage point in advanced Asia and 0.2 to 0.8 points in emerging Asia — at the high end, more than offsetting the drag from aging populations. But she flagged a fiscal sting inside that story: AI tilts income toward capital and away from labor, and labor has long been the backbone of government tax revenue.

Tharman added a warning aimed squarely at fast-growing emerging Asia: China, India and developing Southeast Asia are "growing quite well, but job creation is weak," and AI "is going to widen that divergence if we are too passive about it."

What changed in Bangkok is the posture, not the forecast. For two years, official institutions hedged on AI's labor effects with scenario language; this week the IMF put a number on exposure and the World Bank's own jobs council recommended crisis-era instruments as standing policy. The next phase of the argument is fiscal — who pays for retraining and graduate hiring incentives — and it arrives at an awkward moment, when the private AI capital boom is absorbing precisely the financing capacity governments would otherwise tap for those programs.