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AI’s “Slow-Moving Tsunami” Could Reshape Jobs—and Hit Graduates First
The IMF estimates AI could augment, downgrade or eliminate about 40% of jobs worldwide over time—60% in advanced economies and 23% in low income countries. Their proposed responses included incentives for employers to hire graduates, more work based learning and practical AI applications tailored to local needs.
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- The IMF estimates AI could augment, downgrade or eliminate about 40% of jobs worldwide over time—60% in advanced economies and 23% in low income countries.
- Their proposed responses included incentives for employers to hire graduates, more work based learning and practical AI applications tailored to local needs.
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openai.comCreate a landscape editorial hero image for this Studio Global article: What did IMF Managing Director Kristalina Georgieva, Singapore President and World Bank Jobs Council co-chair Tharman Shanmugaratnam, and Wo. Article summary: At the October 12, 2026 IMF–World Bank meetings in Bangkok, Georgieva described AI as a “slow-moving tsunami”: a lasting disruption to employment, education and taxation, even as AI investment supports growth. Tharman ur. Topic tags: general, general web. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, watermarks, charts with fake numbers, clic
At the October 12, 2026 IMF–World Bank annual meetings in Bangkok, IMF Managing Director Kristalina Georgieva called AI a “slow-moving tsunami” for jobs, education and government finances. Her warning came with a counterpoint: AI investment is also supporting economic growth. Singapore President Tharman Shanmugaratnam focused on the squeeze on graduates’ first jobs, while World Bank President Ajay Banga emphasized practical AI uses that can boost productivity. 3
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What the IMF’s job estimates do—and don’t—say
The IMF estimates that AI could affect about 40% of jobs worldwide over time. The estimate includes jobs that may be augmented, downgraded or eliminated; it does not mean that 40% of jobs will disappear. Georgieva cited higher exposure in advanced economies, at about 60%, and lower exposure in low-income countries, at 23%. 1
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That lower figure is not a guarantee of protection. One report says lower exposure in poorer economies reflects slower AI adoption, rather than immunity from the effects of the technology. The percentages describe jobs affected, not a country’s readiness to manage that change. 18
Why graduates’ first jobs are a concern
Tharman warned that the first rung of the employment ladder is under pressure as employers’ demand for fresh graduates declines. 13
28 Routine and repetitive tasks—often part of entry-level work—are already being taken over by AI, while some new jobs are lower-paid, including work in construction. Georgieva cautioned that this is not, on its own, a reassuring replacement for the opportunities being lost.
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Reporting on Tharman’s remarks also says he pointed to weaker U.S. demand for graduates and a falling wage premium for college graduates compared with non-graduates. 26 The concern is not simply whether new roles appear, but whether young people can get the first work experience that helps them build skills and careers. Tharman argued that delayed entry into work can cost graduates time to develop those skills; another account quoted him warning that prolonged uncertainty can erode trust in the future.
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The policy response: support hiring and connect education to work
Tharman called for governments to work with private employers to encourage graduate hiring, including through employment support measures modeled on those used during past crises. 10
13 He also argued for stronger links between university study and workplace experience, including internships, work-study programs and other practical learning.
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Banga underlined the scale of the youth employment challenge: a CNBC report says he cited 1.2 billion young people expected to reach adulthood over the next 15 years and called for private capital to help create jobs for them. 10 That makes job creation a shared policy and business challenge—not one that can be addressed solely by teaching workers to use new tools.
AI’s growth potential—and the tax question
Georgieva warned that AI could complicate government finances if income shifts from labor toward capital, weakening tax revenues. 6
15 At the same time, investment in AI infrastructure was helping keep global growth near 3%, according to reporting on her remarks.
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She also described potential growth gains across Asia: AI adoption could add 0.5 to 1 percentage point to growth in advanced Asian economies and 0.2 to 0.8 percentage point in emerging Asian economies. These are potential gains, not guaranteed outcomes. 12
22 AI could also help offset some of the economic drag from Asia’s aging populations, according to reporting on the meeting.
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For developing economies, Banga’s proposed emphasis was on “small AI”: practical applications for areas such as agriculture, healthcare and education, rather than trying to compete directly in building the largest AI models. 35
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The central message: productivity gains need a jobs strategy
The leaders’ remarks point to a gap policymakers will have to manage: AI may raise productivity and support growth, but those benefits do not automatically create accessible first jobs or protect public revenues. Their proposed response was to prepare for both sides of the change—encouraging employers to hire young people, making education more connected to work, and adapting tax policy as the distribution of income shifts. 3
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The IMF estimates AI could augment, downgrade or eliminate about 40% of jobs worldwide over time—60% in advanced economies and 23% in low income countries.
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The IMF estimates AI could augment, downgrade or eliminate about 40% of jobs worldwide over time—60% in advanced economies and 23% in low income countries. Their proposed responses included incentives for employers to hire graduates, more work based learning and practical AI applications tailored to local needs.