IMF Managing Director Kristalina Georgieva stated Monday in Bangkok that artificial intelligence investment is sustaining global economic growth at approximately 3% despite an ongoing energy shock. Speaking during the opening day of the IMF and World Bank annual meetings, which run through October 18, Georgieva described AI as a "slow-moving tsunami" expected to eventually impact about 40% of jobs worldwide. This exposure rises to roughly 60% in advanced economies, while young workers entering the labor market are identified as being most immediately affected due to the automation of routine entry-level tasks.
Georgieva highlighted that Asian economies manufacturing AI hardware are among the primary beneficiaries, with adoption potentially adding 0.5 to 1 percentage point annually to growth in advanced nations and 0.2 to 0.8 points in emerging markets. The IMF’s July outlook noted that top net exporters of AI hardware—Taiwan, South Korea, Thailand, and Malaysia—exceeded first-quarter growth forecasts by an average of 4.4% on an annualized basis. Specifically, South Korea grew at a 7.5% pace against a projected 1.8%. However, the Fund projects 2026 global growth at 3%, down from 3.5% in 2025, largely due to Middle East conflict-driven energy price increases.
Beyond labor displacement, Georgieva warned that AI could strain public finances if income shifts from workers to capital owners, eroding traditional tax bases. Singapore President Tharman Shanmugaratnam, speaking on the same panel, noted declining demand for graduates' first jobs and cautioned that AI might widen the gap between rich and developing economies without government intervention. Meanwhile, World Bank President Ajay Banga emphasized support for "small AI" tools targeting farmers, clinics, and classrooms in emerging markets. The full World Economic Outlook update is scheduled for release on October 13.
The IMF’s assessment underscores a divergent economic reality where AI serves as both a stabilizing force for global growth and a disruptive agent for labor markets. While the technology buffers against energy shocks, particularly benefiting hardware-exporting Asian nations, the concentration of gains risks exacerbating inequality. The projection that 60% of jobs in advanced economies face exposure suggests that productivity benefits may not be evenly distributed, potentially leaving low-income countries behind simply because the technology has not yet penetrated their markets deeply enough to register high exposure scores.
From a regulatory and fiscal perspective, the warning regarding public finances highlights a structural challenge for governments reliant on income taxes. If AI accelerates the shift of value from labor to capital, traditional tax frameworks may become obsolete, necessitating new revenue mechanisms. Furthermore, the immediate impact on young workers indicates that educational and social safety nets must adapt rapidly to prevent long-term scarring of the workforce, especially as political leaders like Singapore’s President Shanmugaratnam signal growing concern over widening global disparities.
