The IMF says AI is both an economic engine and a looming social challenge — and the benefits are concentrated in a handful of Asian exporters.
Speaking in Bangkok at the IMF–World Bank annual meetings, Managing Director Kristalina Georgieva credited AI-related spending with keeping global growth near 3% despite an energy shock that has dragged on much of the world. She singled out countries that build the underlying hardware — notably Taiwan, South Korea, Thailand and Malaysia — as the biggest winners. The IMF estimates AI adoption could boost annual growth by 0.5–1 percentage point in advanced economies and 0.2–0.8 points in emerging markets; at the high end, that gain could more than offset the economic drag of aging populations.
The payoff is already visible. In its July outlook update, the IMF found the top four net exporters of AI hardware outperformed first-quarter growth forecasts by an average of 4.4% (annualized). South Korea, in particular, grew at a 7.5% annualized pace versus the Fund’s 1.8% projection in April. Georgieva also noted that AI hardware and related tech now account for more than 10% of global goods trade, and she warned that AI investment as a share of GDP is on track to exceed the scale of past infrastructure builds — think railroads or the electricity grid.
But the boom is uneven. Georgieva cautioned that much of the world is being bypassed by the AI supply chain. The IMF projects global growth of about 3% in 2026 (down from 3.5% in 2025), with higher energy prices from the Middle East conflict weighing on the outlook.
On jobs, the IMF used the phrase “slow-moving tsunami.” It expects AI to eventually touch roughly 40% of jobs worldwide, in many cases downgrading or eliminating roles. Exposure is concentrated in richer countries — around 60% in advanced economies versus roughly 23% in low-income countries, a gap the Fund attributes partly to the fact that AI hasn’t reached many poorer nations yet. Young people entering the workforce are particularly vulnerable because AI tends to absorb routine tasks that form the backbone of entry-level roles.
Singapore President Tharman Shanmugaratnam added that demand for graduates’ first jobs is already falling, warning that without policy action AI could widen the gap between rich and developing economies. Georgieva also flagged fiscal risks: if AI shifts income from labor to capital, governments could lose tax revenue that currently comes mainly from wages.
The World Bank’s Ajay Banga said the bank is supporting “small AI” tools — solutions that don’t rely on large language models and are tailored for farmers, clinics and classrooms in emerging markets. Georgieva further warned that the AI build-out is adding to inflation and that major AI companies’ heavy borrowing to fund expansion could amplify market fallout if earnings disappoint.
Practical note: the IMF will publish its full World Economic Outlook at 9 a.m. Bangkok time on October 13 (10 p.m. Monday in New York), with the first revision to its 3% global growth forecast since July.
What this means for crypto readers: AI-driven growth and higher tech investment are reshaping capital flows and risk appetites. Inflationary pressures, shifting labor incomes, and concentrated hardware gains can affect macro policy and institutional allocations — factors that matter to crypto markets, blockchain startups, and investors looking for tech-adjacent opportunities.