IMF flags 'split global economy' as AI boom lifts chipmakers, squeezes energy importers
Synopsis
Key Takeaways
The artificial intelligence investment surge is creating stark winners and losers across the global economy, with a handful of semiconductor-producing nations reaping outsized gains while energy-importing countries outside the technology supply chain face mounting pressure from higher import bills and the ongoing Middle East conflict. The International Monetary Fund (IMF) has described this divergence as 'a split global economy' in its October 2026 World Economic Outlook (WEO), released on 13 October 2026.
The Fund said the interplay of geopolitics and technology 'has produced a split global economy: Favorable terms of trade or technology-related exports and investment give some countries a cushion, whereas others face higher import bills and weaker demand.'
The Biggest Winners: Taiwan, Korea, and Southeast Asia
Taiwan stands as the clearest beneficiary. The IMF projected its economy to expand by 10.7% in 2026, accelerating from 8.8% in 2025, before moderating to 4.3% in 2027. The surge reflects Taiwan's dominant position in advanced semiconductor fabrication, which sits at the heart of the global AI buildout.
South Korea is forecast to grow at 3.3% in 2026, up sharply from 1.1% in 2025, 'buoyed by strong external demand for semiconductors, which supersedes the negative impact of the war,' according to the WEO. Vietnam and Malaysia are projected to grow at 8.4% and 5.2% respectively in 2026, with the IMF noting that 'several southeast Asian economies are projected to benefit from data center activity and the upturn in the global technology cycle.'
Notably, the AI hardware boom is highly concentrated. Taiwan and Korea together account for 62% of net global trade in AI-related computing hardware. On the demand side, China and the United States are responsible for more than 75% of net imports of AI-related computing hardware in 2025 and 57% of newly built data centres since 2024.
The Squeeze on Energy-Importing Economies
For countries outside this technology value chain, the outlook is considerably bleaker. The IMF warned that 'energy-importing economies with little connection to the technology value chain face the most difficult configuration: higher import costs and exchange rate pressures, weaker real incomes, more constrained fiscal space, and fewer offsetting demand impulses.' The Fund added that many low-income and vulnerable nations fall into this category, raising the risk that recent shocks 'will widen income gaps across and within countries.'
Net trade in AI hardware has risen 'exponentially' as a share of world GDP, the WEO noted, though it cautioned that this change has been 'driven by price effects rather than volumes' — a distinction that limits how broadly the boom translates into real economic activity.
India: A Domestic-Demand Exception
India emerges as a notable exception to the energy-importer squeeze. The IMF attributed India's growth trajectory to 'resilient domestic demand and robust services activity' rather than chip exports. Crucially, the Fund excluded India when it identified energy-importing emerging economies facing medium-term downgrades — a signal that India's growth model offers a degree of insulation from the current technology-geopolitics shock.
Productivity Doubts and Market Risks
Despite the investment frenzy, the IMF struck a cautious note on AI's productivity payoff. It acknowledged 'a gap between studies showing large productivity gains for specific tasks and the relatively modest effects observed in economy-wide data.' The Fund listed a potential reassessment of AI expectations among the key downside risks to its outlook.
'If expectations of AI-driven profitability and productivity gains prove overly optimistic, investment in AI-related infrastructure and technology could slow sharply,' the WEO warned. Equity markets with high concentrations of AI firms 'could be vulnerable to a broad repricing,' with the report pointing to recent volatility in technology stocks in Korea and the United States as an early signal. The IMF's longer-term prognosis links growth prospects to two pillars: readiness to adopt AI and the ability to reliably meet energy needs — a dual test that much of the developing world is not yet equipped to pass.