The global economy is not facing a single crisis so much as a collision of forces. The latest outlook from the International Monetary Fund describes an expansion that has held up better than expected, yet is becoming more fragile and sharply divided between countries benefiting from artificial-intelligence investment and those exposed to higher energy costs, weaker demand and tighter financial conditions.
The IMF projects global growth of 3.1 percent in 2026, down from 3.5 percent in 2025, followed by a modest acceleration to 3.4 percent in 2027. Global headline inflation is expected to reach 4.7 percent this year before easing to 4.1 percent next year. Those figures suggest neither a worldwide recession nor a return to economic normality. They point instead to a narrow path in which growth survives while buffers against new shocks diminish. The IMF’s October World Economic Outlook calls this “resilience under strain.”
Two shocks, moving in opposite directions
The most immediate drag is geopolitical. The continuing war in the Middle East has disrupted energy markets and raised the prospect of prolonged volatility in fuel and food prices. For energy-importing economies, that operates like a tax on households and businesses: consumers have less money to spend, while companies face higher transport, production and operating costs.
Kristalina Georgieva, the IMF’s managing director, described the conflict’s impact as a “negative energy supply shock.” She contrasted it with a “positive AI demand shock,” as spending on data centres, semiconductors, software and related infrastructure supports investment and trade. Her remarks at the IMF’s annual meetings capture the central tension: technology is cushioning the global economy, but its benefits are concentrated.
Economies integrated into technology supply chains, or those enjoying favourable terms of trade, are better positioned to absorb the disruption. Lower-income countries that import energy and have limited fiscal space face a harsher combination of expensive imports, elevated borrowing costs and weaker external demand. The IMF identifies energy-importing economies outside the technology value chain as among the most vulnerable.
Why the AI boom is both support and risk
AI investment has become a significant source of demand at a moment when trade and manufacturing are under pressure. The boom creates orders for advanced chips, electricity, construction, cloud services and specialist equipment. It also raises expectations that automation and productivity gains could eventually lift output beyond the current investment cycle.
That optimism has limits. The IMF warns that technology-related investment is concentrating risks among a relatively small number of companies, industries and economies. If expected productivity gains arrive quickly, the expansion could strengthen. If investors conclude that earnings will not justify the scale of spending, a correction in technology markets could reduce investment and weaken confidence well beyond the sector.
This is not a prediction that an AI-driven downturn is imminent. It is a warning about dependence. A recovery powered by a narrow group of firms and asset markets is less evenly distributed than one based on broad household income growth and diversified investment. Countries without access to capital, advanced infrastructure or strategic technology supply chains may receive fewer benefits while still bearing the inflationary costs of higher energy and financing.
Trade tensions narrow the room for manoeuvre
Protectionist measures add another layer of uncertainty. The IMF says tariffs and the reconfiguration of production chains are weighing on confidence and are expected to restrain growth. Companies can respond by shifting suppliers or relocating factories, but those changes require time and often raise costs before they produce greater resilience.
Supporters of tougher trade policies argue that reducing dependence on foreign suppliers can protect strategic industries and strengthen national security. Critics counter that broad restrictions increase prices, reduce efficiency and invite retaliation. The current data do not resolve that debate; they show that the adjustment itself is costly, particularly for economies already exposed to energy and debt pressures.
What comes next
Policy makers face a difficult balancing act. Central banks must prevent energy-driven inflation from becoming entrenched without tightening so aggressively that they deepen weakness. Governments need to protect vulnerable households and maintain investment, but rising bond yields and existing debt burdens limit the scope for large, untargeted spending.
The most favourable scenario is a gradual easing of geopolitical and trade tensions combined with genuine productivity gains from AI. The darker scenario combines renewed conflict, persistent inflation, fiscal stress and a reassessment of technology valuations. The IMF lists both possibilities, while emphasizing that risks remain tilted downward for growth and upward for inflation. The Bank for International Settlements has likewise highlighted energy-market volatility, protectionism and the uneven benefits of AI-led expansion.
The headline growth forecast may therefore be less important than the distribution beneath it. The global economy can continue expanding while living standards diverge, debt risks rise and political pressure intensifies. The next phase will test whether governments can turn concentrated technological investment into broad productivity gains—or whether war, trade fragmentation and financial excess overwhelm the resilience that has carried the expansion this far.