The global economy is entering a divided phase: investment in artificial intelligence is helping sustain growth in wealthier and technologically advanced countries, while war-related energy disruption is raising costs and weakening prospects elsewhere. The International Monetary Fund’s latest outlook captures that tension, projecting global growth of 3.1% in 2026 and 3.4% in 2027, after 3.5% growth in 2025. The modest upgrade from its July forecast does not amount to an all-clear. It is a sign that powerful forces are pulling the world economy in opposite directions.
The IMF forecasts global inflation at 4.7% this year before easing to 4.1% in 2027. Core inflation is expected to remain elevated at 3.9% in 2026 and 3.7% next year. Those figures suggest that the growth headline masks a more difficult reality for households and companies facing higher fuel, food and borrowing costs. The IMF’s assessment describes resilience under strain and calls for policy choices that address both inflation and financial vulnerability.
Two shocks, moving in opposite directions
The first force is the energy shock linked to the war involving Iran and disruption around the Middle East. Energy prices rose sharply in September, according to reporting summarized by Le Monde, increasing pressure on energy-importing economies and raising production and transport costs. The IMF characterizes the effect as a negative global supply shock: it pushes prices up while constraining economic activity.
The second force is the AI investment cycle. Spending on data centers, chips, software and related infrastructure is supporting trade and investment, particularly in countries integrated into the technology supply chain. The IMF says the AI-driven boom has become a key source of global growth. Taiwan and South Korea, both major participants in that supply chain, are expected to outperform many other advanced economies, while advanced economies overall are projected to grow 2.1% in 2026.
These forces do not benefit countries evenly. Economies with technology exports, capital and reliable electricity can capture gains from the AI cycle. Import-dependent and lower-income countries must instead absorb higher energy costs, tighter fiscal constraints and weaker external demand. The result is not simply slower growth, but a widening gap in the capacity to respond.
Why the headline recovery is fragile
The IMF’s forecast depends partly on continued investment enthusiasm around AI. That creates a vulnerability. If expected productivity gains fail to materialize, or if investors decide that technology valuations have moved too far ahead of earnings, financial markets could correct. The Associated Press reports that the IMF has warned about rising debt and the possibility of an AI-related financial frenzy.
Supporters of the boom argue that the investment is building general-purpose infrastructure that could raise productivity well beyond the technology sector. New computing capacity may improve logistics, research, manufacturing and public services. If those gains spread, the current spending wave could become a durable source of growth rather than a speculative episode.
Skeptics point to concentration and financing risks. A small number of companies and countries dominate advanced chips, cloud infrastructure and model development. Heavy borrowing to fund data centers could expose banks and investors if demand disappoints. Even successful AI deployment may initially benefit owners of capital more than workers, intensifying inequality unless governments invest in skills, competition and social protection.
The pressure on poorer economies
The distributional consequences are already central to the outlook. The IMF expects the Middle East and Central Asia region, directly exposed to the conflict, to contract by 0.3% in 2026, according to Agence France-Presse. China’s growth is projected at 4.5%, with weak domestic demand weighing on the world’s second-largest economy.
For lower-income countries, higher fuel prices can quickly become a fiscal and political problem. Governments may subsidize energy and food, but doing so can widen deficits; removing subsidies can trigger public opposition. Higher global interest rates or a renewed market sell-off would make refinancing even more expensive. Countries without access to AI investment also risk falling further behind in productivity and export competitiveness.
The next phase will therefore depend on more than central-bank decisions. Governments will need to protect vulnerable households without locking in inefficient subsidies, strengthen energy security and maintain investment in education and infrastructure. International lenders may face pressure to provide debt relief or emergency financing if the energy shock persists.
What comes next
Three indicators will matter most. First, whether energy disruptions ease or become embedded in prices. Second, whether AI investment produces measurable productivity rather than only higher valuations. Third, whether policymakers can prevent unequal recovery from becoming a source of political instability.
The IMF’s forecast offers a relatively benign central case: global growth continues, inflation declines and investment broadens. But the risks are asymmetric. Advanced economies with technology exposure may retain momentum, while energy-importing and indebted countries bear the largest immediate costs. The central question is not whether the world economy is growing. It is who is equipped to benefit from that growth—and who is left paying for its shocks.