The global economy is being pulled in opposite directions. An investment surge linked to artificial intelligence is supporting demand, markets and industrial activity, while war-related disruptions to energy supplies are pushing up costs and threatening to weaken growth. The result is not a synchronized recovery, but an increasingly uneven expansion whose apparent resilience may conceal rising vulnerabilities.
The International Monetary Fund expects the world economy to grow by 3.1% in 2026, up from its July projection of 3%, but below the 3.5% recorded in 2025. The modest upgrade reflects stronger-than-expected activity and the force of AI-related investment. At the same time, the IMF says global growth remains below its longer-term norms and warns that resilience may be approaching its limits. The IMF’s October briefing describes the economy as facing a negative energy shock and a positive AI demand shock. Recent coverage of the forecast reports that inflation is expected to reach 4.7% this year before easing to 4.1% in 2027.
Why AI is carrying so much weight
The AI boom is more than a stock-market story. Spending on data centers, advanced chips, cloud infrastructure and electricity is creating a concentrated investment cycle, particularly in the United States, China, India and other economies connected to the technology supply chain. That spending has helped offset weaker trade, higher borrowing costs and the drag from conflict.
Supporters of the boom argue that it could raise productivity well beyond the initial construction phase. Faster automation, improved medical technologies, advanced robotics and more efficient business processes could eventually expand output without a proportional increase in labor or raw-material costs. The IMF has identified AI as one of several technologies capable of reshaping growth. Its managing director has described the technology as both promising and destabilizing.
But the benefits are highly concentrated. Economies without reliable electricity, digital infrastructure, skilled workers or access to capital risk becoming consumers of foreign technology rather than producers of it. The IMF has also warned that a reversal in AI investment could expose financial markets and economies that have become dependent on the boom. High valuations and heavy infrastructure spending create a familiar danger: expectations can rise faster than measurable profits.
Energy and war expose the limits
The opposing force is the energy shock generated by conflict in the Middle East. Disrupted supplies of oil, natural gas and refined products raise transport and production costs across borders. For households, the effect appears through fuel, heating and food prices; for companies, it compresses margins or feeds into final prices.
This creates a difficult problem for central banks. Raising interest rates can prevent an energy shock from becoming entrenched inflation, but it also restrains investment, housing and employment. Holding rates lower may protect demand, yet risks allowing temporary energy increases to spread through wages and services. The IMF has urged central banks to remain focused on price stability, while acknowledging that the shock is damaging growth. The institution says advanced-economy yields have reached multi-decade highs, reflecting inflation concerns, fiscal pressures and expectations surrounding AI-led growth.
Governments face a similar trade-off. Subsidies can shield households from sudden price increases, but they add to public debt and may weaken incentives to conserve energy. Investment in domestic production, reserves and alternative sources can improve resilience, although such projects require time and substantial public or private capital.
A recovery divided by geography
The headline growth rate conceals sharp differences. Countries directly affected by war face downgrades, damaged infrastructure and higher security costs. By contrast, economies positioned along the AI supply chain are receiving stronger investment and export demand. That divergence risks widening inequality between countries as well as within them.
Higher interest rates compound the pressure on poorer nations. Governments already carrying large debt burdens must spend more on servicing loans while confronting elevated food and energy bills. The IMF says its low-interest lending to low-income countries has quadrupled since the pandemic, a sign of persistent financing needs rather than a completed recovery. Officials have warned that technology, trade disruption and conflict could widen the gap between advanced and developing economies.
What comes next
The near-term outlook depends on whether energy disruptions spread and whether AI investment produces durable productivity gains. A de-escalation in the Middle East would relieve inflationary pressure, but a prolonged conflict could force central banks to keep policy tight even as growth weakens. Another risk is that higher government borrowing costs trigger stress in bond markets, limiting the fiscal support that has helped sustain demand.
Policymakers therefore face a narrow path: rebuild energy buffers, preserve credible anti-inflation policies and invest in skills and infrastructure that distribute AI’s gains more widely. Cooperation will be harder in an era of trade restrictions and geopolitical mistrust, but fragmentation carries its own economic cost.
The central question is not whether AI can offset today’s shocks. It is whether the investment boom can mature into broad productivity growth before war, debt and higher interest rates exhaust the economy’s remaining buffers.