The global economy is being pulled in opposite directions. A technology boom led by artificial intelligence is sustaining investment and demand, while war in the Middle East has pushed energy prices higher and deepened inflation risks. The International Monetary Fund now expects world output to grow 3.1% in 2026, up slightly from its July forecast, but below last year’s 3.4% expansion. IMF officials describe the outlook as the result of a positive AI shock colliding with a negative energy shock.
That combination explains why headline growth remains relatively resilient even as the foundations of the recovery look less secure. AI-related construction, semiconductor demand, data centers and software spending are generating activity across the United States, China and parts of Asia. At the same time, higher oil prices are squeezing consumers, raising transport and production costs, and complicating central banks’ efforts to bring inflation down.
Growth driven by investment
The immediate economic benefit of AI is less about widespread productivity gains than about the enormous investment required to build the technology. Companies are spending on chips, electricity generation, data centers, cloud capacity and specialized networks. That spending supports manufacturers and exporters even before businesses can demonstrate that AI will produce commensurate profits.
The IMF estimates that effective AI adoption could add up to 0.5% to annual global growth over the medium term. In a more optimistic scenario involving faster adoption and stronger investment, global output could be 0.6% higher by 2029. The gains, however, would be concentrated largely in the United States and China, which possess the capital, computing infrastructure and research capacity to lead the sector. IMF and OECD officials warn that poorer countries may be left behind without reliable power, digital infrastructure and workforce training.
This uneven distribution is already shaping the global economy. Countries embedded in the AI supply chain are benefiting from trade and investment, while economies exposed to energy imports or war are facing downgrades. The result is not a synchronized recovery but a widening gap between technology hubs and countries with limited access to capital and electricity.
The financial risk behind the boom
Markets are beginning to question whether AI revenues will justify the debt financing the infrastructure buildout. Credit-default swap prices and yields on AI-related bonds have risen, signs that investors see greater risk that future cash flows may not cover today’s borrowing. Deloitte reports that concern over AI profitability has become a prominent market theme.
A correction would not necessarily invalidate the technology’s long-term potential. It would, however, expose the dependence of current growth on expectations. If companies reduce data-center and semiconductor orders, the shock could spread quickly through suppliers, exporters and heavily indebted infrastructure firms. The IMF estimates that if productivity gains fail to appear and investment collapses, US output could fall 0.8% directly, with spillovers affecting Asian technology exporters.
The danger is amplified by high public debt. In the United States, federal net interest outlays reached $1.052 trillion in fiscal 2026, while the deficit widened to $1.992 trillion. Those figures leave governments with less room to cushion a downturn or subsidize energy costs if the shock worsens.
Energy, inflation and the policy dilemma
The Middle East conflict creates a particularly difficult policy problem because higher energy prices can slow growth while increasing inflation. Central banks may be forced to keep interest rates higher for longer even as households and companies weaken. That combination would raise borrowing costs for governments and businesses, potentially undermining both public investment and private innovation.
There is a more favorable possibility. If energy markets stabilize and AI adoption spreads beyond a small group of firms, productivity could eventually support stronger growth without the same inflationary pressure. Supporters of rapid investment argue that early spending is necessary to build the infrastructure that will deliver those gains. Critics counter that valuations and debt are rising faster than proven economic returns.
What comes next
The next phase will depend on whether AI moves from an investment story to a productivity story. Evidence will come from corporate earnings, electricity demand, labor-market changes and the ability of smaller companies to use the technology profitably. Governments will also face pressure to expand grids, train workers and prevent market power from becoming concentrated among a few firms.
For policymakers, the central challenge is to preserve the productive benefits of AI without allowing speculative finance to become a systemic liability. That requires credible fiscal plans, careful financial supervision and international efforts to close infrastructure and skills gaps. The current expansion can endure, but its apparent strength rests on a narrow bridge: AI investment must keep accelerating while war, energy prices and debt remain contained.