The global economy is entering a contradictory phase: growth is proving more resilient than many expected, yet the foundations of that resilience are becoming increasingly concentrated and fragile. The International Monetary Fund has raised its 2026 global growth forecast to 3.1%, while warning that energy prices, public debt and stretched financial-market valuations could weaken the outlook.[1][2]
Artificial-intelligence investment is central to the story. Spending on data centres, semiconductors and related infrastructure has become a major source of demand, particularly in the United States and Asia. The New Zealand Ministry of Foreign Affairs and Trade, summarising the IMF’s latest outlook, said technology investment and AI supply chains were helping support activity even as businesses adjusted to trade tensions and repeated geopolitical shocks.[3]
Why growth has held up
The AI boom has created a powerful investment cycle. Technology companies are ordering chips and servers; utilities and construction firms are building the electricity and data-centre capacity needed to operate them; and governments are treating computing infrastructure as a strategic asset. A survey of 94 economists cited by the Financial Times suggested that the benefits of AI could extend beyond the United States and China, although the distribution of those gains remains uncertain.[4]
China also delivered a stronger-than-expected third quarter, expanding 4.5% year on year, according to reporting cited in the global economic briefing. Retail sales and industrial production improved in September, helping Beijing remain broadly on track for its annual growth target.[5] That performance offers some support to global demand, but it does not resolve China’s deeper weakness in domestic investment and property-related activity.
The resilience is therefore real, but uneven. Economies integrated into technology manufacturing and AI supply chains are attracting capital, while energy-importing and lower-income countries face higher import bills, weaker demand and tighter fiscal conditions.[3]
The inflation and debt problem
The most immediate threat is that investment-led growth collides with renewed price pressure. The IMF expects global inflation to reach 4.7% in 2026 before easing to 4.1% in 2027.[3] In the United States, consumer prices rose 0.6% month on month in September, lifting annual inflation to 3.7%, above expectations.[2] European inflation also accelerated to 3.8% in September, increasing pressure on the European Central Bank as it considers its next rate decision.[5]
Energy is an important transmission channel. A prolonged conflict-related oil shock would raise transport and production costs, squeeze consumers and complicate central banks’ efforts to reduce interest rates. The effect would be especially severe for countries that import most of their fuel and have limited room to subsidise households.
Fiscal policy is another constraint. US federal net interest outlays reached $1.052 trillion in fiscal 2026, while the deficit widened to $1.992 trillion, according to data reported in the IMF-related market briefing.[2] Higher borrowing costs make it harder for governments to respond to an energy shock or fund industrial policy without adding to inflation and debt-service burdens.
Why markets are becoming nervous
Investors are increasingly questioning whether AI spending can justify the valuations and borrowing supporting it. A sharp sell-off in AI-related shares has raised concerns about a possible correction, particularly where data-centre expansion relies heavily on debt or optimistic assumptions about future revenues.[2][3]
Supporters of the boom argue that early investment cycles often appear excessive before productivity gains become visible. If AI improves output across services, manufacturing and logistics, the current spending could eventually broaden growth and raise living standards. The counterargument is that the benefits may arrive slowly, while the financial commitments arrive immediately. If demand for computing capacity disappoints, companies and lenders could be left with expensive infrastructure and weaker cash flows.
“Risks remain tilted to the downside,” the IMF outlook summary said, citing possible escalation in the Middle East, renewed trade tensions, fiscal vulnerabilities and a correction in AI-related investment.[3]
What comes next
The next phase will depend on whether AI investment spreads beyond a small group of firms and countries. Policymakers will watch productivity data, corporate borrowing and electricity demand for evidence that the boom is becoming economically productive rather than merely financially speculative.
Central banks face a difficult balance. Cutting rates too quickly could revive inflation and asset bubbles; keeping them high could expose heavily indebted companies and governments. Meanwhile, an escalation in the Middle East or renewed trade restrictions could turn a manageable inflation problem into a broader growth shock.
The likely outcome is neither an immediate global downturn nor a smooth technology-led expansion. Growth may remain positive, but its gains will depend on access to affordable energy, capital and computing capacity. The central political question will be who receives those gains—and who bears the cost when the AI investment cycle slows.