The global economy is entering an unusual phase: growth is slowing from recent highs, yet an investment boom in artificial intelligence is helping prevent a sharper downturn. The International Monetary Fund projects global growth of 3.0% in 2026 and 3.4% in 2027, below the 3.5% average recorded in 2024 and 2025. The Fund says weaker momentum linked to the Middle East war is being partly offset by technology investment and faster AI adoption. The IMF’s July outlook describes a global economy being pulled in opposite directions.
That tension is visible across regions. Economies deeply integrated into the AI supply chain are outperforming, while energy importers and countries exposed to conflict are facing downgrades. Asia’s 2026 growth forecast was raised to 4.8%, with especially strong revisions for Taiwan, South Korea, Singapore, Vietnam and Malaysia. Taiwan’s forecast, according to an October summary of IMF projections, rose to 10.7%, reflecting demand for advanced chips and related equipment. BNP Paribas’ analysis of the IMF outlook notes that semiconductor and computer-equipment exports have been central to the acceleration.
Why AI is supporting growth
The immediate economic mechanism is straightforward. Cloud providers, chipmakers, data-centre operators and electricity suppliers are committing enormous sums to computing capacity. That spending supports manufacturing, construction, logistics and research before AI systems generate measurable productivity gains. It also creates export opportunities for countries supplying semiconductors, servers and specialized components.
Supporters argue that this is more than a speculative cycle. AI could raise productivity by automating routine tasks, improving industrial design and accelerating scientific work. The technology’s broad adoption may eventually allow slower-growing economies to produce more with fewer workers, a valuable prospect as populations age and labor shortages intensify.
There are already signs of a powerful trade effect. September exports in some Asian manufacturing economies rose sharply, driven by semiconductors, computer equipment, AI-related goods and green technologies, according to the BNP Paribas assessment. The concentration of gains, however, is significant: countries without advanced infrastructure, skilled workers or access to capital may receive fewer benefits.
The financial vulnerability
The same investment boom that supports demand is creating concern about leverage and valuation. Companies are borrowing to build data centres and power capacity on the assumption that future AI revenues will justify today’s costs. Deloitte reported in late October that credit-default-swap prices and bond yields for AI-related borrowers had risen, suggesting that investors were questioning whether revenue growth will be sufficient to service the debt. Deloitte’s weekly economic update frames the issue as a potential mismatch between infrastructure spending and near-term cash flow.
That does not prove an imminent crash. New technologies often require heavy early investment, and profitable applications may emerge only after infrastructure is in place. But the concentration of capital in a small group of firms and markets creates a vulnerability: if demand forecasts are cut, spending could slow abruptly, affecting suppliers, lenders and the regions that depend on construction.
Inflation complicates the policy response
Central banks also face a difficult trade-off. In the United States, consumer prices rose 3.7% year over year in September, while energy prices increased 20.4%, according to Deloitte. Higher energy costs linked to conflict can weaken household purchasing power while simultaneously pushing inflation higher. Cutting interest rates could support growth but risk entrenching price pressures; keeping rates high could restrain investment and expose heavily indebted borrowers.
Public finances offer little room for easy relief. The IMF has urged governments to manage debt carefully and make policy agile, while its wider assessment emphasizes the need to balance defense spending with the foundations of recovery. The IMF’s World Economic Outlook portal says governments must also prepare for structural changes rather than rely on temporary stimulus.
What comes next
The central question is whether AI becomes a productivity engine or remains primarily an asset-price and infrastructure boom. The answer will depend on three tests: whether businesses outside the technology sector achieve measurable efficiency gains; whether electricity and chip supply can expand without renewed inflation; and whether regulators and lenders prevent excessive concentration and leverage.
Governments are likely to pursue industrial policies that attract semiconductor plants, data centres and energy investment. That may strengthen strategic resilience, but subsidies and trade restrictions can also raise costs and deepen geopolitical rivalry. Europe’s support for domestic chip production illustrates the broader effort to reduce dependence on concentrated supply chains.
For households, the outcome will be judged less by export figures than by wages, prices and job security. AI can lift productivity, but its benefits will not automatically be shared. Training, competition policy and social protection will determine whether the technology broadens prosperity or mainly rewards capital owners.
The global economy is therefore not simply experiencing an AI boom. It is testing whether a new technological cycle can carry growth through war, energy volatility and high debt without creating a larger financial problem. For now, AI is cushioning the slowdown. The next phase will show whether it can also make growth more durable.