The global economy is entering an unusually conflicted phase: an energy shock is weakening supply while an artificial-intelligence investment boom is strengthening demand. IMF Managing Director Kristalina Georgieva has warned that the combination could test policymakers already constrained by historically high public debt.
Georgieva said global public debt is on course to exceed 100% of gross domestic product, a level not seen since the aftermath of the Second World War. At the same time, she identified oil prices near $100 a barrel and continuing threats to shipping through the Strait of Hormuz as immediate risks to fuel, transport and food costs. (Anadolu Agency)
Two shocks moving in opposite directions
An energy disruption is a classic negative supply shock: it raises the cost of producing and moving goods while reducing the economy’s capacity to grow. For households, the effects appear first in petrol, heating and food. For companies, higher energy and freight bills squeeze margins or pass costs on to consumers.
AI investment works differently. Demand for chips, data centres, electricity and specialized equipment is accelerating. Georgieva said AI hardware and related products now account for more than 10% of world goods trade, and that effective adoption could eventually add as much as 0.5% to annual global growth. (Anadolu Agency)
The result is not simply a choice between optimism and pessimism. AI can raise productivity and create new markets, but the construction boom required to support it can also intensify demand for electricity, equipment and capital. If energy remains scarce or expensive, some of the gains may be absorbed by higher operating costs rather than appearing as cheaper products or stronger wages.
Why central banks face a difficult choice
Monetary policymakers normally respond to weak demand with lower interest rates and to persistent inflation with tighter policy. The present mix makes that response harder. Energy inflation can raise headline prices even as growth slows, while AI-related investment keeps parts of the economy unusually strong.
Recent US data illustrate the uncertainty. Nonfarm payrolls rose by only 29,000 in the latest monthly report, far below economists’ 90,000 estimate, while earlier months were revised down sharply. Markets subsequently reduced expectations of a 25-basis-point Federal Reserve rate increase at the end of October to 22.7%, from 64.2% a week earlier. (Reuters)
A central bank that tightens aggressively may contain second-round inflation but deepen a slowdown. A central bank that cuts too quickly may support demand while allowing energy costs and asset valuations to feed into broader inflation. Georgieva therefore urged monetary authorities to retain a “prudently hawkish” bias, while also warning governments to adopt credible fiscal-consolidation plans. (Anadolu Agency)
The distributional politics of the boom
The benefits and costs will not be shared evenly. Firms that control advanced chips, cloud infrastructure and data-centre capacity stand to capture a large portion of AI’s early returns. Countries with reliable electricity, skilled workers and access to capital are better placed to attract investment.
Consumers, however, may face higher electricity bills if utilities expand grids and generation to serve data centres. Governments must decide whether to subsidize that build-out, require technology companies to bear more of the cost, or delay projects until capacity improves. Those choices could shape public support for AI as much as the technology’s productivity gains.
High debt narrows the room for compromise. Broad energy subsidies can protect households but worsen fiscal pressures and discourage conservation. Rapid deficit reduction can reassure bond markets but impose costs on workers and vulnerable families. The IMF’s warning is therefore also political: governments may need targeted assistance rather than universal price controls, alongside investment in grids, renewables and efficiency.
What comes next
The immediate test will be whether energy disruptions persist long enough to become embedded in expectations. The next will be whether AI investment produces measurable productivity outside a small group of technology firms. If both shocks continue, policymakers may face slower growth, volatile inflation and renewed pressure to choose between fiscal restraint and social protection.
The IMF’s October World Economic Outlook is scheduled to publish its full report on October 13, including analysis of globalization, multinational companies and cross-border taxation. (IMF) Its findings should help clarify whether the AI boom is broadening economic capacity or mainly concentrating gains while increasing demand for scarce resources.
The central question is not whether AI will transform the economy. It is whether governments can expand energy supply, manage debt and distribute productivity gains quickly enough to prevent the transformation from becoming another source of inequality and inflation.