IMF Chief Georgieva Highlights AI's Dual Impact on Global Economy

At a recent event in Singapore, Kristalina Georgieva, managing director of the International Monetary Fund (IMF), addressed the complex role artificial intelligence (AI) is playing in shaping the world economy. While AI is widely seen as a powerful engine for future economic growth, Georgieva emphasized that it also brings significant challenges, particularly when combined with soaring energy prices and record levels of public debt.

Georgieva described AI as a rapidly emerging factor that will increasingly determine how countries fare economically. "Love it, hate it, or fear it, AI is here," she said, stressing that policymakers need to carefully navigate both the opportunities and risks linked to this technology. Her remarks came ahead of the IMF and World Bank annual meetings, a key forum for global economic discussions.

The IMF chief painted a picture of the global economy being pulled in two opposite directions. On one side, there is a "negative energy supply shock" resulting from the ongoing conflict in the Gulf, now entering its eighth month. On the other side, a "positive demand shock" is driven by the surge in AI investments worldwide. This dynamic is creating uneven effects across different regions and economies.

Investment in AI technologies is expected to grow to a scale comparable to major historical infrastructure projects such as railroads and telecommunications networks. Currently, AI-related hardware and products already make up over 10 percent of global goods trade. The IMF estimates that if AI investments are managed effectively, they could boost annual global growth by up to half a percentage point. Georgieva illustrated this by noting that increasing growth from 3 percent to 3.5 percent over a decade would be like adding an economy the size of the Association of Southeast Asian Nations (ASEAN) to the world market.

However, these gains are not expected to be shared equally. The benefits tend to concentrate in countries deeply involved in AI supply chains, while others risk falling further behind, which could widen global economic inequality. Moreover, the current AI-driven investment surge is contributing to inflationary pressures. Alongside rising energy and food costs, tariffs, and increased defense spending, this inflationary environment complicates the task of maintaining stable economic growth.

Energy prices remain elevated due to continued instability in the Middle East. Oil prices have hovered above $100 per barrel, while diesel costs have reached record highs because of limited refining capacity. These factors have pushed bond yields in major economies such as the United States, Germany, and Japan to levels not seen in decades. Additionally, as private companies linked to AI borrow more through long-term bonds, they compete with governments for capital, adding further strain to financial markets.

Public debt is another area of concern highlighted by Georgieva. The global debt burden is nearing levels last seen during World War II and is projected to surpass 100 percent of GDP soon, particularly among advanced economies. For nearly two decades, governments benefited from interest rates that remained below economic growth rates, making debt more manageable. That advantage has disappeared as interest rates climb, making debt reduction without fiscal tightening unrealistic in the near term.

Europe is already feeling the effects, with borrowing costs rising not only for large economies like France and Italy but also for countries such as Ireland and Portugal, which had previously improved their fiscal positions after the eurozone crisis. Georgieva stressed the urgent need for governments to rebuild fiscal buffers following the pandemic and recent economic shocks, noting that "fiscal space is crying out for replenishment."

Financial stability risks tied to the AI boom are also on the IMF's radar. Strong corporate profits have driven stock markets higher, but if earnings disappoint, the high leverage among major technology firms and significant holdings of U.S. equities worldwide could trigger a widespread shock. Georgieva referenced Amara's Law, which suggests that people tend to overestimate the short-term effects of new technologies while underestimating their long-term impact. She warned that the current period, situated between rapid AI investment and the eventual realization of its benefits, represents a time of particular risk.

To mitigate these risks, Georgieva called for prudent regulation and supervisory measures. She suggested that many countries might consider adopting a cautiously hawkish stance in monetary policy to manage inflation and financial vulnerabilities effectively. Her comments underline the complex balancing act policymakers face as they seek to harness AI's potential while safeguarding economic stability amid ongoing global uncertainties.