International Monetary Fund Managing Director Kristalina Georgieva highlighted the dual impact of artificial intelligence on the global economy during a recent event in Singapore. She described AI as a transformative force with the potential to significantly boost economic growth by adding up to half a percentage point annually, which would be comparable to integrating an economy as large as ASEAN into the world market. However, the AI boom also comes amid persistent challenges including spiraling energy prices driven by prolonged conflict in the Gulf and record-high public debt, which are collectively dragging down global growth prospects.

Georgieva emphasized that AI investments are accelerating rapidly, reaching levels comparable to historic infrastructure projects like railroads and power grids. Yet, the economic benefits from this surge in AI investment are unevenly distributed, favoring countries integrated into the AI supply chain while leaving others behind. This divergence risks widening global inequalities and fuels inflationary pressures exacerbated by rising energy costs, tariffs, and defense expenditures. Persistent inflation, notably with oil prices above $100 a barrel and diesel hitting record highs, continues to strain bond markets worldwide.

On the fiscal front, Georgieva pointed to a worsening debt situation with global public debt approaching 100% of GDP, nearing levels not seen since World War II. She warned that the era when governments could rely on growth exceeding interest rates to manage debt has ended, making fiscal consolidation both necessary and urgent. In Europe, rising spreads on sovereign bonds signal increased market concerns over the ability of even relatively prudent countries to sustain borrowing costs amid higher rates and slower growth, underscoring the need for replenishing fiscal buffers.

Georgieva also cautioned about financial stability risks linked to AI’s proliferation. While AI-driven corporate earnings currently support equity valuations, excessive borrowing by large AI-focused companies and significant foreign exposure to U.S. equities could amplify the impact of any downturn or earnings disappointments. She invoked Amara’s Law to note that as AI transitions from a rapid investment phase to delivering long-term benefits, a period of heightened risk lies ahead. Consequently, she advocated for prudential regulation and a cautious stance on monetary policy to mitigate emerging vulnerabilities.