IMF Chief Highlights AI Investment Risks and Energy Price Impact on Growth

The global economy is currently facing serious threats from persistently high energy prices and the rapid growth of artificial intelligence (AI) investments, according to Kristalina Georgieva, Managing Director of the International Monetary Fund (IMF). In a speech ahead of the upcoming IMF and World Bank Annual Meetings in Bangkok, Georgieva highlighted the dual challenges posed by a negative energy supply shock stemming from conflicts in the Middle East and a positive demand shock driven by AI, which is also contributing to inflation.

Georgieva stated that the effects of these two forces are unevenly distributed across the globe, with many countries missing out on the benefits of the AI boom. She noted that new growth forecasts from the IMF, set to be released during the meetings, will indicate that the most significant downgrades are expected in war-torn economies, such as Ukraine, which has suffered extensive damage to its infrastructure, and Gulf nations impacted by Iranian strikes and reduced energy exports.

While Georgieva did not specify whether the IMF's latest World Economic Outlook would alter the overall global growth forecast of 3% for 2026, she pointed out that oil prices remain high at around $100 per barrel. This situation is exacerbated by limited refining capacity, which is adding significant costs to key products like diesel. The upcoming winter heating season is expected to further increase demand, even as natural gas supplies are constrained due to risks to LNG shipping routes.

The IMF chief warned that even if the conflicts in the Gulf region were to resolve quickly, high energy prices are likely to persist for an extended period. She noted that Brent crude oil futures predict elevated prices through 2027, which is driving inflation and increasing policy rates and bond yields. Georgieva remarked that sovereign yields in major economies such as the US, Germany, and Japan are currently at their highest levels in over a decade.

In her address, Georgieva also raised concerns about the growing public debt burden, which she said is hindering growth and exacerbating inflationary pressures. She highlighted that public debt levels are at their highest since World War II and are projected to exceed 100% of GDP before 2030. Advanced economies, particularly the US, are leading in high debt-to-GDP ratios compared to emerging markets and low-income countries.

Fiscal Strategies for High-Debt Economies

Policymakers, according to Georgieva, can no longer rely solely on growth to address fiscal challenges. She called for credible medium-term fiscal consolidation plans and emphasized the need for decisive action in high-debt advanced economies. After years of above-target inflation, she noted that inflationary pressures continue to arise from various factors, including the AI build-out, energy and food price shocks, tariffs, and increased defense spending.

Georgieva suggested that now may be an opportune time for a cautious approach in monetary policy, advocating for rate hikes by central banks such as the US Federal Reserve, the European Central Bank, and the Bank of Japan. In a follow-up discussion, she stressed the importance of maintaining price stability and the independence of central banks from fiscal pressures.

What Comes Next

The IMF chief also pointed to the potential risks associated with AI, where investment as a share of GDP could surpass that of traditional sectors like railroads and telecommunications. She cautioned that the increasing concentration of economic power in AI companies could lead to market disappointments, which may result in significant shocks to the economy. However, she acknowledged that if managed correctly, AI could contribute an additional half percentage point to global growth each year.

Georgieva emphasized the importance of AI preparedness, including the establishment of regulatory frameworks to address the substantial risks associated with AI, such as potential job losses, cybersecurity threats, and the challenges posed by advanced AI models. She urged governments to enhance fiscal resilience and implement reforms to improve workforce skills, facilitate corporate transitions, bolster energy security, and streamline regulations.