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Georgieva: AI investment is masking oil-driven vulnerabilities in the global economy

International Monetary Fund Managing Director Kristalina Georgieva says global growth of about 3% reflects two opposing forces: a negative supply shock from the Middle East oil disruptions and a positive demand shock from rapid AI investment.

Georgieva: AI investment is masking oil-driven vulnerabilities in the global economy

Kristalina Georgieva, Managing Director of the International Monetary Fund (IMF), says this year’s global growth outlook is increasingly shaped by developments in artificial intelligence (AI). Global growth is tracking at about 3 percent this year — exactly where it was projected 18 months ago — despite two wars, roughly $100 oil, simmering trade tensions, and higher borrowing costs.

Georgieva explains that two opposing forces have offset each other: the negative supply shock from the Middle East conflict is dragging growth down, while a surge in AI investment is creating a positive demand shock that lifts activity. She cautions that the apparent balance is fragile and may not persist.

Short‑term exuberance versus long‑term adoption

Georgieva invokes Amara’s Law — that we overestimate the short-term effects of new technologies and underestimate their long-term impact — to warn that risks are front‑loaded. Large investments are being made now, often before broad adoption generates the economic returns that would justify them. If investor enthusiasm for AI cools, those investments could lose value and growth could slow sharply.

A globalized AI supply chain: benefits and exported risks

The AI boom is not confined to the United States. Georgieva points to countries in Asia such as Malaysia, Thailand and Singapore as integrated parts of the AI supply chain. That global spread can both stabilize and transmit risk: wider production may reduce bubble dynamics but also globalizes the exposure.

She also notes AI’s potential for leapfrogging in developing countries, while warning that prerequisites like reliable electricity, internet access and substantial compute capacity are often missing. Many languages are poorly served by current models, so AI could widen inequalities if infrastructure gaps persist.

Energy shock and fiscal vulnerability

Georgieva says the energy shock is not over: refined product prices could rise further, pushing up inflation and prompting central banks to tighten policy. Because public debt levels in many advanced economies are at historic highs, higher interest rates increase debt-service costs and constrain governments’ ability to respond to cost-of-living pressures. In her words, "Winter is coming": pressure will build before conditions improve.

Spillover effects on emerging markets

Rising US Treasury yields are also eroding the fiscal gains many emerging market economies achieved through years of tightening and reform. Georgieva described the effect as "the punishment for somebody else’s sins" — these countries must bear consequences of global financial conditions even if they did not cause them.

While she does not currently see AI companies’ funding needs crowding out US government borrowing — US Treasury financing needs in a quarter are extremely large — she warned the situation should be monitored as the dynamics could change.

A plea for fiscal discipline

Georgieva urged policymakers not to assume AI-driven productivity gains will instantly solve fiscal problems. She said recent years have often followed a pattern of shocks prompting governments to borrow and spend, followed by insufficient consolidation. In an environment of rising interest rates, this path is risky. Her advice: do not spend money you do not have.

Conclusion

Georgieva, who has led the IMF since 2019, argues that current growth of about 3 percent masks important vulnerabilities. The interplay between an oil-related supply shock and an AI-led demand boom has so far kept headline growth steady, but if either side weakens — depleted oil buffers or waning AI investor enthusiasm — the global economy could become significantly more fragile.