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Artificial intelligence is no longer just a story about future productivity. According to IMF Managing Director Kristalina Georgieva, its first-wave effects are already showing up as demand and investment shocks across the world economy.
Georgieva frames the global economy as caught in a tug of war. The downward force is a negative energy supply shock linked to Middle East conflicts, notably the closure of the Strait of Hormuz. The upward force is a positive demand shock driven by a surge in AI investment.
A boom built from data centers and chips
Since August 2026, Georgieva has pointed to the upside of the AI infrastructure buildout. The spending covers data centers and hardware, and it has been feeding into both corporate earnings and consumer demand. That same spending has come alongside inflationary pressure.
The phenomenon first took hold in the US. Georgieva noted it has since spread to several Asian economies, including Malaysia, Thailand, Singapore, China, and India. Those countries are rapidly ramping up data-center construction and AI hardware production.
AI-related hardware now makes up over 10% of global goods trade. AI-related investment is also set to match or exceed earlier technology waves such as railroads and telecommunications.
The IMF’s growth math and its fine print
The IMF incorporated AI-related demand into its economic outlook as of July 2026. The IMF estimates that successful AI adoption could add between 0.1 and 0.8 percentage points to global growth, with a central estimate of 0.5 percentage points annually. Over a decade, that would be akin to adding an economy the size of ASEAN.
Georgieva warned that productivity gains may arrive well after the hefty upfront costs are paid. To make the point, she invoked Amara’s Law, stressing the risk that the payoff lags the spending.
Georgieva also flagged financial vulnerabilities. Firms pouring money into AI infrastructure face high leverage, and there are significant foreign investments in US securities tied to the trend.
Approximately 60% of jobs in advanced economies could be affected by technology shocks related to AI.
A crowded macro backdrop
Global growth is projected at 3% for 2026, despite multiple headwinds. Global public debt is nearing or exceeding 100% of GDP.
Georgieva made her comments in October 2026, ahead of the IMF-World Bank Annual Meetings in Bangkok. The meetings will likely focus on prudent fiscal management, oversight of AI deployment, rising public debt, and energy price pressure.
What this means
With AI hardware above 10% of global goods trade, economies like Malaysia, Thailand, and Singapore have tied a meaningful share of their momentum to a single investment cycle.
The AI demand shock adds inflationary pressure at the same time the energy supply shock from the Strait of Hormuz closure pushes prices up from another direction. Central banks could find themselves squeezed between supporting growth and containing inflation, with limited fiscal room given debt levels near or above 100% of GDP.
Disclosure: This article was edited by Diego Almada Lopez. For more information on how we create and review content, see our Editorial Policy.
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