IMF: Artificial Intelligence Spending Propels Global Economy Through Energy Shock

BANGKOK — Massive, ongoing global expenditures on artificial intelligence are single-handedly sustaining the world economy, keeping global growth hovering at roughly 3% annually even as persistent energy shocks weigh heavily on nations across the globe.

That was the assessment delivered on Monday by International Monetary Fund (IMF) Managing Director Kristalina Georgieva during her opening remarks at the joint IMF and World Bank annual meetings in Bangkok. The high-stakes summit, drawing financial leaders, central bankers, and policymakers from around the globe, runs through October 18 in the Thai capital.

According to Georgieva, the primary beneficiaries of this unprecedented technological pivot are the Asian economies that manufacture the physical hardware underpinning the modern artificial intelligence boom. The adoption of these technologies, she noted, could eventually add anywhere from 0.5 to 1 percentage point annually to economic growth in advanced economies, and between 0.2 and 0.8 percentage points in emerging markets.

In economic terms, a single percentage point represents the raw gap between two distinct growth rates. For an economy expanding at a modest 2% clip, gaining a full point translates to a robust 3% growth rate—a substantial leap that, at the higher end of the IMF’s projected range, would more than sufficiently offset the economic drag caused by aging populations across major regions.

The Hardware Powerhouse and Trade Impact

The IMF’s underlying data underscores the sheer magnitude of this hardware-driven boom. In its July economic outlook update, the international financial institution reported that the world’s top four net exporters of AI hardware—Taiwan, South Korea, Thailand, and Malaysia—dramatically outperformed expectations. These nations beat their first-quarter growth forecasts by an average of 4.4% on an annualized basis. South Korea stood out remarkably, registering a blistering 7.5% growth pace, far eclipsing the modest 1.8% projection the Fund had laid out in April.

Building upon these figures during a curtain-raiser speech in Singapore last week, Georgieva highlighted that artificial intelligence hardware and its closely related technological products now account for more than one-tenth of total world goods trade. Furthermore, she projected that cumulative AI investment as a share of global Gross Domestic Product (GDP) is on a trajectory that will likely surpass the massive capital outlays historically dedicated to building out the global electricity grid or transcontinental railroads.

Despite these staggering economic tailwinds, Georgieva offered a sobering cautionary note, warning that the current boom is largely bypassing the vast majority of nations situated outside of this specialized technology supply chain. Compounding this uneven distribution, the Fund’s July update projected overall global growth for 2026 at 3%, ticking downward from 3.5% in 2025, largely as persistent conflict in the Middle East drives up global energy prices and exerts a heavy toll on net-importing nations.

Labor Market Disruptions and the ‘Slow-Moving Tsunami’

Beyond macroeconomic growth figures, the IMF leadership turned a sharp focus toward the structural transformation of labor markets. Georgieva characterized the rapid integration of artificial intelligence into the global workforce as a "slow-moving tsunami." The Fund expects AI to eventually touch roughly 40% of jobs worldwide, downgrading or outright eliminating a vast number of traditional roles in the process.

Labor market exposure to artificial intelligence varies drastically by geography and economic development. Exposure runs at approximately 60% in advanced economies, compared to roughly 23% in low-income countries. However, Georgieva pointed out that poorer nations score lower on this exposure metric primarily because advanced infrastructure and AI technologies simply have not yet penetrated their local markets to the same degree.

Young people entering the workforce for the first time find themselves squarely on the front lines of this disruption. Georgieva explained that artificial intelligence is rapidly absorbing the routine, administrative tasks upon which traditional entry-level jobs have historically been built.

Sharing the panel stage in Bangkok, Singaporean President Tharman Shanmugaratnam echoed these concerns, noting that employer demand for recent college graduates’ entry-level positions is already visibly declining. He warned that if governments fail to implement proactive policies, the artificial intelligence revolution could significantly widen the wealth gap between rich nations and developing economies.

Fiscal Pressures and Broader Economic Risks

The sweeping structural shifts driven by AI threaten to disrupt public finances as well. Georgieva warned that if the technology successfully shifts a substantial portion of national income away from traditional laborers and toward the owners of capital, governments risk losing a critical portion of the tax base upon which they have historically relied to fund public services and infrastructure.

In response to these systemic challenges, World Bank President Ajay Banga, also speaking at the meetings, emphasized that his institution is actively backing "small AI" initiatives. These localized tools are specifically designed to operate independently of massive, resource-intensive large language models, targeting practical applications for farmers, local medical clinics, and classrooms across emerging markets.

The rapid build-out of artificial intelligence infrastructure is not without immediate macroeconomic costs. Georgieva noted in her Singapore address that the massive capital expenditures required to construct AI data centers and supply chains are themselves adding to inflationary pressures globally. Moreover, she warned that if major AI corporations fail to deliver expected revenue returns, disappointing earnings could quickly ripple through broader financial markets, particularly given that many industry players have borrowed heavily to finance their ambitious expansion plans.

The IMF is scheduled to publish its comprehensive World Economic Outlook report at 9:00 a.m. Bangkok time on October 13—representing 10:00 p.m. Monday in New York—which will include the Fund’s first official revision to its 3% global growth forecast since the July update.