BANGKOK — The global economy is currently navigating a precarious path, buffeted by rising energy costs and the lingering fallout of geopolitical instability. Yet, according to International Monetary Fund (IMF) Managing Director Kristalina Georgieva, a powerful technological undercurrent is preventing a deeper stagnation: the massive, relentless wave of investment in artificial intelligence.
Speaking at the opening of the joint IMF and World Bank annual meetings in Bangkok this week, Georgieva highlighted that despite an energy-driven drag on most nations, global economic growth remains anchored at approximately 3% annually. This resilience, she argued, is largely powered by the structural shift toward AI infrastructure. The ongoing proceedings in the Thai capital, which are scheduled to run through October 18, have centered heavily on how this rapid technological integration is redefining the international economic landscape.
The AI Hardware Boom and Regional Winners
The most significant beneficiaries of this AI-driven expansion are the economies situated at the heart of the hardware supply chain. Countries that specialize in the manufacturing of chips, servers, and the specialized components required for large-scale computing are seeing a massive surge in economic output.
According to the IMF’s analysis, the adoption of AI could potentially add between 0.5 and 1 percentage point to the annual growth rate of advanced economies. Emerging markets, while starting from a different baseline, are also set to see a significant boost, with projected growth contributions ranging from 0.2 to 0.8 percentage points. To put this in perspective, a single percentage point is a monumental shift; an economy growing at 2% that gains a full point of growth experiences a 50% increase in its growth trajectory. Georgieva noted that at the higher end of these estimates, the benefits of AI adoption would be more than enough to offset the structural economic drag caused by aging populations across many regions.
The data supports this narrative of uneven but potent growth. In the IMF’s July outlook update, the organization identified the top four net exporters of AI hardware—Taiwan, South Korea, Thailand, and Malaysia—as clear outliers in global performance. These nations outperformed the IMF’s first-quarter growth forecasts by an average of 4.4% on an annualized basis. The most striking example cited was South Korea, which recorded a robust 7.5% growth pace, significantly higher than the 1.8% projection the Fund had issued back in April.
A Transformation on the Scale of Railways and Electrification
The scale of this transition is historic. During a precursor speech in Singapore last week, Georgieva emphasized that AI hardware and its associated technological products now account for more than 10% of total world goods trade. She further suggested that when measured as a share of global GDP, the capital being poured into AI infrastructure will likely eventually eclipse the historic investments made in the development of global railroad networks or the original construction of the modern electricity grid.
However, the IMF leader offered a sobering counterpoint: this prosperity is not being shared equally. The boom is currently bypassing the vast majority of countries that exist outside the specific technological supply chain. Consequently, while the AI sector thrives, the broader global economy faces persistent headwinds. The IMF’s July update projected global growth for 2026 at 3%, a decline from the 3.5% observed in 2025. This deceleration is primarily attributed to the conflict in the Middle East, which has exerted upward pressure on energy prices and dampened consumer and industrial confidence worldwide.
The "Slow-Moving Tsunami" in the Labor Market
Beyond the macroeconomic statistics, the social implications of this technological surge are profound. Georgieva characterized the impact of AI on the global workforce as a "slow-moving tsunami." The IMF anticipates that AI will eventually affect approximately 40% of all jobs globally, with the potential to either fundamentally change, downgrade, or entirely eliminate a significant portion of those roles.
The exposure to AI is notably lopsided. In advanced economies, where digital infrastructure is ubiquitous, roughly 60% of jobs are considered "exposed" to AI disruption. Conversely, in low-income countries, that figure stands at approximately 23%. While the lower number in developing nations might appear advantageous, Georgieva clarified that it is primarily a reflection of the fact that AI technology has not yet reached those markets, leaving them vulnerable to a different kind of risk: being left behind entirely.
The generational impact is also a point of concern. Young people entering the workforce are the first in the firing line, as AI systems are increasingly adept at absorbing the routine, entry-level tasks that have traditionally served as the training ground for new professionals. Singapore President Tharman Shanmugaratnam, appearing alongside Georgieva on a panel in Bangkok, echoed these concerns. He noted that the demand for entry-level graduate positions is already beginning to soften, warning that if governments do not intervene with robust retraining and social safety nets, AI could significantly widen the wealth and opportunity gap between rich and developing nations.
Financial Stability and Future Risks
The shift toward an AI-centric economy also presents complex challenges for public finance. Georgieva warned that if the transition continues to facilitate a shift in income from labor toward the owners of capital, governments may find their tax bases eroding. As human labor is replaced or augmented by software, the traditional income tax revenue that states rely on to fund public services could face significant pressure.
In response, the World Bank is looking toward more accessible applications of the technology. World Bank President Ajay Banga noted that the institution is currently backing "small AI" initiatives. These are smaller-scale tools that do not rely on the massive, energy-intensive large language models favored by the tech giants, but are instead tailored to support specific needs for farmers, local clinics, and classrooms in emerging markets.
Despite the potential for growth, there are underlying risks to the financial system. Georgieva previously noted in Singapore that the massive build-out of AI infrastructure is itself an inflationary force. Furthermore, she cautioned that the rapid pace of expansion, funded by heavy borrowing, could lead to a contagion of market volatility should major AI companies fail to meet their ambitious earnings expectations. If the anticipated returns on AI investment do not materialize, the debt burden carried by these firms could spill over into broader financial markets.
As the international community gathers in Bangkok, the message from the IMF is clear: while AI is the primary engine of global growth in 2026, it is a volatile and inequitable one. The upcoming release of the full World Economic Outlook, scheduled for 9 a.m. Bangkok time on October 13, will provide the first formal revision to the IMF’s 3% global growth forecast since July, offering a clearer picture of how these competing forces—AI investment and energy-related inflation—are shaping the immediate future of the world economy.