Artificial intelligence (AI) has the capacity to boost global economic growth by as much as half a percentage point annually, according to Kristalina Georgieva, managing director of the International Monetary Fund (IMF). Speaking on October 7 at a preliminary event ahead of the IMF and World Bank annual meetings, Georgieva emphasized that realizing these gains over the next decade requires a strategic approach to AI deployment that ensures broad access and benefits worldwide.
Georgieva highlighted that a sustained increase in global growth of 3% to 3.5% over ten years would effectively add an economy the size of the Association of Southeast Asian Nations (ASEAN) to global output. However, she warned that such outcomes depend on AI being “done right,” including the development of digital infrastructure, labor market adaptations, and appropriate regulatory frameworks. The IMF’s AI preparedness index currently ranks Singapore highest in readiness.
The rapid technological advancement in AI is concentrated in countries such as the United States, China, and India, which have developed robust AI infrastructures. This concentration risks exacerbating economic and security disparities worldwide by leaving many nations behind, Georgieva noted. AI-related hardware and technology products already account for over 10% of global merchandise trade, a share that is increasing.
The annual meetings, scheduled for October 12-18 in Bangkok, Thailand, will focus on AI alongside other major economic concerns including persistently elevated energy prices and record levels of public debt. Georgieva said the recent energy price shock had been substantial but contained, thanks to factors such as diversified fuel sources, contingency measures, and supply chain flexibility. Nonetheless, oil prices remain near $100 per barrel amid ongoing uncertainties in Gulf oil flows, and natural gas supplies continue to be hampered by threats to shipping routes through the Strait of Hormuz.
She described the uneven global impact of the energy crunch, with Asia and Europe particularly affected, and cautioned that pressures on prices could intensify as demand rises entering the Northern Hemisphere winter and countries work to restock reserves.
On fiscal matters, Georgieva expressed concern over global public debt nearing post-World War II highs and expected to surpass 100% of global GDP soon. Advanced economies carry some of the largest debt burdens. She called for urgent, comprehensive policy action, including on monetary policy, citing inflationary risks linked to the AI-driven investment surge. She supported a “prudently hawkish” stance by central banks, mentioning recent rate increases by the U.S. Federal Reserve, European Central Bank, and Bank of Japan.
During a fireside discussion with Singapore President Tharman Shanmugaratnam, moderated by Danny Quah of the Lee Kuan Yew School of Public Policy, debates centered on monetary policy credibility. Georgieva stressed the importance of central bank independence in preserving price stability and resisting fiscal pressures.
President Tharman highlighted challenges posed by rising fiscal deficits and debt levels, which constrain governments’ crisis responses and transfer greater responsibility to central banks. He warned of two nuanced forms of “fiscal dominance”: one where limited fiscal space forces central banks to repeatedly ease monetary policy, potentially leading to higher inflation and reduced credibility; and another related to market instability, as sovereign debt increasingly attracts hedge funds and leveraged investors with complex trading strategies. He noted that central banks often bear the burden of restoring financial stability during such episodes, potentially encouraging market complacency and excess leverage.
The discussions underscore the interconnected challenges of harnessing AI for growth while managing inflation, energy security, debt sustainability, and financial stability in a complex global environment.