The Promise of a Productivity Boom
According to IMF Managing Director Kristalina Georgieva, artificial intelligence could be a massive boon for the global economy. The investment currently pouring into AI infrastructure—data centers, servers, and software—is already a primary driver of growth
in economies like the United States. The IMF estimates that if managed correctly, AI could add up to half a percentage point to annual global growth over the next decade. This surge is compared to historical transformations like the building of railroads or the internet, highlighting its potential as a general-purpose technology that can lift productivity across all sectors. For instance, AI digital assistants have already shown large productivity gains in fields like customer service, especially for less experienced workers. This boom isn't just a Western phenomenon; Asian economies with strong digital infrastructure, like Singapore, are also poised to benefit significantly.
A 'Slow-Moving Tsunami' for Jobs
On the other side of the coin, Georgieva has warned that AI's impact on labour could be like a 'slow-moving tsunami'. IMF research indicates that about 40% of jobs globally are exposed to AI, with that figure rising to around 60% in advanced economies. The primary concern is that AI will automate routine and repetitive tasks, hollowing out demand for certain types of work and potentially displacing workers or depressing wages. Middle-skilled roles are seen as particularly vulnerable. The IMF has noted that while people with AI-related skills are earning more, regions with these jobs are not seeing overall employment growth, suggesting a shift rather than a net gain. This could especially impact young people entering the workforce, who traditionally start with entry-level jobs that are now most at risk of automation.
The Risk of Financial Shocks
Beyond the job market, the IMF has flagged serious risks to financial stability. A key danger is an investment bubble. The AI boom is fueled by massive, often debt-financed, investment from a small number of large tech companies known as 'hyperscalers'. If the promised profits from AI fail to materialize, it could trigger a sharp correction in equity valuations. This could lead to wealth destruction and layoffs. The IMF also warns of 'circular financing' arrangements, where a few firms act as each other's customers and investors, creating a tightly linked ecosystem where a problem at one company could cascade through the others. A review of just 14 such deals since 2023 found they involved around $300 billion in equity and $650 billion in debt, tied to $1.4 trillion in future revenue commitments, illustrating the scale of this interconnectedness.
Widening Global Inequality
Another major concern is that AI will exacerbate inequality both within and between countries. The benefits are currently concentrated in advanced economies with the infrastructure and skilled workforce to develop and deploy the technology. The IMF projects that the growth impact in advanced economies could be more than double that in low-income countries. For many developing economies, the challenge isn't just getting access to AI tools, but having the reliable electricity, digital infrastructure, and skilled workers needed to use them effectively. Without these prerequisites, they risk falling further behind, creating a wider global economic divide. Internally, AI could also deepen inequality by shifting income from labour to capital, benefiting owners and highly skilled workers while leaving others behind and potentially eroding the tax base for governments.
The Path Forward: A Call for Safeguards
The IMF's message is not one of doom, but a call to action. Georgieva has stressed that without proper safeguards, the risks of AI could exceed the opportunities. The fund is urging policymakers to act now to manage this transition. This includes investing in education, reskilling, and lifelong learning to help workers adapt to changing job demands. It also means strengthening social safety nets and potentially rethinking tax policies as the nature of work changes. For financial stability, the IMF advocates for strong regulation and supervision as the first line of defense against a potential market correction or contagion from the tech sector. The ultimate goal is to create policies that allow nations to harness AI's incredible potential for growth while protecting people and ensuring the benefits are shared broadly.
