A Tsunami Hitting the Labour Market
At the recent IMF and World Bank annual meetings, Kristalina Georgieva described AI's impact on employment as a 'slow-moving tsunami'. The IMF's research suggests that approximately 40% of jobs worldwide are exposed to AI, a figure that rises to a startling
60% in advanced economies. The warning highlights a dual threat: some jobs will be replaced by automation, while others will be 'augmented', requiring new skills that many workers do not yet possess. Georgieva expressed particular concern for young people, noting that entry-level, routine jobs that have traditionally been the first step on the career ladder are most vulnerable to being automated away.
Widening Global and National Inequality
A key risk underscored by the IMF is AI's potential to deepen inequality, both between and within countries. Advanced economies and large corporations, or 'hyperscalers', are best positioned to invest in and benefit from AI, potentially leaving emerging markets and developing economies further behind. For nations like India, which are major players in the AI supply chain, the challenge is to ensure that benefits are broadly shared and not just concentrated at the top. Within countries, AI could widen the gap between high-skilled workers, whose productivity is enhanced by the technology, and low-skilled workers, whose jobs are at risk. This shift could also redirect national income from labour to capital, favouring asset-rich households over workers.
Financial Instability and 'Circular' Risks
Beyond the job market, the IMF's Global Financial Stability Report flagged significant risks tied to the massive investments pouring into the AI sector. This boom has driven economic growth, but it could trigger a market correction if the promised productivity gains don't materialize quickly enough. The report points to growing leverage, as major tech companies borrow heavily to finance the construction of data centers and other infrastructure. The IMF also identified a 'wrong-way risk' in the form of circular financing, where large tech firms invest billions in smaller AI companies, who then use that money to buy products and services back from their investors. This creates an illusion of robust growth and tangles the companies' financial health, increasing the risk of a cascade of failures if a key player stumbling.
The Urgent Call for Safeguards
In her statement, Georgieva compared the rapid, unregulated development of AI to 'Formula One race cars careening around with no barriers'. To prevent a crash, she called for a multi-pronged approach to creating 'guardrails'. This includes governments investing in robust social safety nets, education, and reskilling programs to help workers adapt. She also stressed the need to rethink tax systems. As AI shifts value from labour to capital, governments may need to find new revenue sources to fund public services. Finally, the IMF chief advocated for a combination of industry self-regulation and international cooperation, particularly among major AI players like the US, China, and India, to establish a shared ethical and regulatory foundation for the technology's deployment.
