The Scale of the Disruption
According to IMF Managing Director Kristalina Georgieva, artificial intelligence stands to impact almost 40% of all jobs around the world. The technology will augment some roles, downgrade others, and in some cases, eliminate them entirely. The exposure
is not evenly distributed. In advanced economies, the figure rises to a staggering 60% of jobs. For low-income countries, the exposure is lower, at around 23%, but this reflects slower AI adoption rather than immunity to its effects. This warning, delivered during the recent IMF-World Bank annual meetings, frames AI as a pivotal economic force that is already changing the nature of work.
Young Workers and Entry-Level Roles at Risk
A primary concern flagged by the IMF is the threat to young people entering the job market. Georgieva highlighted that AI is rapidly taking over routine, repetitive tasks that have traditionally formed the basis of entry-level jobs. These roles have historically been the first rung on the career ladder, allowing new workers to gain experience and 'grow up the ranks'. With these pathways shrinking, there is a significant risk that young people may be forced into lower-paying service jobs with limited prospects for professional advancement, a scenario Georgieva described as 'not a story to celebrate'. This erosion of foundational career opportunities could have long-lasting consequences for a generation of workers.
A Double-Edged Sword for Economies
While the warnings about job disruption are stark, the IMF also acknowledges AI's immense potential to boost productivity and global growth. In fact, Georgieva noted that massive investment in AI infrastructure is already one of the key factors keeping the global economy growing at around 3%. For some advanced Asian economies, the productivity gains from AI could add up to a full percentage point to growth, offsetting the economic drag from aging populations. The challenge, however, is that these benefits are not automatic or evenly shared. The gains could disproportionately flow to owners of capital rather than labour, which would not only worsen inequality but also strain government tax revenues that have traditionally relied on taxing wages.
A Call for New Policies and Skills
The IMF's message is not one of doom, but an urgent call to action. Georgieva stressed that policymakers must act now to prepare for this transition. This involves a multi-pronged approach. First, education systems must be rethought to equip students with cognitive, creative, and technical skills that complement AI rather than compete with it. Second, there's a need to embrace lifelong learning and create robust systems for upskilling and reskilling displaced workers through active labour-market programs. Finally, governments may need to redesign tax systems so they don't unfairly penalize labour over automation and can fund stronger social safety nets. For developing economies like India, the IMF notes that success will depend on building dependable electricity, digital infrastructure, and a skilled workforce.
The Indian Context
For India, which the IMF identifies as one of the most important producers in the AI supply chain, the implications are profound. The nation's massive and youthful workforce faces both significant risks and unparalleled opportunities. The large IT and business process outsourcing (BPO) sectors are highly exposed to automation of routine tasks. However, IMF research also shows a rapidly growing demand for new roles and workers who can use AI to be more productive. New jobs like 'prompt engineering' that didn't exist a few years ago are emerging. The key for India will be to manage this transition effectively, ensuring its workforce can adapt. The challenge is to foster an environment where AI augments Indian workers' capabilities, leading to higher-value jobs, rather than simply automating existing ones out of existence.
