Asia's Looming Demographic Tax
For decades, many Asian nations benefited from a 'demographic dividend'—a growing working-age population that fuelled economic expansion. Now, that trend is reversing. According to recent IMF findings presented in October 2026, countries like Japan, South
Korea, and China could see their workforces shrink by nearly 25% by 2050. This shift is expected to create a 'demographic tax' on growth, potentially shaving off up to one percentage point from annual GDP in these post-dividend countries. This presents a formidable challenge: how to maintain economic momentum when the pool of available workers is steadily declining. The problem is so significant that it has been identified by the IMF as one of three major transformations facing the continent, alongside economic integration and technological change.
AI as the Productivity Engine
This is where artificial intelligence enters the picture. The IMF's analysis suggests that the productivity gains from widespread AI adoption could be powerful enough to offset the economic drag from an ageing workforce. IMF Managing Director Kristalina Georgieva stated that AI is projected to lift growth in advanced Asian economies by 0.5 to 1 percentage point. This boost, if captured effectively, could more than compensate for the pressures of a shrinking labour pool. The logic is straightforward: if fewer workers can produce significantly more value thanks to AI-driven efficiencies, then overall economic output can continue to grow. This turns AI from a simple technological tool into a crucial macroeconomic solution for the coming decades.
Augment, Not Just Replace
A key part of the IMF's outlook hinges on how AI is implemented. The most positive scenarios focus on AI augmenting human capabilities rather than simply automating jobs away. According to Krishna Srinivasan, director of the IMF's Asia and Pacific Department, 'What matters is whether AI augments workers or automates jobs'. Early evidence suggests a promising trend. Recent IMF research found that occupations highly exposed to AI saw a demand for AI-related skills that was roughly double that of less-exposed jobs. This indicates that employers are not just looking to eliminate roles, but are actively seeking workers who can leverage AI to become more productive. The skills in demand fall into three broad categories: general AI literacy, specialised skills like prompt engineering, and the ability to integrate AI with proprietary company data.
The Challenge of Divergence and Inequality
However, the IMF also sounds a strong note of caution. The benefits of AI are unlikely to be distributed evenly. Advanced economies with robust digital infrastructure and highly skilled workers are better positioned to adopt AI and reap its rewards. In contrast, emerging markets may lack the capital and expertise, leading to a 'widening divergence' across the continent. This could create a world of AI haves and have-nots. Within countries, AI also threatens to deepen inequality. Jobs that are complemented by AI, such as professional and managerial roles, are often already well-paid. Conversely, roles at higher risk of displacement—like clerical and service jobs—are often held by more vulnerable workers, including a disproportionate number of women. IMF Managing Director Kristalina Georgieva has described AI's potential impact on jobs as a 'slow-moving tsunami', warning that proactive policies are needed to manage the disruption.
India’s Unique Position
While much of the focus on ageing is on East Asia, India stands in a different position. Along with countries like Indonesia and the Philippines, India is still in an 'early-dividend' phase, where its working-age population is growing. This demographic tailwind could add as much as a percentage point to annual GDP growth if managed well. However, this does not make the AI discussion irrelevant. For India, the challenge is different: it must create a massive number of new jobs in productive sectors while preparing its workforce for an AI-driven future. The IMF stresses that for developing economies, structural reforms that boost human capital are essential to accelerate AI adoption and amplify its growth benefits. The path to becoming a wealthier economy will inevitably run through sectors that are already being reshaped by artificial intelligence.
