The Demographic Dilemma
Several major Asian economies are growing older, faster. Countries like Japan, South Korea, and China are projected to see their working-age populations shrink by nearly 25% by 2050. This demographic shift poses a significant threat to economic growth,
potentially leading to labour shortages, reduced productivity, and increased fiscal pressure from healthcare and pension costs. While some nations like Nepal are still experiencing a 'demographic dividend' with a growing young workforce, the broader regional trend is one of ageing. For decades, Asia's economic miracle was powered by a vast, youthful labour pool. Now, as that engine slows, policymakers are looking for new sources of growth.
AI: A Double-Edged Sword
Artificial Intelligence is emerging as a powerful, if unpredictable, force. IMF Managing Director Kristalina Georgieva has called it a 'slow-moving tsunami' that will profoundly impact jobs and growth. The Fund estimates that AI could affect 40% of jobs globally, with that number rising to 60% in advanced economies. The technology can augment, downgrade, or eliminate roles entirely. However, the IMF also projects that AI could be the very thing that offsets the economic drag from an ageing workforce. Productivity gains from AI could boost annual growth in advanced Asian economies by 0.5 to 1 percentage point, more than making up for the demographic pressures. The key question, as one IMF director put it, is whether AI augments workers or simply automates their jobs away.
Bridging the Gap with Training
This is where workplace training becomes paramount. The IMF's core message is that for Asia to successfully navigate this transition, it must invest in its human capital. The era of learning a skill and holding onto it for life is over; lifelong learning is now a 'paramount necessity'. This isn't just about preventing job losses, but about enabling workers to leverage AI as a tool. IMF research shows that demand for AI-related skills is already twice as high in occupations highly exposed to the technology. Employers are prioritising candidates who can use AI to improve productivity, seeking skills in general literacy, specialised capabilities like prompt engineering, and the ability to integrate AI with company data. Both governments and private companies have a role to play in fostering this environment of continuous learning.
The Stakes for India
While India currently has a younger demographic profile compared to East Asia, the IMF's analysis is highly relevant. India, along with the US and China, was cited by the IMF chief as one of the main drivers of growth in AI technology. The country is a net importer of AI hardware, building the infrastructure to become a key AI provider. However, without the right policies, AI risks deepening inequality. Emerging markets could fall behind advanced economies that are better prepared to adopt AI. To avoid this, governments in developing economies must focus on improving digital infrastructure, expanding internet access, and crucially, investing in education and technical training to give workers the skills needed to adapt.
A Call for Proactive Policies
The IMF is urging governments to be proactive. This includes strengthening social safety nets for displaced workers, reforming education systems, and encouraging longer, more flexible working lives. Policies that support the health and well-being of older workers can also significantly boost their participation and productivity. Furthermore, as AI shifts income generation from labour to capital, governments may need to rethink tax policies. The challenge is to ensure the benefits of the AI revolution are shared broadly, preventing a future where technology widens the gap between the skilled and the unskilled, and between rich and poor nations. The consensus is clear: technology alone is not the answer. It must be paired with a dedicated strategy for upskilling and reskilling the entire workforce, regardless of age.
