A Tale of Two Pressures
Across Asia, a major demographic shift is underway. For decades, the continent's economic miracle was powered by a youthful, expanding workforce. Now, that trend is reversing. In advanced Asian economies like Japan, South Korea, and even parts of China,
populations are ageing and workforces are shrinking. The IMF projects that some of these nations could see their working-age population decline by nearly 25% by 2050. This creates immense pressure on economic growth, healthcare systems, and pension funds. At the very same time, the AI revolution is accelerating. Described by IMF Managing Director Kristalina Georgieva as a 'slow-moving tsunami', AI is set to fundamentally change how we work. This creates a dual challenge: fewer workers, and a rapid technological shift that threatens to make existing skills obsolete.
AI: Threat or Economic Lifeline?
The common narrative around AI often focuses on job displacement. The IMF itself estimates that around 40% of jobs globally could be affected by AI, either through automation or augmentation. However, the Fund's recent analysis presents a more optimistic scenario for Asia's ageing economies. Instead of simply replacing workers, AI can serve as a powerful tool to complement them, boosting productivity so significantly that it could offset the economic drag from a smaller workforce. According to Georgieva, AI adoption could lift growth in advanced Asia by as much as one percentage point, effectively neutralising the demographic pressure. The key question, as one IMF director noted, is whether AI augments workers or simply automates their jobs away.
Why Older Workers Could Be Big Winners
The idea of AI as a complementary tool is particularly relevant for experienced, older workers. AI and robotics can take over physically demanding or highly repetitive tasks, allowing veteran employees to focus on roles that leverage their decades of experience: strategic thinking, complex problem-solving, mentorship, and client relationships. This model allows for longer, more productive careers. Furthermore, many older workers value flexible and part-time work arrangements, which AI-driven workflows can more easily accommodate. Rather than forcing older workers out, technology can enable them to contribute their valuable expertise for longer, helping to mitigate labour shortages.
The Linchpin: Lifelong Learning
The IMF is clear on one point: these benefits will not materialise on their own. The single most important factor is a radical shift in our approach to education and training. The old model of 'learn, earn, and retire' is no longer viable. To harness AI's potential, governments and companies must invest heavily in continuous workplace training, reskilling, and upskilling. This isn't just about teaching employees how to use a new app. It involves preparing the workforce for new roles and fostering skills that AI cannot replicate, such as critical thinking, creativity, and emotional intelligence. According to IMF research, demand for AI-related skills is already surging in occupations most exposed to the technology, signalling a shift in what employers value. Proactive social safety nets and robust training programs are critical to support workers as they transition.
The Indian Context
While India has a much younger demographic profile than East Asian nations, the IMF's advice is highly relevant. India is expected to add 200 million young people to the labour market by 2030, but it also faces the AI disruption. A recent study highlighted that while nearly 197 million Indian workers are in roles with a high potential for automation, another 46 million are in jobs where AI could significantly boost their productivity. States like Kerala, Maharashtra, and Tamil Nadu are better positioned to see these productivity gains. For India, the challenge is twofold: creating enough jobs for its youth and ensuring the entire workforce is prepared for an AI-integrated future. Investing in digital infrastructure and skills training now, as the IMF suggests, can help India avoid a 'readiness gap' and turn the AI transformation into an opportunity for inclusive growth.
