The Twin Challenges: Demographics and Disruption
Across Asia, demographic tides are turning. For decades, a growing, youthful workforce powered remarkable economic expansion. Now, many nations face the opposite: shrinking workforces and an increasing number of retirees. Countries like Japan, South Korea,
and China could see their working-age populations decline by nearly 25% by 2050. This demographic shift threatens to slow down economic growth. Simultaneously, the rise of artificial intelligence is reshaping industries and job markets. IMF Managing Director Kristalina Georgieva has described AI's impact on labour as a 'slow-moving tsunami'. The concern is that AI could automate jobs faster than new ones are created, potentially displacing workers and exacerbating inequality, especially for those in the middle of their careers or with skills that are becoming obsolete.
AI: A Surprising Solution?
While AI poses risks, the IMF also sees it as a powerful tool to counteract the economic drag from an ageing population. By enhancing productivity, AI could significantly boost economic output. IMF models suggest that widespread AI adoption could lift annual growth by 0.5 to 1 percentage point in Asia's advanced economies and by 0.2 to 0.8 percentage points in its emerging markets. Georgieva noted that if countries successfully capture these productivity gains, they could more than offset the economic pressure from demographic decline. The key, as IMF Asia and Pacific Director Krishna Srinivasan points out, is whether AI augments human workers or simply automates their jobs away.
The Imperative of Workplace Training
To ensure AI acts as a partner to human labour, the IMF strongly emphasizes the need for investment in workforce training and education. As AI takes over routine tasks, the skills that are in demand are changing. Older workers, who may be less familiar with new technologies, are particularly at risk of being left behind. To mitigate this, governments and businesses must prioritize lifelong learning, reskilling, and upskilling programs. This includes fostering general AI literacy, developing specialized skills like prompt engineering, and teaching employees how to integrate AI with a company's internal knowledge and data. Proactive reforms that raise skills can accelerate the beneficial adoption of AI by a decade or more.
An Uneven Playing Field
The IMF cautions that the benefits of AI will not be distributed evenly. Advanced economies like Japan and Singapore, with their strong digital infrastructure and highly skilled populations, are better positioned to adopt AI quickly and reap its rewards. Emerging markets, however, often lack the necessary foundations, from digital infrastructure to worker training programs, to fully harness AI's potential. This creates a serious risk of widening the economic gap between nations. For policymakers in emerging economies, the priority must be to build these foundational elements to avoid being left further behind. This disparity also exists within countries, where high-skilled workers who can leverage AI are likely to see their productivity and wages rise, while others fall behind.
The View from India
India finds itself in a unique position. Unlike many East Asian nations, India is still in its 'early-dividend' demographic phase, with a young and growing working-age population. This demographic advantage provides a longer runway to prepare for the AI transition. However, the challenges remain the same. The IMF's warnings about the potential for AI to disrupt entry-level jobs are particularly relevant for a country that needs to create millions of new jobs for its youth. The focus, therefore, must be on laying a strong foundation through investments in digital infrastructure and widespread digital training for workers. By learning from the experiences of its more rapidly ageing neighbours, India has an opportunity to build a resilient, adaptable workforce capable of thriving alongside AI.
