A Global Warning Shot
The debate intensified following recent statements from IMF Managing Director Kristalina Georgieva, who cautioned that without proper safeguards, the risks of AI could outweigh its benefits. According to IMF analysis, approximately 40% of jobs worldwide
are exposed to AI, a figure that jumps to 60% in advanced economies. Georgieva's 'tsunami' comparison underscores the scale of the transformation, which could augment some roles, downgrade others, or make some jobs entirely redundant. This isn't just about job losses; it's a fundamental reshaping of the labour market that demands immediate attention from policymakers globally.
Disruption and Opportunity
The IMF’s research paints a nuanced picture. A recent analysis of Asian economies, including India, found that employer demand for jobs highly exposed to AI, like coding, has fallen by nearly 10% since late 2022. However, this isn't a simple story of job destruction. The same report notes the emergence of new roles requiring specialised AI skills like prompt engineering. Firms that are actively adopting AI and seeking these new skills are showing stronger growth in job postings, even in roles exposed to automation. This suggests AI is creating a dual reality: compressing hiring in some areas while creating new, often higher-paying, opportunities in others. The key challenge is that these new opportunities are not equally accessible to all.
The Challenge for India's Workforce
For India, the stakes are particularly high. While the country’s large agricultural sector faces lower immediate AI exposure, the transition of its massive young workforce into higher-productivity service and manufacturing jobs could be complicated by automation. The IMF has noted that India is well-positioned in the AI race due to its investments in digital public infrastructure, but Georgieva has specifically warned that the sheer scale of India's workforce means the absolute number of affected workers will be substantial. Recent data shows a 'skills-first' hiring market emerging, where workers without AI fluency may find traditional career paths less reliable, a trend that could widen the employability divide if not addressed.
Beyond Just 'Learn to Code'
The IMF’s call to action goes far beyond simply telling workers to reskill. The recommendations emphasize the need for a robust policy framework to manage the transition. This includes strengthening social safety nets like unemployment insurance to support displaced workers. It also involves a complete rethinking of education to equip young people with the cognitive, creative, and technical skills that complement AI. Furthermore, the IMF stresses the importance of active labour-market policies, such as career guidance and apprenticeships, to help workers move into new roles and ensure the benefits of AI are shared broadly. The goal is to build a resilient and adaptable workforce, not just a technically proficient one.
A Call for Proactive Governance
Ultimately, the IMF's debate is a call for proactive, not reactive, governance. Georgieva has advocated for a hybrid approach combining industry self-regulation with government oversight, involving major AI-producing nations like India, the US, and China. Essential preconditions include reliable digital and energy infrastructure, a skilled workforce, and strong regulatory frameworks to build public trust. The message is clear: technical progress alone will not guarantee shared prosperity. Without intentional policies to manage the transition, AI threatens to increase inequality and leave millions of workers behind. The time to build those safeguards is now, before the full force of the wave arrives.
