AI and India’s Changing Employment Geography

For nearly three decades, India’s development strategy has rested on a simple economic principle: move millions of workers from low-productivity agriculture into higher-productivity manufacturing and services. This structural transformation has been the cornerstone of every rapidly growing economy. However, the emergence of Artificial Intelligence (AI) has introduced a profound new dilemma. If AI begins reducing labour demand in manufacturing and services themselves, where will India’s vast workforce leaving agriculture ultimately find employment? This question is no longer theoretical. It is rapidly becoming one of the defining economic challenges of India’s growth story.

Economic development across emerging economies has historically depended upon labour shifting from less productive sectors to more productive ones. India has followed the same trajectory through the expansion of information technology, banking, telecommunications, retail, tourism and manufacturing. Yet the transition remains incomplete. According to the Periodic Labour Force Survey (PLFS), nearly 46 per cent of India’s workforce is still employed in agriculture, although the sector contributes only around 16 per cent of the country’s Gross Domestic Product. In other words, almost half of India’s workers remain concentrated in the least productive segment of the economy, a structural imbalance that continues to suppress per capita income.

For years, economists and policymakers have viewed manufacturing and services as the natural destination for surplus agricultural labour. The Reserve Bank of India and successive Economic Surveys have repeatedly emphasised that India’s long-term prosperity depends upon accelerating this movement towards higher-productivity sectors. Artificial Intelligence, however, is beginning to alter this equation fundamentally.

The concern is not AI itself but the changing geography of employment it is creating. As businesses increasingly automate repetitive and routine tasks, many of the entry-level jobs that once served as the first stepping stone for millions of young Indians are gradually disappearing.

Evidence of this shift is already visible. Recent media reports indicate that by March 2026, HDFC Bank recorded nearly a five per cent decline in its non-supervisory workforce, while the State Bank of India witnessed a reduction of around seven per cent in similar roles. At the same time, demand for managerial, analytical and highly skilled professionals remained largely unaffected. This pattern reflects a broader reality: AI is replacing repetitive operational work while increasing the premium on specialised human capabilities.

Banking is only the beginning. Similar trends are likely to emerge across insurance, financial services, accounting, customer support, logistics, retail, warehousing and manufacturing. AI-driven technologies undoubtedly improve productivity, efficiency and customer experience. Yet they also reduce the demand for routine human labour.

India faces an especially difficult challenge because nearly eight to ten million young people enter the labour market every year. If low-skilled employment opportunities shrink while new jobs increasingly demand advanced digital, analytical and technical capabilities, the country risks creating a widening mismatch between available skills and available work. Such an imbalance would not merely be an economic concern; it could evolve into a significant social challenge.

The International Labour Organization has already highlighted that occupations involving repetitive tasks are among the most vulnerable to AI-driven automation. Likewise, the World Economic Forum projects that while technological advances will generate entirely new categories of employment, these opportunities will require substantially different skill sets. Consequently, India’s foremost priority must extend beyond creating new jobs to preparing its workforce for an AIdriven economy.

This calls for a fundamental shift in policy thinking. Economic success can no longer be measured solely by GDP growth, investment inflows or export performance. Employment generation must become an equally important indicator of development. An economy expanding at seven per cent annually but producing limited employment cannot deliver truly inclusive growth. Policymakers must increasingly ask not only how many jobs are being created, but also whether those jobs are resilient enough to withstand technological disruption over the next decade.

Artificial Intelligence should not be viewed as an adversary. Technological progress has always been indispensable to economic advancement. The challenge lies in ensuring that its benefits are widely shared rather than narrowly concentrated. Rising productivity, stronger corporate profitability and faster economic growth will have limited social value if millions of educated young people continue asking a simple but unsettling question: Where are the jobs?

India’s task, therefore, is not to resist Artificial Intelligence but to redefine the relationship between technology and employment. This will require large-scale investment in reskilling, vocational education, digital literacy, lifelong learning and innovation-led entrepreneurship. Equally important will be encouraging sectors capable of generating meaningful employment alongside technological advancement.

As India moves towards its vision of becoming a developed nation by 2047, the ultimate measure of success will not be how intelligent its machines become, but whether human opportunity expands at the same pace. If India succeeds in striking this balance, Artificial Intelligence could become its greatest economic strength. If it fails, the same technology may deepen inequality and reshape the country’s employment geography in ways that challenge both economic growth and social stability.

THE VIEWS EXPRESSED BY THE AUTHOR ARE PERSONAL

Dr P S Vohra, The writer is a columnist and financial thinker