What happened
Chief Economic Advisor V. Anantha Nageswaran released a privately authored white paper titled 'AI, Automation and India’s Workforce: Who Gains, Who’s Exposed, and How Policy Can Shape the Future' in Chennai. The report, authored by academics and government officials, provides a quantitative assessment of how artificial intelligence is affecting employment across India.
The white paper, authored by Vidya Mahambare (Great Lakes Institute of Management), Vivek Jadhav (Institute of Management Technology, Ghaziabad), and Vishnu Venugopalan (IAS officer), tracks AI-related labor trends from 2012 to 2025.
Key findings indicate that while the share of Indian employment exposed to AI has risen modestly, fewer than 8% of employed individuals were in occupations with a realistic chance of AI complementarity as of 2025.
The report notes that work under 'substitution pressure'—where AI may replace human tasks—continues to outweigh 'complementary work' by a ratio of two to one. Furthermore, employment in routine work exposed to automation increased by 4.8 percentage points over the 13-year study period.
The data reveals that AI exposure is heavily skewed toward younger workers, with 29% of those aged 25 to 34 in exposed occupations, compared to 19% for those aged 55 to 64.
Source details: thehindu.com ↗
Why it matters
The report provides a rare, data-driven look at the intersection of AI and the Indian labor market, which is critical for policymakers navigating the transition to an AI-integrated economy. By quantifying the ratio of 'substitution pressure' versus 'complementary work,' the paper offers a nuanced view of how AI is not just replacing jobs but also creating new, albeit limited, opportunities for human-AI collaboration. Understanding these regional and demographic disparities is essential for designing effective workforce development and education policies in a country with a massive, diverse labor force.
The report establishes a baseline for understanding India's specific AI labor landscape, distinguishing it from global benchmarks. With 46.3 million workers in AI-complementary roles, India sits between the United States (52.5 million) and Russia (20.9 million) in terms of absolute numbers, providing a comparative scale for the country's digital transformation.
The identification of regional disparities—specifically that southern states have higher exposure but not necessarily higher quality integration—points to a need for localized policy responses rather than a 'one-size-fits-all' national strategy.
By highlighting that substitution pressure still significantly outweighs complementary work, the paper serves as a cautionary note for policymakers that the benefits of AI in the workforce are not yet evenly distributed or inherently positive for all job categories.
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What to watch next
Observers should monitor whether the findings in this white paper influence upcoming government policy or national skill-development initiatives. The report highlights that while southern states lead in AI exposure, they do not necessarily lead in the quality of that exposure, suggesting a potential focus area for future state-level interventions. Additionally, the ongoing gap between substitution pressure and complementary work remains a key metric for tracking the long-term economic impact of AI adoption in India.
Watch for potential follow-up consultations or policy frameworks from the Indian government that utilize this data to address the 'quality of exposure' gap in southern states.
Monitor whether the government adopts the report's methodology to track the evolution of the substitution-to-complementary ratio in future economic surveys.
The report's focus on age-based exposure suggests that future workforce training programs may need to be specifically tailored to older demographics who currently show lower levels of AI-related job exposure.