Goldman: Gen-AI to Reshape 48M+ Indian Jobs—But Only 8-12% at Risk

For chief human resources officers and workforce planners, Goldman Sachs' new India report is a wake-up call—but not a doomsday. With 8-12% of non-agricultural roles at risk of outright substitution by generative AI, the real story is the 42-48% that will be augmented. HR teams need to shift from headcount reduction to job redesign, identifying which tasks within roles can be automated and which require new human skills. The sectors most exposed—education, media, finance, professional services—will need to invest heavily in upskilling to turn AI into a productivity tool rather than a job killer.

A new Goldman Sachs report has quantified the looming impact of generative artificial intelligence on India's labor market, estimating that 8-12% of non-agricultural jobs are at direct risk of substitution. However, the broader story is one of augmentation rather than elimination: 42-48% of non-agricultural employment is likely to be complemented by Gen-AI, with productivity gains outweighing displacement. The remaining workforce in sectors like construction, heavily reliant on physical labor, remains largely insulated. This nuanced projection underscores a global pattern where white-collar, service-oriented roles face the greatest exposure to automation, while manual and interpersonal tasks prove more durable.

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With 8-12% of non-agricultural roles at risk of outright substitution by generative AI, the real story is the 42-48% that will be augmented.

The report's task-based analysis reveals that 9-17% of non-agricultural work tasks in India could be automated by Gen-AI, depending on the technology's ability to handle increasingly complex activities. If Gen-AI can master tasks of difficulty levels three to four—such as monitoring regulatory compliance, examining financial records, and analyzing data trends—then 13-15% of tasks fall within its reach. This places India's services-heavy economy at a crossroads: its booming IT, financial services, and professional services sectors are among the most exposed globally, while its vast informal and agricultural sectors (excluded from the study) may see indirect effects through changing demand patterns.

The educational and media sectors stand out as high-exposure areas. India's large edtech industry and media houses could face both substitution of routine content creation and analysis roles, and complementary augmentation of teaching, editing, and research tasks. Meanwhile, financial services—a sector employing millions in back-office processing, analytics, and customer support—may see substantial restructuring. Professional services firms, which have long relied on junior associates for document review and basic legal/consulting analysis, will need to rethink workforce models. This aligns with broader global research from Goldman Sachs, which has previously estimated that two-thirds of current jobs in the U.S. and Europe are exposed to some degree of AI automation.