Policy

AI Will Augment Rather Than Replace Jobs in India, Says Goldman

Goldman Sachs economist sees productivity gains outweighing displacement risk as generative AI spreads across Indian sectors.

Omega Editorial· August 20, 2026· 2 min read

Goldman Sachs projects AI-driven job augmentation in India

Generative AI adoption in India is more likely to enhance existing jobs than eliminate them on a broad scale, according to Goldman Sachs' latest analysis of the technology's labor market impact.

Santanu Sengupta, Goldman Sachs' Chief India Economist, presented the firm's findings in a recent interview, outlining how AI-driven augmentation is expected to outweigh large-scale job replacement across the Indian economy. The assessment comes as businesses throughout India accelerate their deployment of generative AI tools.

Why it matters

India's massive workforce and rapidly growing technology sector make it a critical test case for AI's economic impact in emerging markets. Understanding whether AI primarily displaces or enhances workers will shape policy decisions, corporate investment strategies, and workforce development programs across South Asia's largest economy.

Sector-specific impacts vary

The Goldman Sachs report identifies significant variation in how different sectors will experience AI adoption. Some industries face greater substitution risks, where AI systems could potentially replace human workers in specific tasks. Other sectors are positioned to see AI primarily complement existing roles and boost productivity without widespread displacement.

Sengupta's analysis suggests that the net effect across India's diverse economy tilts toward augmentation rather than replacement, though the distribution of these effects will not be uniform.

Productivity enhancement over displacement

The core thesis of the Goldman Sachs research centers on AI's capacity to enhance worker productivity rather than eliminate positions entirely. This augmentation model suggests that AI tools will enable existing employees to accomplish more, work more efficiently, or take on higher-value tasks previously beyond reach.

This productivity-focused view contrasts with more pessimistic projections that emphasize job displacement. The distinction matters for how companies, workers, and policymakers should prepare for AI integration.

Implications for India's workforce

For India's large and growing workforce, the Goldman Sachs assessment offers a more optimistic outlook than scenarios predicting massive technological unemployment. However, the augmentation model still requires workers to adapt, acquire new skills, and learn to work effectively alongside AI systems.

The report's sector-by-sector analysis provides a roadmap for understanding where risks and opportunities concentrate, potentially guiding education and training investments.

The findings were first reported by CNBC during its "Inside India" programming.

#artificial intelligence#india#goldman sachs#labor market#job automation#workforce

This is an original analysis by the Omega editorial team. Source reporting: AI Watch.

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