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Goldman Sachs Report Projects AI-Driven Productivity Gains and Job Displacement Risks in India
The report also identifies 8-12% of employment at risk while noting that 48% of jobs could see productivity improvements.
Goldman Sachs released a research report on July 30, 2026, estimating that generative artificial intelligence could automate 9-17% of current tasks and raise India’s annual labour-productivity growth by roughly 0.4 percentage points over the next decade. The report also identifies 8-12% of employment at risk while noting that 48% of jobs could see productivity improvements.
Goldman Sachs published a research brief on July 30, 2026, that evaluates the impact of generative artificial intelligence (Gen-AI) on India’s economy and labour market [1]. The document focuses on the Indian context, quantifying both potential productivity gains and the scale of job displacement associated with the technology [1].
The report was authored by analysts at Goldman Sachs and targets the Indian economy, covering sectors such as information technology, healthcare, education, and financial services [2]. It derives its estimates by mapping Gen-AI capabilities to task-level data from Indian occupational surveys and by applying productivity growth models used in prior technology adoption studies [3].
Scope and Findings of the Report
The brief estimates that Gen-AI could perform between 9% and 17% of tasks that are currently executed by human workers across a range of occupations [1][2]. The analysis distinguishes between tasks that are fully automatable and those that are likely to be augmented, concluding that a majority of the impact will come from augmentation rather than outright replacement [2].
Goldman Sachs projects that the adoption of Gen-AI will lift India’s annual labour-productivity growth by approximately 0.4 percentage points over the next ten years [1]. The productivity boost is expected to stem primarily from higher output per worker in sectors where AI can assist with data analysis, coding, and routine decision-making [3].
The report identifies two contrasting employment outcomes. First, it flags 8% to 12% of total employment as being at risk of displacement due to task automation [2][3]. Second, it notes that 48% of jobs are likely to experience a productivity uplift, meaning workers in these roles could produce more value with AI assistance [3].
Goldman Sachs projects that the adoption of Gen-AI will lift India’s annual labour-productivity growth by approximately 0.4 percentage points over the next ten years [1].
Methodology and Assumptions
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Read More →Goldman Sachs built its projections on a task-based framework that matches Gen-AI capabilities to the task composition of Indian occupations as recorded in the latest national employment surveys [1]. The analysts applied a range of automation probabilities (low, medium, high) to reflect uncertainty in technology diffusion and adoption rates [2].
The productivity estimate assumes that AI-augmented workers will achieve an average efficiency gain of 0.4 percentage points in annual output, a figure derived from historical productivity lifts observed after the introduction of earlier digital tools [3]. The model also incorporates a ten-year horizon, aligning with the typical rollout period for enterprise-level AI solutions in emerging markets [1].
The report explicitly separates short-term displacement risk from long-term productivity benefits, stating that the net effect on GDP depends on the speed of upskilling and the capacity of firms to integrate AI tools into existing workflows [2].
Impact on Students, Educators, and Employers
Students entering the Indian labour market may encounter a shift in demand toward skills that complement Gen-AI, such as prompt engineering, data interpretation, and AI-enabled problem solving [3]. The identified risk of displacement for 8-12% of jobs suggests that graduates in occupations with high task automation potential may need to acquire additional competencies to maintain employability [2].
Educators at secondary and tertiary institutions are likely to adjust curricula to incorporate AI literacy, given the report’s emphasis on augmentation for nearly half of all jobs [1]. Course redesign may focus on interdisciplinary programs that blend domain expertise with computational thinking, aligning training with the productivity gains projected by Goldman Sachs [3].
Companies may prioritize upskilling existing staff to leverage Gen-AI tools, thereby reducing the need for large-scale hiring while maintaining output growth [2].
Employers across sectors are expected to evaluate AI investment strategies in light of the productivity uplift estimate. Companies may prioritize upskilling existing staff to leverage Gen-AI tools, thereby reducing the need for large-scale hiring while maintaining output growth [2]. The risk of displacement highlighted in the report may also prompt firms to develop transition plans for affected workers, including reskilling initiatives and redeployment programs [3].
Impact on the Indian Economy
The projected 0.4 percentage-point increase in annual labour-productivity growth could translate into measurable GDP gains for India, according to the report’s macroeconomic modeling [1]. However, the uneven distribution of AI effects—benefiting 48% of jobs while placing 8-12% at risk—underscores the need for policy interventions aimed at mitigating inequality [2].
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Read More →Government agencies may reference the findings when shaping national AI strategies, particularly in areas such as workforce development, social safety nets, and sector-specific incentives for AI adoption [3]. The report’s data-driven approach provides a quantitative baseline for tracking AI’s economic impact over the coming decade [1].
Key Facts
What: Goldman Sachs reports that generative AI could automate 9-17% of tasks, lift productivity by 0.4 percentage points, and put 8-12% of Indian jobs at risk.
Impact: Students, educators, employers, and policymakers must address skill gaps and displacement risks while leveraging projected productivity gains.
When: Report released on July 30, 2026.
Impact: Students, educators, employers, and policymakers must address skill gaps and displacement risks while leveraging projected productivity gains.
Sources
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Read More →- Goldman Sachs sees Gen-AI boosting India’s productivity, limited job displacement – Economic Times EnterpriseAI
- Goldman Sachs sees Gen-AI boosting India’s growth, but warns of uneven impact on jobs – Fortune India
- Goldman Sachs on AI & Indian Jobs: 8-12% employment at risk, but 48% set for productivity boost – Financial Express
