{"id":282119,"date":"2026-10-01T09:35:13","date_gmt":"2026-10-01T04:05:13","guid":{"rendered":"https:\/\/univest.in\/blogs-2\/?p=282119"},"modified":"2026-10-01T09:35:13","modified_gmt":"2026-10-01T04:05:13","slug":"ai-stocks-in-india-ai-enablers-goldman-sachs-power-data-centres","status":"publish","type":"post","link":"https:\/\/univest.in\/blogs-2\/ai-stocks-in-india-ai-enablers-goldman-sachs-power-data-centres\/","title":{"rendered":"AI Stocks in India: No Pure-Plays, But Goldman Sachs’ 42 AI Enablers in Power, Data Centres and Semiconductors Have Surged 60% in 2026"},"content":{"rendered":"

Goldman Sachs: 42 Indian AI enablers up about 60% in 2026 vs Nifty down 12%. Trade at about 36x forward earnings. AI-exposed share of MSCI India: just 16%. Combined market value about USD 670 bn.<\/em><\/p>\n

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Quick Answer<\/strong><\/p>\n

AI stocks in India are not pure-play AI developers like those in the US. Instead, investors are buying AI enablers, the companies that supply power, data centres, equipment and semiconductor components. Goldman Sachs identified 42 such stocks in a 17 September 2026 note, and the basket rose about 60% this year to mid-September while the Nifty 50 fell 12%. Earnings growth of about 29% a year through 2028 supports the trend, but the group trades at about 36 times forward earnings, near the top of its historical range.<\/p>\n<\/div>\n

AI stocks in India look very different from the US. There are few listed companies building AI models or chips, yet investors have found other ways to play the AI boom. A group of AI enablers, from power and data centre stocks to semiconductor stocks, has surged even as the broader Indian market has struggled.<\/p>\n

To map AI stocks in India, Goldman Sachs in a 17 September 2026 note listed 42 Indian AI enablers across power infrastructure, data centre hardware and semiconductors. These stocks rose about 60% on average from 1 January to mid-September, compared with a 12% decline in the Nifty 50 over the same period.<\/p>\n

Click Here – Get Free Investment Predictions<\/strong><\/a><\/p>\n

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