Goldman Sachs Highlights 42 Indian Stocks Profiting from AI Growth

Goldman Sachs has identified 42 Indian companies that are set to benefit from the rapid expansion of artificial intelligence (AI) infrastructure in India. These firms, spanning sectors such as power, data centers, and semiconductors, have collectively seen their stock prices surge by around 60% in 2026—a substantial outperformance compared to the broader market.

AI Infrastructure Drives Growth in Select Indian Stocks

In a detailed analysis released by Goldman Sachs in September 2026, the global investment bank screened approximately 1,800 Indian companies with a combined market valuation of about $5 trillion. Applying rigorous filters based on market size, liquidity, revenue growth, capital expenditure, and management commentary focused on AI infrastructure development, Goldman Sachs singled out 42 “AI enablers.” These companies have a combined market capitalization of roughly $670 billion.

This select group includes companies active in critical AI-supporting sectors: power generation, data center hardware and operations, semiconductor manufacture, and other essential infrastructure components. Notable enterprises named include major conglomerates like Larsen & Toubro, Reliance Industries, Adani Enterprises, and Bharti Airtel, alongside specialized firms such as Tata Power, Adani Green Energy, Kirloskar Oil Engines, CG Power, and Sterlite Technologies.

Strong Stock Performance Amid Overall Market Challenges

While the Nifty 50 index has experienced a decline of approximately 12% in 2026, the basket of Goldman Sachs’ identified AI enablers has delivered an average price gain of nearly 60%. This stark divergence challenges the perception that India offers limited exposure to AI-driven growth. Instead, it highlights a high-growth pocket within the Indian market fueled by infrastructure investments tied to AI adoption and the digital economy.

Goldman Sachs notes that these stocks are trading at a premium, with a forward price-to-earnings (P/E) ratio around 36 times earnings, which is about 85% higher than the MSCI India index. However, when adjusted for earnings growth expectations, the price-to-earnings-to-growth (PEG) ratio of these companies stands at roughly 1.3 times, slightly lower than the MSCI India index’s 1.4 times, indicating reasonable valuation metrics given their growth prospects.

Sectors and Companies Leading the AI Enabler List

The AI enabler companies span several key industry segments essential for AI infrastructure:

• Power and Renewable Energy: This includes firms such as Adani Green Energy, Tata Power, NTPC Green Energy, ACME Solar, and Power Grid, which supply the electricity backbone needed for AI data centers and computing facilities.
• Data Center Operators and Hardware Makers: Sector leaders comprise Bharti Airtel, Reliance Industries, Brigade Enterprises, and Anant Raj, which are engaged in data center development and operations crucial for AI workloads.
• Semiconductors and Technology Hardware: Several companies in semiconductor manufacturing and technology hardware like Gujarat Fluorochemicals, Navin Fluorine, Sterlite Technologies, Kaynes Technology, and Syrma SGS Technology have been recognized for their role in the AI supply chain.
• Industrial Components and Infrastructure: This category includes Kirloskar Oil Engines, CG Power, Cummins India, Siemens, Schneider Electric Infrastructure, Paras Defence, and others, which provide the underlying industrial machinery and components supporting AI-related infrastructure growth.

Implications for Investors Following India’s AI Build-Out

The identification of these 42 AI enabler stocks offers investors insights into sectors and companies that are positioned to capitalize on India’s expanding AI investment cycle. With rising capital expenditures and strong growth pipelines, these firms are likely to be key beneficiaries of the digital transformation underway.

Investors may want to monitor the ongoing capital spending by hyperscale tech companies that demand physical infrastructure such as data centers and power facilities. The progress and execution by these Indian firms in scaling infrastructure could materially impact their earnings growth and stock performance.

While the premium valuations reflect bullish growth expectations, investors should consider the associated risks from market volatility and shifts in technology adoption. It remains important to watch how these companies execute on their AI-related initiatives and how the broader macroeconomic environment influences demand for AI infrastructure.

What to Watch Next in India’s AI Sector

Key developments to track include further capital expenditure trends in AI-related infrastructure such as data centers and semiconductor manufacturing. Regulatory and policy updates supporting AI and digital transformation in India could also enhance growth prospects.

Additionally, the financial results and management commentary of the 42 firms spotlighted by Goldman Sachs will provide critical signals about earnings momentum and market positioning within the AI ecosystem.

In summary, Goldman Sachs’ identification of Indian companies benefiting from AI infrastructure investments spotlights a robust growth segment that contrasts with broader market weakness, presenting opportunities for investors watching India’s evolving technology landscape.