Top 4 AI Stocks in India to Add to Your Watchlist
Stat-callout: India’s AI market is projected to grow at a CAGR of 25–30% through FY27, with enterprise AI spending expected to cross ₹18,000 crore by 2026, according to a NASSCOM report. This makes AI-focused stocks a critical addition to any Indian retail investor’s portfolio.
Artificial intelligence is no longer a futuristic concept — it is reshaping how Indian companies operate, from customer service to supply chain management. For retail investors in Mumbai, Delhi, Bengaluru, and beyond, identifying the right AI stocks can mean the difference between riding a structural trend and missing the bus. In this article, we analyse four Indian companies that are leveraging AI to drive revenue growth, improve margins, and create long-term shareholder value. We focus on real names — TCS, Infosys, Reliance Industries, and Bajaj Finserv — and provide data-backed insights for your watchlist.
Why AI Stocks in India Matter for FY26/27
India’s digital economy is expanding rapidly, fuelled by initiatives like Digital India, UPI, and the government’s push for AI-led governance. The BSE Sensex and Nifty50 have both seen heightened volatility, but AI-focused businesses have demonstrated resilience. SEBI’s recent guidelines on AI disclosures for listed companies have also increased transparency, making it easier for investors to evaluate AI exposure. As the festive season approaches — from Diwali sales to the holiday period — consumer-facing companies are deploying AI for personalised marketing, while financial firms use AI for credit scoring and fraud detection. The RBI’s focus on AI in banking further underscores the sector’s importance.
Top 4 AI Stocks in India to Watch
1. Tata Consultancy Services (TCS)
TCS has been at the forefront of AI adoption in India. Its TCS AI Platform and ignio™ (AI-driven IT operations) are used by clients across banking, retail, and healthcare. In Q1 FY26, TCS reported a 12% year-on-year increase in AI-related revenue, contributing nearly 15% of total revenue. The company has also launched TCS Pace™ in Bengaluru and Pune, dedicated AI innovation labs. For investors, TCS offers a dividend yield of around 1.2% and a consistent track record of buybacks. The stock currently trades at ₹3,850 (as of July 2026), with a P/E of 28. TCS’s AI focus makes it a core holding for long-term portfolios.
2. Infosys
Infosys has invested heavily in generative AI through its Infosys Topaz suite, which helps enterprises automate workflows and build AI-powered applications. The company has secured multiple AI contracts in the UK and US, but its India-specific projects — such as AI-based grievance redressal for a state government in Hyderabad — show domestic depth. In FY26, Infosys guided for 8–10% revenue growth, with AI contributing 20% of new deal wins. The stock is available at ₹1,720, with a P/E of 24. Infosys’s strong cash flows (₹12,500 crore in FY25) allow it to invest in AI R&D without compromising dividends.
3. Reliance Industries Limited (RIL)
Reliance is not just an energy and telecom giant — it is also an AI powerhouse. Its Jio Platforms division has partnered with NVIDIA to build AI infrastructure, including a large language model (LLM) for Indian languages. Reliance Retail uses AI for inventory management and customer analytics, especially during the festive season. The company’s AI-driven JioBrain platform is being deployed across manufacturing and telecom. RIL’s stock trades at ₹2,950, with a P/E of 32. For investors in Ahmedabad and Mumbai, RIL offers a play on AI at scale, backed by a strong balance sheet (debt-to-equity of 0.4).
4. Bajaj Finserv
Bajaj Finserv, through its lending arm Bajaj Finance, uses AI for credit underwriting, fraud detection, and customer service. Its AI-powered loan approval system reduces processing time to under 10 minutes, a key differentiator in the Indian market. In Q1 FY26, Bajaj Finserv reported a 18% rise in net profit, partly driven by AI-led cost efficiencies. The stock trades at ₹7,800, with a P/E of 36. Bajaj Finserv’s AI investments are particularly relevant for investors in Pune and Delhi, where the company has a strong branch network. The RBI’s digital lending guidelines have also encouraged AI adoption in this space.
Indian Market Data Table
| Company | AI Product/Platform | Stock Price (₹) | P/E Ratio | AI Revenue Contribution (FY26) | Market Cap (₹ crore) |
|---|---|---|---|---|---|
| TCS | ignio™, TCS AI Platform | 3,850 | 28 | ~15% | 14,20,000 |
| Infosys | Infosys Topaz | 1,720 | 24 | ~20% of new deals | 7,10,000 |
| Reliance Industries | JioBrain, AI LLM | 2,950 | 32 | ~8% (Jio segment) | 19,80,000 |
| Bajaj Finserv | AI credit scoring | 7,800 | 36 | ~12% (lending ops) | 5,60,000 |
Data as of July 2026. Prices are approximate and sourced from BSE. P/E ratios are trailing twelve months.
Blockquote: “AI is not a separate vertical — it is a horizontal enabler across every industry in India. From TCS automating IT operations to Bajaj Finserv approving loans in minutes, the companies that embed AI into their core processes will outperform those that treat it as an experiment.” — Ashish Gupta, Head of Research, MarketToMoney
How to Evaluate AI Stocks in India
When adding AI stocks to your watchlist, consider these factors:
- AI revenue visibility: Look for companies that disclose AI-related revenue or deal wins (e.g., TCS, Infosys).
- Management commentary: In quarterly calls, listen for mentions of AI investments, partnerships, and ROI.
- Regulatory alignment: SEBI and RBI are increasingly scrutinising AI use in financial services. Companies with robust governance (like Bajaj Finserv) are better positioned.
- Valuation: AI stocks often command a premium. Compare P/E with sector averages (Nifty IT P/E ~26). Avoid overpaying during festive season rallies.
For example, during the Diwali sales period, Reliance Retail’s AI-driven demand forecasting can boost margins, while Infosys’s AI automation may lead to higher contract wins in Q3 FY26.
Final Thoughts
AI is a structural theme for Indian equity markets. The four stocks analysed — TCS, Infosys, Reliance Industries, and Bajaj Finserv — offer diversified exposure to AI across IT, telecom, and financial services. However, no stock is without risk. Keep an eye on global AI regulations, currency fluctuations (USD/INR), and domestic competition. As always, consult your financial advisor before making investment decisions.
For more analytical insights and a curated watchlist of Indian stocks, visit MarketToMoney. We help retail investors like you make data-driven decisions without the noise.