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Artificial intelligence is quickly becoming one of the most important technology themes for Indian companies and investors. The AI opportunity is no longer limited to software companies developing applications or providing traditional IT services. It now extends across enterprise software, digital engineering, cloud computing, automation, cybersecurity, automotive technology, data centres and the infrastructure required to support high-performance computing.
Indian technology companies are increasingly moving from AI experimentation toward practical enterprise deployments. Businesses are using generative AI, agentic AI and automation to modernise software, improve customer operations, analyse data and automate repetitive processes. At the same time, the rapid growth of AI workloads is creating demand for data-centre capacity and specialised infrastructure.
This changing environment is creating opportunities for several listed Indian companies. Some have established AI businesses within large IT-services operations, while others have more specialised exposure to digital engineering or AI infrastructure.
Here are 10 Indian stocks worth watching in the AI theme in 2026. The companies operate in different parts of the AI ecosystem, so they should not be treated as identical businesses. This is an educational watchlist and not a recommendation to buy or sell any stock.
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1. Tata Consultancy Services
Tata Consultancy Services remains one of the largest Indian companies positioned to benefit from enterprise AI adoption. Its scale, global client base and relationships with large corporations give it an important role as businesses move AI from experimentation into production.
TCS reported annualised AI revenue of $2.6 billion in Q1 FY27, up 13.6% sequentially. The company also announced several AI-led transformation wins, including an $800 million engagement with SKF. Its AI work spans software engineering, modernisation, process redesign, IT operations and autonomous business services.
The opportunity for TCS is therefore broader than selling standalone AI products. Large enterprises need help integrating AI into existing technology environments, and large IT-services companies can potentially capture this implementation and transformation spending.
Investors should nevertheless watch whether the growth in AI services translates into faster overall revenue growth, as AI automation could also reduce demand for some traditional IT-services work.
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2. Infosys
Infosys is another major Indian IT company making AI central to its growth strategy. Its Infosys Topaz ecosystem focuses on generative AI, agentic AI and enterprise transformation.
The company has expanded its AI partnerships with global technology companies. In April 2026, Infosys announced a strategic collaboration with OpenAI focused on enterprise AI transformation, software development and modernisation. It has also partnered with Anthropic to develop enterprise AI solutions across telecommunications, financial services, manufacturing and software development.
Infosys has described an incremental AI-first services opportunity of $300 billion to $400 billion by 2030, based on an industry estimate cited by the company. Its strategy combines new AI services with the use of AI to enhance existing services.
The key question for investors is whether this large opportunity can translate into sustained revenue growth and stronger productivity while the broader IT industry adjusts to an AI-driven operating model.
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3. HCLTech
HCLTech has become one of the more interesting large-cap Indian IT companies in the AI transition because it reports a specific Advanced AI revenue figure.
In Q1 FY27, HCLTech’s Advanced AI revenue reached $171 million, representing 62.1% year-over-year growth in constant-currency terms and 10.6% sequential growth. The company also reported a $2.4 billion record level of new deal bookings.
HCLTech is also expanding into AI infrastructure. The company said it plans to invest up to ₹3,500 crore to establish AI data centres, while one of its AI Factory programmes received additional scope worth more than $180 million.
This combination of enterprise AI services, AI engineering and infrastructure gives HCLTech exposure to several parts of the AI value chain.
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The major factor to monitor is whether the rapid growth of its Advanced AI business can become large enough to materially change the company’s overall growth profile.
4. Persistent Systems
Persistent Systems provides a more focused exposure to digital engineering and enterprise AI than the largest Indian IT companies.
The company reported Q1 FY27 revenue of $452.4 million, up 16.1% year over year, with EBIT growth of 32.7%. It also recorded quarterly total contract value of $1.15 billion. Persistent says its strategy is centred around helping enterprises scale AI through engineering, data and digital transformation capabilities.
Its recent developments include partnerships designed to help enterprises move AI into production and expand its AI-led digital engineering capabilities. Persistent has also entered into a business combination agreement with Nagarro, which could further strengthen its digital engineering footprint.
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Persistent is therefore worth watching for investors who want exposure to the implementation side of AI rather than companies directly developing foundational AI models.
Valuation remains an important consideration because strong growth expectations can already be reflected in technology-stock prices.
5. Coforge
Coforge has positioned itself as an AI-native engineering services company and has recently delivered particularly strong growth.
For Q1 FY27, Coforge reported revenue growth of 49% year over year in Indian rupee terms, while profit after tax increased 110%. Its next-12-month signed order book reached $2.23 billion, and the company said 86% of revenue came from AI-led engineering, data and cloud services.
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This makes Coforge one of the more direct ways to track the AI-led transformation occurring inside the Indian IT-services sector.
The company is also using AI internally to improve delivery efficiency and margins. Its FY26 results showed substantial expansion in EBIT and EBITDA, highlighting the possibility that AI adoption can influence not only revenue opportunities but also the economics of service delivery.
The risk is that investors may assign high growth expectations to AI-focused IT companies. Future performance will therefore depend on maintaining strong order growth and converting AI demand into sustainable earnings.
6. Mphasis
Mphasis is another Indian technology company moving toward a platform-led AI business model.
The company has developed Mphasis NeoIP, an AI platform designed to support enterprise transformation, and launched Mphasis Tria in 2026 as an enterprise agency platform focused on moving businesses from AI experimentation toward measurable outcomes.
Mphasis is focusing heavily on areas such as intelligent decision-making, automation, modernisation and enterprise data. It has also partnered with the Indian School of Business to establish an AI Hub focused initially on healthcare and finance, with an investment of approximately ₹20 crore over four years through the Mphasis F1 Foundation.
The company’s AI positioning makes it an interesting stock to watch as enterprises increasingly look for specialised AI solutions rather than generic technology consulting.
Investors should examine whether its platform strategy can generate recurring, scalable revenue rather than remaining primarily dependent on traditional services.
7. Tech Mahindra
Tech Mahindra provides another established Indian IT-services exposure to the AI transformation theme. Its strength in telecommunications, engineering and enterprise technology gives it multiple areas where AI adoption can create new opportunities.
Telecom companies are increasingly exploring AI for network optimisation, customer service, automation and predictive operations. These applications require technology partners capable of integrating AI into complex legacy environments.
Tech Mahindra is therefore positioned around the practical deployment of AI rather than simply the development of AI models. Its broader transformation business also gives it exposure to cloud, data, cybersecurity and digital engineering, all of which are closely connected to enterprise AI adoption.
For investors, the key issue is execution. Tech Mahindra needs to demonstrate that AI-led transformation can contribute meaningfully to growth while the company continues to manage the challenges facing the traditional IT-services industry.
8. LTIMindtree
LTIMindtree is another Indian IT-services company worth monitoring as AI adoption moves into enterprise applications and digital transformation.
The company operates across cloud, data, enterprise applications and digital engineering, providing several routes through which customers can adopt AI. The shift toward agentic AI could be particularly important because businesses will increasingly need to connect AI systems with enterprise data, workflows and existing software.
LTIMindtree’s opportunity lies in helping businesses redesign technology environments rather than treating AI as an isolated tool. This could create demand for consulting, application modernisation, cloud migration, data engineering and AI implementation.
However, investors should also consider the competitive pressure from much larger IT companies and faster-growing specialised digital-engineering firms.
9. Tata Elxsi
Tata Elxsi offers a different AI opportunity because its business is closely connected to engineering and product development. The company works across automotive, healthcare, media and communications, where AI is increasingly being incorporated into real-world products and systems.
The automotive sector is particularly important. AI is becoming central to advanced driver-assistance systems, autonomous driving, software-defined vehicles and intelligent vehicle platforms. Tata Elxsi’s engineering capabilities give it exposure to this transition without requiring it to develop a consumer-facing AI application.
The company’s positioning also demonstrates why India’s AI opportunity extends beyond conventional IT services. AI is increasingly becoming part of industrial products, connected devices and specialised engineering systems.
Investors should monitor new programme wins, automotive technology spending and the company’s ability to convert AI-related engineering demand into consistent financial growth.
10. Larsen & Toubro
Larsen & Toubro provides one of the most different AI exposures on this list because its opportunity is connected to the physical infrastructure required to run AI.
The company’s AI infrastructure ambitions received a major boost in August 2026 when L&T announced a contract worth up to ₹15,000 crore from Together AI to develop an AI factory in India using NVIDIA technology. Reuters reported that the project could be worth up to $1.57 billion.
The development is significant because AI requires much more than software and processors. Large-scale AI systems need data centres, high-density computing, networking, power and cooling infrastructure.
L&T’s engineering capabilities therefore give investors exposure to a different layer of the AI ecosystem. Its AI infrastructure business could become increasingly important if India continues expanding domestic computing capacity.
At the same time, investors should remember that L&T remains a diversified engineering and infrastructure company. Its investment case should therefore be evaluated using the overall business, order book, execution and valuation rather than treating it as a pure AI stock.
Why AI Could Become a Major Indian Stock-Market Theme
The AI investment opportunity in India is developing across multiple layers. TCS, Infosys and HCLTech represent large-scale enterprise technology services. Persistent Systems and Coforge provide more focused digital-engineering and AI-led transformation exposure. Mphasis and LTIMindtree are developing platform and enterprise AI capabilities, while Tata Elxsi connects AI with specialised engineering and automotive applications.
L&T represents the physical infrastructure side of the theme.
This is important because the long-term AI opportunity is unlikely to be concentrated in a single type of company. Enterprises need AI models, but they also need data, cloud platforms, cybersecurity, software engineering, integration, computing infrastructure and power.
The recent performance of several companies suggests that AI is already becoming commercially meaningful rather than remaining purely a future technology theme. HCLTech’s Advanced AI revenue, TCS’s $2.6 billion annualised AI revenue and Coforge’s disclosure that 86% of revenue came from AI-led engineering, data and cloud services illustrate how rapidly the transition is entering mainstream enterprise technology.
Risks Investors Should Watch
AI stocks can carry high expectations, and a strong industry theme does not automatically make every stock attractive. Valuation is one of the most important factors investors need to consider.
The Indian IT sector also faces a structural change as AI improves employee productivity. Some traditional outsourcing work could become automated, potentially reducing volumes in certain services. At the same time, companies that successfully integrate AI may gain access to higher-value opportunities.
Infrastructure companies face different risks, including large capital requirements, project execution, power availability and customer concentration.
Investors should therefore examine revenue growth, margins, cash flows, order books, AI-related revenue, valuation and management execution rather than buying a stock solely because it has an AI narrative.
Final Takeaway
India’s AI investment opportunity is becoming much broader than the traditional technology sector. The country’s largest IT companies are building AI capabilities, digital-engineering firms are helping enterprises deploy AI, specialised technology companies are applying AI to industries such as automobiles, and infrastructure companies are beginning to build the physical systems required for large-scale AI computing.
TCS, Infosys, HCLTech, Persistent Systems, Coforge, Mphasis, Tech Mahindra, LTIMindtree, Tata Elxsi and L&T therefore provide exposure to different parts of this developing ecosystem.
For investors, the most important distinction is between AI exposure and AI-driven financial performance. A company mentioning AI in its strategy is not necessarily an AI beneficiary. The companies that can convert AI demand into sustainable revenue growth, stronger margins, recurring business and competitive advantages are likely to be the ones worth following most closely.
Onetrader Note: This article is for educational and informational purposes only. The stocks discussed are examples of Indian listed companies with exposure to AI-related technology, engineering or infrastructure. They should not be considered personal investment recommendations.
