3 fastest growing AI stocks to add to your watchlist

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AI has emerged as one of the most talked-about themes recently.

Companies engaged in Artificial Intelligence (AI) fall into several key categories. We have companies with machine learning platforms developing ML algorithms and platforms for data analysis, predictive modelling, and automation. Firms also specialise in conversational AI, chatbots, language translation, sentiment analysis etc. 

There are also many companies in robotics and automation and those that are developing Industry-Specific AI Solutions.

Here are 3 Indian companies that are developing, using or implementing AI at a brisk pace.

#1 Tata Consultancy Services (TCS)

First on our list is Tata Consultancy Services.  

TCS is a front-runner in AI adoption and innovation in India. The company is leveraging partnerships with global tech leaders and investing heavily in AI talent, platforms, and industrial-scale AI solutions to empower clients’ digital transformation across multiple sectors.

TCS has helped design a collection of AI-native agents for the telecommunications industry leveraging its long-standing collaboration with NVIDIA. 

TCS is working with NVIDIA to design agentic AI solutions that improve telecom operations and network management.

 These include AI-accelerated NVIDIA tools to automate processes, including specialised AI models tailored for telecom needs (large telco models or LTMs), and advanced systems like digital twins to simulate and optimise network performance. 

India’s largest IT services firm is also extensively involved in AI-driven digital transformation offerings, including AI platforms, language models, and partnerships. 

TCS Financial Snapshot (FY21-25)

(Rs m, consolidated) FY21 FY22 FY 23 FY 24 FY 25
Net Sales 1,641,770 1,917,540 2,254,580 2,408,930 2,553,240
Net Profit 325,620 384,490 423,030 460,990 487,970
Return on Equity (%) 37.7 43.1 46.8 50.9 51.5
Return on Capital Employed (%) 51.4 58.9 63.8 69.4 69.8
Source: Equitymaster

On the financial front, the company’s revenue stood at Rs 634.37 billion (bn) in Q1 2026, reflecting a 1.3% growth. Tata Consultancy Services reported its Q1 FY26 results with a net profit of Rs 127.60 bn, up 6% year-on-year.

The company has done well over the last few years with compounded revenue growth of 10% over the last few years. Net profits have grown at a CAGR of 8.3% over the last 3-years. 

#2 Infosys

Second on our list is Infosys

Infosys is aggressively leveraging AI and generative AI (GenAI) to transform enterprise solutions and enhance digital experiences across industry sectors.

The company has successfully delivered over 400 generative AI projects by bringing Infosys Topaz, its generative and agentic AI-powered services and solutions. 

Infosys Topaz, the company’s proprietary generative and agentic AI platform, is central to delivering immersive, personalised, and interactive experiences. 

For example, Infosys partnered with the French Tennis Federation to create AI-powered fan engagement features for Roland-Garros 2025, applying AI to sports analytics and content.

The company focuses on industry-specific AI blueprints to address challenges in banking, IT operations, cybersecurity, and broad enterprise use. 

Infosys Financial Snapshot (FY21-25)

(Rs m, consolidated) FY21 FY22 FY 23 FY 24 FY 25
Net Sales  1,004,720 1,216,410 1,467,670 1,536,700 1,629,900
Net Profit  194,230 221,460 241,080 262,480 267,500
Return on Equity (%) 25.6 29.6 32.3 30.1 28.2
Return on Capital Employed (%) 35.3 40.6 45.1 41.8 40.1

The company has done well over the last few years with compounded revenue growth of 10.2% over the last few years. Net profits have grown at a CAGR of 6.5% over the last 3-years. 

#3 HCL Technologies (HCL Tech)

Third on our list is HCL Tech.

The company is making rapid strides as far as AI adoption is concerned. HCL Tech has announced a multi-year strategic collaboration with OpenAI, to drive large-scale enterprise AI transformation. The company is one of the first strategic services partners to OpenAI.

This collaboration will enable HCL Tech’s clients to leverage OpenAI’s industry-leading AI products portfolio alongside HCL Tech’s foundational and applied AI offerings for rapid and scaled GenAI deployment.

Additionally, HCL Tech will embed OpenAI’s industry-leading models and solutions across its industry-focused offerings, capabilities and proprietary platforms, including AI Force, AI Foundry and AI Engineering. 

Together with Dell, HCL Tech has launched various AI-driven solutions, including Hybrid Cloud-as-a-Service and private GenAI deployments 

Recently, the collaboration enabled a comprehensive AI-led transformation of port operations for one of the world’s largest marine terminal operators, enabling improved efficiency, safety and decision-making at scale.

HCL Tech Financial Snapshot (FY20-24)

(Rs m, consolidated) FY20 FY21 FY 22 FY 23 FY 24
Net Sales  706,760 753,790 856,510 1,014,560 1,099,130
Net Profit  110,570 111,690 135,230 148,450 157,100
Return on Equity (%) 21.6 18.6 21.9 22.8 23.2
Return on Capital Employed (%) 26.8 25.7 26.3 29.6 30.8

On the financial front, HCL Tech reported revenue of Rs 303.5 bn for Q1 2026, up 8.2% year-on-year (YoY). Net profit was placed at 38.43 bn, down about 9.7% YoY. 

The company has done well over the last few years with compounded revenue growth of 13.4% over the last few years. Net profits have grown at a CAGR of 12% over the last 3-years. 

Conclusion

Enterprise demand for AI technology is surging across sectors, fuelled by investments in generative AI, broad adoption beyond pilots, expanded budgets, and a shift to AI-embedded business models. 

Technologies combining AI with cloud platforms, domain specialisation, and operational automation are key drivers of this growth. 

All of this is likely to benefit companies that are swiftly adopting to changes. 

To know what’s moving the Indian stock markets today, check out the most recent share market updates here.

Disclaimer

Investors should evaluate the company’s fundamentals, corporate governance, and valuations of the stock as key factors when conducting due diligence before making investment decisions.

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