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'Differentiator of LTIMindtree is AI Adoption, Rather than Another Shiny Toy'
LTIMindtree has decided to be transparent and said that there is no point in spending time and money on building AI products when so many have already been built. Ask an Indian IT company about how it uses AI, and you will learn nothing. This highlights why such companies remain service-driven
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Agentic AI is Now On Mid-Sized Indian IT's Mind
The biggest reason for not building in-house models for Indian IT firms is that generative AI is too expensive to experiment with. The era of agentic AI is upon us, and surprisingly, Indian IT is also ready for this revolution. What is even more surprising is the fact that mid-sized and small IT
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LTIMindtree, a major Indian IT company, is taking a unique approach to AI integration by focusing on adoption rather than in-house development. This strategy sets them apart from competitors and reflects a pragmatic view of the rapidly evolving AI landscape.

LTIMindtree, a prominent Indian IT company, has adopted a distinctive approach to artificial intelligence (AI) integration. Unlike its competitors, LTIMindtree is focusing on AI adoption rather than in-house development, a strategy that sets it apart in the rapidly evolving tech landscape
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.Nachiket Deshpande, COO at LTIMindtree, explained the company's philosophy, which stands on three pillars: AI in everything, everything for AI, and AI for everyone. This approach aims to seamlessly integrate AI solutions into users' existing workflows, rather than creating separate platforms
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.LTIMindtree's decision to focus on AI adoption rather than development is rooted in pragmatism. Deshpande highlighted several key reasons for this approach:
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.Instead of building in-house solutions, LTIMindtree is leveraging partnerships and strategic investments:
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.LTIMindtree is reimagining every service it offers with AI, moving from proof of concept to large-scale deployment. The company has already closed several AI-centric deals, including a $240 million contract in the manufacturing sector
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.Deshpande predicts that "every single dollar of revenue will have a generative AI component embedded in it"
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. However, he clarified that AI is not a separate revenue stream for IT services companies but rather a key component of their overall offerings1
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The focus on agentic AI is not unique to LTIMindtree. Other mid-sized Indian IT firms are also adopting similar strategies:
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.Larger players like TCS, Infosys, and Wipro are taking a different approach by developing in-house AI solutions and launching dedicated AI business units
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.The biggest challenge for Indian IT firms in building in-house AI models is the high cost of experimentation with generative AI
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. Mohandas Pai, founder of Aarin Capital and former CFO of Infosys, pointed out that creating large language models requires substantial capital, time, computing facilities, and market access, which many Indian companies lack2
.As the AI landscape continues to evolve, LTIMindtree's strategy of focusing on adoption and leveraging partnerships may prove to be a pragmatic approach in an industry where technological differentiation can be short-lived
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