Indian IT services company LTIMindtree (LTIMindtree) expects revenue from artificial intelligence to grow faster than its traditional services business as more enterprises adopt large language models from companies such as Anthropic and OpenAI.
The company’s CEO, Venu Lambu, told Reuters that businesses will continue relying on IT service providers to deploy and manage advanced AI systems rather than implementing them on their own. His comments came as LTIMindtree announced a partnership with Anthropic to help enterprise clients deploy the Claude AI model.
The announcement arrives as India’s IT sector faces growing investor concerns that increasingly capable AI models could reduce demand for traditional outsourcing services. Those concerns have contributed to a decline of more than 23% in the Nifty IT Index this year.
AI now contributes 12% of LTIMindtree’s revenue
LTIMindtree also disclosed its AI revenue for the first time, reporting an annualized quarterly run rate of $150 million, representing about 12% of total revenue.
The figure comes from three AI-native business segments where artificial intelligence is built into products from the start. The company said it does not include enterprise AI projects, where AI is added to customers’ existing technology systems, in that revenue category.
Lambu added that nearly every new client engagement now contains an AI component, although he noted that businesses do not always need the most advanced or expensive AI models. Instead, companies often begin with smaller deployments before expanding successful projects across other parts of the business.
Will AI make IT services more valuable instead?
Much of the debate around AI has focused on whether it will replace IT service providers. LTIMindtree is arguing for a different outcome, one where better AI models create more implementation work instead of eliminating it.
That view has gained support from recent partnerships across the industry. Companies including Accenture, Deloitte, PwC, and Capgemini have expanded alliances with OpenAI, Anthropic, Google, and Microsoft over the past two years. Rather than competing with foundation model developers, they are positioning themselves as the companies that customize, govern, secure, and integrate those models for enterprise customers.
For businesses, connecting it to internal systems, controlling token costs, and meeting security and compliance requirements still requires specialized expertise. That gap may prove more valuable than the models themselves as enterprise AI adoption expands.
Meanwhile, India imposed a nationwide block on Telegram following an order from the Ministry of Electronics and Information Technology (MeitY) under Section 69A of the IT Act. The restriction remained in place until June 22, 2026, after the National Testing Agency (NTA) requested intervention to curb exam-related fraud.
Enjoyed this? Bookmark DeFi Planet, explore related topics, and follow us on Twitter, LinkedIn, Facebook, Instagram, Threads and CoinMarketCap Community for seamless access to high-quality industry insights.
Take control of your crypto portfolio with DEFI PLANET PRO, DeFi Planet’s suite of analytics tools.
