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First laying off 3300 employees, now HCLTech will invest ₹3500 crore in AI data center

July 14, 2026 by Uma Shankar

AI shows no signs of slowing down, with companies like OpenAI and Anthropic trying to get more compute through data centers to run AI models. Now, HCLTech, one of the IT companies, has announced that it is entering the AI ​​data center business with plans to invest up to Rs 3500 crore. Also, the company said that it has reduced about 3300 jobs (layoffs) in the last three months.

The CEO of HCLTech said that the workload of government and enterprises is continuously increasing, hence there is a need for sovereign data. A big IT company recently AI It has also invested $150 million (about Rs 1438 crore) in startup Sarvam AI. HCLTech has also partnered with OpenAI to use ChatGPT Enterprise internally. This step has been taken in the same quarter in which HCLTech had reduced the number of employees by 3292, taking its total employee strength to 223,889 as of June 30, which was 227,181 at the end of March.

AI changed the economics of computing

Vijayakumar said that HCLTech was already in talks with potential clients and was close to finalizing a deal with a customer. He said that MWs were just a support and the greater value lies in providing full-stack AI services including data centers, GPUs, models and applications. CEO of HCLTech said, AI has completely changed the economics of computing. For us, the data center is the foundation for delivering full-stack AI solutions, from GPUs and models to enterprise applications. This opens a new path of growth for HCLTech.

The Indian IT sector has faced uncertainty due to the rise of AI tools, while critics believe that this may mark the end for IT services. Companies like HCLTech and TCS are investing in AI because they see it as a new path for growth.

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About Uma Shankar

Uma Shankar writes about finance, business, and investment topics. He simplifies complex subjects like stock market, banking, tax, and cryptocurrency to help readers make informed financial decisions. Data-driven reporting is his strength.

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