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lock-in, a senior executive said.US-based Red Hat, a subsidiary of IBM, is known for its commercial Linux distribution, Red Hat Enterprise Linux, along with software platforms covering hybrid cloud management, containers and AI. It employs more than 2,000 people in India.Red Hat's technologies are embedded across several of India's critical digital systems. Its customers include the National Stock Exchange, BSE, Unique Identification Authority of India, Bharti Airtel, Jio Platforms, Tata Motors, IndiGo, State Bank of India, Indian Bank, Bank of India and Unity Small Finance Bank."Customers are no longer talking only about data sovereignty," Red Hat India and South Asia vice-president Navtez Bal told ET. "They're asking who controls the infrastructure, who controls the models, who controls inferencing and whether they have the ability to shift workloads if circumstances change."Indian enterprises are moving beyond generative AI experimentation and beginning to prepare production-grade deployments across banking, telecommunications, manufacturing and government sectors.Bal said India has evolved from being an early adopter of Red Hat Enterprise Linux to becoming one of the company's most strategically important markets over its 25-year presence in the country.The company also works closely with government-led digital infrastructure initiatives and said it is playing a role in enabling AI deployments through the broader IndiaAI ecosystem.Many enterprises are beginning to realise that their technology stacks remain heavily dependent on a small number of providers, Bal said."Most customers are suddenly figuring out that their tech stack is not really sovereign-ready," he said, adding that geopolitical uncertainty is prompting organisations to seek greater flexibility across cloud providers, AI models and infrastructure platforms.Rather than a shift away from hyperscale cloud providers, Bal expects enterprises to adopt hybrid and multi-cloud architectures that provide optionality and control.He expects India's AI infrastructure market to evolve around three major categories: domestic AI cloud providers offering sovereign infrastructure, global hyperscalers providing frontier AI models, and large enterprises building dedicated AI compute environments for their own workloads.Telecom operators, which are increasingly building cloud and edge infrastructure, represent a significant opportunity for Red Hat's OpenShift platform and container-management technologies, he said.Banking and financial services, telecommunications and the public sector are likely to remain Red Hat's fastest-growing segments over the next two years, he said.While enterprises have made progress in AI experimentation, Bal believes the bigger challenge lies ahead."The next phase is not a technology problem," he said. "Organisations need to think about data movement, controls and how AI gets embedded into business processes."Open-source software would become increasingly important to India's AI ambitions because it reduces dependence on proprietary platforms and provides greater flexibility over infrastructure choices, he said.As India prepares to implement its new data protection framework next year, and scales investments in AI infrastructure, Bal said enterprises should be asking whether they can move applications across cloud providers, switch AI models when necessary and maintain visibility over where their data resides."These questions become critical in a post-sovereignty world," he said.