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Former Tech Mahindra CEO: AI Will Transform Business Processes

Former Tech Mahindra CEO C.P. Gurnani stated in a Bloomberg interview that artificial intelligence will create a fundamental transformation in traditional IT workflows. He analyzed how Indian IT companies can benefit from the AI revolution despite short-term disruptions.

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Former Tech Mahindra CEO: AI Will Transform Business Processes

Artificial Intelligence Fundamentally Changing How the IT Sector Operates

C.P. Gurnani, former CEO of Tech Mahindra, one of India's leading IT services companies, explained that artificial intelligence (AI) technologies will irreversibly transform traditional information technology business processes and workflows. In an interview with Bloomberg, Gurnani, one of the pioneering figures in the sector, emphasized that AI is not merely an efficiency tool but a strategic lever that redefines operational paradigms.

Gurnani's statements are of great importance, especially for a country like India, which plays a critical role in the global IT outsourcing market. It is predicted that the traditional business models established by Indian IT companies over decades will have to evolve with the proliferation of AI subfields such as machine learning, natural language processing, and robotic process automation.

Short-Term Disruptions, Long-Term Opportunities

The former CEO acknowledged that companies might experience short-term disruptions and adaptation challenges during the AI integration process but stressed that this is a temporary situation. He stated that the real focus should be on the long-term opportunities revealed by this technological revolution. According to Gurnani, investments in AI offer the opportunity to channel human resources toward more creative, strategic, and complex problem-solving tasks, thanks to the automation of routine and repetitive duties.

This transformation will manifest itself in nearly every layer of IT services, from customer service management to the software development lifecycle, and from cybersecurity to data analytics. For example, AI-assisted coding assistants will increase developers' productivity, while predictive analytics tools will be able to detect infrastructure issues before they even arise.

Critical Adaptation Process for the Indian IT Ecosystem

Gurnani's analysis represents an urgent call for transformation for Indian IT companies. To maintain their competitive edge against global rivals, they must accelerate their adaptation to AI-driven business models. This requires not only technological infrastructure investments but also a fundamental shift in workforce skills and organizational culture. The companies that can most effectively integrate AI into their core service offerings will gain a significant advantage in the new era of digital transformation.

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