How AI is Transforming India's Tech, Media, and Telecom Industries

Around 55% of organisations in India's Technology, Media, and Telecommunications (TMT) sector have fully integrated artificial intelligence (AI) into their operations, with another 37% in the scaling phase, according to a recent study titled “Redefining TMT with AI.”

The study explores the rapid transformation within the TMT sectors, highlighting how AI is revolutionising operations by boosting efficiency, personalising user experiences, and enhancing decision-making processes.

AI innovations have already made a significant impact, including a 5-10% reduction in operational costs and over 10% returns on AI investments for 67% of the respondents. From automating networks in telecom to delivering personalised media content, AI is streamlining processes and unlocking new growth opportunities.

The study, based on a survey of key industry leaders such as chief digital officers (CDOs), chief technology officers (CTOs), and chief information officers (CIOs), reveals that 13% of organisations are still in the initial stages of AI adoption, referred to as 'AI Explorers.'

Furthermore, 55% of respondents expect that 30-50% of their product or solution portfolios will be AI-driven, contributing to 10-30% of incremental revenue.

The study also highlights the potential of generative AI, with 65% of Indian executives agreeing that it offers a significant competitive advantage, showcasing its strategic importance in the TMT industry.

AI is also enhancing customer service for 52% of organisations by improving network performance and service delivery. Additionally, 67% of companies have already seen returns exceeding 10% from their AI implementations, reinforcing the benefits of widespread AI adoption.

The finance and HR sectors are also leveraging AI, with 40% of organisations utilising it to enhance predictability in operations and decision-making.

Telecom leaders are increasingly adopting AI, with 30% of efforts focused on improving service quality. AI is also driving growth in areas such as revenue (26%), fraud prevention (32%), and improved customer experiences (12%).

However, there are challenges to AI implementation. About 26% of respondents identified a lack of skilled workforce and awareness as significant barriers, while 27% pointed to high costs, along with issues such as data accuracy, IT security, and privacy concerns.

In terms of workforce readiness, 33% of survey participants believe that 30-50% of their workforce will be AI-ready by FY26, emphasising the growing focus on reskilling and upskilling initiatives.

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