NDTV CEO and Editor-in-Chief Rahul Kanwal announced a relaunch of the network featuring a new look and a strategic shift toward AI integration.

The move comes as traditional media outlets struggle with fragmented audience attention and the rapid rise of artificial intelligence. By pivoting its operational strategy, the network aims to maintain its relevance in a volatile digital economy while attempting to capture the interest of a younger demographic.

Kanwal detailed the plans during NDTV’s 38th [1] Annual General Meeting in 2026 [1]. The relaunch focuses on four primary pillars: AI innovation, credibility, relevance, and growth. The network intends to use these tools to navigate a media landscape where attention spans are shrinking and the delivery of news is increasingly decentralized.

Kanwal said that NDTV is one of India’s most trusted and recognised media brands. He said that the shift is designed to serve a "new India," suggesting that the previous model of news delivery no longer aligns with the current social and technological environment.

Integrating AI into the newsroom is a central component of the growth strategy. The network intends to use these technologies to enhance efficiency and content delivery without sacrificing the journalistic credibility that the brand has historically maintained.

Kanwal said that rebuilding the organisation for a “new India” is a tremendous opportunity and a “risk worth embracing.”

The relaunch includes a new visual identity intended to signal this transition to the public. While specific details on the technical implementation of the AI tools were not provided, the strategic shift indicates a move away from traditional broadcast-first models toward a more agile, tech-driven approach.

“NDTV is one of India’s most trusted and recognised media brands.”

The strategic pivot by NDTV reflects a broader trend among legacy media organizations attempting to survive the 'AI disruption.' By explicitly linking credibility with AI innovation, the network is attempting to hedge against the risk of AI-generated misinformation while leveraging the technology to reduce production costs and increase distribution speed in a competitive market.