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Circles on Why Telecom Must Go AI-Native, Not AI-Add-On

Circles on Why Telecom Must Go AI-Native, Not AI-Add-On

Insights

  • AI-native transformation requires embedding AI into the core enterprise architecture rather than layering it onto legacy systems.
  • Successful transformation depends on evolving people, technology, and operating models together to unlock enterprise-wide value.
  • AI-native platforms can improve customer satisfaction, increase revenue, and significantly reduce total cost of ownership.

At MWC 2026, Sanjay Kaul of Circles discusses why telecom operators must take a foundational approach to AI transformation rather than treating AI as an add-on to existing systems. He explains that becoming an AI-native organization requires rethinking every layer of the enterprise, from workforce capabilities and technology architecture to operating models and governance. The conversation explores how this holistic approach enables operators to improve customer experience, increase average revenue per user, and deliver substantial reductions in total cost of ownership. Looking ahead, Kaul argues that telecom providers that redesign their businesses around AI-native architectures will be better positioned to compete, innovate, and create long-term value.

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