Critical Juncture for AI-Native Transformation in Telecom: TM Forum Drives Action in June
2026-06-15 14:53
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en.Wedoany.com Reported - The telecom industry is at a critical juncture in its transition from traditional operators to AI-native operators. TM Forum CEO Nik Willetts pointed out that most operators are experiencing stagnant revenue growth and rising operational complexity, while the impact of numerous artificial intelligence pilot projects on the bottom line remains limited. At the same time, the intelligent, seamless experiences customers expect can only be achieved at scale through autonomous operations. Willetts emphasized that the gap between executors and observers is widening, and the core issue is no longer technology, but people, execution, and trust.

In his exchanges with global members—including communication service providers, hyperscalers, vendors, and system integrators—Willetts found that decision-makers have lost patience with theoretical discussions. One CTIO explicitly stated that budgets no longer support more experiments; what is needed are proven frameworks, real-world cases, and access to large-scale deployment teams. Another CTIO raised the need to see a complete path from autonomous network pilots to unmanned network operations centers, including business cases, skill gaps, and sustainable governance models. Willetts believes that collaboration is the only way to move forward quickly and safely.

TM Forum will host the DTW Ignite event in Copenhagen in June, expected to attract 5,000 industry leaders from 100 countries. The event aims to showcase effective solutions for large-scale deployment, supplemented by expert practical support, to drive the industry from conversation to action. Citing past cases, Willetts noted that China Mobile and Telefónica shared network operations experiences, while Verizon, BT Group, and Deutsche Telekom exchanged insights on composable IT architectures—collaborations that helped the entire industry compress trial-and-error cycles. He emphasized that in the AI-native era, speed depends on mutual learning and adopting proven frameworks, not on budget size.

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