The AI-Native Telco: Capturing Revenue Opportunities in the AI Value Chain
•February 13, 2026
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Why It Matters
AI workloads are reshaping network demand, and telcos that monetize AI‑specific services will capture a fast‑growing revenue stream while avoiding marginalization by hyperscalers.
Key Takeaways
- •AI workloads shift traffic from asymmetrical to symmetrical patterns.
- •Operators can monetize AI-specific SLAs for guaranteed bandwidth.
- •Telcos must evolve beyond “big pipe” to AI value‑chain partners.
- •Investing in data‑center interconnect and edge compute is essential.
- •Cross‑domain AI integration can break silos, but requires unified platforms.
Summary
The panel titled “The AI‑native telco: Capturing revenue opportunities in the AI value chain” examined how telecom operators are being forced to reinvent themselves as AI‑centric infrastructure providers. Speakers highlighted that AI training and inference workloads are turning traditionally north‑south traffic into massive east‑west flows, demanding symmetric capacity, low latency, and deterministic performance across data‑center interconnects and edge sites.
Key insights included the emergence of AI‑specific service‑level agreements (SLAs) that can be sold as premium products, the need for substantial investment in high‑capacity DCI and edge compute, and the strategic importance of “stickiness” – bundling connectivity with AI platform services, data‑management, and risk‑scoring applications. Analysts warned that without moving beyond the classic “big pipe” model, telcos risk being disintermediated by hyperscalers.
Notable examples cited were Orange’s rollout of AI platforms for enterprises, Verizon’s RAM controller for energy optimization, AT&T’s network digital twin for proactive fault detection, and HPE’s vision of offering GPU‑as‑a‑service. Adora emphasized turning SLA guarantees into marketable products, while Francis stressed that past inflection points failed when investment lagged behind use‑case demand.
The implication for operators is clear: to capture AI‑related revenue, they must invest in symmetric, low‑latency infrastructure, develop AI‑focused service portfolios, and embed themselves in the broader AI value chain rather than remaining pure connectivity providers. Those that succeed will secure new, recurring revenue streams and become indispensable partners for enterprises deploying AI at scale.
Original Description
AI adoption is accelerating across industries, with the generative AI market projected to reach $467bn by 2030. This creates a significant opportunity for service providers to move beyond basic connectivity and monetise their value as strategic AI enablers for business and residential customers.
In this webinar, Steve Daigle, head of systems engineers, Worldwide Service Provider at HPE Networking, Inc, Adaora Okeleke, principal analyst at Analysys Mason and Francis Haysom, principal analyst at Appledore Research, joined TelecomTV’s Guy Daniels to explore how AI strategies are enabling network service providers to:
Simplify operations and enhance service delivery with AI-native automation that reduces costs while improving customer experiences.
Build AI-ready infrastructure to support edge inference services, ultra-high performance datacentre interconnects and distributed AI workloads.
Launch new revenue streams through sovereign AI clouds and AI-as-a-service offerings that differentiate beyond commodity connectivity.
Join us to discover how embracing AI-native strategies can accelerate your network transformation, unlock high-margin revenue opportunities and position your organisation as an AI-native telco in the rapidly evolving digital economy.
Featuring:
Adaora Okeleke, Principal Analyst, Analysys Mason
Francis Haysom, Principal Analyst, Appledore Research
Steve Daigle, Global Head of Telco Systems Engineers, HPE
#telecomtv #hpe #ai #appledoreresearch #ainative #analysysmason
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