Operators Tackle AI Revenue Challenge

Why It Matters

The discussion signals a turning point where telecom operators must translate AI pilots into scalable, profit‑driving services, reshaping competitive dynamics in the sector.

Key Takeaways

• BT International uses unified data platform to create AI‑driven insights.
• API‑first approach cuts infrastructure costs and invites partner scaling.
• Orange Business recommends hyperscaler‑style, software‑centric AI platform design.
• Rakuten Symphony stresses monetisation over pure technical showcase.
• Customer‑focused AI services become critical for telecom revenue growth.

Pulse Analysis

Telecom operators are confronting a familiar dilemma: impressive AI prototypes that never cross the revenue threshold. BT International’s strategy illustrates how consolidating commercial, network performance and service data into a single, API‑first architecture can generate actionable insights while reducing the need for costly, bespoke infrastructure. By treating data as a product, operators can quickly spin up AI‑powered services and invite ecosystem partners to scale solutions that would otherwise be prohibitive to build in‑house.

A recurring theme from the panel was the need to emulate hyperscalers’ playbook. Orange Business highlighted that traditional telco cloud efforts often reinvented the wheel, missing efficiencies that large‑scale software platforms deliver. A software‑centric, modular AI platform—designed with clear APIs from day one—enables rapid iteration, lower capital expenditure, and smoother integration with third‑party services. This approach not only accelerates time‑to‑market but also positions operators as enablers rather than sole providers, fostering a collaborative revenue model.

Ultimately, monetisation hinges on aligning AI capabilities with genuine customer demand. Rakuten Symphony cautioned against marketing technology for its own sake, pointing to smart appliances that dazzled technically but failed commercially. Operators must therefore translate AI features into tangible business outcomes—such as predictive network maintenance, personalized consumer offers, or new B2B analytics services. By focusing on problem‑solving use cases and clear value propositions, telcos can turn AI from a buzzword into a sustainable profit engine.