How agentic AI is helping telecom operators increase ARPU

Telecom operators are entering a new phase of AI adoption, one that moves beyond analytics dashboards and recommendation engines into systems that execute autonomously and generate revenue directly. The term for this shift is agentic AI, and it is already changing how operators approach subscriber data monetization.

Gartner projects that 40% of interactions with generative AI services will use action models and autonomous agents for task completion by 2028. IBM’s 2026 outlook for technology leaders (https://www.ibm.com/think/insights/2026-resolutions-for-ai-and-technology-leaders) identifies this as the defining inflection point for enterprise AI: the move from AI that assists human workflows to AI that orchestrates and executes them end to end.

For telecom operators, agentic AI represents a direct path to new revenue from existing infrastructure.

Mobile operators hold some of the richest behavioral data available in the digital economy: real-time subscriber activity, usage patterns, device signals, and location context across millions of users. Agentic AI monetizes this data by automating the full campaign execution cycle. The system identifies the highest-value commercial offer for each individual subscriber, selects the optimal delivery channel across SMS, RCS, or IVR, times the interaction to peak receptivity, and continuously refines performance without manual intervention.

This is the model behind afina’s data monetization platform for telecom operators. afina functions as an agentic AI layer on top of existing telecom infrastructure, enabling operators to launch subscriber data monetization programs without rebuilding their tech stack. Operators using afina report ARPU increases of up to 5% within the first months of deployment, with campaigns running across the operator’s own communication channels and full privacy compliance maintained throughout.

As AI adoption in telecom accelerates through 2026, the operators generating measurable returns are those moving from AI-assisted analysis to AI-driven execution. For telecom leaders evaluating where agentic AI can create direct revenue impact, subscriber data monetization is the highest-readiness starting point: the data exists, the channels exist, and the execution layer is what afina provides.