Circles Lifts ARPU 22% and Cuts Churn 9% With OpenAI API and Codex

Telecom operator Circles has raised its average revenue per user (ARPU) by 22% and cut customer churn by 9% after moving its services to an AI-native platform built on the OpenAI API and Codex, according to the official OpenAI blog.

What the AI-native platform delivered

Circles has built its telecom services as AI-native from the start. Rather than bolting artificial intelligence onto legacy infrastructure, the company uses OpenAI models as the foundation of its product. A traditional operator adds AI as an extra layer on top of its network and tariff plans. Circles makes the intelligent system the core and treats the network as the infrastructure underneath it.

Two OpenAI tools make this work. The OpenAI API handles personalization: the system analyzes subscriber behavior and offers a suitable plan or service at the right moment. Codex, OpenAI's tool for automated code writing, speeds up the development team by cutting the time spent on routine tasks and letting engineers focus on harder problems.

According to the OpenAI Blog, the results of the rollout show up in three metrics:

• ARPU (average revenue per user) rose 22%
• Customer churn fell 9%
• Development efficiency improved: the team ships new features faster

"Circles uses the

OpenAI API and Codex to build AI-native telecom services, increasing ARPU by 22%, reducing churn by 9% and improving development efficiency," the official OpenAI blog says.

Why these numbers matter for telecom

Telecom operators worldwide face the same problem: voice and mobile data have become standardized commodities, and competition is mostly on price. Retaining subscribers requires constant spending, and acquiring a new customer costs far more than keeping an existing one.

A 9% drop in churn means that of every 100 subscribers ready to leave for a competitor, 9 stayed, directly thanks to AI-driven personalized offers. The 22% ARPU increase shows the other side: when an algorithm offers the right package at the right time, customers pay more. They do so not under pressure from a salesperson, but because the offer matches a real need.

Faster development with Codex adds a third competitive advantage: the operator brings new features to market sooner and doesn't lose speed to routine boilerplate code. That lets Circles iterate faster than traditional competitors.

Taken together, higher revenue, lower churn and faster development mean Circles is improving every key driver of competitiveness at once. According to the OpenAI Blog, the AI-native architecture lets the company achieve this without trading off speed against service quality.

What this means

The Circles case study, published by OpenAI, supports the claim that an AI-native approach in telecom is not a marketing concept but a strategy with measurable business results. Three key metrics (ARPU +22%, churn −9%, faster development) improved at the same time thanks to the OpenAI API and Codex. For competitors, it's a signal: falling behind on AI adoption affects not just technological image but also revenue and customer retention.

Frequently asked questions

Which OpenAI tools does Circles use?

According to the official OpenAI blog, Circles uses two tools: the OpenAI API for personalizing telecom services and Codex for speeding up code writing and review within the development team.

What results has Circles achieved since adopting AI?

According to the OpenAI Blog, Circles recorded three measurable improvements: ARPU rose 22%, customer churn fell 9%, and development efficiency increased significantly.