THE APEX TIMES
The telecom operator says it will use Ericsson’s open approach to run AI-native applications, or “rApps,” across its US infrastructure via Ericsson’s EIC platform, aiming to speed up network changes.
Verizon said it is adopting an Ericsson AI platform designed for network automation, describing the partnership as a way to bring more AI-native software into its US network operations. The announcement centers on deploying AI-native “rApps,” software applications that are built to work with AI and network systems, across Verizon’s infrastructure rather than relying only on traditional, manually configured automation pipelines.
Under the plan described in reporting, Verizon and Ericsson will use Ericsson’s EIC platform, which is positioned as the environment that lets operators run and manage rApps. The “EIC” designation refers to Ericsson’s Edge and Intelligent Cloud platform, intended to support deployment of software applications closer to where network traffic is handled, as well as to coordinate them across the network. Verizon’s participation would connect those rApps to Verizon’s operational needs for automation.
The companies frame the move as part of an “open” platform approach, which they indicate is meant to make it easier to introduce new AI-driven applications and evolve how automation is carried out over time. For Verizon, the practical objective is to reduce the time and complexity involved in rolling out network changes, especially in areas where automation can respond to network conditions more quickly than manual processes.
Verizon did not provide, in the announcement described in the report, specific details such as which network functions will be targeted first, what performance benchmarks will be used, or what timeline applies to early deployments. It also did not disclose whether the first rApps will be developed jointly, sourced from third parties, or brought in through Ericsson’s broader ecosystem.
The broader telecom market context is that operators are under pressure to improve network efficiency while also dealing with growing complexity from software-defined networks and edge computing. AI-driven automation is one of the areas where carriers are experimenting, because it can, in theory, support tasks like fault detection, optimization, and configuration management using models that adapt to changing traffic and conditions.
Ericsson has been positioning its platform strategy around enabling customers to deploy applications that can be updated without rebuilding the underlying network stack. Verizon’s decision to adopt that approach indicates an attempt to standardize how AI software is introduced across a large, multi-vendor network environment, even though the report does not specify whether Verizon plans to expand the effort beyond Ericsson-controlled components.
Still, key information remains unclear from the public reporting described here. Verizon and Ericsson have not, in this account, outlined expected cost savings, improvement targets, security or governance controls for AI applications, or any constraints related to data sharing and model governance. The absence of these specifics means observers cannot yet assess how quickly the partnership can translate into measurable operational gains.
Verizon’s next steps, as reported, will likely be the rollout and management of the first rApps through Ericsson’s EIC platform. What to watch will be whether Verizon names initial use cases, publishes performance results, and describes how the “open” platform approach affects application sourcing and integration across the operator’s network. Until then, the announcement functions primarily as a platform and deployment direction rather than a quantified operating change.
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