This week, as the Mobile World Congress begins in Barcelona, Spain, Google Cloud announced enhancements to its Cloud Spanner Graph and Vertex AI to help make agentic artificial intelligence (AI) a reality for telecom networks.
The Google Cloud announcement said telecom companies are advancing from using AI for insights to using the technology in intelligent agents capable of sensing, reasoning, and taking autonomous action.
During the past 12 months, Google Cloud has advanced its Cloud Spanner Graph and Vertex AI to handle high-speed, real-time response for alarm correlation, combined with deep, historical pattern detection, the Google Cloud release said.
The Google Cloud platform now supports:
- Network digital twins by capturing real-time performance and fault conditions while allowing agents to query historical states to perform instant, accurate root-cause analysis.
- Unified graph data layer by breaking down the silos between operational and analytical data.
- Realtime predictions with GNN: Operators can now train Graph Neural Networks (GNNs) in Vertex AI.
Google Cloud also announced new AI tools designed to remove bottlenecks, including:
- Releasing the company’s telco data pipeline and data models source code on GitHub, enabling telecom service providers to implement unified industry-standard ontologies without manual schema mapping.
- New telco agents in partnership with FutureConnections. The data steward agent is an agentic workflow designed to automate data governance. The autonomous network agents are designed to manage voice core and OSS networks.
“The agentic AI era is here,” the Google Cloud statement said. “By embedding AI into the fabric of a telco’s network, we’re helping operators transform from connectivity utilities into high-margin, intelligent service providers.”
Their comments agree with a recent report showing that AI use and adoption is growing in broadband and other industries. Protiviti reported that 68% of organizations will have integrated autonomous or semi-autonomous AI agents into their core operations by 2026. The company’s report said nearly one in four (23%) respondents reported in August 2025 that they were within six months of integrating AI agents that can operate semi-autonomously or with defined guardrails under human supervision.
