Realtime AI News
GSMA Intelligence Releases Agentic Core White Paper, Defining New Paradigm for Intelligent Core Network Evolution
GSMA Intelligence has released the Agentic Core white paper, defining a new paradigm for the evolution of intelligent core networks. The document aims to guide the telecom industry towards AI-driven network architectures.
GSMA Intelligence, the research arm of GSMA, has published a white paper titled 'Agentic Core' that defines a new paradigm for the evolution of intelligent core networks. The paper focuses on integrating AI agents deeply into telecom core network architectures to achieve automation, intelligent decision-making, and resource optimization.
The white paper highlights that with the increasing complexity and data volume of 5G/6G networks, traditional static network management is no longer sufficient. The Agentic Core concept borrows from AI agent theory, enabling network components to autonomously sense, decide, and act. This allows dynamic adjustments based on real-time traffic, user behavior, and business demands.
Key technical features outlined include distributed intelligence, adaptive policy engines, cross-domain coordination, and security compliance mechanisms. GSMA Intelligence believes this architecture will significantly improve network efficiency, reduce operational costs, and enable new service innovations.
This publication marks an important step in the convergence of AI and networking. As an authoritative research body, GSMA's white papers often influence operators, vendors, and standardization bodies. The move signals a shift from NFV/SDN toward more advanced agent-based networking.
Several major operators are already piloting related technologies. The industry is closely watching whether this white paper will drive unified standards and how effectively it can be deployed in live networks. We can expect trial networks based on Agentic Core to emerge within the next 12 months.
Why it matters
This white paper provides a roadmap for the agentic core network evolution, likely accelerating AI adoption in telecom network management.
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