Agentic AI as the Orchestrator of Mobile Ecosystems: A Review of the Trade-off Between Performance and Drawbacks

Abstract

This system review explores the transformational role of agentic artificial intelligence (AI) as an orchestrator in mobile ecosystems. Agentic AI systems proactively plan, execute, and adapt across applications, devices, and services, unlike traditional and generative AI. These systems offer autonomous, context-aware coordination by integrating reasoning engines, tool orchestration, memory, retrieval-augmented generation (RAG), and safety layers. The review examines architectural requirements for mobile deployment, including on-device processing, resource-aware execution, and cross-platform synchronization. It stresses implementation targets and achievements through 2025, automation levels across key capabilities, and the impact of agentic orchestration on mobile ecosystem challenges. The findings highlight agentic AI’s potential to optimize performance, privacy, and user experience simultaneously. Future directions include edge-native architectures, human-in-the-loop frameworks, and multi-agent interoperability standards. This study provides a comprehensive roadmap for advancing agentic AI as a foundational layer in next-generation mobile computing.