The rapid convergence of artificial intelligence and infrastructure has driven the evolution beyond merely applying AI to existing systems. The future lies in AI-native architectures, where intelligence is structurally embedded from the ground up, not retrofitted as an overlay. At the core of this transformation are AI-native networks, which redefine how telecommunications and digital infrastructure are designed, operated, and scaled.
This workshop brought together industry leaders, telecom operators, AI infrastructure developers, vendors, and academic researchers to advance the AI-native future. The workshop is organized as four serial sessions. The opening session (09:00–10:30) focused on the fundamental technologies underpinning AI-native architectures, with particular emphasis on AI-native network design, compute-communication integration, and green computing models. The workshop continued with a dedicated session (10:30–12:00) on AI-native networks as the backbone of intelligent telecommunications, a session (14:00–15:30) on the enterprise deployment of AI agents and their bidirectional relationship with network infrastructure, and a session (15:30–17:00) on the token economy as the value circulation layer of the AI ecosystem. Drawing upon the active work items of FG-AINN, the workshop aimed to bridge international research with practical implementation pathways for AI-native networks and the broader intelligent infrastructure they enable.
The objectives of this workshop were to:
- Showcase the latest technical progress across FG-AINN Working Groups, focusing on fundamental technologies for AI-native architectures, with emphasis on AI-native network design and deployment.
- Examine the architectural frameworks and deep integration models for AI-native networks as the backbone of intelligent telecommunications.
- Bridge international research with practical implementation pathways for AI-native networks and the broader intelligent infrastructure they enable.
- Create an open platform for individual experts, independent researchers, and institutional members to share technical insights, identify standardization gaps, and establish future operational pathways for AI-native infrastructure.
- Explore the enterprise deployment of AI agents, including multi-agent collaboration and interoperability, and the bidirectional relationship between AI agents and AI-native networks.
- Examine the token economy as the value circulation layer of the AI ecosystem, exploring its industrial-chain dynamics across the compute, model, and application layers and its implications for AI-native network evolution.
Target Audience
This workshop was highly relevant for telecommunication network architects, AI infrastructure engineers, wireless systems researchers, and anyone working on the fundamental technologies of AI-native architectures. The workshop was also be of particular interest to enterprise AI architects, digital economy policy makers, and researchers working on agentic AI systems and the AI token economy. Participation in both the workshop and the Focus Group meeting was open to all interested parties and free of charge.
Watch the recording of the session here
