Observed Signal · Oct 15, 2026 · Conference · Source: PR Newswire: Advertising & Marketing · Impact: 2/5 · Sentiment: Positive
Huawei President Urges Network Rebuild for AI Era
At the Network X 2026 conference in Vienna, Bob Chen, President of Huawei's Optical Business Product Line, delivered a keynote at the WBBA's Broadband Development Congress, advocating for a network transformation to meet AI era demands. He proposed three 'R's: Rebuilding network architecture around AI Data Centers (AIDCs) instead of administrative regions, with latency guarantees of 1-5-20 ms; Rethinking business models to offer 'bandwidth + latency + reliability' and integrated network-compute-model services, expanding home broadband from connectivity to whole-home intelligence; and Redefining network operations through full-lifecycle AI, including intelligent Wi-Fi tuning and energy-saving mechanisms. Chen highlighted that AI large models now have nearly 10 trillion parameters and token consumption has increased almost 50x in the past year, necessitating these shifts. AI-driven tuning can boost speeds by ~20% and reduce device energy by over 20%.
The article discusses strategic directions for network infrastructure to support AI, relevant to telecom operators and the broader digital ecosystem, but not directly tied to advertising or marketing technology.
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Key Takeaways & Evidence Grounding
- Huawei's Bob Chen spoke at the Broadband Development Congress during Network X 2026 in Vienna.
- Chen proposed three 'R's: Rebuilding network architecture, Rethinking business models, and Redefining network O&M for the AI era.
- AI large models now have nearly 10 trillion parameters and token consumption has increased almost 50x in the past year.
- Network architecture must shift from administrative region-centric to AIDC-centric design with 1-5-20 ms latency circles.
- AI-driven Wi-Fi tuning can increase speeds by ~20% and smart energy-saving can reduce device energy consumption by over 20%.
Connected Companies & Entities
1 Entity mapped“Bob Chen, president of the optical product line of Huawei, gave a keynote speech at the Broadband Development Congress.”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Building AI-Native Core for Next-Gen Agentic Services
Huawei outlines a vision for an AI-native core network architecture designed to support next-generation AI-agent services. The company predicts that by 2035, there could be 900 billion AI agents worldwide, necessitating a shift from bit-oriented to token-oriented traffic handling. Huawei identifies three typical service quality scenarios: AoNR for low-latency task execution, Wide-Area Computing Network (WCN) for improved computing efficiency, and Agent Computing Network (ACN) for secure collaboration among AI agents. The new core network should feature intent-based interfaces, a dedicated Data & AI Plane (DAP) alongside traditional control and user planes, and deep integration of AI decision-making into network procedures. Huawei outlines two evolution phases: first, adding AI capabilities as overlays, and second, creating a fully AI-native core network capable of enhanced connectivity and beyond connectivity services, requiring ecosystem collaboration across devices, chips, and networks.
Huawei unveils Next Gen OTN for AIDC-centric optical networks
At NetworkX 2026, Huawei proposed a Next Generation Optical Transport Network (OTN) for building an AI Data Center (AIDC)-centric all-optical network, presenting its LIGHTS vision. The solution supports both Data Center Interconnect (DCI) and Data Center Access (DCA) scenarios, offering 800G to 2T capacity, an OTN capacity pool, E2E OXC, millisecond-level WSON, fgOTN for flexible bandwidth, and integrated QKD for quantum encryption. Huawei outlined three waves of AI-driven opportunities for telecom operators: data center interconnection for hyperscalers, private lines for enterprise computing power, and integrated computing and network services. The 'LIGHTS' target network encompasses six capabilities: Low Latency, Intelligent Operation, Green Foundation, High Reliability, Tbps-level Capacity, and Security Assurance. This enables operators, as exemplified in Hubei, China, to evolve from bandwidth-only sales to value-added services, potentially improving pricing power and enabling differentiated offerings across industries.
Huawei NG WAN Solution Enters Large-Scale Commercial Use
At the UBBF 2026 conference, Huawei announced that its Next-Generation Wide Area Network (NG WAN) solution has entered large-scale commercial deployment, driving carrier growth in the AI era. The solution offers multi-layered security, lossless computing efficiency, and network autonomy, helping over 60 carriers worldwide enhance their infrastructure. Key features include the RDR security solution with over 95% threat detection, a 40% improvement in encryption performance, and a 60% reduction in network expansion costs. The solution also improves AI training performance by over 7% and achieves 96% remote computing efficiency. Huawei's autonomous network architecture reaches AN L4 in four scenarios, and a South African carrier was the first to achieve this level in an IP network. The solution enables carriers to monetize new services and accelerate growth.
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