{"success":true,"data":{"pressRelease":{"id":"169697","rtpr_id":"nPreSl0lMa-20261015","ticker":"HWT","exchange":"","all_tickers":["HWT"],"title":"Building the AI-Native Core for Next-Generation Agentic Services","author":"PR Newswire","published_at":"2026-10-15T04:31:19.071Z","article_body":"Building the AI-Native Core for Next-Generation Agentic Services\nPR Newswire\n\nBEIJING, Oct. 15, 2026\n\nBEIJING, Oct. 15, 2026 /PRNewswire/ -- Traditionally, mobile networks have\nenabled early communication through voice calls, text messaging, and mobile\ninternet access. However, the emerging agentic era requires support to manage\na massive number of AI agents. This evolution requires the core network\narchitecture to understand intent, make intelligent decisions, and ensure the\nend-to-end completion of AI-driven tasks.\n\n\nHuawei believes that an AI-native core network will be essential to this\ntransformation. By embedding AI into interfaces, functions, and procedures,\noperators can evolve from providing connectivity alone to delivering\nintelligent network capabilities for the next generation of digital services.\n\nAccording to Huawei's Intelligent World 2035 report, the number of AI agents\nglobally could reach 900 billion by 2035—approximately 100 times the world's\npopulation. With the increasing number of AI agents, the core network\narchitecture must be able to support the long-term growth of new connections\nand services.\n\nAs AI terminals and applications become increasingly adopted, agentic services\nwill emerge as typical scenarios of mobile networks, driving network evolution\nfrom transporting data bits to enabling task-oriented tokens.\n\nHuawei identified three typical service scenarios for agentic experience\nassurance.\n* Agent Over New Radio (AoNR) for Task Latency Assurance: Portable AI devices\nface limitations in computing power, battery capacity, size, and cost, making\nend-to-end latency essential. AoNR is designed to consistently deliver an\nexcellent experience while keeping end-to-end task latency below demanding\nthresholds.\n* Wide-Area Computing Network (WCN) for Computing Efficiency Gains: A WCN can\ninterconnect computing resources through mobile networks, enabling task-based\ncomputing scheduling and standardized computing services.\n* Agent Computing Network (ACN) for Collaboration Security Assurance: Most\ncomplex tasks will involve multiple AI agents working across domains,\nenterprises, and ecosystems rather than a single agent, which is constrained\nby model capabilities, context limitations, role conflicts, or sequential\nprocessing challenges. Complex scenarios will require secure, dynamic\ncollaboration among multiple specialized agents.\nAn ACN enables efficient cross-domain and cross-ecosystem agent collaboration\nthrough three capabilities: cross-domain trusted digital identity, skill-based\nagent discovery and routing, and task-driven dynamic networking.\n\nTo bridge the gap between terminals and networks, the next generation of core\nnetwork architecture should have three key characteristics:\n1. Interfaces (From Signaling to Intent): Intent-based interfaces allow\nterminals to communicate personalized task requirements—including\nnetworking, computing, and experience needs—directly to the network.\n2. Functions (C/U Planes to C/U+DAP Planes): Introduces a dedicated Data & AI\nPlane (DAP) alongside traditional control and user planes to act as the\nintelligence layer, interpreting task intents and dynamically aligning\nresources in real time.\n3. Procedures (From AI Overlay to AI-Native): Deeply embeds AI decision-making\ninto fundamental network procedures to coordinate connectivity and computing\nseamlessly.\nLooking ahead, Huawei outlined two stages of the AI-driven core network\nevolution. Stage one involves how the network enhances customer experiences by\noverlaying AI capabilities. While stage two is AI native next generation core\nnetwork, enabling what Huawei describes as \"enhanced connectivity\", where\ntask-oriented AI services ensure task completion, and \"beyond connectivity\",\nwhere the network must provide capabilities beyond communication, such as\nproviding computing service, and facilitating agents collaboration etc. To\nadapt to these new services, the network architecture will need to be\nrestructured, particularly in interaction mechanisms, data architecture, and\ncomputing architecture.\n\nIn addition, the transition to AI-native networks requires comprehensive\ncollaboration across the ICT ecosystem, including terminals, chips, and\nnetworks. Through the terminal-network synergy mechanism and advanced core\nnetwork architecture, the next-generation core network enables new connections\nand services, opening up new business opportunities in the era of\nintelligence.\n\n \n\nView original content to download\nmultimedia:https://www.prnewswire.co.uk/news-releases/building-the-ai-native-core-for-next-generation-agentic-services-302909466.html\n\n\n\nlaura.lihuan@huawei-partners.com\n\nPhoto: \nhttps://mmx.prnewswire.com/media/MS2013218/20261014075015EDT_image_1.jpg?id=OA3020796\n\nCopyright (c) 2026 PR Newswire Association,LLC. All Rights Reserved.","article_body_html":"","raw_payload":{"data":{"id":"nPreSl0lMa-20261015","title":"Building the AI-Native Core for Next-Generation Agentic Services","author":"PR Newswire","ticker":"HWT","created":"2026-10-15T04:31:19.071Z","tickers":["HWT"],"exchange":"","article_body":"Building the AI-Native Core for Next-Generation Agentic Services\nPR Newswire\n\nBEIJING, Oct. 15, 2026\n\nBEIJING, Oct. 15, 2026 /PRNewswire/ -- Traditionally, mobile networks have\nenabled early communication through voice calls, text messaging, and mobile\ninternet access. However, the emerging agentic era requires support to manage\na massive number of AI agents. This evolution requires the core network\narchitecture to understand intent, make intelligent decisions, and ensure the\nend-to-end completion of AI-driven tasks.\n\n\nHuawei believes that an AI-native core network will be essential to this\ntransformation. By embedding AI into interfaces, functions, and procedures,\noperators can evolve from providing connectivity alone to delivering\nintelligent network capabilities for the next generation of digital services.\n\nAccording to Huawei's Intelligent World 2035 report, the number of AI agents\nglobally could reach 900 billion by 2035—approximately 100 times the world's\npopulation. With the increasing number of AI agents, the core network\narchitecture must be able to support the long-term growth of new connections\nand services.\n\nAs AI terminals and applications become increasingly adopted, agentic services\nwill emerge as typical scenarios of mobile networks, driving network evolution\nfrom transporting data bits to enabling task-oriented tokens.\n\nHuawei identified three typical service scenarios for agentic experience\nassurance.\n* Agent Over New Radio (AoNR) for Task Latency Assurance: Portable AI devices\nface limitations in computing power, battery capacity, size, and cost, making\nend-to-end latency essential. AoNR is designed to consistently deliver an\nexcellent experience while keeping end-to-end task latency below demanding\nthresholds.\n* Wide-Area Computing Network (WCN) for Computing Efficiency Gains: A WCN can\ninterconnect computing resources through mobile networks, enabling task-based\ncomputing scheduling and standardized computing services.\n* Agent Computing Network (ACN) for Collaboration Security Assurance: Most\ncomplex tasks will involve multiple AI agents working across domains,\nenterprises, and ecosystems rather than a single agent, which is constrained\nby model capabilities, context limitations, role conflicts, or sequential\nprocessing challenges. Complex scenarios will require secure, dynamic\ncollaboration among multiple specialized agents.\nAn ACN enables efficient cross-domain and cross-ecosystem agent collaboration\nthrough three capabilities: cross-domain trusted digital identity, skill-based\nagent discovery and routing, and task-driven dynamic networking.\n\nTo bridge the gap between terminals and networks, the next generation of core\nnetwork architecture should have three key characteristics:\n1. Interfaces (From Signaling to Intent): Intent-based interfaces allow\nterminals to communicate personalized task requirements—including\nnetworking, computing, and experience needs—directly to the network.\n2. Functions (C/U Planes to C/U+DAP Planes): Introduces a dedicated Data & AI\nPlane (DAP) alongside traditional control and user planes to act as the\nintelligence layer, interpreting task intents and dynamically aligning\nresources in real time.\n3. Procedures (From AI Overlay to AI-Native): Deeply embeds AI decision-making\ninto fundamental network procedures to coordinate connectivity and computing\nseamlessly.\nLooking ahead, Huawei outlined two stages of the AI-driven core network\nevolution. Stage one involves how the network enhances customer experiences by\noverlaying AI capabilities. While stage two is AI native next generation core\nnetwork, enabling what Huawei describes as \"enhanced connectivity\", where\ntask-oriented AI services ensure task completion, and \"beyond connectivity\",\nwhere the network must provide capabilities beyond communication, such as\nproviding computing service, and facilitating agents collaboration etc. To\nadapt to these new services, the network architecture will need to be\nrestructured, particularly in interaction mechanisms, data architecture, and\ncomputing architecture.\n\nIn addition, the transition to AI-native networks requires comprehensive\ncollaboration across the ICT ecosystem, including terminals, chips, and\nnetworks. Through the terminal-network synergy mechanism and advanced core\nnetwork architecture, the next-generation core network enables new connections\nand services, opening up new business opportunities in the era of\nintelligence.\n\n \n\nView original content to download\nmultimedia:https://www.prnewswire.co.uk/news-releases/building-the-ai-native-core-for-next-generation-agentic-services-302909466.html\n\n\n\nlaura.lihuan@huawei-partners.com\n\nPhoto: \nhttps://mmx.prnewswire.com/media/MS2013218/20261014075015EDT_image_1.jpg?id=OA3020796\n\nCopyright (c) 2026 PR Newswire Association,LLC. All Rights Reserved."},"type":"article","timestamp":"2026-10-15T04:31:19.14070484Z","server_sent_at_ms":1792038679140},"received_at":"2026-10-15T04:31:19.190Z","source_url":null},"analysis":{"id":"157924","press_release_id":"169697","analysis_json":{"industry":{"label":"Communications Equipment","sector":"Information Technology"},"redFlags":[],"eventType":"other","narrative":"Huawei published a vision paper arguing that mobile core networks must become AI-native to support an emerging 'agentic era' in which networks manage AI-driven tasks rather than just connectivity.\n\nCiting its Intelligent World 2035 report, Huawei projects roughly 900 billion AI agents globally by 2035, about 100 times the world population, as the demand driver for the architectural shift.\n\nThe paper outlines three service scenarios (AoNR latency assurance, wide-area computing networks, and agent computing networks) and a two-stage evolution toward intent-based interfaces, a new Data & AI Plane, and AI-embedded network procedures.","sentiment":"neutral","agentHooks":{"shouldPost":false,"suggestedAngle":"Huawei thought-leadership on AI-native 6G-era core networks -- industry vision, not a material filing."},"keyFigures":{"customDimensions":{"projected_ai_agents_by_2035":900000000000}},"quotedText":"the number of AI agents globally could reach 900 billion by 2035—approximately 100 times the world's population","namedEntities":{"people":[],"products":["Agent Over New Radio (AoNR)","Wide-Area Computing Network (WCN)","Agent Computing Network (ACN)","Data & AI Plane (DAP)","Intelligent World 2035 report"],"companies":[{"name":"Huawei","relationship":"author/subject of the vision paper"}],"dollarAmounts":[]},"materialImpact":{"score":1,"reasoning":"This is a thought-leadership/vision piece from Huawei outlining an AI-native core network architecture concept. No financial figures, contracts, products, or regulatory events; it is marketing/industry commentary rather than a material corporate disclosure."},"tickerRelevance":{"others":[],"primary":"HWT"},"globalImportance":12,"audienceRelevance":10,"eventTypeSecondary":[],"importanceComponents":{"tickerTier":"foreign/private issuer","eventGravity":"thought-leadership-vision-paper","issuerAuthored":true,"financialMateriality":"none"}},"event_type":"other","event_type_secondary":null,"sentiment":"neutral","material_impact_score":1,"narrative":"Huawei published a vision paper arguing that mobile core networks must become AI-native to support an emerging 'agentic era' in which networks manage AI-driven tasks rather than just connectivity.\n\nCiting its Intelligent World 2035 report, Huawei projects roughly 900 billion AI agents globally by 2035, about 100 times the world population, as the demand driver for the architectural shift.\n\nThe paper outlines three service scenarios (AoNR latency assurance, wide-area computing networks, and agent computing networks) and a two-stage evolution toward intent-based interfaces, a new Data & AI Plane, and AI-embedded network procedures.","key_figures":{"customDimensions":{"projected_ai_agents_by_2035":900000000000}},"named_entities":{"people":[],"products":["Agent Over New Radio (AoNR)","Wide-Area Computing Network (WCN)","Agent Computing Network (ACN)","Data & AI Plane (DAP)","Intelligent World 2035 report"],"companies":[{"name":"Huawei","relationship":"author/subject of the vision paper"}],"dollarAmounts":[]},"model_name":"glm-5.3-flashx","prompt_hash":"sha256:5c812bd9e28b810d","schema_hash":"sha256:05005c02d9cffac9","created_at":"2026-10-15T04:31:23.945Z","global_importance":12,"audience_relevance":10,"importance_components":{"tickerTier":"foreign/private issuer","eventGravity":"thought-leadership-vision-paper","issuerAuthored":true,"financialMateriality":"none"}},"durationMs":4737,"modelName":"glm-5.3-flashx"}}