[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fNv3kX7BSBj_wsF7GMs58BTHqSQRyJF0nXSMmbr5jDc0":3},{"code":4,"msg":5,"data":6},200,"操作成功",{"id":7,"title":8,"content":9,"digest":10,"source":10,"coverPath":11,"thumbsCoverPath":12,"isTop":13,"isShow":14,"baseClick":13,"clickCount":15,"createTime":16,"typeId":17,"isNewest":18,"newsInfoTypeRespVo":19,"voiceUrl":22,"voiceSize":23,"taskId":24,"releaseTime":25,"titleEn":26,"contentEn":27,"voiceUrlEn":28,"taskIdEn":29,"voiceSizeEn":30},2043,"AI迈入“智变”元年 人工智能核心产业规模突破万亿元","\u003Cp>\u003Cspan style=\"font-size: 18px;\">2026 年 5 月 29 日，以 “智变：人工智能重构增长新范式” 为主题的数字经济大会举办，时值 “十五五” 开局之年，今年政府工作报告提出打造智能经济新形态，AI 正式推动国内经济从数字化迈向智能化新阶段。工信部数据显示，2025 年我国 AI 核心产业规模突破 1.2 万亿元、相关企业超 6200 家，行业目标指向 “十五五” 末产业规模超 10 万亿元。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">与会业内达成共识：AI 已从辅助工具升级为核心生产要素，告别文案生成等浅层应用，深入各行各业核心业务。2023 年至今，通用大模型不断结合行业私有数据落地，业内预判未来三年各类企业都将以智能体重构经营流程；阿尔特汽车依托自研垂类模型，把新车研发周期由 36 个月压缩至 18 个月，格灵深瞳、国科恒泰等企业也在智能制造、医疗器械流通等领域落地商业化 AI 方案，本土产业链借 AI 实现从技术跟随转向创新定义。6G 技术融合通信、算力与 AI，将算力部署于网络端，破解智能终端硬件瓶颈，助力智能网联汽车、机器人规模化落地。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">在 AI 高速扩张之外，与会专家提出产业发展需兼顾 “快发展” 与 “慢治理”。数据合规成为企业落地 AI 的准入门槛，深度伪造、AI 幻觉带来信任隐患，网络安全需要贯穿产品全生命周期；企业接入大模型易出现核心数据泄密、代码漏洞等问题，数据隐私管控迫在眉睫。同时，AI 加速拉大从业者能力差距，全行业人才结构调整进度滞后于技术迭代速度。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">与会嘉宾认为，AI 重塑产业已成既定趋势，各界需加强协同交流，完善安全、数据、人才配套建设，理性引导智能产业稳步落地。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>【新闻来源】今日头条   https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7645612358877905408\u002F\u003C\u002Fp>\u003Cp>（本网转发此文章，旨在为读者提供更多的信息资讯，所涉内容不构成投资、消费建议。文章事实如有疑问，请与有关方核实，文章观点非本网观点，仅供读者参考。）\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>","","https:\u002F\u002Fimage.51xinwei.com\u002F2026\u002F06\u002F0baf4e7f8f884bc78f1ffb470d9e12bd\u002F芯位视野.png","https:\u002F\u002Fimage.51xinwei.com\u002F2026\u002F06\u002Fthumbs\u002F0baf4e7f8f884bc78f1ffb470d9e12bd\u002F芯位视野.png",0,1,10,"2026-06-04 10:30",2,false,{"id":17,"name":20,"enName":21},"芯位视野","Xinwei Vision","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3Ac4ab4704-0576-4724-ba10-47586e82c837%3A0.wav?Expires=1780543976&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=w3Xnjxy3%2B%2FS5AcFCGpKixpoaPWc%3D",3831070,"c4ab4704-0576-4724-ba10-47586e82c837","2026-06-04 10:28","AI Enters the \"Intelligent Transformation\" Inaugural Year, Core AI Industry Scale Surpasses One Trillion Yuan","\u003Cp>\u003Cspan style=\"font-size: 18px;\">On May 29, 2026, the Digital Economy Conference was held with the theme \"Intelligent Transformation: AI Reshaping New Paradigms for Growth.\" Coinciding with the beginning of the 15th Five-Year Plan, this year's government work report proposed building a new form of intelligent economy, officially marking AI's push for the domestic economy to transition from digitalization to a new stage of intelligence. Data from the Ministry of Industry and Information Technology shows that in 2025, China's core AI industry scale exceeded 1.2 trillion yuan, with over 6,200 related enterprises. The industry aims to achieve an industrial scale exceeding 10 trillion yuan by the end of the 15th Five-Year Plan period.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">A consensus was reached among industry participants: AI has evolved from an auxiliary tool into a core production factor, moving beyond superficial applications like copy generation to deeply integrate into the core operations of various industries. Since 2023, general-purpose large models have continuously been implemented by integrating industry-specific private data. The industry predicts that over the next three years, all types of enterprises will restructure their business processes with intelligence; ARCFOX Automobile, relying on its self-developed vertical models, has compressed new vehicle development cycles from 36 months to 18 months. Companies like Geely DeepSeek and Guoke Hengtai have also commercialized AI solutions in fields such as smart manufacturing and medical device distribution. The local industrial chain leverages AI to shift from technological followership to innovative definition. 6G technology integrates communication, computing power, and AI, deploying computing power at the network edge to overcome hardware bottlenecks in intelligent terminals, facilitating the large-scale implementation of smart connected vehicles and robots.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">Beyond AI's rapid expansion, participating experts suggested that industrial development must balance \"fast growth\" with \"careful governance.\" Data compliance has become a prerequisite for enterprises implementing AI, with deepfakes and AI hallucinations posing trust risks, necessitating cybersecurity measures throughout the entire product lifecycle; enterprises accessing large models are prone to issues like core data leaks and code vulnerabilities, making data privacy control urgent. Simultaneously, AI accelerates the widening skill gap among practitioners, with the pace of talent structure adjustment across the industry lagging behind the speed of technological iteration.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">Attendees agreed that AI reshaping industries is an established trend. All sectors need to strengthen collaboration and communication, improve supporting infrastructure for security, data, and talent, and rationally guide the steady implementation of the intelligent industry.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>【News Source】Toutiao   https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7645612358877905408\u002F\u003C\u002Fp>\n\u003Cp>(This website reposts this article to provide readers with more information. The content does not constitute investment or consumption advice. If there are questions regarding the facts in the article, please verify with relevant parties. The views expressed in the article are not necessarily those of this website and are for reference only.)\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3Ac6e8d0e1-fd35-4783-bc14-66beca5d9b9b%3A0.wav?Expires=1780543976&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=g77QCHnfdhn%2BbyTHmiSz7T%2BZzPM%3D","c6e8d0e1-fd35-4783-bc14-66beca5d9b9b",5960266]