[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f9wICNTQhfXuwdS34MXYOoEoFA_VSWnh7xnBCwTe_pSk":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},1145,"AI教育的最好时机何时到来？这场WAIC大会给出了答案","\u003Cp>\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">7月26日至28日，2025世界人工智能大会在上海浦东世博中心、世博展览馆、徐汇西岸等地同步开启。此次大会盛况空前，800余家全球企业参展，3000余项前沿展品集中发布，涵盖大模型、AI终端、智能机器人等核心领域。\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">当下，教育科技产业迎来资本赋能与生态共建的关键发展期，AI正加速渗透教育各环节，成为破解教育行业优质、普惠和个性化“不可能三角”的关键力量。学而思早早布局AI领域，推出多款大模型并在公立学校试用，探索教育重构方向；国海证券团队研究认为AI将推动教育快速迭代，不同阶段AI + 教育功能各异且潜力巨大。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">值得一提的是，大会期间，“链合π圆桌会”论坛在世博展览馆举行。该论坛由世界人工智能大会组委会主办、财联社承办，东浩兰生协办，以“AI + 教育：重塑未来学习新生态”为主题，邀请了AI教育领域的知名企业、投资机构以及媒体朋友齐聚一堂，共同探讨AI教育的发展前景。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px; color: rgb(255, 153, 0);\" class=\"ql-lineHeight-1-75\">AI + 教育，破解不可能三角\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">当下，教育科技产业处于资本赋能与生态共建的关键发展期，国家及地方政策密集出台，大力推动产教融合、科技金融、人工智能教育等领域的深度发展。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px;\">学而思执行总裁位晨做了《从“学习辅助”到“成长赋能”——学而思的AI教育生态建设》的主题演讲，深入剖析AI对教育行业的变革与影响，分享学而思在这一领域的探索与实践。\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">在位晨看来，AI通过提供丰富多样的学习资源和个性化学习体验，正在改变传统的学习方式，帮助解决教育资源不均的问题。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cimg alt=\"undefined\" src=\"https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F07\u002Fcf72c7545c764bca85663421f8c19c9f\u002F41sasN39Zh_863x519.png\" width=\"665\" height=\"undefined\" style=\"display: block; margin: auto;\">\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">值得一提的是，学而思很早的布局了AI领域，2017年成立AI Lab，2019年参与国家智慧教育开放创新平台项目。2023年推出的“九章大模型”成为教育垂类首批通过备案的大模型，今年7月与北师大联合开发的“师承万象”大模型，作为首个紧扣新课标知识体系的基础教育大模型，已进入北京市教委AI应用超市，并在北京六十多所公立学校试用。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">位晨认为，AI对教育的影响只是冰山一角，未来需思考教育重构方向，以及孩子该学什么、怎么学。“人类独特的创造力、同理共情能力、思辨能力和团队协作能力等，在过去、现在和未来都至关重要。科技只是工具，教育的目标是培养德智体美劳全面发展的学生。孩子们天马行空的想法和创新创意能力让人期待，在AI赋能下，他们必将创造更美好的未来。”\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px;\">国海证券研究所传媒联席首席、教育首席谭瑞峤在《AI + 教育，破解“不可能三角”》的专业分享称，国海证券团队自2023年生成式AI出现后，对各类AI + 教育产品做了充分研究测评。\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">她指出，2023年AI + 教育处于Chatbot智能问答阶段，能实现批改、答疑；2024年进入Copilot阶段，可进行学习引导和浅层知识传授；2025年进入L3 Autopilot阶段，切入主动教学领域。AI有望解决教育行业优质、普惠和个性化的“不可能三角”。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">在商业化方面，AI教育产品需在功能价值和情感价值上突破用户心理边界，语言类产品较快实现商业化。竞争上，AI + 教育产品未来产品力和品牌IP将成为关键。从产业图谱看，可按学科、用户和终端场景划分赛道，不同终端载体适用于不同场景。她认为，AI将推动教育行业快速迭代发展。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px; color: rgb(255, 153, 0);\" class=\"ql-lineHeight-1-75\">AI教育的最好时机何时到来？\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">今年有一个非常显著的变化，就是AI正在加速渗透到这个教育的各个环节，为何现在是AI教育的最好时机？\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cimg alt=\"undefined\" src=\"https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F07\u002F9051edc7ab474fee87b36c391682dfb9\u002FK049g7NO27_864x576.png\" width=\"670\" height=\"undefined\" style=\"display: block; margin: auto;\">\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">在学而思学习机AI产品负责人李通看来，当下是AI + 教育最好的时代，关键变量在于大模型的出现。大模型技术带来生产力变革，它不仅压缩了人类迄今的所有知识，O1出现后还具备更强的推理能力。在很多学习 关键场景，如解题、讲题、批改等方面，正逐步取代老师的部分工作。若能复刻全国优质老师的数字分身，未来每个孩子就可能拥有更懂自己的AI老师，实现真正的个性化教育，这便是最大的机遇。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">在中国人工智能领军科学家刘志毅眼中，国内早在2014年便涉足人工智能教育。早期，机器学习在教育领域的研究多聚焦于教育平台、慕课平台进行知识传递。大模型的\u003C\u002Fspan>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">出现带来巨大变革，它不只是知识赋能，还能助力人们依据AI反馈，将隐性知识转化为显性知识，作为智慧工具，深刻改变了学习过程。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">刘志毅认为，当下培养的是智能体一代或人工智能原生一代，他们在认知、技术运用及使用方式上与以往大不相同，这正是AI教育迎来“最好时刻”的体现。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">智谱高级副总裁吴玮杰看来，今年出台了诸多利好政策，为AI教育发展营造了良好环境，同时今年以来推理模型等技术能力不断提升，技术迭代让模型实用性大幅增强，以及大模型人工智能成本大幅下降，这进一步提升了模型的可使用性等等这些有力推动了人工智能与教育更紧密地结合。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">“今天我认为模型并非答案。过去不少教育机构或科技公司初次合作时，都要求模型准确率达100%，可技术演进中目前难以实现。以作业批改为例，它包含手写体识别、过程批改、答案批改三个环节，各环节准确率相乘，最终结果会大打折扣。所以不能把模型当许愿池，这需要模型公司与教育工作者携手，结合行业能力与数据，才能让模型更精准。”吴玮杰强调称。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px; color: rgb(255, 153, 0);\" class=\"ql-lineHeight-1-75\">AI领域还有哪些投资机会\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">当下，AI应用在各重点领域呈现出百花齐放的态势，不过从投资视角审视，不同领域的AI落地与应用前景存在差异。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cimg alt=\"undefined\" src=\"https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F07\u002F193d68961b2848df893a74994c5a195a\u002F5nqaWzEbaS_864x547.png\" width=\"649\" height=\"undefined\" style=\"display: block; margin: auto;\">\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">百联挚高资本创始合伙人蔡丹枫对工业领域十分看好。在他看来，AI手机市场已被大厂占据，一级市场投资难度颇高；家用机器人距离成熟应用尚远。而工业场景更契合当下需求。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">此外，他也认可AI在医疗领域的潜力，如加速渐冻症等罕见病靶向药研发和疾病诊断；汽车领域虽已有龙头，但仍有应用和信创公司的机会。不过综合权衡，工业仍是他最看好的投资领域。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">常垒资本管理合伙人冯博近期投资了两家AI Agent公司，分别聚焦Excel与数据处理、服务制造业白领，切实替代了部分人工。他还看好AI在教育和家庭消费领域的未来机会。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">上海章和投资董事长高国垒在谈到资本泡沫时说，创业与投资都是在博成功的概率，风口赛道的知名创业者往往起始融资额就比较高，难免存在资本过热现象，这也是正常的市场现象。就像前几年大模型创业，百模大战，创业者和资本纷纷入局。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">“如今大模型竞争格局快速收敛，开源的或许只会剩 下DeepSeek 和通义千问，闭源的可能只剩下豆包，其他大多成了‘炮灰’。虽然大部分大模型公司创业没有成功，但在提供就业、锻炼人才等方面仍有价值。”高国垒说到。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">西南证券研究院总经理助理王湘杰则指出，AI蓝海在应用端。目前消费者端变化良好，优秀模型能力不断提升。B端企业需求滞后，但预计企业级需求下半年或提振，芯片供需仍是优质赛道，消费者端加速，企业级应用下半年或加速。\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>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\">【新闻来源】\u003C\u002Fspan>\u003Cspan style=\"color: rgb(187, 187, 187); background-color: rgb(56, 56, 56);\">财联社 \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Ffinance.sina.com.cn\u002Fjjxw\u002F2025-07-27\u002Fdoc-infhwxxu6016964.shtml\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">https:\u002F\u002Ffinance.sina.com.cn\u002Fjjxw\u002F2025-07-27\u002Fdoc-infhwxxu6016964.shtml\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">（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\u002Fspan>\u003C\u002Fp>","","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F07\u002Fed8de5e358d0407ea603f832f2921489\u002F教育生态.jpg","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F07\u002Fthumbs\u002Fed8de5e358d0407ea603f832f2921489\u002F教育生态.jpg",0,1,220,"2025-07-28 18:11",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%3Acb77922f-cbab-4375-ae07-870994c43d23%3A0.wav?Expires=1753702857&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=AZ0o9G9DGW6IqRaN%2BROuUITu360%3D",14270384,"cb77922f-cbab-4375-ae07-870994c43d23","2025-07-28 17:54","When is the best time for AI education? This WAIC conference has given the answer","\u003Cp>\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">July 26 to 28, 2025, the World Artificial Intelligence Conference will be held simultaneously in Shanghai Pudong Expo Center, Pudong Expo Exhibition Hall, and Xuhui West Bank. The conference is a grand event with over 800 global companies participating and more than 3,000 cutting-edge products being launched, covering core areas such as large models, AI terminals, and intelligent robots.\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Currently, the educational technology industry is entering a critical development period of capital empowerment and ecological construction. AI is accelerating its penetration into all aspects of education, becoming a key force to solve the \"impossible triangle\" of high-quality, inclusive, and personalized education. Xueersi has been actively laying out the AI field, launching multiple large models and testing them in public schools, exploring directions for educational restructuring; the team of Guohai Securities believes that AI will drive rapid iteration in education, with different stages of AI + education having various functions and great potential.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Notably, during the conference, the \"Link π Roundtable\" forum was held at the Pudong Expo Exhibition Hall. Hosted by the World Artificial Intelligence Conference Organizing Committee, co-hosted by Cailian Press, and supported by Donghao Lansheng, the forum focused on \"AI + Education: Reshaping the New Learning Ecosystem,\" inviting well-known enterprises, investment institutions, and media friends in the AI education field to gather together and jointly explore the development prospects of AI education.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px; color: rgb(255, 153, 0);\" class=\"ql-lineHeight-1-75\">AI + Education, Solving the Impossible Triangle\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Currently, the educational technology industry is in a critical development period of capital empowerment and ecological construction. The state and local policies are being issued frequently, vigorously promoting the deep development of fields such as industry-academia integration, science and technology finance, and artificial intelligence education.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px;\">Wei Chen, Executive President of Xueersi, delivered a keynote speech titled \"From 'Learning Assistance' to 'Growth Empowerment'—Building an AI Education Ecosystem for Xueersi,\" deeply analyzing the transformation and impact of AI on the education industry and sharing Xueersi's exploration and practice in this field.\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">In Wei Chen's view, AI is changing traditional learning methods by providing rich and diverse learning resources and personalized learning experiences, helping to solve the problem of uneven distribution of educational resources.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cimg alt=\"undefined\" src=\"https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F07\u002Fcf72c7545c764bca85663421f8c19c9f\u002F41sasN39Zh_863x519.png\" width=\"665\" height=\"undefined\" style=\"display: block; margin: auto;\">\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Notably, Xueersi has long been involved in the AI field. In 2017, it established an AI Lab, and in 2019, participated in the National Smart Education Open Innovation Platform project. In 2023, the \"Jiu Zhang Large Model\" became one of the first large models in the education sector to pass the filing. In July of this year, the \"Shicheng Wanxiang\" large model developed in collaboration with Beijing Normal University became the first basic education large model closely aligned with the new curriculum standards, and has entered the Beijing Municipal Education Commission's AI application supermarket and is being tested in more than 60 public schools in Beijing.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Wei Chen believes that the impact of AI on education is just the tip of the iceberg, and future considerations should focus on the direction of educational restructuring and what children should learn and how they should learn. \"Human unique creativity, empathy, critical thinking, and teamwork abilities have always been crucial, both in the past, now, and in the future. Technology is just a tool, and the goal of education is to cultivate students who are well-rounded in morality, intelligence, physical fitness, aesthetics, and labor. The imaginative ideas and innovative capabilities of children are exciting, and under AI empowerment, they will surely create a better future.\"\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px;\">Tan Ruiqiao, Chief Executive of the Media and Education Departments at Guohai Securities Research Institute, gave a professional sharing titled \"AI + Education, Solving the 'Impossible Triangle,' stating that since the emergence of generative AI in 2023, the Guohai Securities team has conducted comprehensive research and evaluation on various AI + Education products.\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">She pointed out that in 2023, AI + Education was in the Chatbot Q&A stage, capable of grading and answering questions; in 2024, it entered the Copilot phase, able to guide learning and deliver shallow knowledge; in 2025, it moved into the L3 Autopilot phase, entering the active teaching domain. AI has the potential to solve the \"impossible triangle\" of high-quality, inclusive, and personalized education.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">In terms of commercialization, AI education products need to break through user psychological boundaries in functional value and emotional value. Language-related products have quickly achieved commercialization. In terms of competition, product power and brand IP will become key factors for AI + education products in the future. Looking at the industrial map, it can be divided into segments based on subjects, users, and terminal scenarios, with different terminal carriers suitable for different scenarios. She believes that AI will drive rapid iteration in the education industry.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px; color: rgb(255, 153, 0);\" class=\"ql-lineHeight-1-75\">When is the best time for AI education?\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">This year, there has been a very significant change: AI is accelerating its penetration into all aspects of education. Why is now the best time for AI education?\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cimg alt=\"undefined\" src=\"https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F07\u002F9051edc7ab474fee87b36c391682dfb9\u002FK049g7NO27_864x576.png\" width=\"670\" height=\"undefined\" style=\"display: block; margin: auto;\">\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">In Li Tong's view, the current era is the best time for AI + education, with the key variable being the emergence of large models. Large model technology brings productivity transformation, compressing all human knowledge to date, and after O1's appearance, it also has stronger reasoning capabilities. In many key learning scenarios, such as problem-solving, explanation, and grading, it is gradually replacing part of the teachers' work. If we can replicate the digital avatars of top teachers nationwide, each child may have a more understanding AI teacher, achieving true personalization education, which is the biggest opportunity.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">In the eyes of Liu Zhiyi, a leading Chinese artificial intelligence scientist, China has been involved in AI education since 2014. In the early days, machine learning research in the education field mainly focused on knowledge transmission through educational platforms and MOOC platforms. The emergence of large models brought a huge change, not only providing knowledge empowerment but also helping people convert implicit knowledge into explicit knowledge based on AI feedback, profoundly changing the learning process as a smart tool.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Liu Zhiyi believes that the current generation is the intelligent entity generation or the AI-native generation, who differ greatly from previous generations in cognition, technology usage, and usage methods, which is the embodiment of AI education's \"best moment.\"\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">According to Wu Weijie, Vice President of Zhigpu, this year has seen many favorable policies that have created a good environment for the development of AI education. At the same time, since the beginning of this year, the technical capabilities of inference models have continued to improve, and technological iteration has significantly enhanced the practicality of the models. Additionally, the cost of large model AI has dropped significantly, further improving the usability of the models, which has further promoted the close integration of artificial intelligence and education.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">“Today, I believe that the model is not the answer. In the past, many educational institutions or tech companies required the model accuracy rate to reach 100% when they first collaborated, but currently, it is difficult to achieve this in the technological evolution. For example, homework grading involves three steps: handwriting recognition, process grading, and answer grading. The final result is significantly reduced due to the multiplication of accuracy rates in each step. Therefore, the model cannot be regarded as a wish pool. It requires model companies and educators to work together, combining industry capabilities and data, to make the model more accurate,” Wu Weijie emphasized.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px; color: rgb(255, 153, 0);\" class=\"ql-lineHeight-1-75\">What investment opportunities are there in the AI field?\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Currently, AI applications are showing a flourishing trend in major areas, but from an investment perspective, there are differences in the landing and application prospects of AI in different fields.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cimg alt=\"undefined\" src=\"https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F07\u002F193d68961b2848df893a74994c5a195a\u002F5nqaWzEbaS_864x547.png\" width=\"649\" height=\"undefined\" style=\"display: block; margin: auto;\">\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Cai Danfeng, founding partner of Bailing Zhi Gao Capital, is very optimistic about the industrial field. In his view, the AI phone market has been dominated by big companies, making it difficult to invest in the primary market; home robots are still far from mature applications. However, industrial scenarios are more in line with current needs.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">In addition, he also recognizes the potential of AI in the medical field, such as accelerating the development of targeted drugs for rare diseases like ALS and disease diagnosis; although there are already leaders in the automotive field, there are still opportunities for applications and information technology companies. However, after comprehensive consideration, industry remains the most promising investment field for him.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Feng Bo, managing partner of Changlei Capital, recently invested in two AI Agent companies, focusing on Excel and data processing, serving white-collar workers in manufacturing, effectively replacing some manual tasks. He also sees future opportunities for AI in education and family consumption sectors.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Gao Guolei, chairman of Shanghai Zhanghe Investment, when talking about capital bubbles, said that entrepreneurship and investment are both about betting on the probability of success. Famous entrepreneurs in the hot sectors often start with high fundraising amounts, inevitably leading to overheated capital, which is a normal market phenomenon. Just like the large model entrepreneurship a few years ago, the battle of hundreds of models, entrepreneurs and capital rushed in.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">“Now the competition pattern of large models is rapidly converging, and open-source ones may only leave DeepSeek and Tongyi Qianwen, while closed-source ones may only leave Doubao, and others mostly became 'expendables.' Although most large model companies have not succeeded in their startups, they still have value in providing employment and talent training,” Gao Guolei said.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Wang Xiangjie, assistant general manager of Southwest Securities Research Institute, pointed out that the blue ocean of AI is in the application end. Currently, consumer-side changes are good, and the capabilities of excellent models are continuously improving. The demand from B-end enterprises lags behind, but it is expected that enterprise-level demand will pick up in the second half of the year, and chip supply and demand will remain a quality sector, with consumer-side acceleration and enterprise-level applications possibly accelerating in the second half of the year.\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>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\">[News Source]\u003C\u002Fspan>\u003Cspan style=\"color: rgb(187, 187, 187); background-color: rgb(56, 56, 56);\">Cailian Press \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Ffinance.sina.com.cn\u002Fjjxw\u002F2025-07-27\u002Fdoc-infhwxxu6016964.shtml\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">https:\u002F\u002Ffinance.sina.com.cn\u002Fjjxw\u002F2025-07-27\u002Fdoc-infhwxxu6016964.shtml\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">（The article is forwarded by this site to provide readers with more information and news. The content does not constitute investment or consumption advice. If there are any doubts about the facts of the article, please verify with the relevant parties. The views of the article are not the views of this site, and are for reference only.）\u003C\u002Fspan>\u003C\u002Fp>","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3Adc0ed947-ad17-4f61-9800-a7c326e2129b%3A0.wav?Expires=1774838511&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=mh1WDruZFVIIjJTI61m%2BmVQcvuY%3D","dc0ed947-ad17-4f61-9800-a7c326e2129b",17720126]