同比大增176%！腾讯二季度资本开支近528亿元加速AI算力布局：混元模型仍是资本支出最高优先级

每日经济新闻09:33

8月12日晚间，腾讯控股（HK00700，股价461.60港元，市值4.19万亿港元）召开2026年第二季度业绩电话会。第二季度公司资本开支达到527.8亿元，同比大幅增长176%，算力采购成为投入核心。　　腾讯AI（人工智能）办公产品WorkBuddy用户规模、交互量领跑国内市场，其爆发式增长带动公司资源倾斜，AI相关投入规模持续走高。“因为我们发现WorkBuddy正在爆发式增长，所以我们果断...

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Tencent's capital expenditure in the second quarter was nearly 52.8 billion yuan to accelerate the layout of AI computing power: Hunyuan model is still the highest priority of capital expenditure","themeId":null,"isJumpTheme":false,"ttsUrl":"https://static.tigerbbs.com/0ab4c46fc403e4bc55671183a56d2201","symbols_score_info":{"CXSE":0.6,"ESPO":0.6,"FFEM":0.6,"AAXJ":0.6,"SOCL":0.6,"ODDS":0.6,"TCEHY":1.98,"LDEM":0.6,"BKF":0.6,"XSOE":0.6,"GAMR":0.6,"HTCD.SI":0.6,"TCHI":0.6,"TCHmain":0.6,"JEMA":0.6,"JADE":0.6,"EMCS":0.6,"EMC":0.6,"KWEB":0.6,"FDNI":0.6,"00700":1.98,"EEMX":0.6,"BIDD":0.6},"content_text":"8月12日晚间，腾讯控股（HK00700，股价461.60港元，市值4.19万亿港元）召开2026年第二季度业绩电话会。第二季度公司资本开支达到527.8亿元，同比大幅增长176%，算力采购成为投入核心。　　腾讯AI（人工智能）办公产品WorkBuddy用户规模、交互量领跑国内市场，其爆发式增长带动公司资源倾斜，AI相关投入规模持续走高。“因为我们发现WorkBuddy正在爆发式增长，所以我们果断地优先投入了它，同时降低了该新AI产品组合中其他一些产品的优先级。” 腾讯管理层在电话会上直面分析师提问，解读AI产品投入分配逻辑。他们认为，WorkBuddy的Token（词元）生产对腾讯而言具有最持久的经济价值。　　腾讯董事会主席马化腾在开场发言时表示，公司正从智能、应用、基础设施三层，构建一个全新的、AI赋能的腾讯，大幅增加的算力采购将有助于把应用及模型的使用转化为收入。　　财报显示，今年第二季度，腾讯总营收2047.9亿元，同比增长11%；Non-IFRS（非国际财务报告准则）经营利润756.4亿元，同比增长9%。若剔除新AI产品（以Hy、元宝、CodeBuddy、WorkBuddy及小微为主）的收入、成本及开支影响，Non-IFRS经营利润同比增长19%至861亿元。　　资本支出将优先瞄准训练更大、更好的混元系列模型 　　第二季度资本开支的爆发式增长，直接折射出腾讯在算力层面的积极布局。在AI相关算力分配优先级上，腾讯将很大一部分新算力投入到了两个方向：一是自研模型的加强；二是部署、推广自己的AI应用，并使其在中国市场占据领先地位。　　在电话会上，腾讯总裁刘炽平将全部资本开支划分为两大板块：一类是支撑游戏、广告、社交等存量成熟业务的常规投入，这部分业务仍具有高度的现金流生成能力；另一类是AI原生业务资本支出，是为确保模型训练所需的计算、为推理需求做准备以及构建其AI计算和AI云业务而需要的一次性大额投入。　　腾讯首席战略官詹姆斯·米切尔（James Mitchell）在电话会上进一步明确了资本支出的优先级：第一顺位就是在未来几个月内用于训练更大、更好的混元系列模型；其次则是为混元以及运行在WorkBuddy背后的其他模型提供推理支持。　　在经历从预训练到强化学习等基础设施的全面重建后，第二季度混元快速完成Hy3从preview到正式版的迭代，而计划近期上线的Hy4将进一步提升模型性能和多模态能力。模型能力提升带来了调用量的迅速攀升，以OpenRouter的Token消耗量计，Hy3自推出以来持续位列全球前三。此外，Hy3日均Token用量是preview版的7倍，反映了用户采纳提速、付费需求上升。　　面对未来更大参数规模的模型竞争，刘炽平透露，腾讯正在训练Hy4的更大参数版本，预计将于今年晚些时候发布。他强调，即将推出的Hy4将是一个体量更大的模型，实用性也将远超混元Hy3。腾讯将通过加速技术迭代，逐步逼近并最终达到行业最优水平（SOTA）。　　小微在成本方面的投资规模会小于过去一年在元宝上的投入 　　腾讯希望构建一个庞大而有价值的AI原生业态，包括应用、自有模型和计算能力，如混元大模型、元宝、WorkBuddy、微信原生AI助手“小微”等。　　在应用与消费端，腾讯同样展示出了清晰而审慎的资源配置逻辑。对于备受关注的小微，刘炽平在回应分析师提问时明确指出：“对于小微，成本方面的投资规模会小于过去一年我们持续在元宝上投入的体量，因此成本是完全可控的。而且随着用户体验不断完善，回报会开始显现，并且很快就能超过这笔投资。”　　作为微信生态内的重要AI嵌入，小微在今年6月上线并不断扩大灰测范围，入口从微信首页侧滑主入口延伸至朋友圈、公众号、视频号等更多场景。小微不仅能够帮助用户个性化地获取内容洞察，还可以利用微信小程序生态发现商品并下达指令，为“智能体与智能体（Agent-to-Agent）”的交易闭环奠定基础。　　刘炽平认为，从更长远的眼光来看，每个用户都会拥有专属的Agent，它们之间可以相互通信并完成交易。　　他还谈到端侧推理的探索，随着端侧算力日益强大，模型变得越来越高效，未来会有越来越多的推理任务直接在设备上完成。但在新AI基础设施的初期阶段，由于模型体量庞大，对算力的要求极高，而把足够强劲、成本低廉且能效比过关的算力塞进终端设备，在现阶段还无法完全实现，所以目前所有计算都集中在云端。不过，随着GPU（图形处理器）能力不断下放，未来每个人的手机和电脑都将具备强大的GPU算力。当这一天到来时，越来越多的推理将在端侧发生，行业也将回归到以软件和模型为核心的时代。　　“届时，运行模型和应用的投资回报率将会更高，因为算力的资本开支将不再完全由模型公司独自承担，而是由整个生态系统共同分担。我们坚信这一天终会到来，并正在为此进行架构上的布局与准备。”刘炽平表示。（文章来源：每日经济新闻）","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":false,"editions":null,"column":"","sentiment":"0","news_tag":"dataReport","news_rank":0,"isVideo":false,"video":null,"symbols":[],"gpt_button":1,"need_auth":false,"need_login_tip":false,"code":"91000000","status":"200"},"commentList":[],"isCommentEnd":true,"newsSizeData":{"likeSize":0,"commentSize":0,"repostSize":0,"favoriteSize":0,"likeStatus":false,"favoriteStatus":false},"APP":{"userAgent":"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)","isDev":false,"isTTM":false,"isLaohu8Offline":false,"tenantId":"TBCN","deviceId":"web-server-community-laohu8-v3","version":"4.44.1","shortVersion":"4.44.1","platform":"web","vendor":"web","appName":"laohu8","isIOS":false,"isAndroid":false,"isTiger":false,"isTHS":false,"isWeiXin":false,"isWeiXinMini":false,"isWeiBo":false,"isQQ":false,"isBaiduSwan":false,"isBaiduBox":false,"isDingTalk":false,"isToutiao":false,"isOnePlus":false,"isHuaWei":false,"isXiaomi":false,"isXiaomiWebView":false,"isOppo":false,"isVivo":false,"isSamsung":false,"isMobile":false},"href":"/m/news/2659834182","isCrawlerRequest":true}