微軟AI再次被「罵」出圈，一年狂砸上千億美元，為何還打不贏谷歌？

智能Pro

02/21

重要提醒！微信推薦機制大幅調整，大家務必將我們公衆號設為星標，否則很可能看不到推送了......作者：TSknight |監製：羅超最近的美國 AI 新聞是真不少，前有 OpenAI 的千億美元孖展計劃，後有 Gemini 3 Deep Think 的全球屠榜。在讓人感慨 AI 市場的資金之充裕和發展之迅速外，也有些不一樣的聲音出現，而主角恰恰是大家熟悉的微軟。前段時間，微軟宣佈將會在 ...

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20:05","share_image_url":"https://static.laohu8.com/9a95c1376e76363c1401fee7d3717173","id":"2613245689","market":"us","top_or_hot":-1,"title":"微軟AI再次被「罵」出圈，一年狂砸上千億美元，為何還打不贏谷歌？","media":"智能Pro","content":"<div>\n<p>重要提醒！微信推薦機制大幅調整，大家務必將我們公衆號設為星標，否則很可能看不到推送了......作者：TSknight |監製：羅超最近的美國 AI 新聞是真不少，前有 OpenAI 的千億美元孖展計劃，後有 Gemini 3 Deep Think 的全球屠榜。在讓人感慨 AI 市場的資金之充裕和發展之迅速外，也有些不一樣的聲音出現，而主角恰恰是大家熟悉的微軟。前段時間，微軟宣佈將會在 ...</p>\n\n<a href=\"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260221202647a4b958bb&s=b\">網頁鏈接</a>\n\n</div>\n","source":"tencent","html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>微軟AI再次被「罵」出圈，一年狂砸上千億美元，為何還打不贏谷歌？</title>\n<style 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href=\"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260221202647a4b958bb&s=b\">網頁鏈接</a>\n\n</div>\n\n<div class=\"bt-text\">\n\n\n<p> 來源：<a href=\"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260221202647a4b958bb&s=b\">智能Pro</a></p>\n<p>為提升您的閱讀體驗，我們對本頁面進行了排版優化</p>\n\n\n</div>\n</article>\n</div>\n</body>\n</html>\n","isBrief":false,"type":0,"news_type":1,"symbol":"SGXZ51526630.SGD","symbol_name":"大華環球創新基金A Acc SGD","start_time":0,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260221202647a4b958bb&s=b","article_id":"2613245689","we_media_id":null,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260221202647a4b958bb&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, 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Why can't it beat Google?","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"GOOP":0.6,"GOU":0.6,"MSFY":0.6,"GOOW":0.6,"GOOG":0.9,"MSFX":0.6,"GOOX":0.6,"USJW.SI":0.6,"GOOGL":1.95,"MSFT":1.98,"MSFW":0.6,"MSFU":0.6,"GOOY":0.6,"MSFO":0.6,"MSFL":0.6,"MSFD":0.6,"GGLS":0.6},"content_text":"重要提醒！微信推薦機制大幅調整，大家務必將我們公眾號設為星標，否則很可能看不到推送了......作者：TSknight |監製：羅超最近的美國 AI 新聞是真不少，前有 OpenAI 的千億美元孖展計劃，後有 Gemini 3 Deep Think 的全球屠榜。在讓人感慨 AI 市場的資金之充裕和發展之迅速外，也有些不一樣的聲音出現，而主角恰恰是大家熟悉的微軟。前段時間，微軟宣佈將會在 Windows 系統的開機引導和登入階段引入 Copilot，讓用户可以提前體驗 Windows 的 AI 功能。對於微軟的這個決定，不少網友反應激烈：開機階段本來就已經夠煩的了，現在還要再加個 Copilot 進來幹嘛？圖源：微軟倒也不怪網友們有如此激烈的反應，畢竟 Copilot 的使用體驗一直都無法兑現微軟此前的承諾，然後還要被微軟按着頭在各種地方使用這玩意，換誰來都得火大（國內用户可能感受不深，但是海外用户真是深受其害了）。海外一些網友對 Copilot 怨念極深，以至於在某個系統補丁出現 BUG、意外卸載了 Copilot 後，他們紛紛在論壇發帖嘲諷：「微軟終於做了一些有用的新功能給我們了」。估計是用户的呼聲實在太大，微軟在今年年初的更新裏增加了永久移除 Copilot 的方法，這個更新甚至讓 PCMag（極具影響力的 PC 媒體）用「終於可以卸載 Copilot」為標題做了一個教程。説實話，微軟能夠把 Copilot 折騰成這個樣子，也是出乎了不少人的預料。作為最早領投 OpenAI 的巨頭之一，微軟的 Copilot 也是最早接入 GPT 模型的智能助手，一度因為能夠提供免費的 GPT 付費模型體驗而走紅，小雷還記得當時我們做過一次體驗評測。圖源：雷科技按理説，微軟既有着全球最大的 PC 系統生態，又有着全球最強的 AI 大模型，應該可以贏得很輕鬆才對。但是事與願違，微軟在砸了一大筆錢研發 Copilot 後，突然發現自己的進度似乎還不如一些個人開發者自己搗鼓的多模態智能體。當然，你可以説這涉及到用户隱私保護、合規化設計等諸多難題，但是我們所有人都無法否認的一個事實就是：微軟正在 AI 生態中逐漸掉隊，而且這個「巨人」的夥伴們還有着各自的「小心思」。作為對比，同為科技巨頭的谷歌就在 AI 領域裏「大殺四方」，前段時間更是拿下了與蘋果的合作。這不僅打破了 OpenAI 在蘋果生態的獨佔，成功將 Gemini 塞入這個全球最大的單一智能生態，再加上谷歌對安卓系統的統治力，説 Gemini 即將一統移動市場都毫不誇張。同樣是全球科技大廠，同樣都在 AI 領域投入巨大，為什麼微軟和谷歌的 AI 業務卻呈現出截然不同的走向呢？微軟砸錢，事倍功半在小雷看來，首要的問題是成本。微軟的 Copilot 一直都以 GPT 大模型為 AI 底座，這也帶來了非常高的運營成本（OpenAI 的 token 價格全球最高）。即使有着 OpenAI 大股東、雲算力供應商等諸多身份，微軟與 OpenAI 也一直在成本等問題上存在分歧。另外，微軟的算力中心嚴重依賴英偉達的算力卡。在全球需求量激增的情況下，英偉達的算力卡價格也是水漲船高，進一步拉高了微軟的算力成本，這也導致微軟在投入了鉅額資金後，卻給人一種事倍功半的感覺。不過，OpenAI 是微軟目前還能保持「AI 優勢」的唯一依仗。所以即使有着各種矛盾，最終微軟也是做了讓步，不僅將重組持股降到 27%，還允許 OpenAI 引入其他算力供應商。圖源：微軟而 OpenAI 也承諾增加採購微軟的算力資源，至少在明面上保持着和諧。不過小雷覺得兩者多少有點「貌合神離」的味道。因為在前段時間，微軟的 AI 首席執行官 Mustafa Suleyman 明確表示，微軟正在加速訓練自己的基礎模型，目標是實現「自給自足」，擺脱對 OpenAI 的依賴。反觀谷歌，雖然也在四處出擊，投資那些 AI 獨角獸，卻也在持續加碼自研的基礎大模型 Gemini。並且在 AI 浪潮到來之前，谷歌就已經開始大規模部署自研的算力芯片，用來降低數據中心的建設成本。這讓谷歌在全球算力卡緊缺的情況下，仍然能以更低的成本搭建算力中心。此外，谷歌自研的 TPU 集羣在能效上的出色表現，也使其能夠用更低的成本應付上億用户的持續訪問。所以谷歌才能在 OpenAI、Claude 等 AI 大廠上線高價會員後，通過「免費 Pro 會員」來瘋狂搶佔市場。不僅如此，針對企業的辦公需求，谷歌還在 Workspace 辦公套件裏用低訂閲價格提供進階版的 AI 服務。以最多企業訂購的 Business Standard 方案為例，雖然基礎月費上谷歌比微軟貴了 2-4 美元/月（微軟將在 7 月份漲到同價格），但是微軟的 AI 插件功能需要額外支付 21 美元/月，谷歌則是免費提供。圖源：谷歌每人每月數十美元的支出差距可不是小數目，特別是對於本身利潤就單薄的中小型企業來説，只要兩者的體驗區別不是很大，那麼谷歌無疑是更好的選擇。而且，谷歌還把 AI 基礎服務直接打包進 Workspace 的原有高階訂閲計劃裏，用户無需再支付額外的費用即可使用。説白了，谷歌就是用免費使用來潛移默化地影響用户，當你習慣了 Gemini 在 Gmail 等一系列日常工具中的存在時，就很難再轉到別的 AI 生態了（特別是對於企業而言）。而谷歌之所以能夠用低價搶佔市場，其根本原因就是「自研模型 + 自研算力集羣」，這一點是微軟難以企及的。單槍匹馬，不如團隊作戰首先必須要肯定的是，在 OpenAI 的大模型加持下，Copilot 的日常體驗其實還可以，特別是在問答、解析以及輔助寫作等方面都表現不錯。而且用户現在仍然可以通過 Copilot 獲得免費的 GPT-5 模型額度，甚至提供了深入研究等選項 ChatGPT 裏付費用户才能使用的功能，微軟的「慷慨」讓 Copilot 至今仍有過億的月活。雖然從體驗和用户活躍度來看，Copilot 並不算失敗，但是它的表現顯然沒有達到大家的預期。用户希望擁有的是一個可以幫忙幹活、做事、甚至直接操作電腦的 AI 助手，而非一個「看着螢幕指揮我點哪裏」的語音助手。對，微軟確實上線了支持螢幕分析的模式，但是該模式下 AI 只能告訴你螢幕上有什麼，然後根據你的需求幫你分析螢幕上的文字含義和按鈕的用途，再指揮你操作電腦。喔，我的上帝，這真是一個偉大的發明。你説我們是否可以給這個模式加入一些協助點擊功能呢？那麼就不用坐在電腦前等着 AI 慢悠悠地把話説完，然後再操作。考慮到微軟從 2024 年開始到現在已經投入了一千多億美元，這個要求應該不過分吧？圖源：雷科技你説用户隱私必須得到確保？那請問 Recall 是什麼情況？保存並記錄用户過去的所有瀏覽和操作記錄豈不是更加離譜？説白了，微軟的開發者就給我一種左右腦互搏的感覺，他們既可以在 Recall 上給出恐怖的高權限，又能在 Copilot 這樣的常用助手上鎖死操作權限。曾經還有人嘲諷谷歌船大難掉頭，現在看來微軟才是真的「難掉頭」的那個。Copilot 的功能開發明顯受限於 Windows 系統的安全保障，作為用户對於微軟的謹慎態度自然是支持的，但是這也無疑減緩了他們在 AI 生態層面的進度。作為對比，谷歌並沒有在這些吃力不討好的 AI 功能上花費太多心思，而是將研發資金投入到基礎模型的迭代升級上，然後做好 API 接口，自然會有別的開發者來幫谷歌解決軟件生態層面的問題。谷歌的自信則是源自 Gemini，作為首個真正的「原生多模態」AI 大模型，Gemini 可以更簡單地處理多模態信息，這也是其在 AI 生圖、AI 生視頻等領域可以快速彎道超車的原因。圖源:谷歌而對於開發者來説，Gemini 的這個特性也讓他們不需要處理複雜的多模態轉化問題，並且不需要使用 GPT-4o 以上的模型就能得到原生多模態模型的性能，其背後的成本差距就更大了。另外，把合規化和隱私等問題丟給第三方開發者解決，雖然有甩鍋的嫌疑，但是對於谷歌這樣的科技巨頭來説顯然可以省去很多麻煩。或許是意識到了純雲端架構與系統深度捆綁的侷限性，從去年開始，微軟也與聯想、惠普等頭部 PC 企業展開合作，部署深度優化的端側 AI 軟件來完善體驗。可見再難掉頭的船，在撞了「冰山」後，還是懂得另尋出路的。現在論勝敗還為時過早不過，若是因為微軟在最近兩年的 AI 競賽中表現不佳，就斷言微軟失敗的話，恐怕有點操之過急了。在小雷看來，目前微軟的種種碰壁，一是因為成本過高，二是因為智能體技術還不成熟，而這兩個問題的解法都已經有了苗頭。首先是算力問題，目前 Copilot 的最大問題是對雲端算力的高度依賴，導致算力成本居高不下。想要解決這個問題，關鍵在於兩點：1、優化雲端成本；2、強化端側算力。前者微軟已經在着手解決，這裏就不再重複；後者則主要依靠英特爾等芯片廠商。而從去年開始，他們就已經推出了多款具備高算力特性的處理器。特別是 AMD，直接把平台綜合端側算力幹到了接近 200 TOPS，已經滿足中輕度的 AI 大模型本地運行需求。另一方面，英偉達的顯卡端側算力也在飛快膨脹。以 RTX 5070 為例，其稀疏算力對比前代直接翻倍，在桌面端就已經擁有接近 1000 TOPS 的算力，超過了前代的 RTX 4080 Super。單從算力來説，已經可以滿足多數 AI 模型的推理需求，唯一的問題只在於顯存。對於微軟來説，他們只需要等到硬件廠商把端側算力捲上來，就可以大幅度縮減雲端算力的佔比，而端側算力甚至可以説是「零成本」的。當然，端側算力並非微軟專用，但是作為 Windows 系統的掌舵者，微軟依然是各家都繞不開的核心節點。所以，現在就談論勝敗還為時尚早。只要微軟還手握 PC 終端這個最大的 AI 算力分發入口，就隨時保留着重回棋桌的入場券。#微軟#谷歌關注&設星標，兩步不失聯","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"-1","news_tag":"","news_rank":0,"symbols":[],"gpt_button":0,"need_auth":false,"code":"91000000","status":"200"}}}