内容来源：https://blog.google/company-news/inside-google/message-ceo/alphabet-earnings-q1-2026/

内容总结：

谷歌母公司Alphabet发布2026年Q1财报：AI投资驱动全线业务增长

核心要点： 谷歌母公司Alphabet在2026年第一季度交出了一份亮眼成绩单。首席执行官桑达尔·皮查伊表示，公司在人工智能领域的投资和全栈式策略正全面带动业务增长。

广告与搜索业务持续强劲

搜索及其他广告业务收入同比增长19%。AI模式（AI Mode）和AI概览（AI Overviews）等人工智能体验深受用户喜爱，带动搜索使用率回升。

云业务爆发式增长

谷歌云业务本季度表现尤为突出，收入同比增长63%，首次突破200亿美元大关。积压订单环比近乎翻倍，达到4600亿美元以上。其中，企业级AI解决方案首次成为云业务主要增长动力，基于生成式AI模型的产品收入同比增长近800%。

• 新客户获取速度同比翻倍
• 1亿至10亿美元级交易数量同比增长一倍
• 现有客户实际使用量超过初始承诺45%

订阅业务创历史新高

消费者AI套餐订阅量创下最强季度表现，主要受Gemini应用推动。整体付费订阅数已达3.5亿，YouTube和Google One是主要增长引擎。

AI模型高速演进

• 自研AI模型每分钟处理超160亿个token（上季度为100亿）
• Gemini 3.1 Pro在推理、多模态理解和成本方面持续突破
• Lyria 3音乐模型已生成超1.5亿首歌曲
• Nano Banana 2图像模型产出10亿张图片，速度比上一代快近一倍
• 开源模型Gemma 4上线数周下载量超5000万次

YouTube持续壮大

美国客厅场景日均观看量超2亿小时。短视频频道数量突破1000万个。YouTube Music和Premium订阅用户实现自2018年服务上线以来最大季度增幅。

其他亮点

• Waymo自动驾驶已在美国11个主要城市运营，每周完成超50万次完全自动驾驶出行，不到一年翻倍
• 人工智能基础设施持续推进，包括发布第八代TPU芯片，性能大幅提升
• 完成对云安全AI平台Wiz的收购，业绩超出预期

皮查伊总结道：“这是Alphabet一个出色的开局。面对众多机遇，我们不会放慢脚步。”公司将于5月19日举办年度开发者大会I/O，届时将分享更多进展。

中文翻译：

2026年第一季度财报电话会议：CEO致辞
编者按：在今日的2026年第一季度财报电话会议上，谷歌及Alphabet CEO桑达尔·皮查伊总结了今年出色的开局，强调我们的AI投资与全栈方法正全面激活各项业务。以下为其发言的编辑整理稿。

本季度对Alphabet而言堪称卓越。上周的Cloud Next大会充分展现了我们的发展势头，而五月还将迎来I/O、Brandcast及Google营销峰会等更多精彩活动。期待各位届时关注我们的进展。

显而易见，我们的AI投资与全栈方法正驱动全线业务增长。

• 搜索及其他广告业务收入增长19%。用户喜爱AI模式、AI概览等体验，回流搜索频次显著提升。
• 得益于AI产品与基础设施的强劲需求，本季度云业务加速增长。
• 收入增长63%，首次突破200亿美元；积压订单环比近乎翻倍，超过4600亿美元。
• Gemini Enterprise呈现迅猛势头，付费月活用户环比增长40%。
• 订阅业务方面，本季度消费端AI套餐表现创历史最佳，主要受Gemini应用采纳推动。付费订阅总数已达3.5亿，YouTube与Google One为关键驱动力。
• AI模型势能强劲。自有模型通过客户直接API调用，每分钟处理量从上季度的100亿token增至160亿token以上。

全栈AI方法

AI基础设施

AI基础设施是全栈方法的基础，驱动客户增长与产品采纳。

• 自研TPU、Axion CPU及最新NVIDIA GPU持续构成业界最广泛的算力选择。
• NVIDIA GPU是我们AI加速器组合的核心部分。继已上线的Blackwell和Hopper实例后，我们将首批提供NVIDIA Vera Rubin NVL72。
• Cloud Next上，我们推出第八代TPU：针对训练与推理分别优化，可承载最复杂的智能体工作负载。
• TPU 8t提供高性能模型训练，处理能力达Ironwood的三倍、性能提升两倍。
• TPU 8i实现经济高效的低延迟推理，单位成本性能较前代提升80%。

世界级研究

卓越基础设施支撑世界级AI研究，涵盖模型与工具，进展持续向好。

• Gemini 3.1 Pro持续突破推理、多模态理解与成本边界。
• 我们快速拓展Gemini 3.1系列模型，为开发者提供更多选择，包括高性价比的Flash模型。
• 3.1 Flash Live（最新音频模型）提升精度与推理能力，语音交互更自然直观，现已驱动搜索及Gemini应用的对话功能。语音转文字支持70种语言。
• 依托3.1 Pro，Deep Research智能体获得重大升级，包括MCP支持与原生可视化。
• 生成式媒体模型广受欢迎：
  • Lyria 3上线Gemini应用后已创作超1.5亿首歌曲。
  • Nano Banana 2生成十亿张图像耗时仅为Nano Banana 1的一半。
  • Veo 3.1 Lite为目前最高性价比视频模型。
• 此外，我们发布最智能开源模型Gemma 4，数周内下载量超5000万次；开源模型总下载量已突破5亿次。
• 展望未来，我们将聚焦基础模型的下一前沿，涵盖智能、智能体与智能体编程。
• 我们正运用最新技术变革公司内部工作方式。例如通过Antigravity推进真正智能体化工作流：工程师现可编排完全自主的数字任务团队，开发速度显著提升。更多创新即将到来。

产品与平台

接下来，我们通过产品与平台，让数十亿用户每日受益于实用AI。

• 年初推出个人智能功能，可生成更个性化、更有用的回答。现已覆盖Gemini应用、AI模式及Chrome中的Gemini。早期反响良好；本月整合Nano Banana 2，实现Gemini应用内个性化图像生成。
• 地图近期获十余年最大升级，集成Gemini后支持对话式交互，提供个性化建议与直观导航。
• Pixel 10a上市获好评，集成Gemini Live、AI相机等谷歌AI核心功能。

搜索

AI持续推动搜索使用量，查询量达历史峰值。

• 我们持续投资优化AI概览，驱动搜索整体增长；全球范围内AI模式的用户与使用量均强劲增长。
• 个人智能功能在美国广泛推广，用户提出更多私人化问题，并获得专属相关回复。
• 智能体体验（如餐厅预订）拓展至新国家；全球推出Search Live等新多模态能力。
• 效率与速度持续提升：过去五年搜索延迟降低超35%；AI概览与AI模式升级至Gemini 3后，核心AI响应成本因硬件与工程突破降低超30%。
• I/O大会将分享更多搜索进展。

Google Cloud

Google Cloud的差异化优势在于：我们是唯一提供全企业AI堆栈自有解决方案的供应商。收入、运营利润率与积压订单的增长印证了这一点。企业AI解决方案首次成为云业务首要增长驱动力。第一季度，基于GenAI模型的产品收入同比增长近800%。

• 新客户获取速度加快，同比翻倍。
• 大单势头强劲：1亿至10亿美元级别交易数量同比翻倍，并签署多个超10亿美元订单。
• 现有客户关系深化：客户实际使用量超出初始承诺45%，环比加速。
• 上周Cloud Next推出数百项新能力，覆盖垂直优化AI堆栈，专为企业客户协同设计。
• 全新Gemini Enterprise Agent平台：支持用户构建、编排、治理与优化智能体，满足企业级管控需求。
• Gemini Enterprise应用新增Projects、Canvas、Long Running Agents、Skills等能力，每位员工均可构建智能体。
• Q1 Gemini Enterprise付费月活用户环比增长40%，涵盖博世、花旗财富、默克、玛氏等全球品牌。
• 合作伙伴生态系统对推动采用至关重要：合作伙伴售出的席位数及内部采用该平台的合作伙伴数量均同比增长9倍。
• 势头推动模型用量加速：过去12个月，330家Google Cloud客户各处理超1万亿token；35家突破10万亿token门槛。
• 为赋予智能体企业数据上下文以智能推理，我们推出全新Agentic Data Cloud，包含跨云湖仓、Knowledge Catalog及结合研究与分析能力的Deep Research Agents。
• 例如，美国运通利用数据云将企业数据平台及数百个生产应用迁移至BigQuery，实现规模化智能体商业。沃达丰正主动解决故障、自动化网络规划并精准定位容量需求。
• 企业数据对智能体推理至关重要。BigQuery与Gemini Enterprise的协同使BigQuery中由Gemini驱动的工作流同比增长超30倍。
• 随着AI模型带来的网络安全威胁加速，我们的AI与网络安全专长推动智能体防御产品需求旺盛。三月完成对领先云安全AI平台Wiz的收购，完美契合当前需求。客户对独特网络安全与AI产品服务兴趣浓厚。Wiz表现超预期，结合谷歌威胁情报、安全运营及AI模型，助力组织检测、预防与应对威胁。
• 推出基于Gemini的威胁检测、持续红队演练与自动修复智能体，保护代码与云系统。
• 德勤、Priceline、壳牌等客户正借助智能体防御强化安全态势。
• 所有这一切均由前述AI基础设施驱动：TPU在性能、成本与能效上持续领先，服务Thinking Machines Lab、Hudson River Trading、波士顿动力等客户。随着AI实验室、资本公司及高性能计算应用对TPU需求增长，我们将向精选客户交付部署于其自建数据中心的TPU硬件配置，拓展可触达市场。

YouTube

YouTube势头延续。

• 美国家庭客厅端每日观看超2亿小时YouTube内容。
• 截至三月，每日发布Shorts的频道数突破1000万。这一活跃度印证用户对内容的喜爱及创作者工具易用性的提升。
• Q1 YouTube Music与Premium的非试用订阅用户增量创历史新高（全球及美国均如此），为2018年6月YouTube Premium上线以来最佳季度。
• 敬请关注5月13日的Brandcast活动。

其他押注

最后聚焦其他业务。

• Waymo发展势头良好：数周前于纳什维尔启动运营，2026年迄今新增6城，覆盖美国11个主要城市。每周全自动驾驶出行量超50万次，不到一年实现翻倍。
• Wing携手沃尔玛、DoorDash持续拓展美国业务，并宣布进军湾区计划。

总之，今年开局出色。面对诸多重大机遇，我们不会放慢脚步。衷心感谢全体员工与合作伙伴！
5月19日I/O大会见！

英文来源：

Q1 2026 earnings call: Remarks from our CEO
Editor’s note: On today’s Q1 2026 earnings call, Google and Alphabet CEO Sundar Pichai recapped a terrific start to the year, with our AI investments and full-stack approach lighting up every part of the business. Below is an edited transcript of his remarks.
It was a terrific quarter for Alphabet. Our momentum was on full display at Cloud Next last week, and the month of May brings even more with I/O, Brandcast and Google Marketing Live. I hope you’ll tune in to see our progress.
It’s clear that our AI investments and full-stack approach are driving performance across our business.

• In Search & Other Advertising, revenue grew 19%. People love our AI experiences like AI Mode and AI Overviews, and they're coming back to Search more.
• Cloud accelerated again this quarter due to strong demand for our AI products and infrastructure.
• Revenue grew 63%, exceeding $20 billion for the first time, and our backlog nearly doubled quarter-on-quarter to over $460 billion.
• Gemini Enterprise is seeing tremendous momentum, with 40% growth quarter-over-quarter in paid monthly active users.
• In subscriptions, this was our strongest quarter ever for our consumer AI plans, primarily driven by adoption of the Gemini app. Overall the number of paid subscriptions has now reached 350 million, with YouTube and Google One being the key drivers.
• And our AI models have great momentum. Our first-party models now process more than 16 billion tokens per minute via direct API use by our customers, up from 10 billion last quarter.
  Full-stack approach to AI
  AI infrastructure
  Our AI infrastructure is the foundation of our full-stack approach to AI, driving customer growth and product adoption.
• Our custom TPUs, Axion CPUs and the latest NVIDIA GPUs continue to form the industry’s widest variety of compute options.
• NVIDIA GPUs are a core part of our AI accelerator portfolio, and we will be among the first to offer NVIDIA Vera Rubin NVL72, in addition to the Blackwell- and Hopper-based instances already available.
• At Cloud Next, we introduced our eighth-generation TPUs, individually specialized for training and serving, and able to take on the most demanding agentic workloads.
• TPU 8t provides high-performance model training with three times the processing power of Ironwood and two times the performance.
• TPU 8i delivers cost-effective, low-latency inference, with 80% better performance per dollar than the prior generation.
  World-class research
  This exceptional infrastructure powers our world-class AI research. That includes models and tooling, which continue to progress really well.
• Gemini 3.1 Pro continues to push the frontier in reasoning, multimodal understanding and cost.
• We've quickly expanded the Gemini 3.1 series of models to offer more choices for developers, including our cost-efficient Flash models.
• 3.1 Flash Live, our latest audio model, has improved precision and reasoning, making voice interactions more natural and intuitive. It's now powering conversational features in Search and the Gemini app. Speech-to-text is now available in 70 languages.
• And with 3.1 Pro, our Deep Research agent got a big upgrade, including MCP support and native visualizations.
• Our generative media models are incredibly popular.
• Lyria 3 has generated over 150 million songs since launching on the Gemini app.
• Nano Banana 2 reached one billion images in nearly half the time of Nano Banana 1.
• And Veo 3.1 Lite is our most cost-efficient video model to date.
• On top of this, we launched Gemma 4, our most intelligent open model. It’s been downloaded over 50 million times in just a few weeks. In fact, our open models have now been downloaded over 500 million times.
• Looking ahead, we’re focused on pushing the next frontiers of foundation models, including intelligence, agents and agentic coding.
• And we are using the latest technologies to transform how we work as a company. For example with Antigravity, we are shifting to truly agentic workflows. Our engineers are now orchestrating fully autonomous digital task forces, and building at a faster velocity. There’s much more to come.
  Products and platforms
  Next, we are bringing helpful AI into the hands of billions of people every day through our products and platforms.
• Earlier this year, we introduced Personal Intelligence, which helps people get more personalized and helpful responses. It’s now in the Gemini app, AI Mode and Gemini in Chrome. Early traction has been good, and this month we integrated Nano Banana 2 to make personalized image creation possible in the Gemini app.
• Maps recently got its most significant upgrade in over a decade with Gemini. Users can now have a conversation with Maps, and get more personalized suggestions and intuitive directions.
• And the Pixel 10a launched to positive reviews, providing the best of Google’s AI features like Gemini Live and AI-powered camera features.
  Search
  AI continues to drive search usage and queries are at an all-time high.
• We continue to invest in improvements to AI Overviews, which are driving overall Search growth, and we are also seeing strong growth in both users and usage of AI Mode globally.
• Personal Intelligence expanded broadly in the U.S. and we’re seeing people ask more personal questions, and getting responses that are uniquely relevant to them.
• We also shipped agentic experiences, like restaurant booking, to new countries and new multimodal capabilities like Search Live globally.
  We’re also continuing to improve efficiency and speed.
• Even as we’ve brought new AI features into our results page, we’ve reduced Search latency by more than 35% over the past five years.
• And since upgrading AI Overviews and AI Mode to Gemini 3, we’ve reduced the cost of core AI responses by more than 30% thanks to continued hardware and engineering breakthroughs.
  We are excited to share more about Search at I/O.
  Google Cloud
  Google Cloud is differentiated because we are the only provider to offer first-party solutions across the entire enterprise AI stack. Our growth in revenue, operating margin and backlog highlights this differentiation. Our enterprise AI solutions have become our primary growth driver for Cloud for the first time. In Q1, revenue from products built on our gen AI models grew nearly 800% year-over-year. We are:
• Winning new customers faster, with new customer acquisition doubling compared to the same period last year.
• We are seeing strong deal momentum, doubling the number of $100 million to $1 billion deals year-on-year, and signing multiple billion-dollar-plus deals.
• And we are deepening relationships with existing customers, with customers outpaced their initial commitments by 45%, accelerating over last quarter.
  At Cloud Next last week, we introduced hundreds of new capabilities across our vertically optimized AI stack that are designed to work together for our enterprise customers.
  We introduced a new Gemini Enterprise Agent Platform that empowers users to build, orchestrate, govern and optimize agents with the controls that enterprise customers need.
• Along with new capabilities in Gemini Enterprise app — like Projects, Canvas, Long Running Agents and Skills – every employee can build agents.
• In Q1, Gemini Enterprise paid monthly active users grew 40% quarter-over-quarter. That includes major global brands like Bosch, Citi Wealth, Merck and Mars, Inc..
• Our partner ecosystem plays an increasingly critical role in driving Gemini Enterprise adoption. We saw 9x year-over-year growth both in seats sold with partners, and in the number of partners adopting it for internal use.
  This momentum is leading to accelerating usage of our models.Over the past twelve months, 330 Google Cloud customers each processed over 1 trillion tokens. Thirty-five reached the 10-trillion-token milestone.
  To give agents business context from enterprise data to help them reason intelligently, we introduced a new Agentic Data Cloud. It includes a cross-cloud lakehouse, Knowledge Catalog and Deep Research Agents which combine research and analytical skills.
• As an example, using our data cloud, American Express is enabling agentic commerce at scale by moving an enterprise data platform along with hundreds of production applications to BigQuery. Vodafone is proactively resolving outages, automating network planning and precisely targeting capacity.
• Enterprise data has become critical for agents to reason. Our strength with BigQuery and Gemini Enterprise has led Gemini-powered workflows in BigQuery to grow over 30X year-over-year.
  As cybersecurity threats from the use of AI models accelerate, our expertise in AI and Cybersecurity is driving strong demand for our agentic defense offerings. In March, we closed the acquisition of Wiz, a leading cloud and security AI platform, which is an incredible fit for the moment we are in. We’ve seen tremendous interest from customers in our unique cybersecurity and AI products and services to protect their IT estate. The performance of Wiz so far has exceeded our expectations. Together with Google’s Threat Intelligence, Security Operations and AI models, Wiz is helping organizations detect, prevent and respond to threats.
• We introduced new Gemini-powered agents for threat detection, continuous red teaming and automated remediation to protect software code and Cloud systems.
• Customers like Deloitte, Priceline and Shell are using our agentic defense to strengthen their security posture.
  All of this is powered by the AI infrastructure I mentioned earlier.
• Our TPUs continue our leadership in performance, cost and power efficiency for customers like Thinking Machines Lab, Hudson River Trading and Boston Dynamics.
• As TPU demand grows from AI labs, capital markets firms and high-performance computing applications, we will begin to deliver TPUs to a select group of customers in their own data centers in a hardware configuration to expand our addressable market opportunity.
  YouTube
  Our momentum continues with YouTube.
• In the living room, U.S. viewers are watching over 200 million hours of YouTube content daily.
• And as of March, we’ve reached a new milestone with over 10 million channels now publishing Shorts each day. This level of daily activity is a testament to how people enjoy this content and how we’ve made it easier for creators.
• And in Q1, our YouTube Music and Premium offering saw its largest quarterly increase in the total number of non-trial subscribers, both globally and in the U.S., since YouTube Premium launched in June 2018.
• I hope you’ll tune in to Brandcast on May 13.
  Other Bets
  Finally, let’s move on to Other Bets.
• Waymo is on a great trajectory. It launched in Nashville a few weeks ago. That makes six new cities so far in 2026, and operations in 11 major U.S. cities in total. Waymo also surpassed 500,000 fully autonomous rides per week, doubling in less than a year.
• Wing continues to expand across the U.S. in partnership with Walmart and DoorDash, and announced plans to operate in the Bay Area.
  In summary, a terrific start to the year. With so many great opportunities ahead, we’re not slowing down. Huge thanks to all our employees and our partners.
  See you at I/O on May 19!