---
title: "Q1 2026 earnings call: Remarks from our CEO"
source_name: "The Keyword (blog.google)"
original_url: "https://blog.google/company-news/inside-google/message-ceo/alphabet-earnings-q1-2026/"
canonical_url: "https://www.traeai.com/articles/e620c543-596e-43f5-9f90-2d436f07f579"
content_type: "article"
language: "英文"
score: 5
tags: ["Alphabet","财报","Sundar Pichai"]
published_at: "2026-04-29T20:45:00+00:00"
created_at: "2026-04-30T03:24:24.471411+00:00"
---

# Q1 2026 earnings call: Remarks from our CEO

Canonical URL: https://www.traeai.com/articles/e620c543-596e-43f5-9f90-2d436f07f579
Original source: https://blog.google/company-news/inside-google/message-ceo/alphabet-earnings-q1-2026/

## Summary

本文是Alphabet公司2026年第一季度财报电话会议中CEO Sundar Pichai的讲话，主要回顾了公司的业绩和未来展望。

## Key Takeaways

- Alphabet在Q1 2026取得了稳健的财务表现。
- 公司在AI和创新领域持续投入。
- 强调了对可持续发展和社会责任的承诺。

## Content

Title: Q1 2026 earnings call: Remarks from our CEO

URL Source: http://blog.google/company-news/inside-google/message-ceo/alphabet-earnings-q1-2026/

Published Time: 2026-04-29T20:45:00+00:00

Markdown Content:
# Alphabet earnings call, Q1 2026: Sundar Pichai’s remarks

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# Q1 2026 earnings call: Remarks from our CEO

Apr 29, 2026

·

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* * *

* * *

In this story

In this story

* * *

*   [Introduction](http://blog.google/company-news/inside-google/message-ceo/alphabet-earnings-q1-2026/#introduction)
*   [Full-stack approach to AI](http://blog.google/company-news/inside-google/message-ceo/alphabet-earnings-q1-2026/#full-stack-approach-ai)
*   [Search](http://blog.google/company-news/inside-google/message-ceo/alphabet-earnings-q1-2026/#search)
*   [Google Cloud](http://blog.google/company-news/inside-google/message-ceo/alphabet-earnings-q1-2026/#google-cloud)
*   [YouTube](http://blog.google/company-news/inside-google/message-ceo/alphabet-earnings-q1-2026/#youtube)
*   [Other Bets](http://blog.google/company-news/inside-google/message-ceo/alphabet-earnings-q1-2026/#other-bets)

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**_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.

![Image 2: Q1 Earnings Highlights showing growth across Search, Cloud, AI tokens, paid subscriptions, and Waymo autonomous rides.](https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Q1Earnings_SP.width-100.format-webp.webp)

## 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!

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