Alphabet

Scaling
  • 204,757 staff
  • Gemini on its own TPUs
  • ~75% of new code AI-generated
  • AI sales tools: $100Ms of revenue (Oct 2025)

Alphabet deploys AI inside Google mostly with tools it builds: Gemini models on its own TPUs, the Antigravity agent platform and internal coding agents such as Agent Smith, with Anthropic's Claude Opus 5 added for engineers on a quota in Sep 2026. Sundar Pichai said in Apr 2026 that about 75% of new code at Google is AI-generated and approved by engineers. Philipp Schindler said in Oct 2025 that Gemini tools for ad sellers raised their productivity over 10% and added hundreds of millions of dollars in revenue.

abc.xyz

Their approach to AI

The platform
Alphabet builds its internal AI tools itself: Gemini models, the Antigravity agentic development platform, coding tools such as Cider, Jetski and Agent Smith, and a Gemini chatbot trained on Google's own documentation; Koray Kavukcuoglu was uniting the coding tools under Antigravity in Apr 2026.
The models
Google says Gemini remains the primary model for internal development; since Sep 2026 every engineer can use Anthropic's Claude Opus 5 inside Antigravity on a per-user quota, while Claude Code and OpenAI's Codex stay barred for most staff (Business Insider, Bloomberg).
The reach
Google reports adoption by group, not company-wide: about 75% of new code was AI-generated in Apr 2026, and 83% of the sales team used Gemini-assisted tools weekly in Jul 2026; Alphabet had 204,757 employees on Sep 30, 2026.
The catch
Alphabet credits AI with returns in ad sales and engineering, but reports no firm-level AI figure, no company-wide count of weekly AI users, and headcount that grew 7.7% in the year to Sep 2026.

Snapshot

Employees
204,757
Sep 30, 2026, up from 190,167 a year earlier (Q3 2026 earnings release)
Capital expenditure
$91.4B (2025)
2026 guidance $195B to $205B, mostly AI technical infrastructure
AI/ML headcount
Not disclosed
R&D expense was $61.1B in 2025, driven by compensation and depreciation (2025 Form 10-K)
Who owns AI
Sundar Pichai, CEO
Koray Kavukcuoglu, SVP of Google DeepMind and Chief AI Architect, unifies internal coding tools
Platform
Antigravity and in-house tools
Cider, Jetski, Agent Smith and an internal Gemini chatbot
Models
Gemini, plus Claude on a quota
Claude Opus 5 inside Antigravity for every engineer since Sep 2026
Reach
~75% of new code AI-generated
Apr 2026; 83% of the sales team uses Gemini tools weekly (Jul 2026)
Use cases
Engineering, sales, support, safety, security, finance
No company-wide count published

Key findings

  1. Alphabet credits AI with 2 business returns reported since May 2025: Gemini tools for ad sellers raised productivity over 10% and added hundreds of millions of dollars in revenue (Oct 2025), and AI raised engineering velocity an estimated 10% (Jun 2025); an AlphaEvolve heuristic also recovers about 0.7% of Google's worldwide compute (May 2025), a capacity gain with no dollar value.

  2. The share of new code at Google generated by AI and approved by engineers rose from more than a quarter in Oct 2024 to about half in fall 2025 and about 75% by Apr 22, 2026, and Sundar Pichai said in Oct 2026 that teams using Gemini 4 Argon internally ship 35% more code with 30% fewer errors.

  3. Google keeps most staff on its own Gemini models and tools: Bloomberg reported in Apr 2026 that most employees are barred from Claude Code and Codex for security reasons, and Business Insider reported in Sep 2026 that every engineer can now use Anthropic's Claude Opus 5 inside Antigravity on a per-user quota.

  4. Koray Kavukcuoglu, named Google's first Chief AI Architect in Jun 2025, became SVP of Google DeepMind on Aug 5, 2026 reporting to Sundar Pichai, while Demis Hassabis became chair of Google DeepMind and Alphabet's chief scientist.

  5. Alphabet's headcount rose 7.7% to 204,757 in the year to Sep 30, 2026, and Alphabet has not credited any job cuts to AI, though Anat Ashkenazi cites AI-generated code, fewer management layers and a voluntary exit program among its efficiency levers (Mar 2026).

Where Google sits

Stage
Scaling

Alphabet credits AI with business returns in 2 functions, both reported in the last 18 months, which places it at Scaling: Philipp Schindler said on Oct 29, 2025 that Gemini tools for Google's ad sales teams raised seller productivity by over 10% and led to hundreds of millions of dollars in incremental revenue; Google estimates that AI has raised engineering velocity about 10% across the company (Sundar Pichai, Jun 2025, restated by Google in Aug 2025). Google DeepMind's May 2025 report that an AlphaEvolve scheduling heuristic recovers about 0.7% of Google's worldwide compute is a capacity measure, not a currency return. On rollout, Google reports adoption by group: about 75% of new code is AI-generated (Apr 2026) and 83% of the sales team uses Gemini-assisted tools weekly (Jul 2026), while Koray Kavukcuoglu, SVP of Google DeepMind and Chief AI Architect, is uniting the internal coding tools under Antigravity, and Pichai and Schindler report results on earnings calls. Alphabet falls short of Embedded because Alphabet reports no firm-level cost, revenue or headcount effect it credits to AI, has not said how many of its 204,757 employees use AI each week, and grew headcount 7.7% in the year to Sep 30, 2026.

How the stages are defined
Ownership
CEO Sundar Pichai; Koray Kavukcuoglu, Chief AI Architect, unifies internal coding tools
Platform
Built: Gemini, Antigravity and internal coding agents, built in-house
Models
Gemini by default; Claude Opus 5 on a quota inside Antigravity
Hosting
Google's own data centers, predominantly on its TPUs, plus some leased capacity; Claude hosting for Antigravity not disclosed
Reach
~75% of new code AI-generated; 83% of sales staff weekly

How they deploy

Customer zero for its own models

Sundar Pichai wrote in Apr 2026 that Google always wants to be customer zero for its own technologies, and Alphabet runs its internal AI on the Gemini models, TPUs and agent tools it sells. A Google spokesperson said in Sep 2026 that Gemini remains the primary foundation model for internal development and that third-party models are offered on a quota for specialized use cases.

From code completion to agents

Google moved from an internal coding model, Goose, in Feb 2024 to AI that wrote more than a quarter of new code in Oct 2024 and about 75% in Apr 2026. Sundar Pichai said in Apr 2026 that Google is shifting to agentic workflows in which engineers orchestrate autonomous task forces of agents, and Sergey Brin wrote in an internal memo reported by The Information in Apr 2026 that Google must turn its models into primary developers.

One coding platform after fragmentation

Bloomberg reported in Apr 2026 that Gemini's coding capabilities were spread across half a dozen differently branded products and that some Google engineers preferred Anthropic's Claude Code. Koray Kavukcuoglu, Google's Chief AI Architect, is working with Google's main engineering team to unite the internal AI coding tools under Antigravity, and Google DeepMind formed a team led by Sebastian Borgeaud to build better coding models.

Productivity over headcount

Sundar Pichai told a Jul 2025 all-hands meeting that in this AI moment Google has to accomplish more by driving higher productivity instead of adding headcount, and Brian Saluzzo, then head of Google's core developer team, said Google felt urgency to get AI into more coding workflows. Pichai said in Jun 2025 that Google would still hire more engineers because the opportunity space is expanding.

Adoption as a job expectation

Google has moved AI use from encouraged to expected: engineering VP Megan Kacholia emailed engineers in Jun 2025 asking them to use AI for coding, Business Insider reported in Feb 2026 that non-technical staff were told AI use would count in reviews, and a Google spokesperson said managers have discretion to evaluate employees on their use of AI.

Deployment model
Alphabet deploys AI through central model and infrastructure groups with adoption pushed into every function. Google DeepMind, led since Aug 2026 by Koray Kavukcuoglu, builds the Gemini models and the developer teams' tools; the AI and Infrastructure organization under Amin Vahdat runs TPUs and data centers and started Project EAT in May 2025 to standardize AI tools inside that unit before a company-wide rollout; Google's core developer engineering team builds internal coding tools such as Cider. Business functions build their own agents on these models: the sales and ads support teams under Philipp Schindler, Trust & Safety, security operations, and finance, where Anat Ashkenazi described a treasury agent in Mar 2026.
Model providers
Alphabet runs its internal AI on its own Gemini models, including Gemini 4 Argon and Carbon, which Sundar Pichai said in Oct 2026 Google is deploying internally, and on internal coding models trained on Google's proprietary codebase that cannot be released publicly (The Information, Apr 2026). Google's only reported outside model is Anthropic's Claude: some Google DeepMind teams used Claude Code by Apr 2026, and since Sep 2026 every engineer can select Claude Opus 5 inside Antigravity on a per-user quota, while direct use of Claude Code and OpenAI's Codex stays barred for most staff.
Data and infrastructure
Alphabet runs internal AI in data centers it mostly builds itself, with some leased capacity (Anat Ashkenazi, Feb 2026), and Ashkenazi said in Mar 2026 that Alphabet uses predominantly TPUs internally, alongside the NVIDIA GPUs Google Cloud offers. Sundar Pichai said in Apr 2026 that just over half of Alphabet's 2026 machine learning compute investment would go to the Cloud business, leaving the rest for Google's own services and research, and Bloomberg reported that engineers using internal coding tools often hit capacity limits. Google restricts staff to approved internal AI systems partly to protect sensitive information (Business Insider, Feb 2026). Google has not said where the Claude models offered in Antigravity are hosted.

Platforms and internal tools

  • Gemini models

    Gemini is Google DeepMind's family of models and the primary foundation model for Google's internal development, according to a Google spokesperson in Sep 2026. Sundar Pichai said on Oct 28, 2026 that Google began deploying Gemini 4 Argon internally about 4 weeks earlier and is now deploying Gemini 4 Carbon internally.

    Models
    Gemini 4 Argon, Gemini 4 Carbon and earlier Gemini models

    Source

  • AntigravityNov 2025

    Antigravity is Google's agentic development platform, where agents plan and execute software tasks; Google sells it externally and uses it internally, and Koray Kavukcuoglu is uniting Google's internal AI coding tools under it (Apr 2026). Google's Gemini app for macOS was built with Antigravity, going from idea to a native Swift prototype in a few days (Apr 2026).

    Users
    More than 2.4 million weekly active users (Jul 2026)
    Models
    Gemini; Claude Opus 5 on a quota for Google engineers since Sep 2026

    Source

  • Agent SmithEarly 2026

    Agent Smith is an internal agent built on Antigravity that works in the background on coding and other tasks, reaches internal tools and documents, and takes instructions from employees' phones. Business Insider reported in Mar 2026 that access was restricted because of demand.

    Source

  • CiderMay 2025

    Cider is an internal AI coding tool that helps Google software engineers across the development process; Brian Saluzzo told staff in Jul 2025 that 50% of its users used it weekly.

    Source

  • Jetski

    Jetski is an internal Google AI coding tool; The Information reported in Apr 2026 that Google tracks employees' use of internal AI coding tools, runs mandatory training sessions and requires their use for certain tasks.

    Source

  • Goose and the internal Gemini chatbotFeb 2024

    Goose is an employee-only model derived from Gemini and trained on 25 years of Google engineering knowledge to answer questions about internal technology and write code on Google's stack (Business Insider, Feb 2024). Google staff also use a customized Gemini chatbot trained on company documentation (Business Insider, Feb 2026).

    Models
    Gemini-derived

    Source

  • AlphaEvolveDeployed internally from about 2024; announced May 2025

    AlphaEvolve is a Gemini-powered coding agent from Google DeepMind that designs algorithms; Google has deployed its results in data center scheduling, TPU circuit design and Gemini training kernels.

    Models
    Gemini

    Source

  • Security agents and CodeMender

    Google's security teams run agents that summarize tickets and analyze malicious code (Oct 2025); Security Operations Center agents triage tens of thousands of unstructured threat reports a month, and Gemini-based agents such as CodeMender find and fix software flaws (Apr 2026).

    Source

Vendors and partners

  • AnthropicSep 2026

    Claude Opus 5 for Google engineers inside Antigravity, on a per-user quota · Some Google DeepMind teams used Claude Code by Apr 2026 (Bloomberg); Google has invested billions of dollars in Anthropic.

  • WindsurfJul 2025

    Talent and a nonexclusive technology license that preceded Antigravity · Google paid $2.4 billion to bring in Windsurf's chief executive and other staff and license its AI coding technology (CNBC, Jul 2025; Bloomberg, Apr 2026).

  • NVIDIA

    GPUs alongside Google's own TPUs in its AI infrastructure · Anat Ashkenazi said in Mar 2026 that Alphabet uses predominantly TPUs internally.

  • Yoodli

    AI avatar tool adapted for Google Cloud sales teams to rehearse pitches · Reported by Business Insider in Feb 2026.

Leadership

AI, data and platform leaders

KK

Koray Kavukcuoglu

SVP, Google DeepMind, and Chief AI Architect

Koray Kavukcuoglu joined DeepMind in 2012 as a researcher, became its CTO, and was named Google's first Chief AI Architect, an SVP role reporting to Sundar Pichai, in Jun 2025. Kavukcuoglu became SVP of Google DeepMind on Aug 5, 2026, responsible for model development, AI research, Gemini and developer teams, and leads the effort to unite Google's internal coding tools under Antigravity.

DH

Demis Hassabis

Chair of Google DeepMind and Chief Scientist, Alphabet

Demis Hassabis co-founded DeepMind and ran Google DeepMind as CEO until Aug 2026, when Sundar Pichai made him chair of Google DeepMind and Alphabet's chief scientist focused on AGI and scientific discovery; Hassabis continues to lead Isomorphic Labs.

AV

Amin Vahdat

SVP and Chief Technologist, AI and Infrastructure

Amin Vahdat joined Google in 2010 as an engineering fellow and leads the AI and Infrastructure organization (AI2), which runs the data centers, chips and other infrastructure behind Google's AI; Google named him chief technologist for AI infrastructure reporting to Sundar Pichai in Dec 2025. Project EAT, a May 2025 effort to standardize AI tools for staff, started inside Vahdat's organization.

MK

Megan Kacholia

Vice President, Engineering

Megan Kacholia, a Google engineering vice president, emailed software engineers in Jun 2025 asking them to use AI to improve their coding (Entrepreneur, Aug 2025).

SB

Sebastian Borgeaud

Research engineer, Google DeepMind; leads a new AI coding team

Unconfirmed

Sebastian Borgeaud previously led pretraining at Google DeepMind and leads a team formed in 2026 to build better coding models for internal use, according to The Information and Bloomberg (Apr 2026).

Executives

SP

Sundar Pichai

CEO, Alphabet and Google

Sundar Pichai is CEO of Alphabet and Google and a director of Alphabet. Pichai reports Google's internal AI results himself, from more than a quarter of new code in Oct 2024 to about 75% in Apr 2026, and told staff in Jul 2025 that Google must accomplish more through productivity instead of adding headcount.

AA

Anat Ashkenazi

SVP and Chief Financial Officer, Alphabet and Google

Anat Ashkenazi became CFO of Alphabet and Google on Jul 31, 2024 after 23 years at Eli Lilly, where she was CFO from 2021. Ashkenazi cites AI-generated code, a treasury agent and fewer management layers among Alphabet's efficiency levers (Mar 2026).

PS

Philipp Schindler

SVP and Chief Business Officer, Google

Philipp Schindler joined Google in 2005 and oversees global sales for Google and YouTube and global technical and consumer operations. Schindler reported the Gemini sales tools' revenue result in Oct 2025 and the 83% weekly use by the sales team in Jul 2026.

Board

SB

Sergey Brin

Co-Founder and Director, Alphabet

Sergey Brin co-founded Google and sits on Alphabet's board. Brin told a sales town hall in Mar 2026 that agents would be a big focus that year and wrote in an internal memo reported in Apr 2026 that Google must close its gap in agentic execution.

AI org map

Central model and infrastructure groups; adoption pushed into every function

Alphabet has no single internal AI office. Google DeepMind, led since Aug 5, 2026 by Koray Kavukcuoglu, who reports to Sundar Pichai, builds the Gemini models and is uniting the internal coding tools under Antigravity; the AI and Infrastructure organization under Amin Vahdat, also reporting to Pichai, runs the compute; and Google's core developer engineering team builds tools such as Cider. Business functions such as sales, ads support, Trust & Safety, security and finance build their own agents on these models.

Alphabet does not disclose how many of its 204,757 employees work on AI. Google's AI work sits in Google DeepMind, which builds the Gemini models and developer tools under Koray Kavukcuoglu; the AI and Infrastructure organization under Amin Vahdat, which runs TPUs and data centers; and the core developer engineering team, which builds internal coding tools such as Cider. Bloomberg reported in Apr 2026 that Google DeepMind, Google Cloud, Google Core, Google Labs and Android were all pushing AI coding in different ways.

Reporting lines

  • CEO, Alphabet and Google

    Sundar Pichai

    • Google DeepMind

      Koray Kavukcuoglu, SVP and Chief AI Architect

      Model development, AI research, Gemini and developer teams (Aug 2026); Demis Hassabis chairs Google DeepMind

      • DeepMind AI coding team

        Sebastian Borgeaud

        Formed in 2026 to build coding models for internal use (The Information, Bloomberg)

    • AI and Infrastructure (AI2)

      Amin Vahdat, SVP and Chief Technologist

      Data centers, TPUs and other AI infrastructure; home of Project EAT

    • Core developer engineering

      Builds internal coding tools such as Cider inside the Google Core organization; Brian Saluzzo led it until early 2026, and the current leader and reporting line are not published

    • Global business organization

      Philipp Schindler, Chief Business Officer

      Sales teams and ads customer support using Gemini tools and agents

    • Finance

      Anat Ashkenazi, CFO

      Treasury agent across cash balances (Mar 2026)

Alphabet has not published who owns AI adoption outside engineering, or the reporting line of the core developer team after Brian Saluzzo left Google for Citi in Mar 2026. Bloomberg reported in Apr 2026 that confusion persisted over who leads AI coding inside Google.

Named people

Executive sponsors
  • Sundar Pichai

    CEO, Alphabet and Google

  • Anat Ashkenazi

    SVP and Chief Financial Officer · Describes AI efficiency levers, including a treasury agent, to investors

  • Philipp Schindler

    SVP and Chief Business Officer · Sales and ads support teams that use Gemini tools

  • Sergey Brin

    Co-Founder and Director

Google DeepMind and models

Google DeepMind also hosts the AI coding team formed in 2026.

  • Koray Kavukcuoglu

    SVP, Google DeepMind, and Chief AI Architect

  • Demis Hassabis

    Chair of Google DeepMind and Chief Scientist, Alphabet

  • Sebastian Borgeaud

    Research engineer leading an AI coding team

AI and Infrastructure
More than several thousand, per a Google spokesperson (Jan 2026)
  • Amin Vahdat

    SVP and Chief Technologist, AI and Infrastructure · Project EAT started in this organization in May 2025

Engineering productivity
  • Megan Kacholia

    Vice President, Engineering

Use cases

Alphabet has described about a dozen internal AI use cases across engineering, sales, ads support, Trust & Safety, security, marketing, recruiting and finance, without publishing a count. Alphabet credits AI with 2 returns: Gemini tools for ad sellers (hundreds of millions of dollars of incremental revenue, Oct 2025) and AI in software engineering (an estimated 10% rise in engineering velocity, Jun 2025). AlphaEvolve in data center scheduling recovers about 0.7% of worldwide compute (May 2025), an operating measure with no dollar value. Alphabet reports no firm-level return from its internal AI use; its other figures, such as 75% of ads support queries handled by agents, measure workload or speed.

Use caseAreaStatusROI
Gemini tools for ad sales teams

Google's sales teams use Gemini enriched with ads knowledge to prepare customer interactions and pitch narratives. 83% of the sales team used Gemini-assisted tools weekly in Jul 2026, with up to a 20% higher win rate when using customized pitch narratives, and some sellers have informal weekly usage quotas for call-recording and note-taking tools (Business Insider, Feb 2026).

Global business organizationIn productionHundreds of millions of dollars of incremental revenue, seller productivity up 10%+ (Oct 2025)Source
AI coding tools and agents

Google engineers write code with Cider, Jetski, Antigravity and the Agent Smith background agent, and about 75% of new code was AI-generated and approved by engineers in Apr 2026. Google reported a code migration completed 6 times faster than engineers alone managed a year earlier (Apr 2026), and Sundar Pichai said in Oct 2026 that teams in Chrome, Ads and Search using Gemini 4 Argon ship 35% more code with 30% fewer errors.

EngineeringIn productionEngineering velocity up an estimated 10% from AI, company-wide (Jun 2025)Source
AlphaEvolve in data center scheduling and model training

AlphaEvolve found a heuristic that helps Borg schedule work across Google's data centers, proposed a circuit change adopted in an upcoming TPU, and sped up a Gemini training kernel by 23%, cutting Gemini's training time by 1%. Google DeepMind said in May 2025 that the scheduling heuristic, in production for over a year, recovers about 0.7% of Google's worldwide compute resources on average.

AI and InfrastructureIn production
Agentic ads customer support

Google's ads customer support teams use Gemini-powered agents that autonomously handle 75% of support queries (Jul 2026); Google's customer support division had used Gemini-powered solutions in over 40 million customer sessions in 2025 by Oct 2025.

Global business organizationIn production
Gemini in ads policy enforcement

Google's 2025 Ads Safety Report says Gemini-based models helped block or remove 8.3 billion ads in 2025, cut incorrect advertiser suspensions by 80%, and let teams act on more than 4 times as many user reports (Apr 2026).

Trust & SafetyIn production
Security operations agents and CodeMender

Google's Security Operations Center agents triage tens of thousands of unstructured threat reports a month, which Google says cut threat mitigation time by more than 90%, and Gemini-based agents such as CodeMender find and fix critical software flaws (Apr 2026).

SecurityIn production
Bug triage agent

An AI agent automatically handles 12% of duplicate bugs at Google, and AI models help engineers find the source of problems faster (Aug 2025).

EngineeringIn production
Creative asset generation

Google's marketing teams used Gemini models to generate thousands of creative variations for the Gemini in Chrome launch, with 70% faster turnaround and 20% more conversions (Apr 2026), and Imagen produced 48% of the visuals in the Google I/O 2025 keynote slides.

MarketingIn production
RFP responses and lead filtering

An internal AI tool contributed to a 78% year-over-year rise in completed Google Cloud requests for proposals, and an AI lead-filtering tool raised lead-to-opportunity conversion 14% over a 6-week period (Aug 2025).

Google Cloud salesIn production
Treasury agent

Anat Ashkenazi said in Mar 2026 that Alphabet's finance team runs a treasury agent that works across the company's cash balances to maximize the return on them, and that it is yielding real financial results, without giving a figure.

FinanceIn production
Recruiting and employee feedback

Google's People Operations team uses AI to search its candidate pool and match skills to open roles, with a recruiter leading the process, and NotebookLM summarizes themes from thousands of internal survey responses (Aug 2025).

People OperationsIn production

Adoption

Google spread AI first through engineering: an internal coding model, Goose, in Feb 2024, AI writing more than a quarter of new code by Oct 2024, the Cider coding tool from May 2025, Antigravity from Nov 2025 and background agents such as Agent Smith in early 2026, with the AI-generated share of new code reaching about 75% in Apr 2026. Use then became an expectation: Sundar Pichai pressed staff on productivity in Jul 2025, Google launched the AI Savvy Google training site, and by Feb 2026 non-technical staff in sales and strategy were told AI use would count in reviews. Google reports adoption by group, such as 83% of the sales team using Gemini tools weekly (Jul 2026) and 50% of Cider's users using it weekly (Jul 2025), but has published no count of weekly AI users across its 204,757 employees. Business Insider reported in Mar 2026 that Agent Smith access was restricted because of demand, while 404 Media reported in Jun 2026 that some engineers mock the internal coding tools.

By the numbers

Incremental revenue from Gemini tools for ad sellers
Hundreds of millions of dollars
Philipp Schindler, Q3 2025 earnings call (Oct 29, 2025), with seller productivity up over 10%
Engineering velocity gain from AI
~10%
Google's own estimate, company-wide (Sundar Pichai, Jun 2025; Google blog, Aug 2025)
New code at Google that is AI-generated
~75%
Sundar Pichai, Apr 22, 2026, up from about 50% in fall 2025; engineers review and approve it
Sales team using Gemini-assisted tools weekly
83%
Q2 2026 earnings call, Jul 22, 2026
Worldwide compute recovered by AlphaEvolve
~0.7%
Data center scheduling heuristic in production for over a year (Google DeepMind, May 2025)
2026 capital expenditure guidance
$195B-$205B
Mostly technical infrastructure for AI (Oct 2026); $91.4B in 2025

Rollout, first pilot to today

  1. Feb 2024

    Business Insider reported that Google had launched Goose, an employee-only model derived from Gemini and trained on 25 years of Google engineering knowledge.

    Business Today, citing Business Insider

  2. Oct 2024

    Sundar Pichai said more than a quarter of all new code at Google was generated by AI, then reviewed and accepted by engineers.

    Q3 2024 earnings remarks

  3. May 2025

    Google DeepMind disclosed that an AlphaEvolve heuristic had run in Google's data center scheduling for over a year, recovering about 0.7% of worldwide compute.

    Google DeepMind

  4. May 2025

    Staff in Google's AI and Infrastructure organization started Project EAT to help employees adopt AI products and standardize their use.

    Business Insider

  5. Jun 2025

    Sundar Pichai said Google estimates AI has raised engineering velocity about 10% across the company and that Google still plans to hire more engineers.

    Lex Fridman Podcast

  6. Jun 2025

    Google named Koray Kavukcuoglu its first Chief AI Architect, a new SVP role reporting to Sundar Pichai, to bring its models into products faster.

    Semafor

  7. Jul 2025

    Sundar Pichai told an all-hands meeting that Google must drive higher productivity, and Brian Saluzzo promoted the AI Savvy Google training site and said 50% of Cider's users used it weekly.

    CNBC

  8. Oct 2025

    Philipp Schindler said Gemini tools for Google's sales teams raised productivity by over 10% and led to hundreds of millions of dollars in incremental revenue, and Anat Ashkenazi said nearly half of Google's code was generated by AI.

    Q3 2025 earnings call

  9. Nov 2025

    Google launched Antigravity, its agentic development platform, which had more than 1.5 million weekly active users 2 months later.

    Q4 2025 earnings call

  10. Feb 2026

    Anat Ashkenazi said about 50% of Google's code is written by coding agents and reviewed by engineers.

    Q4 2025 earnings call

  11. Mar 2026

    Business Insider reported that Google employees were using Agent Smith, an internal background agent built on Antigravity, and that access had to be restricted because of demand.

    Business Insider

  12. Apr 2026

    Sundar Pichai said about 75% of all new code at Google is AI-generated and approved by engineers, up from 50% in fall 2025, and that engineers now orchestrate autonomous agents.

    Google blog

  13. Jul 2026

    Google said 83% of its sales team uses Gemini-assisted tools weekly and that agents handle 75% of ads support queries.

    Q2 2026 earnings call

  14. Sep 2026

    Business Insider reported that every Google engineer can now use Anthropic's Claude Opus 5 inside Antigravity on a per-user quota.

    AI Weekly, citing Business Insider

  15. Oct 2026

    Sundar Pichai said Google is deploying Gemini 4 Argon and Carbon internally and expects to make them widely available to Googlers with more compute.

    Q3 2026 earnings call

Economics & controls

Spend and ROI

Capital spending

Alphabet spent $91.4 billion on capital expenditure in 2025, mostly technical infrastructure, and kept its 2026 guidance at $195 billion to $205 billion on Oct 28, 2026, with a significant further increase expected in 2027. Alphabet does not split out what its internal AI use costs; Sundar Pichai said in Apr 2026 that just over half of the 2026 machine learning compute investment would go to Google Cloud, and Amin Vahdat told staff in Nov 2025 that Google must double its AI serving capacity every 6 months.

Compute for internal tools

Alphabet rations compute for internal AI: Bloomberg reported in Apr 2026 that engineers using internal coding tools often hit capacity limits, Business Insider reported in Mar 2026 that Agent Smith access was restricted to handle demand, and Claude Opus 5 is offered to engineers on per-user quotas (Sep 2026). Google said it cut Gemini serving unit costs by 78% over 2025 through model optimization, efficiency and utilization improvements (Feb 2026).

Reported ROI

Alphabet has published 2 returns it credits to internal AI: Philipp Schindler said on Oct 29, 2025 that Gemini tools for Google's sales teams raised productivity by over 10% and led to hundreds of millions of dollars in incremental revenue, and Google estimates AI raised engineering velocity about 10% (Jun 2025). An AlphaEvolve scheduling heuristic recovers about 0.7% of Google's worldwide compute (May 2025), a capacity gain Google has not valued in dollars. Alphabet gives no firm-level figure, and Anat Ashkenazi said of the treasury agent only that it yields real financial results (Mar 2026).

Productivity markers

Google reports AI's spread mostly as engineering output and speed: about 75% of new code AI-generated (Apr 2026), a code migration 6 times faster than a year earlier (Apr 2026), a Chrome team on track to compress a 2-year timeline into 3 months (Jul 2026), and teams using Gemini 4 Argon shipping 35% more code with 30% fewer errors (Oct 2026). Sundar Pichai said in Jun 2025 that engineering velocity, not the share of code, is the metric Google measures most carefully.

Headcount

Alphabet had 190,820 employees at Dec 31, 2025 and 204,757 at Sep 30, 2026, up 7.7% from 190,167 a year earlier. Anat Ashkenazi said in Mar 2026 that Alphabet reduced management layers, ran its first company-wide voluntary exit program in 2025 and uses AI internally to drive efficiency, and Alphabet has not credited any job cuts to AI; Sundar Pichai said in Jun 2025 that Google planned to hire more engineers.

Governance and risk

AI Principles and launch review

Google's 2026 Responsible AI Progress Report (Feb 2026) says Google applies its AI Principles through launch reviews for frontier models at Google DeepMind's Launch Review forum and for applications through centralized expert risk reviews, alongside its Frontier Safety Framework and Secure AI Framework. An AGI Futures Council of Google senior management and Alphabet directors advises the board and management on the long-term risks of AGI.

Approved tools and the data boundary

Google restricts staff to approved internal AI systems, partly to protect sensitive corporate information (Business Insider, Feb 2026). Bloomberg reported in Apr 2026 that most employees are banned from Claude Code and Codex for security reasons and may request exceptions with a business case, and Google's internal coding models are trained on its proprietary codebase and cannot be released publicly (The Information, Apr 2026).

Outside models on a quota

Google opened Anthropic's Claude Opus 5 to every engineer in Sep 2026 only inside Antigravity and on per-user quotas; a Google spokesperson said Gemini remains the primary foundation model for internal development.

AI use in performance reviews

A Google spokesperson said in Aug 2025 that Google was not factoring AI use into performance reviews, but by Feb 2026 a spokesperson told Business Insider that managers in technical and non-technical functions have discretion to evaluate employees on their use of AI, and Google has added AI use to the job requirements of certain software engineers.

Disclosed risks

Alphabet's 2025 Form 10-K says increased use of AI in its offerings and internal systems may create new problematic content and potential for misuse, and that AI may increase its exposure to cyber attacks. Google's security teams say they track agents on risk reduction, removal of repetitive work and analysts' trust in the tools (Oct 2025).

Recent signals

  1. Oct 28, 2026

    Sundar Pichai said teams in Chrome, Ads and Search using Gemini 4 Argon internally ship 35% more code with 30% fewer errors, that Google is now deploying Gemini 4 Carbon internally, and that AI is raising Google's own training and launch velocity.

    Q3 2026 earnings remarks

  2. Oct 28, 2026

    Alphabet reported 204,757 employees at Sep 30, 2026, up from 190,167 a year earlier, and kept its 2026 capital expenditure guidance at $195 billion to $205 billion.

    Q3 2026 earnings release

  3. Sep 15, 2026

    Business Insider reported that Google cleared every engineer to use Anthropic's Claude Opus 5 inside Antigravity on per-user quotas, while Claude Code and Codex stay off limits.

    AI Weekly, citing Business Insider

  4. Aug 5, 2026

    Sundar Pichai made Koray Kavukcuoglu SVP of Google DeepMind, responsible for models, Gemini and developer teams, and Demis Hassabis chair of Google DeepMind and Alphabet's chief scientist.

    Anadolu Agency

  5. Jul 22, 2026

    Google said 83% of its sales team uses Gemini-assisted tools weekly, agents autonomously handle 75% of ads support queries, and a Chrome team is on track to deliver 8 times faster through model-driven refactoring.

    Q2 2026 earnings call

  6. Jun 4, 2026

    404 Media reported that Google engineers share internal memes mocking the AI coding tools they are told to use.

    404 Media

  7. Apr 22, 2026

    Sundar Pichai said about 75% of all new code at Google is AI-generated and approved by engineers, up from 50% in fall 2025, and that a complex code migration finished 6 times faster than a year earlier.

    Google blog

  8. Apr 22, 2026

    Bloomberg reported that Koray Kavukcuoglu is uniting Google's internal AI coding tools under Antigravity, that some engineers prefer Claude Code, and that Brian Saluzzo, who led internal AI coding adoption, had left.

    Bloomberg via The Star

  9. Apr 16, 2026

    Google's 2025 Ads Safety Report credited Gemini-based enforcement with blocking or removing 8.3 billion ads in 2025 and cutting incorrect advertiser suspensions by 80%.

    PPC Land

  10. Mar 27, 2026

    Business Insider reported that Google employees use Agent Smith, an internal background agent built on Antigravity, and that access was restricted because of demand.

    Business Insider

  11. Mar 3, 2026

    Anat Ashkenazi said Alphabet uses predominantly TPUs internally, runs a treasury agent that yields real financial results, and ran its first company-wide voluntary exit program in 2025.

    Morgan Stanley TMT Conference transcript

  12. Feb 27, 2026

    Business Insider reported that Google told some non-technical staff AI use would factor into performance reviews, and a spokesperson said managers have discretion to evaluate it.

    People Matters, citing Business Insider

  13. Feb 4, 2026

    Anat Ashkenazi said about 50% of Google's code is written by coding agents and reviewed by engineers, and Google said it cut Gemini serving unit costs 78% over 2025.

    Q4 2025 earnings call

  14. Jan 30, 2026

    Business Insider reported on Project EAT, started in May 2025 inside Amin Vahdat's AI and Infrastructure organization to make Google an AI-powered workplace.

    Business Insider

Quick answers

How does Alphabet deploy AI?
Alphabet deploys AI inside Google mostly with tools it builds: Gemini models on its own TPUs, the Antigravity agent platform and internal coding agents such as Agent Smith, with Anthropic's Claude Opus 5 added for engineers on a quota in Sep 2026. Sundar Pichai said in Apr 2026 that about 75% of new code at Google is AI-generated and approved by engineers. Philipp Schindler said in Oct 2025 that Gemini tools for ad sellers raised their productivity over 10% and added hundreds of millions of dollars in revenue.
What does Alphabet use AI for?
Alphabet has described about a dozen internal AI use cases across engineering, sales, ads support, Trust & Safety, security, marketing, recruiting and finance, without publishing a count. Alphabet credits AI with 2 returns: Gemini tools for ad sellers (hundreds of millions of dollars of incremental revenue, Oct 2025) and AI in software engineering (an estimated 10% rise in engineering velocity, Jun 2025). AlphaEvolve in data center scheduling recovers about 0.7% of worldwide compute (May 2025), an operating measure with no dollar value. Alphabet reports no firm-level return from its internal AI use; its other figures, such as 75% of ads support queries handled by agents, measure workload or speed.
Who leads AI at Alphabet?
AI at Alphabet is led by Koray Kavukcuoglu (SVP, Google DeepMind, and Chief AI Architect); Demis Hassabis (Chair of Google DeepMind and Chief Scientist, Alphabet); Amin Vahdat (SVP and Chief Technologist, AI and Infrastructure). Ownership of AI on the org chart: CEO Sundar Pichai; Koray Kavukcuoglu, Chief AI Architect, unifies internal coding tools.
What AI platform does Alphabet use?
Alphabet builds its internal AI tools itself: Gemini models, the Antigravity agentic development platform, coding tools such as Cider, Jetski and Agent Smith, and a Gemini chatbot trained on Google's own documentation; Koray Kavukcuoglu was uniting the coding tools under Antigravity in Apr 2026.
Which AI models does Alphabet use?
Google says Gemini remains the primary model for internal development; since Sep 2026 every engineer can use Anthropic's Claude Opus 5 inside Antigravity on a per-user quota, while Claude Code and OpenAI's Codex stay barred for most staff (Business Insider, Bloomberg).
How many Google employees use AI?
Google reports adoption by group, not company-wide: about 75% of new code was AI-generated in Apr 2026, and 83% of the sales team used Gemini-assisted tools weekly in Jul 2026; Alphabet had 204,757 employees on Sep 30, 2026.
What return has Alphabet reported from AI?
Alphabet credits AI with business returns in 2 functions, both reported in the last 18 months, which places it at Scaling: Philipp Schindler said on Oct 29, 2025 that Gemini tools for Google's ad sales teams raised seller productivity by over 10% and led to hundreds of millions of dollars in incremental revenue; Google estimates that AI has raised engineering velocity about 10% across the company (Sundar Pichai, Jun 2025, restated by Google in Aug 2025). Google DeepMind's May 2025 report that an AlphaEvolve scheduling heuristic recovers about 0.7% of Google's worldwide compute is a capacity measure, not a currency return. On rollout, Google reports adoption by group: about 75% of new code is AI-generated (Apr 2026) and 83% of the sales team uses Gemini-assisted tools weekly (Jul 2026), while Koray Kavukcuoglu, SVP of Google DeepMind and Chief AI Architect, is uniting the internal coding tools under Antigravity, and Pichai and Schindler report results on earnings calls. Alphabet falls short of Embedded because Alphabet reports no firm-level cost, revenue or headcount effect it credits to AI, has not said how many of its 204,757 employees use AI each week, and grew headcount 7.7% in the year to Sep 30, 2026.

Open questions

  • Will Alphabet publish a firm-level return from its internal AI use, in cost, revenue or headcount, beyond the 2 function-level returns it has reported?
  • How many of Alphabet's 204,757 employees use AI tools each week, outside the sales team and Cider's users?
  • Has Google updated its estimate of a 10% engineering velocity gain since Aug 2025, given that the AI-generated share of new code has since risen from about 30% to about 75%?
  • What are the dollar values of the 0.7% of worldwide compute that AlphaEvolve recovers and of the treasury agent's results?
  • What do the agents that handle 75% of ads support queries return in support cost or headcount?
  • Who owns AI adoption outside engineering after Brian Saluzzo's departure, and has the unification of coding tools under Antigravity been completed?
  • How much compute does Alphabet allocate to its own employees' AI tools, and how much does it spend on Anthropic models for its engineers?
  • Does Google formally count AI use in performance reviews, given differing statements in Aug 2025 and Feb 2026?

Sources

News

Data confidence

Confirmed
Stated in a primary or reputable public source.
Estimated
Derived or approximated from public reporting.
Unconfirmed
Reported, but not yet corroborated.

Alphabet profile · Enterprise AI diffusion report by Imagine · facts checked against their sources on Nov 5, 2026