Google CEO Sundar Pichai says artificial intelligence is now responsible for writing most of the company’s new code, marking one of the clearest signals yet that AI-assisted software development is moving from experimentation to large-scale deployment.
In a blog post published during Google Cloud Next 2026, Pichai revealed that 75% of all new code at Google is now generated by AI and later reviewed by engineers, a sharp increase from 50% last fall.
The statement reflects how Google is increasingly embedding AI into its own internal workflows while simultaneously selling similar tools to enterprise customers.
TL;DR
- Google says AI now generates 75% of its new code.
- Engineers still review and approve all AI-written code.
- The figure rose from 50% last fall.
- Google says AI agents helped complete one project 6x faster.
- Company is expanding enterprise AI tools through Gemini and Vertex AI.
“We’ve been using AI to generate code internally at Google for a while,” Pichai wrote.
“Today, 75% of all new code at Google is now AI-generated and approved by engineers, up from 50% last fall.”
Pichai added that Google is now moving toward what he described as truly agentic workflows.
According to him, engineers are increasingly managing AI systems that can handle more complex development tasks autonomously.
“Recently, a particularly complex code migration done by agents and engineers working together was completed six times faster than was possible a year ago with engineers alone,” he said.
The announcement came during Google’s broader enterprise AI push at Cloud Next, where the company introduced expanded capabilities for Gemini and Vertex AI.
According to Reuters, Google is positioning AI agents as a major enterprise revenue opportunity as businesses move from experimenting with chatbots toward deploying autonomous systems that can complete workflows independently.
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This is not the first time Google has disclosed internal AI coding usage.
In October 2024, Pichai said AI was generating roughly 25% of new code at Google. That figure later rose to 50% before reaching 75% now.
The bigger story here is not that AI is replacing developers overnight. Instead, Google appears to be redefining engineering roles, shifting developers toward reviewing, validating, and managing AI-generated output rather than writing every line manually.
For now, Google’s numbers suggest AI coding tools are becoming deeply embedded inside large tech companies, but the long-term impact on software quality, hiring, and developer roles remains uncertain.
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