The amount of code being written by AI at top companies continues to rise rapidly.
Google has reached a significant milestone in AI-assisted software development, with nearly half of all code at the company now being generated by artificial intelligence, according to Chief Financial Officer Anat Ashkenazi.
Speaking during Google’s earnings call on October 29, 2025, Ashkenazi highlighted AI-driven productivity as a key component of the company’s efficiency strategy. “Sundar mentioned on one of the previous calls the productivity associated with leveraging AI for Google. So this is the example…now nearly half of all code generated by AI,” she said. “That’s the way for us to leverage AI to drive further productivity across the business.”
The disclosure represents a dramatic acceleration in AI adoption for software development at the tech giant. Just six months earlier, in April 2025, Google CEO Sundar Pichai had revealed that “well over 30%” of code at Google was being written by AI.
This rapid progression underscores the transformative impact of AI coding tools on software development workflows at major technology companies. The increase from “well over 30%” to “nearly half” in approximately six months suggests that AI-assisted coding has become deeply embedded in Google’s engineering processes.
Ashkenazi framed the AI coding milestone as part of Google’s broader efficiency initiatives, which include moderating headcount growth, optimizing real estate, and ensuring efficient buildout of technical infrastructure. She noted that Google’s self-built data centers are designed for optimization, with AI productivity gains helping to offset costs across the business.
Google is not alone in leveraging AI for code generation. Also in April 2025, Microsoft CEO Satya Nadella disclosed that 30% of code at Microsoft was being written by AI, putting the two tech giants on similar trajectories in adopting AI-assisted development tools.
The widespread adoption of AI code generation at these industry leaders signals a fundamental shift in how software is created, with potential implications for developer productivity, software quality, and the future composition of engineering teams across the technology sector.