Google CEO Sundar Pichai has revealed that around 75% of all new code at Google is now generated by artificial intelligence, marking a major shift in how software is built inside the company. This figure has risen sharply from about 50% just months earlier, highlighting how quickly AI tools are being adopted across engineering teams. Importantly, the AI-generated code is still reviewed and approved by human engineers before deployment, ensuring quality and reliability.
A key part of this transformation is the move toward what Pichai calls “agentic workflows.” Instead of writing code line by line, engineers now manage AI agents that can independently generate, test, and execute coding tasks. In one example, a complex code migration project handled by a combination of AI agents and engineers was completed six times faster than traditional human-only methods. This signals a shift in the role of developers—from manual coding to overseeing and orchestrating AI-driven processes.
The change is not limited to engineering. Google is also using AI across departments, including marketing, where AI tools can generate thousands of creative variations quickly—leading to faster turnaround times and improved outcomes. This reflects a broader company-wide strategy where employees act as “customer zero,” meaning they actively use and refine Google’s own AI systems internally before rolling them out to users.
However, despite these gains, AI-generated code still requires careful human supervision. There have been concerns about errors, security risks, or even “rogue” AI behavior in coding systems. As a result, experts emphasize that AI is augmenting—not replacing—engineers, allowing them to focus more on architecture, design, and complex problem-solving. Overall, this milestone highlights a turning point in software development, where AI is becoming a central collaborator rather than just a supporting tool.
