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Google CEO Sundar Pichai (Img: Internet)
New Delhi: Sundar Pichai has revealed that around 75% of all new code at Google is now generated using artificial intelligence and subsequently reviewed by engineers. The figure marks a significant rise from approximately 50% reported just a few months earlier.
The development reflects the company’s increasing reliance on AI tools to accelerate software development and improve efficiency.
Pichai highlighted a broader transition within Google toward what he described as “agentic workflows.” In this model, engineers coordinate autonomous AI agents that can perform complex tasks such as writing, testing, and deploying code.
This approach allows teams to manage multiple AI-driven processes simultaneously, significantly reducing the time required for large-scale projects.
The update was shared ahead of Google Cloud Next 2026, the company’s flagship event focused on advancements in cloud computing, artificial intelligence, and data systems.
A key highlight of this year’s event is Gemini Enterprise, an integrated platform designed to support the development and management of AI agents across organisations. According to Pichai, the platform has recorded strong growth in paid user adoption.
While AI adoption is accelerating, Pichai noted that it also introduces new challenges. As organisations deploy increasing numbers of AI agents, the focus is shifting from building individual systems to managing large networks of autonomous tools.
He described this as a major evolution in how software is created and maintained, requiring new strategies for coordination and oversight.
Google has already reported significant productivity gains from AI-assisted workflows. In one example, a complex code migration project was completed several times faster than traditional methods involving only human engineers.
The company is also using its internal platforms to build applications more efficiently, demonstrating how AI can streamline the entire development lifecycle.
The growing role of AI in coding signals a broader transformation in the technology sector. As companies adopt similar tools, the nature of software engineering is expected to evolve, with engineers increasingly focusing on supervision, design, and integration rather than manual coding alone.
Google’s shift underscores how AI is reshaping both the pace and process of innovation in the digital era.
