Google CEO Sundar Pichai Reveals 75% of New Code is AI-Generated, Boosting Productivity

Google has urged its employees—from software engineers to non-technical staff—to fully embrace artificial intelligence (AI), and the results have been transformative. In a Wednesday blog post, Google CEO Sundar Pichai revealed that the company’s push to integrate AI has led to a major productivity leap.

Pichai stated that 75% of all new code at Google is now AI-generated and approved by engineers, a significant increase from the 50% reported last fall. “We’ve been using AI to generate code internally at Google for a while,” Pichai said. “Today, 75% of all new code at Google is now AI-generated and approved by engineers, up from 50% last fall.”

He also highlighted a shift toward “agentic workflows”, where engineers orchestrate fully autonomous digital task forces. “Our engineers are orchestrating fully autonomous digital task forces, firing off agents and accomplishing incredible things,” Pichai explained.

Google is positioning itself at the forefront of AI innovation by being the “customer zero” of its own products. For example, a recent complex code migration completed by both AI agents and engineers was finished six times faster than what was possible just a year ago with engineers alone.

AI’s Role in Google’s Engineering Workforce

Despite the evolution in workflows, the fundamentals of Google’s engineering workforce remain unchanged, according to Richard Seroter, senior director and chief evangelist at Google Cloud. Seroter emphasized the importance of human oversight, stating that AI-generated code must be approved by humans, which he called “critical in this era.”

With engineers freed from manual coding, they can now focus on higher-value tasks such as system architecture, design, and solving complex problems. Seroter noted that the role of “software engineer” at Google is evolving. “Software engineers are becoming product engineers, or architects, as they move away from manual coding and toward an agentic operating model,” he told Fast Company.

Seroter added, “Excitedly, many prior limits have dissolved. No longer are Google engineers constrained by time or human energy, but rather can use AI to explore a seemingly endless array of ideas that benefit our users.”

AI Expands Beyond Engineering at Google

AI adoption at Google isn’t limited to engineering teams. In his blog post, Pichai revealed that Google’s marketing teams used AI models to rapidly generate thousands of variations of creative assets, a process that would have otherwise taken weeks.

“Using AI led to 70% faster turnaround and a 20% increase in conversions, getting us to market faster and more effectively,” Pichai said.

Google’s AI Investments and Future Plans

Google is making significant investments to support its AI-driven future. At its Cloud Next 2026 conference, the company announced the launch of two new AI chips and the release of a new Gemini Enterprise Agent Platform.

During the conference, Pichai also revealed that Google will invest up to $185 billion in infrastructure to power autonomous AI agents. Additionally, Google Cloud and ex-OpenAI executive Mira Murati’s Thinking Machines Lab recently struck a multibillion-dollar deal to expand AI infrastructure.

Looking ahead, Seroter said Google will prioritize “agent-first experiences”. “The experimental phase of simple copilots is over. Tab completion, context-unaware chatbots and ‘AI, please start this for me’ is no longer sufficient. We’re in the era of making AI and agents complete relevant work, steered by human operators,” he explained.

For Google, the next few years will focus on transitioning from simple code generation to managed autonomous workflows that deliver tangible results for users and businesses alike.