From software engineers to non-technical staff, Google has urged its employees to fully embrace AI . And it seems like the push to use the tech has resulted in a major productivity leap. In a Wednesday blog post , Google CEO Sundar Pichai said that three-quarters of the company’s new code is AI -generated. “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.” “We’re now shifting to truly agentic workflows,” the tech giant CEO continued in the blog post. “Our engineers are orchestrating fully autonomous digital task forces, firing off agents and accomplishing incredible things.” Pichai wrote that Google is “staying on the cutting edge” by being “customer zero” of its own products. For example, he said, a recent “complex code migration” completed by both agents and engineers was done six times faster than what was possible just a year ago with engineers alone.  While the work has evolved, the fundamentals of Google’s engineering workforce have stayed the same, Google Cloud’s senior director and chief evangelist, Richard Seroter, told Fast Company.  With AI-generated code approved by humans—which Seroter called “critical in this era”—engineers are able to focus on “higher-value tasks like system architecture, design and solving complex problems.”  At Google, the title of “software engineer” seems to have grown outdated. “Software engineers are becoming product engineers, or architects, as they move away from manual coding and toward an agentic operating model,” Seroter told Fast Company .  “Excitedly, many prior limits have dissolved,” Seroter added. “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.” It’s not just engineers utilizing AI tools at Google, though. According to Pichai’s blog post, Google’s marketing teams used AI models to “rapidly generate thousands of variations” of creative assets, which otherwise would have 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. It’s a busy time for Google. At its Cloud Next 2026 conference , the company announced the launch of two new AI chips, as well as the release of a new Gemini Enterprise Agent Platform. At the conference, Pichai also said that Google will invest up to $185 billion on infrastructure to power autonomous AI agents. Google Cloud and ex-OpenAI executive Mira Murati’s Thinking Machines Lab also recently struck a multibillion-dollar deal to expand on its AI infrastructure. Over the next few years, Seroter said the company will be “prioritizing 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,” Seroter said.  “For Google, the next few years are about transitioning from simple code generation to managed agency—where we provide a governed, enterprise-ready harness to build and scale autonomous agents,” he added. Google I/O, the company’s developer conference, is scheduled for May 19, where Pichai said further announcements are in store. When it comes to building and scaling AI agents, it doesn’t seem like Google will slow down anytime soon.