Google has officially crossed the Rubicon, transforming from a simple information indexer into a high-powered task execution machine. A decade after Sundar Pichai pivoted the company toward an AI-first strategy, Google is entering a new phase: building the "agentic stack." Business scale is no longer measured in clicks, but in tokens. According to Pichai, Google’s models now process 3.2 quadrillion tokens per month—a staggering seven-fold increase in just one year. The market signal is unmistakable: the gap between user intent and final action is closing, and Google intends to be the sole intermediary on that journey.
This isn't merely an attempt to provide better answers; it is a strategy of aggressive vertical integration. An effective agentic model requires total control over hardware, which is why Google is utilizing its own specialized silicon to close the computational loop. The transformation of traditional Search is only the tip of the iceberg. AI Overviews already reach 2.5 billion users, while the new AI Mode has amassed a billion users in less than a year. Search is no longer a navigator to external resources; it has become an endless dialogue where Gemini absorbs the functions of third-party services, effectively locking users within Google's own infrastructure. The platform no longer directs you to a website—it has become the workspace where the job gets done.
For companies accustomed to traditional traffic models, a period of deep uncertainty has arrived. With 19 billion tokens flowing through APIs every minute, value is shifting away from the surface web toward the capabilities of specific agents. While 8.5 million developers are experimenting with building their own solutions on these models, the vast majority of data processing occurs within Google’s closed ecosystem. Businesses must face a new reality: your primary customer will soon no longer be a human browsing pages, but a Google agent acting on their behalf. Corporate systems must now pivot toward interacting with digital intermediaries rather than competing for human attention spans.
Google is methodically turning the open web into a training set for its execution vertical. The surge in processing load—from 9.7 trillion tokens two years ago to today’s quadrillions—has created a technological chasm that makes classic SEO look like a manual-labor anachronism. The infrastructure is ready, the chips are optimized, and users have already migrated to chat interfaces. The era of links is fading into the past; the era of executive agents has arrived.