Google’s AI Mode: The End of the Open Web or the Future of Search?
Table of Contents
The Billion-User Pivot
At the Google I/O 2026 developer conference, Search VP Liz Reid painted a picture of a thriving new ecosystem. The centerpiece of her presentation was ‘AI Mode’—Google’s end-to-end AI search experience—which she claims is seeing phenomenal growth, with queries more than doubling every quarter since launch. According to Reid, AI Mode has already surpassed one billion monthly users.
For Google, this is an evolution of the search box into a conversational partner capable of tackling highly specific, detailed queries. But for the publishers, creators, and site owners who built the web, AI Mode looks less like an evolution and more like a vacuum. By synthesizing information directly on the search page, Google is effectively removing the need for users to actually visit the sources of that information.
Asking the Machine Why It’s Failing
To test the current state of the system, we asked AI Mode a blunt question: “Why does Google Search suck now?”
Surprisingly, the AI didn’t offer a corporate defense. Instead, it provided a synthesized answer admitting that users and critics have documented a measurable decline in search quality. The AI noted that the search engine often feels like a vehicle designed to keep users within Google-owned properties or clicking on monetized links, citing a mix of aggressive monetization and the disruptive introduction of AI features as the primary culprits.
The irony is systemic. To generate this admission of failure, AI Mode ‘laundered’ content from across the web. It digested a post from Tadeusz Szewczyk’s seo2 blog, a Medium piece by Terry Hutchins, a Reddit thread by user Severe_Aardvark_3109, and an analysis by Alex Tabarrok. Google provides these as ‘source chips’—small, clickable footnotes—but these citations are a far cry from the organic traffic a website receives when a user clicks a blue link.
The Click-Through Crisis
The shift from a directory of links to a synthesis engine is having a quantifiable impact on the web’s economy. Data from SEO firm Ahrefs suggests a stark reality: Google’s AI Overviews have resulted in a 58 percent lower average click-through rate (CTR) for top-ranking pages, a significant jump from the 34.5 percent drop observed just eight months prior.
While AI Overviews are integrated into the traditional search results page, AI Mode is a more aggressive departure. Accessible via a dedicated tab in the Chrome omnibox or a specific button on the Google homepage, AI Mode focuses on advanced reasoning and multimodal capabilities. The distinction between the two is often blurry, but the result is the same: the user gets the answer without ever leaving Google’s garden.
A Closed Loop
The tension becomes most apparent when the AI is asked to defend the company. When queried on why Google Search is “great,” the AI shifted its sourcing. Instead of leaning on independent bloggers or Reddit communities, it heavily cited Google’s own corporate blog posts, praising the system’s speed and ability to research local businesses.
Reid’s vision for the future is a “seamless AI search experience” where users flow effortlessly from a main results page into a deep-dive conversation within AI Mode. While this creates a frictionless user experience, it transforms Google from a gateway to the internet into a traffic routing layer that decides which fragments of information are worth seeing.
By cannibalizing the traffic of the sites it relies on for training data, Google is risking the health of the very ecosystem that makes its AI possible. If the incentive for high-quality web publishing vanishes because the ‘AI Mode’ takes all the credit and the clicks, the machine may eventually find itself with nothing left to digest.
