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NewsMaterial4 min readDisconfirmAI Editorial

Platformer Founder Casey Newton: The Less Profitable AI Search Becomes, the More It Consolidates Google's Moat

Google’s Chief Business Officer stated on an earnings call that AI Mode generates less revenue than traditional search. On the same day, Reddit’s stock plummeted due to a decline in search traffic, and the company announced mandatory login requirements. Casey Newton links these two events to explain a self-reinforcing cycle: AI answers keep value within Google’s pages; publishers, losing traffic, block content and sell access; AI products then rely more heavily on paid licensed data, which only tech giants can afford.

2026-10-30 08:51 GMT+8

On October 29, 2026, Philipp Schindler, Chief Business Officer of Alphabet (Google's parent company), delivered an answer during an earnings call that unsettled investors. An analyst questioned why search query volume was increasing while revenue growth was slowing. In listing reasons, Schindler noted that increased usage of AI Mode is hurting the company because it earns less money than traditional search. Later that day, Alphabet's stock fell 12.6%, wiping out approximately $500 billion in market capitalization. Hours later, Reddit reported its earnings; search traffic had dropped significantly, with daily active users potentially declining by a low double-digit percentage in the fourth quarter. Its stock plunged 15%. Reddit CEO Steve Huffman subsequently announced plans to gradually require users to log in to use the website—a move for an open platform that has operated for over twenty years.

Casey Newton, founder of the technology media outlet Platformer, connected these two events to propose a counterintuitive judgment: the failure of AI search to monetize effectively may ultimately consolidate Google's competitive position. His core argument rests on a loop—Google's AI answers retain value on its own pages; publishers, having lost traffic, block content and sell access rights; AI products therefore become more dependent on paid licensed data; and companies that cannot afford this cost are either blocked or sued.

The premise of this loop is the collapse of the old contract between Google and the internet. In the past, publishers allowed Google to index their pages, and Google rewarded them with massive traffic. Google profited from ads embedded in search results, while publishers earned smaller profits from visitors. Reddit was one of the greatest beneficiaries of this mechanism. As the web became flooded with low-quality content, genuine human conversations became scarce, prompting Google to highlight forum discussions in search results, causing Reddit's search traffic to surge. According to Newton, reports indicate Google pays Reddit $60 million annually for data licensing.

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However, after ChatGPT became a phenomenon in 2022, Google was forced to follow suit, launching AI Overviews and AI Mode. Newton points out that while Google executives claimed a year ago that Overviews monetized similarly to traditional search, Schindler's recent comments imply that AI Mode—the interface representing the future of search—is not profitable. Search revenue growth slowed from 19% in the first quarter to 17% in the second and 12% in the third, remaining nearly flat quarter-over-quarter, despite AI Mode having approximately 1 billion monthly active users and AI Overviews having about 2.5 billion.

Newton believes Google's response strategy—expanding ads in AI Mode to 10 new countries and adding ad placements to follow-up questions in the United States—is re-enacting the path taken during the mobile internet era: build the product first, then flood it with ads. The problem is that publishers will not wait passively. Reddit's login wall is a signal: when traffic no longer flows from search engines, websites lock down their data and turn to selling licenses to AI companies.

This is the closing point of the loop. Newton writes that regardless of how expensive content licensing becomes, Google can almost certainly afford it better than anyone else—and publishers are generally willing to sell. When Reddit closed crawler access in 2024, Google was the only major search engine to maintain real-time result access. A closed, paywalled network might increase the cost per answer for Google, but it still has the budget to pay. Most challengers do not.

Newton concludes that a shrinking network actually benefits Google because it makes competition increasingly expensive. Everyone is acting in their own long-term interests, even if it causes short-term damage. He acknowledges that AI Mode is indeed a better product for many questions, and few would miss scrolling through long lists of links to find answers. However, he warns: the internet used to be good largely because of the content funded by those links; without them, the internet may become smaller, less democratic, and more expensive. Google will be fine; he worries about everyone else.

It must be noted that this is Newton's attribution analysis, not an independently verified conclusion. Schindler did not specify exactly how much less AI Mode earns, nor did he clarify the comparison baseline. Newton's circular argument relies on a key assumption: that Google can continuously bear licensing costs and that competitors cannot find ways around paid content—such as synthetic data, new paradigms of user-generated content, or regulatory mandates for open access. If these conditions change, the loop could break. But based on evidence from October 2026, this mechanism is unfolding.

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