Philipp Schindler, Google (Alphabet) Chief Business Officer, acknowledged that AI‑generated answers — notably the AI Overview summaries displayed above search results — have made it harder for the company to monetize search. Many users rely on these summaries instead of visiting the originating webpages, which reduces the number of ad impressions on publisher sites and thus the ad revenue that traditionally flows through Google.
Numbers and market impact
Google’s advertising business still produced $63.4 billion in revenue in the third quarter, a 12 percent year‑over‑year increase. However, investors had expected greater growth — Wall Street had estimated roughly a 15 percent increase. After the quarterly results were released, Alphabet’s share price fell sharply on October 29, dropping as much as 13 percent in a single day and wiping out more than $500 billion of the company’s market value, the largest one‑day loss in the company’s history.
Why this is a problem for Google
The issue is twofold. First, AI summaries divert users away from traditional search results and publisher pages, reducing ad impressions and making ad sales less effective. Second, developing and operating AI models is expensive: model development, data centers, servers and energy consumption all generate substantial costs.
The dilemma is particularly acute because Google is not merely spending on a new technology — the AI changes the structure of one of its most profitable businesses, search advertising. It is not yet clear whether revenues from new AI services, such as potential subscriptions, can offset both the lost profit and the increased operating costs.
Regulatory and competitive consequences
An organization representing independent publishers has filed a complaint with the European Commission, arguing that Google is abusing its dominant position in internet search. Part of that complaint centers on how AI summaries divert traffic from publishers and harm their revenues.
Why Google continues to push AI despite the harm
Google’s reasoning is that pulling back from AI would be riskier: if it stopped advancing AI‑based search, competitors such as OpenAI or Anthropic could do so and attract users away. The company therefore faces a strategic imperative to develop AI even though the technology currently reduces legacy revenues and raises costs.
The next task: monetizing a changed internet
Google now needs to find ways to make money in a search environment that delivers direct answers without sending users to traditional web pages. Any solution must address declining ad revenues, higher AI operating costs and competitive pressure while responding to regulatory concerns and publishers’ demands.
