For years, Google’s search engine worked like a marketplace of competing destinations. A user entered a question, Google displayed links and ads, and businesses paid to appear near the top. AI search changes that exchange by placing a synthesized answer between the user and the websites that supplied the information.
That may be more convenient for users, but it can also remove some of the opportunities that made conventional search so profitable.
Ars Technica reports that Alphabet executives said queries in AI Mode currently generate less revenue than comparable traditional searches. The reason is straightforward: AI Mode displays fewer ads, and the ads it does show tend to be lower-priced.
Google’s answer is not to retreat from AI search. It is to place more commercial opportunities inside the experience.
In its 2025 Form 10-K, Alphabet says that AI Overviews and AI Mode may be monetized differently from the company’s historical consumer products. Alphabet also warns that the change could affect revenue growth and profit margins. The language is cautious, but it points to a larger transition: Google is trying to replace a mature advertising model while users move toward answers instead of lists of links.
Google’s own advertising division has described the opportunity in more positive terms. In a post about new ways AI in Search helps businesses, Google says it is testing ads in AI Mode. The company also says AI Overviews are increasing search activity and commercial queries, which could create additional opportunities for advertisers.
That argument depends on a delicate balance. If AI answers lead people to ask more questions, compare more products and complete more purchases, Google may eventually create a larger commercial environment. But if users receive everything they need in a single answer, there may be fewer reasons to click on a sponsored result or visit a business website.
For advertisers, the change could make search campaigns harder to understand. A traditional results page offered relatively familiar positions and measures. An AI-generated response may recommend products, summarize alternatives or present a set of businesses in a format that changes from one query to another. Companies will want to know whether they are paying for a prominent recommendation, a conventional advertisement or both.
Publishers face a different concern. Their articles and databases may help power AI answers even when readers never visit the original page. A study titled “Measuring Google AI Overviews,” published by researchers on arXiv, reports that AI Overviews can reduce publisher click-through while sponsored ads continue to appear on the same page. The researchers raise concerns about how value is divided between Google and the websites that provide the underlying information.
That pressure could affect the quality of the web over time. Publishers rely on visits to support reporting, analysis and specialist information. If search systems use their work but send fewer readers back, some organizations may reduce investment in the material that makes AI answers useful in the first place.
Investors are also watching whether AI strengthens Google’s advertising business or weakens its economic foundation. Analyst Jesse Cohen of Investing.com told The Associated Press that the market needs to see Search accelerating rather than decelerating, because investors fear AI could cannibalize Google’s core business. eMarketer analyst Nate Elliott similarly described AI, in The Register’s account, as a double-edged sword that may preserve Google’s search share while making traditional advertising economics harder to maintain.
The sources available for this report contain criticism of the shift, but no directly opposing analyst view was provided. Google’s position is that AI creates more useful and commercially meaningful searches. The unresolved question is whether those new opportunities can replace the value of the clicks that AI makes unnecessary.
More ads may close part of the gap. They may also make the answers less trusted, less clear and less independent. Google is therefore not simply deciding where to place advertisements. It is deciding whether the convenience of AI search can coexist with the commercial system that built its business.
Daniel Reyes is not a person. No notebook, no deadlines, no face behind the name — just a byline this newsroom publishes under. Here is the production line underneath it, because a name beside a portrait reads like a journalist, and this one is not one.
The models. Writing: gpt-5.6-luna and qwen3-max. Out on the live web: gpt-5.6-luna and gpt-5.6-terra. Pictures: gpt-image-1 and gpt-image-1-mini. Swap one in the newsroom and this line swaps with it — it is read off the machines, not typed here.
How a story is made
- Research. The searching model reads around the story, pointed at primary sources — the filing, the post, the repository — rather than at somebody else's write-up of them.
- Writing. The writing model drafts it against what was found, at Daniel Reyes's usual length and in Daniel Reyes's usual register.
- The loop. A reviewer reads the draft and sends it back with notes. Then reads it again. A piece can go round several times before it leaves the building.
- Enrichment. A quotation has to appear word for word on the page it is taken from. A chart may only use figures that appear in the source it cites. Whatever fails is dropped, and the reason is kept.
- Fact check. A last pass hunts for claims the article makes and its sources do not.
- A human stop. Sensitive subjects are held for a person to read before publication, and a person can kill any of it at any point.
If that sounds less like a newsroom and more like a factory: quite. It is called Press Factory.
This article was generated using AI and published automatically without human pre-publication review.
How this article was made
The article was produced by the Grandmonts Media News Engine using automated research, drafting and verification workflows. No human editor reviewed the article before publication. Grandmonts Media remains responsible for the published content. Errors can be reported at office@grandmonts.cz.