Google vs. AI: why users are massively switching to neural networks and whether it's worth it
Traditional search engines like Google are increasingly giving way to AI-powered chatbots. Users around the world are starting to abandon conventional link-based search in favor of direct answers from neural networks. As a crypto market and tech trend analyst, I observe this process gaining momentum, and today I will analyze how justified it is.
The discussion flared up after blogger Carlos That Notices Things stated that Google has degraded so much that searching for information through Grok has become much more convenient. This thesis was picked up by American blogger and political commentator Mike Cernovich, who said that several months ago he made Grok his primary search engine. According to him, he now only uses Google for spell-checking and typos, since Grok works slower for such minor tasks. In all other respects, Grok surpasses Google in everything.
It is important to note that Grok is developed by the company xAI, founded by Elon Musk himself, who retweeted Cernovich's post. Of course, Musk is interested in promoting his own product, but this does not negate the objective advantages of AI search.
Why are neural networks winning?
AI search has several key advantages over classic results. First, the neural network provides a ready-made answer, not a list of links. Instead of sifting through dozens of pages on their own, the user receives a formulated conclusion. The system provides links to sources if necessary, but the main focus is on the essence of the query.
Second, the absence of advertising. Classic search engines clutter the top of the page with sponsored results, while the chatbot responds exclusively to the point. Users are no longer annoyed by paid links.
Third, no intrusive retargeting. After searching for a product in a regular search, you are pursued by contextual ads for weeks. A dialogue with a neural network leaves no such trace.
Fourth, understanding complex and vague queries. AI is capable of parsing a task description, clarifying details, and selecting a solution. A regular search engine needs precise keywords. Advanced models execute multiple queries at once and consolidate the results.
Finally, additional scenarios: besides search, neural networks effectively cover related tasks, from analyzing long texts to managing large projects.
The flip side of the coin
However, AI search also has weaknesses. The main problem is the tendency to fabricate facts (hallucinations). Critically important information has to be double-checked. Additionally, image search is still inferior in volume and quality, and current events may be reflected with a delay. Free access is limited to a small number of queries per day and requires a subscription, whereas conventional search is completely free.
What do users think?
A debate erupted under the posts of discussion participants. Proponents of the switch describe the same scenario: tried it — and almost stopped using Google. Among the arguments, the most frequently mentioned are the absence of ads, the convenience of a ready-made answer, and the AI's ability to find products based on a loose description. Some users note that even experienced internet regulars have stopped using Google as their default search engine.
Skeptics offer substantive counterarguments. Some users believe that neural network search still has many limitations, and it is premature to switch search engines. There are complaints that AI answers can also be false, and voice search provides incorrect information. A separate complaint is the high cost and limits. A notable portion of the audience points to alternatives to Grok — from Gemini and Perplexity to Claude, emphasizing that the choice is not limited to the thesis "Google versus one neural network."
My analysis: AI search indeed addresses a number of pain points of classic search engines, but it has not yet become a universal replacement. A reasonable approach is to combine tools for specific tasks and maintain the habit of double-checking important facts. In the coming years, we will witness not a displacement, but an evolution of search, where AI will become not an enemy, but a powerful complement to traditional systems.