Crypto news

A significant trend is emerging: more and more users are abandoning traditional search engines in favor of artificial intelligence. Google and its counterparts are gradually losing ground to chatbots, which people query directly. This is not just a fad — it is a fundamental shift in how we interact with information.

The discussion flared up after statements from several influential users. One of them claims that Google has degraded so much that searching for information through Grok has become frankly more convenient. Another, an American blogger and producer, admitted that several months ago he made Grok his primary search engine, using Google only for spell-checking. Elon Musk himself retweeted this post, which is unsurprising — he is the founder of xAI, the company that developed Grok.

Key advantages of AI search over classical systems

The advantages of neural networks over traditional search engines are becoming increasingly obvious. Here are the main ones:

• Ready answer instead of a list of links. Instead of a dozen tabs and manually filtering out junk, the user receives a formulated conclusion. If necessary, the system provides links to sources.
• No ad-filled results. Classical search engines fill the top of the page with sponsored results, whereas a chatbot responds solely to the essence of the query. Users are no longer annoyed by paid links.
• No intrusive retargeting. After searching for a product in a regular system, a person is pursued by contextual advertising for weeks. A dialogue with a neural network leaves no such trace.
• Understanding complex and vague queries. AI can parse a task description, clarify details, and find a solution. A regular search engine requires precise keywords.
• Additional scenarios. Beyond search, neural networks effectively handle related tasks — from analyzing long texts to managing large projects.

The flip side: weaknesses of AI

However, there is no perfect picture. The main problem with AI is its tendency to fabricate facts (hallucinations). Critical information has to be double-checked, as the neural network can confidently provide false data. Additionally, image search still lags behind classical systems in volume and quality, and current events may be reflected with a delay. Finally, free access to advanced models is often limited, and a subscription is required for full functionality.

User opinions: pros and cons

Proponents of the transition describe a similar scenario: tried it — and almost stopped using Google. Among the arguments, the most frequently cited are the absence of ads, the convenience of a ready answer, and the AI's ability to find products based on a free-form description. Many experienced internet users have already stopped using Google as their default search engine.

Skeptics offer substantive counterarguments. Some users believe that neural network search still has many limitations and that switching search engines is premature. There are complaints that AI answers can also be false, and voice search provides incorrect information. A separate grievance is the high cost and limits. A notable part 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 several pain points of classical search engines, but it has not yet become a universal replacement. A sensible approach is to combine tools for specific tasks: use neural networks for creative queries and summaries, and traditional search engines for fact-checking and finding primary sources. And most importantly: maintain the habit of double-checking important information, regardless of which tool you use.