When You Should—and Shouldn’t—Use AI to Search the Web
Chatbots are often quite good at retrieving the information you want from the web. But sometimes you’ll get better results by typing your query into a good old search engine.
When using an AI-powered search, it's best for straightforward, widely-known information, such as the height of the Empire State Building. AI search relies on probability patterns, making it likely to provide accurate results. However, for obscure or less-known questions, AI may struggle to find accurate sources or present confident answers even if the information is incorrect.
AI search excels when handling complex queries that standard Google searches can't parse, like finding the best family-friendly restaurants in San Francisco under $200. AI can query and synthesize multiple sources, presenting a polished answer. However, the accuracy of these results depends on the quality and availability of public information online. For less popular destinations or specific requests, AI's ability to join dots becomes less reliable.
While AI chatbots are an upgrade from traditional web searches in terms of processing queries and synthesizing answers, they can introduce mistakes when precise details are needed, such as celebrity quotes, report stats, or device specifications. In these cases, a traditional Google search may be more reliable. Additionally, AI searches may choose less authoritative sources based on relevance rather than authority, which could lead to inaccurate information.
High-stakes searches, like those related to health, law, or finances, also benefit from traditional searches to ensure accuracy.
In summary, AI web search works best for common queries with ample accurate, up-to-date information online. It's more convenient but less transparent than traditional searching. For precise queries or when high stakes are involved, sticking to traditional web searching is still the safer choice.
Written by urgent.news from Wired's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
