Google changes its search box

Original Article ↗ Hacker News Discussion ↗

Nature of the change

  • Google is making AI “Mode/Overviews” the primary search experience for many queries, with traditional link lists pushed behind a “Web”/“All” tab or further down.
  • For some categories (e.g., shopping, local services) it adds agentic behavior (calling businesses, tracking updates, etc.).
  • Several commenters say they’ve already been A/B‑tested into this behavior in recent months.

User experience and trust

  • Many see this as forcing a chatbot UI on people who explicitly came to do classic search, not chat.
  • Complaints: AI answers are often slow, wrong, or internally inconsistent with the cited sources; some report “critical mistakes” or outright hallucinations on fairly simple factual/product questions.
  • Others find LLMs now more useful than current web search, especially for:
    • Navigating SEO/AI-slop-clogged SERPs.
    • Fuzzy queries, multi-constraint searches, and topical summaries with curated links.
  • A recurring pattern: power users want AI as an optional tool, not the default or only path.

Impact on the open web and publishers

  • Strong concern that “Google Zero” is arriving: Google summarizes, users don’t click, and sites lose traffic and ad revenue.
  • Site owners report large traffic drops already attributed to AI summaries; some feel years of work are being expropriated to train models that now disintermediate them.
  • Many predict:
    • More paywalls and closed APIs.
    • Fewer ad‑funded “reference” sites, more hobbyist or behind‑wall content.
    • Feedback collapse: if no one visits, creators get no community signal and stop improving or publishing.
  • Some argue small “labor‑of‑love” sites and RSS‑driven “small web” will persist, but with much less reach.

Business model, ads, and manipulation

  • Skepticism that AI answers can be free at Google scale; inference is seen as much costlier than classic search.
  • Widespread expectation that:
    • AI answers will be heavily monetized via embedded or native ads and affiliate‑style steering.
    • Model weights and responses will be biased toward paying partners and political or “safety” constraints in opaque ways.
  • Debate over whether this is Google prudently disrupting itself in response to LLM competition, or short‑term ad optimization that will further degrade information quality.

Alternatives and resistance

  • Many report switching or planning to switch to Kagi, DuckDuckGo, Brave, Startpage, Mojeek, niche engines, RSS, and direct bookmarks.
  • Some advocate blocking Google/AI crawlers or poisoning them with false data; others note the game‑theoretic trap if competitors don’t block too.