• Menu
  • Skip to right header navigation
  • Skip to main content
  • Skip to primary sidebar

DigiBanker

Bringing you cutting-edge new technologies and disruptive financial innovations.

  • Home
  • Pricing
  • Features
    • Overview Of Features
    • Search
    • Favorites
  • Share!
  • Log In
  • Home
  • Pricing
  • Features
    • Overview Of Features
    • Search
    • Favorites
  • Share!
  • Log In

Google’s new AI mode threatens the traditional internet as it leads to fewer clicks on the SERP results which harms websites that need ad revenue

May 27, 2025 //  by Finnovate

Google is unveiling its “AI mode,” where instead of a list of search results, what the user get is Google‘s own take on a model-generated summary of whatever was put into the search box. A demo video from Google shows people asking various in-depth questions about a popsicle bridge, homebuying and other issues, and the new search engine feature replying accordingly, with cogent, multi-paragraph answers. However, Googling the kinds of phrases that we traditionally used in older days brings some vague results in AI Mode, as when I supplied the phrase “big dress,” which generated the following: “You seem to be interested in the term big dress, which can have several meanings,” and information on everything from voluminous ballgowns to the Guinness book of records. Basically, using AI results leads to fewer clicks on the Search Engine Results Page SERP results which harms websites that need ad revenue. Zero click searches where users just take the AI feedback don’t bring in web traffic to other parts of the Internet. Google CEO Sundar Pichai called AI Mode a “total reimagining of search.” “What all this progress means is that we are in a new phase of the AI platform shift, where decades of research are now becoming reality for people all over the world,” Pichai said in a press statement.

Read Article

Category: Additional Reading

Previous Post: « Trustworthy agentic AI is the next enterprise mandate- Accenture-ServiceNow’s platform enables development of enterprise-grade, trustworthy agentic AI using zero trust framework that enforces continuous verification and robust security measures throughout the AI lifecycle
Next Post: Robinhood proposes RWA tokenization framework and exchange for traditional assets, integrating offchain trade matching with onchain settlement »

Copyright © 2025 Finnovate Research · All Rights Reserved · Privacy Policy
Finnovate Research · Knyvett House · Watermans Business Park · The Causeway Staines · TW18 3BA · United Kingdom · About · Contact Us · Tel: +44-20-3070-0188

We use cookies to provide the best website experience for you. If you continue to use this site we will assume that you are happy with it.