Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

The Trump administration has quietly offered MIT a deal that could transform campus life

Phia’s Phoebe Gates and Sophia Kianni talk consumer AI at Disrupt 2025

7 Strategic Reasons to Consider Recruitment Outsourcing

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • OpenAI (GPT-4 / GPT-4o)
    • Anthropic (Claude 3)
    • Google DeepMind (Gemini)
    • Meta (LLaMA)
    • Cohere (Command R)
    • Amazon (Titan)
    • IBM (Watsonx)
    • Inflection AI (Pi)
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • AI Experts
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • The TechLead
    • Matt Wolfe AI
    • Andrew Ng
    • OpenAI
    • Expert Blogs
      • François Chollet
      • Gary Marcus
      • IBM
      • Jack Clark
      • Jeremy Howard
      • Melanie Mitchell
      • Andrew Ng
      • Andrej Karpathy
      • Sebastian Ruder
      • Rachel Thomas
      • IBM
  • AI Tools
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
  • AI Policy
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
  • Business AI
    • Advanced AI News Features
    • Finance AI
    • Healthcare AI
    • Education AI
    • Energy AI
    • Legal AI
LinkedIn Instagram YouTube Threads X (Twitter)
Advanced AI News
AI Search

How Americans feel about AI summaries in search results

By Advanced AI EditorOctober 1, 2025No Comments4 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


Many search engines like Google or Bing now use artificial intelligence (AI) to provide users with short answers or overviews at the top of the page that are separate from traditional search results.

A horizontal stacked bar chart showing that younger Americans are far more likely than older ones to say they often see AI summaries in search results.

A majority of U.S. adults (65%) at least sometimes come across these AI summaries in search results. That includes 45% who see them extremely often or often, according to a recent Pew Research Center survey. A smaller share (17%) say they rarely or never come across these summaries.

An additional 13% say they aren’t sure how often they see these summaries, which are a relatively new feature from search engines.

How we did this

Pew Research Center conducted this analysis as part of our ongoing exploration of the impact of artificial intelligence on society, including on the news and information environment.

To understand the views of the American public, we surveyed 5,153 U.S. adults from Aug. 18 to 24, 2025. Everyone who took part in this survey is a member of the Center’s American Trends Panel (ATP), a group of people recruited through national, random sampling of residential addresses who have agreed to take surveys regularly. This kind of recruitment gives nearly all U.S. adults a chance of selection. Interviews were conducted either online or by telephone with a live interviewer. The survey is weighted to be representative of the U.S. adult population by gender, race, ethnicity, partisan affiliation, education and other factors. Read more about the ATP’s methodology.

Here are the questions used for this analysis, the topline and the methodology.

Some groups are more likely to say they come across AI summaries in search results extremely often or often:

Younger Americans: A majority of adults under 30 (62%) say they come across these at least often, compared with 23% of those 65 and older – a difference of 39 percentage points. (Younger adults also are much more likely to say they have heard or read a lot about AI and that they interact with it on a daily basis.)

More educated adults: More than half of college graduates (57%) say they at least often come across AI summaries in search results, compared with 38% of adults with lower levels of formal education.

Liberal Democrats: Overall, Democrats and independents who lean Democratic (49%) are slightly more likely than Republicans and GOP leaners (42%) to say they see AI summaries often or more. These differences are driven by the higher share of liberal Democrats who see AI summaries extremely often or often (56%). Smaller shares of moderate or conservative Democrats (43%), moderate or liberal Republicans (41%), and conservative Republicans (43%) say the same.

Related: The platforms where Americans get news, including search engines

A horizontal stacked bar chart showing that 1 in 5 Americans who have seen AI summaries in search results find them extremely or very useful.

Americans who have seen AI summaries in search results are lukewarm about their value. One-in-five say they find the information extremely or very useful, 52% say it’s somewhat useful, and 28% say it’s not too or not at all useful.

Younger adults are more likely to find the information from these summaries extremely or very useful. A quarter of U.S. adults under 30 say this, compared with 12% of those ages 65 and older.

About half of Americans who have come across AI summaries (53%) have at least some trust in the information from those summaries. But only 6% say they trust it a lot.

Meanwhile, 46% say they do not have much trust or any trust at all in that information.

A horizontal stacked bar chart showing that about half of Americans who have seen AI summaries in search results have at least some trust in that info.

Upper-income Americans (63%) are more likely than middle-income (53%) and lower-income Americans (50%) to have at least some trust in information from AI summaries.

However, there are no differences between Republicans and Democrats in how useful they think these summaries are or how much they trust them. For example, 54% of Republicans and 53% of Democrats say they have at least some trust in information from AI summaries.

Related: Republicans have become more likely since 2024 to trust information from news outlets, social media

Note: Here are the questions used for this analysis, the topline and the methodology.



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleMoveworks and Simpplr Partner to Give Enterprises Greater Flexibility in the Digital Workplace
Next Article Tesla makes first move to counter loss of $7500 EV tax credit
Advanced AI Editor
  • Website

Related Posts

Google sends 831x more visitors than AI systems: Report

October 1, 2025

YouTube dominates AI search with 200x citation advantage: Data

October 1, 2025

AI job search tool launched for former federal workers in DC region

October 1, 2025

Comments are closed.

Latest Posts

Sotheby’s Sells York Avenue HQ to Weill Cornell, Prepares Breuer Move

Outsider Art Fair’s New Director Elizabeth Denny Discusses Her Role

50 Pianos Sound Off in ’11,000 Strings’ at the Park Avenue Armory

Five Arts and Culture Nonprofits Join NYC’s Cultural Institutions Group

Latest Posts

The Trump administration has quietly offered MIT a deal that could transform campus life

October 2, 2025

Phia’s Phoebe Gates and Sophia Kianni talk consumer AI at Disrupt 2025

October 2, 2025

7 Strategic Reasons to Consider Recruitment Outsourcing

October 2, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Recent Posts

  • The Trump administration has quietly offered MIT a deal that could transform campus life
  • Phia’s Phoebe Gates and Sophia Kianni talk consumer AI at Disrupt 2025
  • 7 Strategic Reasons to Consider Recruitment Outsourcing
  • Making, not Taking, the Best of N – Takara TLDR
  • Gen AI Hits India’s CX Industry: Entry-Level Roles Decline Sharply

Recent Comments

  1. BlitzEchoR6Nalay on Marc Raibert: Boston Dynamics and the Future of Robotics | Lex Fridman Podcast #412
  2. Laveta Frisco on Exclusive: AI Bests Virus Experts, Raising Biohazard Fears
  3. Lita Garcia on Judge calls out OpenAI’s “straw man” argument in New York Times copyright suit
  4. Eloy Duane on Gladstone softball’s Lauren Sundquist inks letter of intent with MIT | News, Sports, Jobs
  5. Fermin Graybeal on AI Learns Real-Time Defocus Effects in VR

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

LinkedIn Instagram YouTube Threads X (Twitter)
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.