---
title: Americans Now Spend Hours a Week Fact-Checking What AI Tells Them
description: A 2026 survey finds Americans spend hours weekly verifying AI outputs, and trust human authored sources nearly four times more.
author: Darie Nani (Editor-in-Chief)
date: 2026-07-25T14:14:07.893Z
updated: 2026-07-25T14:14:07.907Z
canonical: https://www.sovereignmagazine.com/article/scribd-ai-trust-verification-survey
image: https://cdn.nanimediahouse.com/ai-trust-verification-survey-31052.webp
categories: Science & Tech
content_type: News
region: United States
publication: Sovereign Magazine
schema_type: Article
---

More than two thirds of Americans now spend between one and six hours every week double-checking what artificial intelligence and search engines tell them, and more than one in five of all respondents put in four to six hours, according to the 2026 Understanding Index, a survey of 1,500 US adults published by Scribd, the document sharing platform, and augmented with 200 students and 200 educators. Nearly half say the checking is non-negotiable: they make time for it even when busy. Scribd's own business is built on human-uploaded documents, giving it a commercial stake in a finding that favors human authorship over AI summaries.

The habit has grown alongside AI adoption. Nearly two thirds of respondents use AI tools at least weekly, and for more than one in four, an AI chatbot is now the first stop when learning something new. But that convenience has not translated into blind trust. Four in ten people say the hardest part of any research session is simply knowing which sources to believe, twice the rate of any other challenge named.

That gap between using AI and trusting it outright is where the survey's most striking figure sits: subject matter experts and human authored documents score almost four times higher on trust than AI generated summaries.

## Why Knowing What to Trust Is Now the Hardest Part of Research

Three quarters of respondents say a source's author expertise matters a great deal, and almost as many rate citations just as highly. When people try to confirm something, the most common method, cited by three in ten, is finding a second, independent source rather than accepting a single answer at face value.

That instinct sits uneasily with how research now happens. AI tools compress the search for information into a single conversational answer, with no obvious trail back to where the claim came from, and the survey suggests people have noticed the gap and are compensating for it manually.

## The Verification Habit AI Adoption Has Created

The time cost is real. Most people who use AI or search engines for research now make a verification pass a routine part of the process, and a fifth of all respondents spend four to six hours a week on it. Fifty five percent say they have personally caught an AI tool getting something wrong once they went back and checked. Fifty nine percent admit they have used unverified AI output to support a professional decision in the past month regardless.

The pattern is not unique to knowledge platforms. Product.ai's 2026 Trust in AI Commerce Report, a survey of 1,463 US online shoppers, found that among the 43 percent who had used AI for product research in the past 90 days, 86 percent [verified the AI's recommendation through another source](https://product.ai/research/trust-in-ai-commerce-report/) before buying anything, the same instinct applied to a purchase rather than a research question.

## Why Human Sources Still Win on Trust

Mike Lewis, head of Scribd.com, framed the finding as a shift in what people expect AI to do for them, not a rejection of it.

“AI hasn't replaced the need for primary sources,” Lewis said. “It's accelerated it. Sixty percent of people say primary documents are crucial to their research journey, because when the work matters, people want a real, accountable human behind what they're reading.”

> "AI hasn't replaced the need for primary sources. It's accelerated it."
> — Mike Lewis, Head of Scribd.com

## Students Verify More Than Anyone Else

The survey's clearest reversal of expectation is generational. Students trust AI output at roughly half the rate of the general population, 22 percent against 42 percent, and say they encounter inaccuracies in AI answers three times as often. Ninety one percent of students call verification important, and 79 percent say they validate information always or frequently, against 67 percent of the wider population.

That runs against the usual assumption that younger researchers cut corners with new tools. Students, not older professionals, are setting the more careful standard.

Scribd publishes the full 2026 Understanding Index, including breakdowns by student, educator and business professional segments, at [scribd.com](https://www.scribd.com/report/understanding-index).

## FAQ

**Q: How can you verify the accuracy of AI generated information?**
The most common method people use, according to the survey, is finding a separate, independent source that confirms the same claim rather than accepting a single AI answer on its own. Checking a source's stated expertise and looking for citations back to primary documents are the next most common checks.

**Q: Why do people trust AI more than humans in some settings but not others?**
The survey suggests the split runs along the type of task. People are comfortable letting AI summarize or speed up a search, but when the underlying claim actually matters, they still weight human, first-hand expertise nearly four times higher than an AI generated summary, and most add a separate verification step before relying on the answer.

**Q: Why is human authored content considered more trustworthy than AI generated writing?**
Respondents point to accountability. A named author with first-hand expertise, and a document with citations back to primary sources, gives people something to check against. An AI summary strips that trail out, which is why three quarters of people rate author expertise as highly important when judging what to believe.