As the use of Artificial intelligence continues to grow across search engines, social media platforms, and content creation tools, many consumers are becoming more concerned about the accuracy of information online. New survey findings show that more than 75% of users worry that AI could increase the spread of misinformation and make it harder to trust what they see on the internet.
The results highlight a growing trust problem at a time when AI-generated content is becoming more common and harder to identify. AI can now create text, images, audio, and video that look very realistic. This raises questions about what is real, what is false, and how people can tell the difference.
Growing concerns about trust online
A major concern for consumers is whether they can trust the information they find online. Many people who took part in the survey said they are worried that AI systems may spread false or misleading information. This can happen quickly and at a large scale, especially when content is shared widely without being checked.
The issue is not only completely false information. People are also concerned about content that is outdated, taken out of context, or incorrect but written in a confident way. These risks become greater when AI tools summarize or generate information without clearly showing where it comes from.
How AI can spread misinformation
AI systems work by analyzing large amounts of data and identifying patterns. They do not always check whether information is true. Because of this, they can sometimes repeat mistakes, biased information, or incorrect patterns found in their training data.
This becomes more important on platforms where content is automatically generated or recommended. When combined with fast sharing on social media, small errors can spread quickly and become widely believed before they are corrected.
Experts have warned that AI can produce and distribute information much faster than traditional fact-checking systems can respond. Industry observers, including Frank Palermo of NewRocket, have also pointed out that organizations need stronger ways to check and manage information in systems that use AI.
Trust is becoming a key issue
The growing concern about misinformation is part of a larger issue around trust. As AI becomes more common in tools like search engines and digital assistants, people are often unsure how decisions are made or where information comes from.
This lack of clarity makes some users skeptical. They may not know if content was written by a person, created by AI, or changed by automated systems.
For many consumers, the issue is not rejecting AI completely. Instead, it is about understanding how it works and whether it can be trusted. If these concerns are not addressed, people may become less willing to rely on AI tools.
What may happen next
Experts say that solving this problem will likely require several approaches. These include better labeling of AI-generated content, stronger fact-checking systems, and clearer rules about transparency.
Education will also play an important role. As AI-generated content becomes more common, people may need better skills to check sources, compare information, and recognize when content might not be reliable.
Overall, the findings suggest that while AI offers many benefits, its future success will depend on whether people feel confident that the information they see is accurate and trustworthy.
Last updated: July 9, 2026
