# AI-Generated Images Perform as Well as Traditional Stock Photos

Study reveals users don't negatively perceive AI-generated imagery when unaware of its origin.

- **Source:** [NN/g latest articles and announcements](https://brifing.si/source/17d8ae05-4c02-480b-8ade-c72d77f8a007)
- **Published:** 2026-08-21
- **Topic:** [Design & UX](https://brifing.si/c/design)
- **Original article:** <https://www.nngroup.com/articles/ai-generated-images/?utm_source=rss&utm_medium=feed&utm_campaign=rss-syndication>
- **On Brifing:** https://brifing.si/s/16caf693-6e12-4d30-8ed5-ac0707f7a6cc

## Perception of AI Images

A study with 77 participants compared user perceptions of websites featuring either AI-generated or traditional stock images. Without knowing the image origins, participants rated companies' trustworthiness, professionalism, and authenticity. Results showed no significant difference in perception between AI and stock photos. This finding provides valuable insights for design teams considering AI-generated content.

## Research Methodology

The study used six versions of a fictional consulting firm's webpage, differing only in their hero images - three with AI-generated and three with traditional stock photos. Participants viewed each page for 10 seconds before evaluation. Researchers employed mixed-effects analysis and Bonferroni-corrected t-tests for statistical rigor. Open-ended responses underwent thematic analysis to uncover qualitative insights.

## Cost and Speed Benefits

AI-generated images offer substantial advantages over traditional stock photos. Design teams can create customized visuals in minutes, avoiding licensing fees and stock photo limitations. These benefits prove particularly valuable for rapid prototyping and iterative design processes. However, concerns about user reception have previously limited adoption of AI-generated imagery in professional contexts.

## Equivalent User Perception

The study's most striking finding revealed that when users were unaware of image origins, AI-generated and stock photos performed equally in terms of perceived company trustworthiness, professionalism, and authenticity. No statistically significant differences emerged between the two image types, challenging assumptions about AI imagery's perceived inferiority.

## Impact on Design Processes

AI image generation tools are revolutionizing design workflows. Teams can now create bespoke visuals instantly, free from stock photo limitations. This capability opens new possibilities for branding and content strategies. However, ethical considerations and copyright issues surrounding AI-generated content remain unresolved challenges for the industry.

## Industry Implications

The stock photo industry faces significant disruption from AI technologies. Major platforms like Getty Images and Shutterstock have already begun integrating AI-generated content into their offerings. The industry must navigate the balance between traditional photography and AI-generated imagery, a challenge that will shape its future trajectory.

## Future Scenarios

AI image generation technology continues to advance rapidly. In the near future, we may see fully personalized, context-aware visuals generated automatically. This development could fundamentally transform digital experience design. However, concerns about potential misuse and deepfake technology must be addressed as the technology evolves.

## Designer Takeaways

The research suggests designers can confidently incorporate AI-generated imagery, particularly for MVPs, prototypes, and rapid testing. However, maintaining brand consistency and authenticity requires careful consideration. AI tools should be viewed as creativity enhancers rather than replacements for human design skills, offering new possibilities while complementing traditional design expertise.

## Sources covering this story

- https://www.nngroup.com/articles/ai-generated-images/?utm_source=rss&utm_medium=feed&utm_campaign=rss-syndication — 

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_Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._
