AI image generators are everywhere. Midjourney, DALL-E, Stable Diffusion, Adobe Firefly -- if you run a website or create content, there's a good chance AI-generated images are already in your workflow.

But there's a problem most people aren't thinking about: AI-generated images sit in a legal gray zone that creates real risk on both sides. You probably can't copyright them. And they might infringe someone else's copyright without you knowing.

Here's what actually matters if you're using AI images for business.

Can You Copyright AI-Generated Images?

Short answer: mostly no.

The US Copyright Office has been consistently clear on this. Copyright requires human authorship. If an AI creates the image, no human author exists, and no copyright attaches.

The key rulings so far:

Thaler v. Perlmutter (2023). Stephen Thaler tried to register a copyright for an image created entirely by his AI system, DABUS. The court said no. The Copyright Office and then a federal judge confirmed that works created autonomously by a machine cannot be copyrighted. Only humans can be authors under US law.

Zarya of the Dawn (2023). This one added nuance. Kristina Kashtanova created a comic book using Midjourney-generated images with her own text and arrangement. The Copyright Office ruled that while the overall selection and arrangement of the comic could be copyrighted, the individual AI-generated images could not. The parts a human created were protectable. The parts the AI created were not.

Where it gets interesting in 2026. Courts and the Copyright Office are starting to grapple with the spectrum between "type a prompt and hit generate" and "use AI as one tool in a heavily human-directed creative process." If you sketch a composition, use AI to generate elements, then significantly modify, combine, composite, and paint over those elements in Photoshop, there's a stronger argument for human authorship. The more human creative control you exercise, the stronger your claim.

But if you're grabbing raw Midjourney outputs and putting them on your website? Those images almost certainly have no copyright protection. Anyone can use them. You can't send takedown notices if someone copies them.

For businesses, this means AI-generated marketing images, product visuals, and blog illustrations you create may not be protectable intellectual property. That's worth thinking about before you build a brand identity around them.

The Other Side: AI Images Can Infringe Existing Copyrights

This is the risk most people underestimate. Just because an AI generated an image doesn't mean that image is free of copyright problems. In fact, the way these models work makes infringement a real concern.

How AI Image Models Learn

Models like Stable Diffusion, Midjourney, and DALL-E were trained on billions of images scraped from the internet. Many of those images are copyrighted. The models learn patterns, styles, compositions, and -- critically -- specific visual elements from that training data.

Researchers have demonstrated that diffusion models can and do memorize training images. A 2023 study from Google and UC Berkeley showed that Stable Diffusion could reproduce near-exact copies of training images under certain conditions. This isn't theoretical. It happens.

When you prompt an AI to generate "a professional photo of a sunset over the Golden Gate Bridge," the output is a statistical remix of every sunset and Golden Gate Bridge photo the model was trained on. Most of the time the result is sufficiently novel. Sometimes it's not.

The Lawsuits

Getty Images v. Stability AI. This is the big one. Getty sued Stability AI (maker of Stable Diffusion) claiming the model was trained on millions of Getty's copyrighted images without permission. Getty presented evidence of generated images that contained remnants of the Getty Images watermark -- a clear sign the model had memorized copyrighted content. The case settled in 2024, but the underlying issue hasn't gone away. Other models, other lawsuits, same fundamental problem.

Class action by artists. A group of artists including Sarah Andersen, Kelly McKernan, and Karla Ortiz filed a class action against Stability AI, Midjourney, and DeviantArt. Their argument: these models can generate images "in the style of" specific artists because they were trained on those artists' copyrighted work without consent. Parts of the case survived initial motions to dismiss, and litigation continues.

Thomson Reuters v. Ross Intelligence and various text-based AI copyright cases are establishing precedent that will likely extend to images. The direction of travel in the courts is toward recognizing that training AI on copyrighted material without permission raises serious legal questions.

Real Risks for Businesses Using AI Images

This isn't abstract. Here are the scenarios that actually get companies in trouble.

An AI image looks too much like a copyrighted photo

You prompt Midjourney to create "a businessman shaking hands in a modern office." The output happens to closely resemble a popular stock photo from Shutterstock or Adobe Stock. You publish it on your website. The stock agency's automated crawler finds the visual similarity. You receive a demand letter for $1,500 to $25,000.

This is already happening. Stock agencies use visual similarity technology to find matches, and they don't care whether the match was generated by AI or copied manually. If the output looks like their image, their legal team sends a letter.

AI generates recognizable brand elements

Ask an AI to create "a sports drink bottle on a gym bench" and it might generate something that looks suspiciously like a Gatorade bottle, complete with the lightning bolt logo. AI models have ingested millions of branded images and can reproduce trademarked logos, product designs, and trade dress without you explicitly asking for them.

Publishing an image with recognizable brand elements exposes you to trademark infringement claims, even if you never mentioned the brand in your prompt.

AI generates celebrity likenesses

Prompt an AI for "a famous actor in a leather jacket" and you might get an output that clearly resembles a real person. Even if the result isn't photorealistic, a recognizable likeness can violate right of publicity laws in many US states. These laws give individuals control over commercial use of their name, image, and likeness.

Celebrities and their estates actively enforce these rights. Using an AI-generated image that resembles a real person in commercial content -- ads, product pages, social media marketing -- is a liability.

How to Protect Yourself

AI-generated images aren't inherently dangerous, but treating them as automatically safe is a mistake. Here's a practical workflow.

1. Scan AI outputs for visual similarity before publishing

This is the most important step. Before any AI-generated image goes on your website, blog, or social media, check whether it visually resembles existing copyrighted images.

PixGuard runs visual similarity analysis against known copyrighted image databases. Upload your AI-generated image, and it tells you if there's a match or near-match that could trigger a copyright claim. It's the same technology stock agencies use to find infringement, except you're using it proactively.

2. Check for watermark residue

AI models trained on watermarked images sometimes reproduce faint watermark artifacts in their outputs. These are often invisible to the naked eye but detectable with the right tools.

Use our free watermark detector to check AI-generated images for residual watermark patterns. If the tool finds traces, that image is almost certainly derived from copyrighted source material. Don't publish it.

3. Check metadata for AI generation markers

Many AI generators now embed metadata indicating the image was AI-created. This is increasingly important as platforms and regulators push for AI content labeling. Some stock agencies specifically flag and reject AI-generated content.

Our free metadata checker extracts and displays all embedded metadata, including C2PA content credentials and AI generation indicators. Know what's in your image files before they go live.

4. Use models with known, licensed training data

Not all AI image generators are equal in terms of legal risk.

Adobe Firefly is trained exclusively on Adobe Stock images, openly licensed content, and public domain material. This significantly reduces the risk of generating outputs that infringe specific copyrighted works.

Shutterstock's AI generator is trained on Shutterstock's own licensed library and includes an indemnification clause for enterprise customers.

Models like Stable Diffusion (open source, trained on broad web scrapes) carry higher risk because their training data includes copyrighted material without explicit permission.

If copyright safety matters to your business, choosing a model with transparent, licensed training data is one of the most effective steps you can take.

5. Keep your prompts and generation records

Save your prompts, settings, model versions, seeds, and timestamps for every AI image you use commercially. If a copyright dispute arises, this documentation demonstrates that you generated the image through AI rather than copying it directly. While this doesn't guarantee you're in the clear, it shows good faith and helps establish that any similarity was unintentional.

Some organizations are building formal AI image generation policies that require logging all prompts and outputs. If you're using AI images at scale, consider doing the same.

The Legal Landscape in 2026

The law around AI-generated images is still being written. Here's where things stand and where they're heading.

What's settled

Purely AI-generated images without significant human creative input are not copyrightable in the US.
Using copyrighted images to train AI models without permission is being actively challenged in court.
Existing copyright, trademark, and right of publicity laws apply to AI outputs the same way they apply to any other content. Generating an infringing image with AI is not a defense.

What's still in play

The fair use question. Is training an AI on copyrighted images "transformative use" protected by fair use? Courts haven't given a definitive answer. The Supreme Court's 2023 ruling in Andy Warhol Foundation v. Goldsmith narrowed the transformative use doctrine, which doesn't bode well for AI training on copyrighted data.
The EU AI Act is now in effect and includes transparency requirements for AI-generated content. Businesses operating in Europe need to disclose when content is AI-generated. Other jurisdictions are following suit.
Proposed US legislation. Multiple bills have been introduced in Congress addressing AI and copyright, including proposals to require AI companies to disclose training data and to create licensing frameworks. Nothing has passed yet, but the legislative direction is toward more regulation, not less.
Model-level solutions. Some AI companies are building opt-out mechanisms for rights holders and adding content credentials to outputs. These technical solutions may reduce friction but don't resolve the underlying legal questions about existing models already trained on copyrighted data.

The likely direction

Expect more clarity over the next one to two years as the major lawsuits reach resolution or trial. The most probable outcome is a framework where AI companies need some form of permission or compensation for using copyrighted training data, and where users bear responsibility for ensuring their AI outputs don't infringe existing rights.

In the meantime, the risk falls on the publisher. If an AI-generated image on your website infringes someone's copyright, you're the one who receives the demand letter. Not Midjourney. Not Stable Diffusion. You.

Don't Assume AI Images Are Safe

The convenience of AI image generation is real. But "an AI made it" is not a copyright defense, and it's not a guarantee of originality.

Before you publish AI-generated images on your website, social media, or marketing materials, scan them. Check for visual similarity to known copyrighted works. Check for watermark residue. Check the metadata.

PixGuard gives you 100 free credits to scan AI-generated images (or any images) for copyright risk. Upload an image or scan your entire website. You'll get a clear risk score for every image, with detailed explanations of what each detection method found.

It takes less time than generating the image did. And it's a lot cheaper than a demand letter.

Start scanning for free -- no credit card required.

AI-Generated Images and Copyright: What You Need to Know in 2026