How AI Image Generators Are Upending the Stock Photography Business
The stock photography industry is going through a massive shift. For decades, designers, marketers, and publishers spent hours searching through massive catalogs to find the perfect image. Now, they can simply type a few words into an artificial intelligence tool and generate exactly what they need in seconds. This rapid technological shift forces legacy giants like Getty Images and Shutterstock to quickly adapt their business models to survive.
The Immediate Threat of Instant Custom Visuals
Before 2022, buying stock photography meant compromising. If you needed a photo of a diverse team working in a futuristic office, you had to hope a photographer had already staged and uploaded that exact scene.
Today, platforms like Midjourney v6, OpenAI’s DALL-E 3, and Stable Diffusion allow users to create those specific visuals from scratch. This fundamentally undercuts the traditional stock photo model in two ways:
- Cost: A standard subscription to Midjourney costs between $10 and $30 per month for hundreds of generations. Licensing a single high-resolution, rights-managed photo from a premium stock agency can easily cost hundreds of dollars.
- Customization: Users are no longer limited to what exists. They can control the lighting, the mood, the subject matter, and the exact aspect ratio of the image.
Faced with this existential threat, the major stock photo platforms are fighting back, but they are taking very different approaches to secure their futures.
Getty Images Fights Back in Court and in the Cloud
Getty Images originally took a defensive stance against the rise of artificial intelligence. In early 2023, Getty filed a high-profile lawsuit against Stability AI, the creators of Stable Diffusion. Getty alleged that the tech company unlawfully scraped more than 12 million copyrighted images from its database to train its AI models.
However, Getty realized that suing competitors was not a complete business strategy. To stay relevant, the company launched its own tool called “Generative AI by Getty Images.”
Getty partnered with Nvidia to build this tool using the Nvidia Picasso architecture. Unlike public image generators, Getty trained its AI exclusively on its own massive library of licensed content. This provides a crucial benefit for major brands: commercial safety. When an advertising agency uses Getty’s AI generator, Getty guarantees that the resulting image will not infringe on any third-party copyrights. Furthermore, Getty introduced a compensation model to pay the original photographers whose work was used to train this specific AI model.
Shutterstock Embraces the Disruption with OpenAI
While Getty went to court, Shutterstock decided to partner directly with the disruptors. Shutterstock took an aggressive “if you cannot beat them, join them” approach by forming a deep strategic partnership with OpenAI.
Instead of building its own AI model from scratch, Shutterstock integrated OpenAI’s DALL-E technology directly into its search platform. When users cannot find the exact photo they want in the existing Shutterstock library, they can click a button to generate it using DALL-E.
Shutterstock also recognized that it possessed something incredibly valuable to AI companies: clean, tagged, high-quality training data. The company has secured lucrative deals to license its image library to major tech firms like Meta, Amazon, and LG to train their respective AI models.
To keep its human contributors happy, Shutterstock launched the Contributor Fund. This system tracks when an artist’s image is used in an AI training dataset and pays them a royalty. This creates a new passive income stream for photographers, even if their specific photos are never downloaded by an end user.
Adobe Firefly and the Enterprise Safety Net
Adobe Stock is another major player that has rapidly evolved. Adobe launched Adobe Firefly, its own family of creative generative AI models. Like Getty, Adobe trained Firefly entirely on Adobe Stock images, openly licensed content, and public domain content where copyright has expired.
Adobe integrated Firefly directly into Photoshop and its stock website. To win over large corporate clients who are terrified of copyright lawsuits, Adobe offers full legal indemnification. If a business is sued for using an image generated by Adobe Firefly, Adobe promises to cover the legal costs. This specific guarantee makes Adobe Stock a highly attractive option for risk-averse enterprise companies.
What This Means for Human Photographers
The rise of AI does not mean the end of human photography, but it completely changes what buyers are willing to pay for.
Generic stock photos (like a smiling person holding a blank sign or a close-up of a handshake) are easily replaced by AI. Photographers who relied on selling these simple, staged concepts are seeing a sharp decline in downloads.
However, AI currently struggles with strict authenticity. News organizations, documentary publishers, and trustworthy brands still require real photos of real events, actual specific products, and genuine human emotions. The demand for highly authentic, editorial photography remains incredibly strong. Many photographers are shifting their focus away from staging generic office scenes to capturing real-world photojournalism and unique locations that AI cannot authentically replicate.
Frequently Asked Questions
Can you copyright an AI-generated image? Currently, the U.S. Copyright Office maintains that you cannot copyright an image that is entirely generated by artificial intelligence. Copyright protection requires human authorship. This makes some businesses hesitant to rely entirely on AI images for their core branding.
Are AI-generated stock photos safe for commercial use? It depends on the platform you use. Images generated by public tools trained on scraped internet data carry legal risks. However, platforms like Getty Images and Adobe Stock offer commercially safe AI generators because they own the rights to the training data and offer legal protection to their users.
Will Shutterstock and Getty stop accepting human photography? No. Both companies actively encourage new uploads from human photographers. Fresh, culturally relevant photography is constantly needed to reflect current fashion, new technology, and modern events. Furthermore, both companies need fresh human photography to continue updating and training their AI models.