Getty Images signs deal to show photos in ChatGPT results. Key takeaways. * Getty Images will provide licensed content to ChatGPT and OpenAI search results * The partnership reverses Getty's previous adversarial stance toward AI companies * Getty has not disclosed whether images can be used for AI training Getty Images has signed a multi-year deal with OpenAI to license its photo and video library for display in ChatGPT and OpenAI's search tools. The partnership marks a significant reversal for a company that spent years fighting AI firms in court. "High-quality, licensed visual content makes AI-powered search and discovery more useful and more trustworthy," Getty CEO Craig Peters said in a statement. "This partnership with OpenAI reflects a shared recognition of that, and together we will deliver richer visual experiences to ChatGPT users." The announcement comes less than a year after Getty signed a similar agreement with Perplexity AI. That deal included a requirement for Perplexity to display image credits with links to the source, addressing concerns about how AI tools attribute licensed content. How did Getty go from suing AI companies to partnering with them? Getty's relationship with AI has been complicated. In September 2022, the company banned all AI-generated art from its library. A few months later, Getty sued Stability AI, alleging the image generator had committed copyright violations by training on Getty's photos without permission. The court rejected that argument late last year. The legal defeat appears to have shifted Getty's strategy. Rather than continue fighting in court, the company pivoted to licensing. In 2023, Getty launched its own generative AI tool, trained exclusively on its library and powered by NVIDIA's Edify model. Every image the tool produces comes with a royalty-free license. The Perplexity deal in October 2025 signaled that Getty was open to working with AI search tools. The OpenAI partnership extends that approach to ChatGPT's massive user base. What does this mean for ChatGPT users? ChatGPT users should see Getty's licensed images appearing in search results and conversations. The change addresses a persistent problem with AI tools: when they surface images, the licensing and attribution are often unclear or nonexistent. Getty's library includes over 500 million photos, illustrations, and videos distributed in more than 160 countries. The deal should reduce OpenAI's legal exposure. AI companies have faced waves of copyright lawsuits from content creators, and licensing agreements offer a straightforward defense. Will Getty's images be used to train OpenAI's models? Getty has not disclosed whether the OpenAI deal allows images to be used for AI training. The Perplexity agreement explicitly prohibited training on Getty content. If the OpenAI deal follows the same structure, the images would only be displayed in results, not fed into model development. This distinction matters. Training on copyrighted images was the core allegation in Getty's lawsuit against Stability AI. If Getty is now allowing training, it would represent a complete abandonment of its earlier legal position. If training remains off-limits, the deal is purely about distribution rights. Neither Getty nor OpenAI has clarified this point publicly. The broader pattern: litigation to licensing. Getty's shift mirrors a trend across the content industry. News publishers, record labels, and image libraries initially responded to AI with lawsuits. Many are now signing licensing deals instead. The calculus is simple: courts have been skeptical of copyright claims against AI training, and licensing generates revenue. Perplexity has faced its own lawsuits over alleged illegal use of copyrighted materials. The Getty partnership included requirements around image attribution, which suggests content owners can negotiate specific protections even outside of court. OpenAI has been aggressive about signing content deals. The Getty agreement adds visual content to a portfolio that already includes partnerships with news organizations. For AI companies, these deals provide legal cover and better content. For content owners, they provide revenue from technology that's using their work regardless. Frequently asked questions. Getty images will appear in ChatGPT and OpenAI search results where relevant. The exact implementation depends on how OpenAI integrates the licensed content into its tools. Can OpenAI train its models on Getty's photos? Getty has not disclosed whether the deal allows AI training. The company's similar deal with Perplexity explicitly prohibits training on Getty content. Why did Getty stop fighting AI companies in court? A court rejected Getty's copyright claims against Stability AI late last year. The legal defeat appears to have prompted a shift toward licensing deals instead of litigation. How many images does Getty have? Getty's library includes over 500 million photos, illustrations, and videos distributed across more than 160 countries. Logicity's take. Getty's pivot from plaintiff to partner says more about the courts than about AI ethics. When judges signaled they wouldn't treat AI training as copyright infringement, content owners lost their leverage. Licensing deals are the fallback. The real question is price: are these agreements worth what Getty would have won in a successful lawsuit, or is the company settling for pennies to avoid getting nothing? Until the financial terms leak, Logicity Pvt Ltd won't know whether this is a win or a capitulation. Need help implementing this? If your company is navigating AI content licensing or building products that integrate licensed media, its team can connect you with specialists in AI copyright law and content partnerships. Contact Logicity Pvt Ltd at [email protected]. المقال الجديد يتضمن معلومة مهمة جديدة: ارتفاع سهم Getty Images بنسبة 200% في تداولات ما قبل افتتاح السوق بعد الإعلان عن الصفقة، بعد أن كان قد انخفض بنسبة 55% في وقت سابق من هذا العام. كما يشير إلى أن الشركة لا تزال تنتظر الموافقة على صفقة الاستحواذ على Shutterstock بقيمة 3.7 مليار دولار. Manaal Khan Tech & Innovation Writer

"Stability AI" unveils an artificial intelligence model capable of producing music. Musical clips exceeding 6 minutes Riyadh - Al Arabiya Business Published: May 21, 2026: 12:44 PM GST Last updated: May 21, 2026: 9:31 PM GST * Link copied Listen to the article: audio text automatically generated by an automated system 2 minutes to read Stability AI, the developer of the famous Stable Diffusion model, announced the launch of a new series of audio artificial intelligence models under the name Stable Audio 3.0, which represents a major leap in the field of music generation using AI. According to the company, the most powerful model in this series is capable of producing professional-quality musical pieces exceeding six minutes in length, while maintaining musical structure and melodic consistency throughout the work. ADVERTISING The new series includes four different models: a small model dedicated to sound effects (459 million parameters), another small model with the same specifications, as well as a medium model (1.4 billion parameters), and a large model (2.7 billion parameters), according to a report published by TechCrunch and reviewed by Al Arabiya Business. Stability AI says the two small models can generate audio and musical clips up to two minutes long, while the medium and large models can produce full pieces of up to 6 minutes and 20 seconds while maintaining musical sequence. This represents a significant development compared to the Stable Audio 2.0 release, launched in 2024, which was limited to producing much shorter clips. The company announced that the small and medium models will be available under open weights, allowing developers to use and modify them freely, while the large model will only be available via an API and paid services or through self-hosting. It also clarified that companies with annual revenues exceeding one million dollars will need a special enterprise license to use the large model. This launch comes amid growing competition in the AI music generation sector, with companies like Google and ElevenLabs developing similar tools. However, this sector also faces increasing legal challenges, following lawsuits related to companies like Suno and Udio, amid debate over the use of music data and licenses with production companies. In this context, Stability AI signed agreements last year with Warner Music Group and Universal Music Group to develop music models and tools based on licensed data. The company confirmed that its new models have been fully trained on licensed data, in an attempt to enhance their legal reliability within a sensitive sector. The company also revealed that it is working on developing a product package aimed at professional musicians, without disclosing further details, with Ethan Kaplan, former digital director at Universal Audio and Fender, joining to lead this new direction. The AI music market is witnessing a rapid race among companies to attract expertise from the traditional music sector, where companies like Suno and ElevenLabs have hired former executives from major music production companies to bolster their commercial and strategic presence.

Stability AI brings AI audio to brand production. Image: AndersonPiza/Envato May 20, 2026 eWeek content and product recommendations are editorially independent. Legal Tech LLC may make money when you click on links to its partners. Learn More Stability AI wants brands to stop hunting for stock music and start generating their own. Its new Stable Audio 2.5 model can create tracks up to three minutes long, support audio inpainting, and run through WPP's global client network. For agencies, marketers, and creative teams, the goal is faster custom audio for ads, games, short-form video, retail experiences, and other campaign work. From prompts to campaign audio. According to Stability AI's announcement, Stable Audio 2.5 is built for enterprise sound production and can generate tracks up to 3 minutes long in under 2 seconds of GPU inference time. Stability AI also said the model was post-trained using a method it calls Adversarial Relativistic-Contrastive training, which is designed to improve quality and speed. The company said Stable Audio 2.5 responds to mood and genre prompts, including terms such as "uplifting" or "lush synthesizers." The older Stable Audio Open model was more limited. In 2024, TechCrunch reported that it could generate recordings up to 47 seconds long and was not meant to create full songs, melodies, or vocals. Stability AI's own Stable Audio Open release also described that model as a tool for short audio samples, sound effects, and production elements. Stable Audio 2.5 is designed for creative teams who need music and sound across multiple formats. Stability AI said the model is available through its API, partner platforms including fal, Replicate, and ComfyUI, and on-premises through an enterprise license. The WPP connection explains the intended buyer. Stability AI said it is partnering with amp, a sound branding agency within WPP's Landor Group, to co-develop enterprise audio solutions. Stable Audio 2.5 will also be available to WPP's global client base through WPP Open. For a brand team, that could mean generating different versions of a campaign soundtrack, refining a short audio cue, or adapting sound for several channels without starting from scratch each time. What brands need to check. Audio inpainting is one of the more practical additions. Stability AI's prompt guide says users can upload an audio clip, choose a start point or time range, and have the model complete the composition using surrounding context. The company's terms require uploads to be free of copyrighted material, and Stability AI says it uses content recognition to help prevent infringement. Stability AI describes Stable Audio 2.5 as commercially safe and trained on a fully licensed dataset. For brand teams, that claim affects whether a generated track can move through legal review, campaign approval, and public distribution without creating new copyright concerns. The copyright backdrop is still active. The UK has been weighing stricter rules around AI training and creative rights, with lawmakers pressing for more transparency and licensing protections for creators. Stable Audio 2.5 also arrives as audio and voice become a larger part of the AI product race, from AI assistants to rumored audio-first AI devices. For creative teams, the practical change is speed and variation. A brand that needs music for a product video, a seasonal ad, and several social cuts could quickly generate options, then refine the results through inpainting or a custom model built around its own sound library. That does not remove the need for composers, audio directors, licensing checks, or human review. It gives agencies another way to produce and adapt sound across campaign formats while keeping licensing, provenance, and approval questions in the production process. Also read: OpenAI's latest voice AI update shows how quickly companies are turning voice tools into systems that can listen, respond, translate, and act.