What the deal covers, and what it excludes

The agreement allows images from Getty's library of approximately 609 million photographs to surface within ChatGPT's search display, folding richer visual content into the chatbot's results. Craig Peters, chief executive of Getty Images, described the arrangement as a recognition that licensed content makes AI search more useful.

"High-quality, licensed visual content makes AI-powered search and discovery more useful and more trustworthy. This partnership with OpenAI reflects a shared recognition of that, and together we will deliver richer visual experiences to ChatGPT users."

Crucially, the deal explicitly excludes training data rights. OpenAI cannot use Getty's images to train its own image generator, Dall-E, according to Getty's announcement of the partnership. Neither company disclosed financial terms. The structure positions this as a display-and-discovery partnership rather than a wholesale handover of intellectual property.

Shares in Getty Images jumped as much as 65 cents, or roughly 108 per cent, to $1.26 in early afternoon trading in New York, according to Bloomberg. The stock had lost more than 50 per cent of its value in 2025 before the announcement, weighed down by fears that AI-powered image generators could hollow out demand for traditional photo libraries. Even after the surge, the price remains far below the roughly $28 level at which Getty listed via a SPAC transaction in 2022.

From courtroom to contract: why Getty changed course

The OpenAI deal marks a striking reversal for a company that pursued aggressive litigation against another AI developer and lost.

In 2023, Getty sued Stability AI, the UK-based developer behind the Stable Diffusion model, alleging it had scraped more than 12 million images from Getty's library without permission. The case reached the UK High Court, where the outcome exposed the limits of existing copyright law for rights holders.

Unable to prove that the training had taken place in the UK, Getty was forced onto a secondary infringement claim, arguing that Stability had effectively imported an infringing product in breach of British copyright rules, as reported by Business Matters. The judge found against the agency, ruling that Stability's model did not actually store or copy images from Getty's library. The decision was widely read as a setback for rights holders, even as parallel proceedings continue in the United States. Stability itself had earlier characterised the lawsuit as an "existential threat" to the generative technology industry, according to Business Matters reporting at the time.

Having tested the courtroom route and found it wanting, Getty appears to have concluded that licensing offers a surer path to revenue. The logic is pragmatic: if AI tools are going to reshape how people find and use images, a rights holder is better served by negotiating a seat at the table than by fighting protracted legal battles with uncertain outcomes.

The broader licensing trend

Getty is not the only content owner reaching the same conclusion. Across publishing, music and now stock photography, licensing deals have emerged as the industry's preferred commercial response to generative AI.

Getty signed a comparable agreement with Perplexity AI in November 2025, according to the company. OpenAI has lined up deals with major publishers including News Corp, owner of The Times, as well as The Guardian and the Financial Times. The pattern is consistent: AI companies need high-quality, attributable content to make their products credible; content owners need new revenue lines to offset the disruption those same products are causing.

The Shutterstock merger and the consolidation logic

The OpenAI deal is one leg of a three-part strategy. Getty is simultaneously finalising a $3.7 billion merger with long-time rival Shutterstock, according to company filings.

The consolidation logic rests on two arguments. First, combining the two largest commercial photo libraries creates a catalogue of unrivalled scale, giving the merged entity greater bargaining power in future licensing negotiations with AI platforms. Second, the combined business intends to invest in its own proprietary image-generation tools, rather than ceding that territory entirely to Silicon Valley developers.

For a company whose share price has fallen from around $28 at listing to $1.26 after a dramatic rally, the merger represents a bet that scale still matters in a market being reshaped by generative models. Whether the combined entity can build image-generation products competitive with Dall-E, Midjourney and their successors remains an open question, but the strategic intent is clear: Getty and Shutterstock want to be suppliers of both raw imagery and AI-generated content, not victims of the latter.

What content-owning businesses should take from this

The Getty case study carries implications well beyond stock photography. Any business that creates or owns proprietary content, whether editorial, visual, audio or data, faces a version of the same question: how to extract value from assets that AI systems want to consume.

Several patterns are emerging from the deals signed so far.

Licensing terms are narrowly drawn. The Getty-OpenAI agreement covers display rights only, not training rights. This distinction matters. Businesses entering licensing discussions with AI platforms should expect to negotiate granular permissions rather than blanket access.

Litigation has limits. The UK High Court ruling against Getty demonstrated that existing copyright frameworks were not designed for the mechanics of AI training. Until legislators close those gaps, courtroom strategies carry significant risk and cost.

Scale improves negotiating position. The Shutterstock merger is partly a response to the reality that AI companies have many potential content partners. A larger catalogue commands more attention and, presumably, better commercial terms.

AI consumption may become a distinct revenue line. Just as digital syndication created new income streams for publishers in the 2000s, packaging content for AI platforms appears to be developing into a category of its own. Businesses with well-organised, rights-cleared archives are better positioned to move quickly when these opportunities arise.

None of this guarantees that the economics will prove durable. Financial terms of the Getty-OpenAI deal remain undisclosed, and it is unclear whether licensing fees will compensate for any erosion in Getty's core business as AI-generated imagery improves. The 108 per cent share price jump reflects relief and speculation in roughly equal measure; the stock's distance from its listing price is a reminder of how much ground remains to be recovered.

Still, the direction of travel is notable. A rights holder that sued, lost, and then signed a licensing deal with a different AI company has, in the space of months, sketched out the commercial playbook that many content owners are likely to follow. For operators in media, creative services and adjacent sectors, the lesson is less about Getty's specific fortunes and more about the emerging architecture of AI-era content commerce: narrow licences, consolidated catalogues, and a pragmatic acceptance that the courtroom is not where the money is.