Getty Images Seeks Rescue Financing as AI Image Tools Give Strong Competition
Getty Images is in confidential talks with lenders over new rescue financing, including a possible debtor-in-possession loan, as the company deals with falling demand, heavy debt and a stock-price collapse. At the same time, the rise of free AI image generators is attacking the business model Getty built for decades.
Getty Images has reached a point where its financing problems are now serious enough to put a bankruptcy-backed rescue loan on the table.
Bloomberg reported on September 28 that Getty Images Holdings is in confidential discussions with lenders about new financing, with a debtor-in-possession loan among the options being discussed. Such a loan is normally associated with a company operating under bankruptcy protection. The discussions could also result in secured lenders taking control of the business through a bankruptcy process, while members of the Getty family are considering putting fresh money into the company. No final agreement had been reached at the time of the report.
The company is not currently in bankruptcy. Getty used a 30-day grace period for interest payments that were due September 1, then paid those obligations on September 30. Getty said the payments were made within the permitted grace period, meaning no event of default occurred under the relevant bond agreements.
Still, the situation has moved far beyond an ordinary rough quarter.
Getty's photo business is colliding with a new kind of competition
For years, Getty Images sold something that was expensive and difficult to produce: professionally shot photography that businesses, publishers, advertisers and media companies could license for specific uses.
Generative AI has changed that equation for everyone out there.
A user can now describe an image in a text prompt and receive a photorealistic result within seconds. Many AI services offer image generation at little or no direct cost to the user. The technology has also improved enough that companies can produce advertising concepts, product scenes, lifestyle photography and other commercial visuals without commissioning a photographer or searching a stock library for the right shot.
That does not make Getty's entire archive obsolete, as editorial photography, celebrity coverage, sports images, historical material and hard-to-recreate real-world events remain difficult for an image model to replace. Getty itself points to its large archive, global creator network and event coverage as major assets of the stock photos giant.
However, the financial results show that parts of the traditional commercial image business are under pressure.
Getty reported second-quarter revenue of $229.1 million, down 2.5% from a year earlier. Creative revenue fell 2.6%, while editorial revenue rose 9.2%. Getty also reported that its number of active annual subscribers fell 25.2% year over year, from 321,000 to 240,000. Total purchasing customers declined 10%.
Getty has not said that AI alone caused those declines. Its filings point to a mix of competitive pressure, changing customer demand, debt costs, its broader business conditions and the rapid growth of generative AI. The company specifically warns investors that increased use of generative AI could harm its business, brand or intellectual property.
Getty is effectively trying to defend a paid image marketplace while some of the technology competing for the same customer has turned image creation into a prompt-and-click service that's there for free.
The numbers behind the rescue talks
Getty's balance sheet makes the lender negotiations easier to understand.
At the end of June, Getty had $51.6 million in cash and $30 million of remaining availability on its revolving credit facility. The company drew that final $30 million in July. Total debt stood at about $2.1 billion on June 30.
The company also reported a $122.6 million free cash flow loss for the second quarter. Net cash used in operating activities reached $108.7 million, compared with $6.5 million of cash generated from operations in the same quarter a year earlier. Getty said higher cash interest payments and a $110.9 million payment related to litigation were major factors behind the deterioration.
Interest costs are another problem. Getty said second-quarter interest expense increased by $20.8 million, driven partly by higher rates following its 2025 refinancing transactions and debt raised ahead of its planned merger with Shutterstock.
So Getty is fighting two battles at once: the market for commercial visual content is changing, while the company's debt load is consuming cash.
The Shutterstock deal was supposed to help
Getty had been pursuing a roughly $3.7 billion merger with Shutterstock, partly as a way to build greater scale as AI reshaped the stock-image business.
That deal collapsed in July after Getty rejected conditions connected to the UK's competition review. Reuters reported that the proposed transaction had been aimed partly at strengthening the companies against growing competition from AI-generated imagery.
Getty then hired Guggenheim Securities to examine strategic financing alternatives and balance-sheet options. Those discussions are now central to the company's future.
The failed merger also left Getty carrying financing connected to the planned transaction. Although the company later redeemed $628.4 million of 10.5% senior secured notes using money released from escrow, the wider capital structure remains heavily leveraged.
Getty is also building AI tools of its own
There is an unusual twist in this story.
Getty is not standing outside the AI market watching it happen. It launched Generative AI by Getty Images in 2023 and Generative AI by iStock in 2024. The company says those products were trained on its creative content and designed for commercial use.
Getty also announced a multi-year agreement with OpenAI in June under which Getty's licensed content would appear in search and discovery experiences inside ChatGPT.
That strategy says a lot about how quickly the market has changed.
Getty once made money because customers needed images.
Now Getty also needs to make money from the machines that can create images.
The problem is that building an AI product does not automatically replace the revenue that disappears when customers stop buying traditional stock images. Getty's second-quarter figures suggest that transition is still painful, especially in its creative business.
The stock market has already delivered its verdict on Getty's finances
Getty's public-market troubles have become more severe.
On September 29, the New York Stock Exchange said it would begin delisting proceedings and immediately suspend trading in Getty's Class A shares because of "abnormally low selling price" levels.
Getty said it did not intend to appeal. The stock began trading on the OTC Pink Limited Market on September 30 under the same ticker, GETY.
That move came just one day after the Bloomberg report about potential rescue financing.
Getty also postponed its 2026 annual shareholder meeting, which had been scheduled for October 8.
Is AI really the reason Getty is in trouble?
Not by itself.
It would be too simple to look at Getty's financial problems and blame every dollar of lost revenue on AI image tools. Getty has had other burdens, including a large debt load, expensive financing, litigation payments, the failed Shutterstock merger and weaker customer metrics.
Yet AI is hitting the company at exactly the point where its traditional business has become easier to replace.
That is why the Getty story feels different from an ordinary debt crisis.
The company is not simply struggling to refinance an old balance sheet. It is trying to refinance a business model while the product it has sold for decades is being recreated by software, often for a fraction of the cost and in a fraction of the time.
Getty may still have assets that AI cannot easily reproduce, especially its editorial archive, trusted licensing structure, contributor network and access to real events. Its editorial revenue actually grew in the latest reported quarter.
But the pressure on creative imagery is harder to dismiss.
The rescue talks now put a very practical question in front of Getty's lenders: how much capital should be put behind a company whose customers have more ways than ever to make images without buying them?
