On 21/06/2026, Getty Images announced a multi-year display agreement with OpenAI: Getty's licensed images will appear in the search/discovery experience of ChatGPT. This is a display agreement, not for training. According to reports, Getty stock (GETY) jumped sharply after the announcement.
Quick summary
- When: 21/06/2026.
- What: Getty licensed images displayed in ChatGPT (a display agreement, not training).
- Market: Getty stock (GETY) soared after the news (per reports).
- Why it matters: a signal of the era of 'AI paying for licensed content'.
What happened?
According to Getty Images' press release, this is an agreement for Getty's licensed images to be displayed within OpenAI's product, with source attribution. The key point emphasized: this is a display agreement, different from licensing data to train a model.
Why this matters
Amid numerous copyright disputes between AI companies and content owners, a transparent commercial agreement like this is a signal of the era of 'AI paying for content'. For businesses, it's a reminder about using AI legally: pay attention to data provenance and copyright when bringing AI into your workflows.
A perspective for businesses
When deploying AI internally, a business controls the data sources fed into the model — using its own documents and assets, avoiding intellectual property risks. That's part of 'owning your own AI' that Namtech pursues.
Frequently asked questions
Is this an agreement for OpenAI to train on Getty images?
No. According to Getty, this is a display agreement — images appear in ChatGPT with source attribution, different from licensing data for training.
Why did Getty stock rise?
According to reports, the market reacted positively to a new revenue stream from AI. Specific figures are per press reports and are for reference only.
What's the lesson for businesses?
Use AI legally: pay attention to copyright and data provenance. With internal AI, a business controls the data fed into the model.
Use AI on your own data
Namtech deploys internal AI using your business's documents — controlling data sources, avoiding copyright risks.
Book a free consultationNote: This article is compiled from public sources as of 23/06/2026; information is for reference and may change.