Shutterstock Expands Commercial-Ready GenAI Solutions with AI Video Generator

Shutterstock (NYSE: SSTK) launched its AI Video Generator on April 15, 2026, a unified solution combining leading text- and image-to-video models with Shutterstock's large licensed asset library.

Rhea-AI Summary

Shutterstock (NYSE: SSTK) launched its AI Video Generator on April 15, 2026, a unified solution combining leading text- and image-to-video models with Shutterstock's large licensed asset library.

The tool includes two free generations, integrates models from Google and Runway, and offers clear commercial licensing for scalable video creation.

Positive

• Launch date April 15, 2026 for AI Video Generator
• Two free generations included for customers to trial
• Integrated models from Google and Runway within one platform

Negative

• None.

Argus Apr 15 session

+1.02% close to close Open Argus

Details

News Market Reaction – SSTK

In the Apr 15 session, SSTK gained 1.02%, reflecting a mild positive market reaction.

Data tracked by StockTitan Argus on the day of publication.

Market Context

This announcement extends Shutterstock’s AI strategy into video, unifying text- and image-to-video m...

Analysis

This announcement extends Shutterstock’s AI strategy into video, unifying text- and image-to-video models with its licensed asset library to create commercial-ready outputs. It builds on prior AI initiatives around data licensing, model training, and workflow integrations. Investors may track how quickly customers adopt the AI Video Generator, usage beyond the initial 2 free generations, and how these tools reinforce Shutterstock’s positioning in enterprise-grade creative and AI services.

Key Figures

Free AI video generations: 2 generations

Free AI video generations

2 generations

Initial usage allowance in AI Video Generator

Previous AI Reports

4 past events · Latest: Apr 01

Same Type 4 events

1. Apr 01

   AI workflow integration

   24h Move

   -0.6%

   Launch of Shutterstock app in ChatGPT for licensable multimedia discovery.

2. Mar 19

   AI dataset expansion

   24h Move

   +1.5%

   Major expansion of licensed multimodal training datasets for generative AI.

3. Oct 07

   AI services launch

   24h Move

   -4.3%

   New AI services suite for model training, fine‑tuning and evaluation.

4. Jun 20

   External AI platform

   24h Move

   -0.6%

   AI messaging platform launch by Backstroke, tagged within broader AI theme.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Key Terms

genai, text- and image-to-video models, multimodal, generative models, +4 more

8 terms

genai technical

"Shutterstock, Inc. (NYSE: SSTK), a family of brands delivering scalable creative and GenAI solutions, announced the launch"

Generative AI (genai) is a type of artificial intelligence designed to create new content, such as text, images, or music, that resembles human-produced work. It matters to investors because it has the potential to transform industries by automating tasks, enhancing creativity, and enabling new products and services, which can influence company performance and market opportunities.

text- and image-to-video models technical

"announced the launch of its AI Video Generator, which brings together leading text- and image-to-video models"

Text- and image-to-video models are artificial intelligence systems that create moving images from written descriptions or from a single picture, like a virtual filmmaker that turns a script or a photo into a short clip. They matter to investors because they can cut production costs, enable new kinds of digital advertising and entertainment products, and disrupt industries that make or license video, while also introducing regulatory, ethical, and competitive risks that can affect company value.

multimodal technical

"rights-cleared multimodal datasets with advanced data curation and custom training datasets"

Multimodal describes an approach, product, or system that uses two or more different types of inputs, methods, or channels — for example combining text, images and audio in a technology product, or blending drugs, devices and therapy in medical care. For investors, multimodal solutions can broaden market reach and competitive differentiation but also add development cost, operational complexity and regulatory hurdles; think of it like a hybrid car that offers more capabilities but requires more parts and oversight.

generative models technical

"custom training datasets to power high-performing, deployment-ready generative models."

Generative models are computer systems that learn patterns from existing data and produce new content—like text, images, music or simulated scenarios—similar to how a skilled chef uses recipes to create new dishes. For investors they matter because these models can create products, automate tasks, and cut costs or open revenue streams, while also introducing risks around accuracy, regulation, and competitive disruption that can affect a company’s value.

data provenance technical

"updated multimodal content with clear data provenance to support AI compliance."

The record of where a piece of data came from, how it was created or changed, and who handled it over time. For investors, data provenance is like a recipe plus a receipt: it shows the ingredients, who mixed them, and any alterations, so you can judge whether information is reliable, trace errors, meet regulatory checks, and make confident decisions based on that data.

ml-assisted evaluation technical

"Shutterstock leverages ML-assisted evaluation tools to provide model training, fine-tuning, alignment"

Machine learning–assisted evaluation uses computer models that learn from data to help analyze assets, financial reports, clinical results, or other business indicators. It matters to investors because it can spot patterns, speed up review, and surface risks or opportunities that humans might miss—like a tireless assistant that highlights the most relevant signals—while still requiring human oversight for judgment and to guard against errors or biased inputs.

human-in-the-loop technical

"Through human-in-the-loop workflows, expert creative feedback, and structured preference data"

Human-in-the-loop describes systems where people supervise, check, or make final decisions on work performed by automated tools or algorithms. Like a pilot overseeing an autopilot, humans step in to catch errors, interpret nuance, and apply judgment that machines may miss. For investors, this matters because human oversight can reduce operational and regulatory risk, improve decision quality, and increase trust in results produced by automated systems.

regression testing technical

"aesthetic preference signals, benchmarking, and regression testing to drive continuous model improvement."

Regression testing is the process of re-checking software after updates or fixes to make sure existing features still work the same way. Think of it as walking through a renovated house to confirm the lights, plumbing and doors still function after repairs; for investors, it matters because reliable software reduces the risk of costly outages, compliance failures or damaged reputation that can hurt revenue and valuation.

AI-generated analysis. How Rhea-AI works. Not financial advice.

See more from StockTitan in Google Search and AI answers. Adds StockTitan as a preferred source · opens Google

Add on Google Not now

An integrated creative system where premium content and AI converge to deliver high-quality, licensable outputs

NEW YORK, April 15, 2026 /PRNewswire/ -- Today, Shutterstock, Inc. (NYSE: SSTK), a family of brands delivering scalable creative and GenAI solutions, announced the launch of its AI Video Generator, which brings together leading text- and image-to-video models in one unified solution. By combining powerful video generation models with one of the world's largest content collections, Shutterstock empowers teams of all sizes to produce commercial-ready video—defined by high-quality standards and clear licensing. Designed for use at every stage of the creative process, from early exploration to go-to-market execution, Shutterstock's AI Video Generator enables customers to test concepts, ideate on different directions, and generate video assets that drive impact.

One Solution for Commercial-Ready GenAI

"Our customers trust Shutterstock's AI image tools to deliver usable results, and with this launch, we're extending that trust to video with a new tool designed to deliver impact for all our customers," said Paul Teall, Vice President of Marketplace Strategy at Shutterstock. "With two free generations included, customers can quickly experience the power of AI video generation in a solution built for commercial use."

Access to Leading Models, Seamlessly Integrated

Featuring access to leading models from Google, Runway, and more, Shutterstock's AI Video Generator unifies content, models, and licensing within a single platform, reducing fragmentation and empowering teams to ideate, produce, and deploy video content more efficiently across channels. Customers can start from a simple text prompt, animate a static image, evolve existing brand assets, or build on Shutterstock's library of millions of creative assets, eliminating the need to start from scratch. This variety allows for rapid creation and testing, and with multiple licensing options, customers can confidently scale their video output.

Advancing a Unified, AI-Powered Ecosystem

This latest offering is part of Shutterstock's growing evolution as a key partner for AI solutions and services across the full spectrum of AI innovation. Together with its broader investments in model training and evaluation, data licensing, and generative tools, the AI Video Generator represents the next step in translating this infrastructure and expertise into practical, enterprise-grade creative solutions.

To try Shutterstock's new AI Video Generator visit shutterstock.com/ai-video-generator.

Shutterstock Data Licensing & AI Services 
Shutterstock is an end-to-end AI model training partner that unifies data licensing, services, and long-term collaboration under a single provider—reducing operational complexity and helping teams bring higher-performing AI systems to market faster and with greater confidence. Shutterstock combines access to one of the world's largest rights-cleared multimodal datasets with advanced data curation and custom training datasets to power high-performing, deployment-ready generative models. This licensable training data includes high-quality labeled and continuously updated multimodal content with clear data provenance to support AI compliance. Shutterstock leverages ML-assisted evaluation tools to provide model training, fine-tuning, alignment, evaluation, and retraining. Through human-in-the-loop workflows, expert creative feedback, and structured preference data, Shutterstock delivers aesthetic preference signals, benchmarking, and regression testing to drive continuous model improvement.

Learn more and start the conversation at shutterstock.com/data-licensing.

About Shutterstock
Shutterstock is in the business of turning ideas into impact. Powered by a global network of millions of creators and our cutting-edge technology, we provide businesses, creatives, and brand leaders with the essential, universal ingredients to make their work more effective. Shutterstock offers access to one of the world's largest and most diverse collections of high-quality licensable assets, specialized training datasets, evaluation tools, and end-to-end strategic partnerships for the full model training lifecycle, as well as advertising and distribution solutions, exclusive editorial content, and full-service studio production—delivering unparalleled resources to fuel great work.

Discover our impact at www.shutterstock.com and connect with us on LinkedIn, Instagram, X, Facebook and YouTube.

View original content to download multimedia:https://www.prnewswire.com/news-releases/shutterstock-expands-commercial-ready-genai-solutions-with-ai-video-generator-302742501.html

SOURCE Shutterstock, Inc.

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What is Shutterstock's new AI Video Generator (SSTK) released April 15, 2026?

It is a unified text- and image-to-video tool for commercial-ready outputs. According to the company, it combines leading video generation models with Shutterstock's licensed asset library and clear licensing to produce scalable, licensable video content.

How can customers try the Shutterstock AI Video Generator (SSTK) and what is included?

Customers receive two free generations to test the tool immediately. According to the company, users can start from text prompts, animate images, or build on Shutterstock's millions of assets to create commercial-ready video.

Which model partners power Shutterstock's AI Video Generator (SSTK)?

The generator integrates leading models including Google and Runway among others. According to the company, these models are unified with Shutterstock content and licensing to reduce fragmentation across the creative workflow.

Does Shutterstock's AI Video Generator (SSTK) provide commercial licensing for generated videos?

Yes — the product is designed for commercial-ready, licensable outputs. According to the company, the platform combines model access with clear licensing options and rights-cleared assets for enterprise use.

How does the AI Video Generator (SSTK) fit into Shutterstock's AI strategy?

The tool advances Shutterstock's role as an end-to-end AI partner for data and model services. According to the company, it builds on investments in data licensing, model training, and ML-assisted evaluation to deliver enterprise creative solutions.

Where can investors and customers access Shutterstock's AI Video Generator (SSTK)?

The AI Video Generator is available online at Shutterstock's AI product page. According to the company, interested users can visit shutterstock.com/ai-video-generator to try the tool and learn about licensing options.