What is Synthetic Media?

What is Synthetic Media?

Synthetic media refers to any content. Video, audio, images, or text. That’s been partially or fully created using artificial intelligence rather than captured or written by humans alone.

The category is broad on purpose. It covers everything from AI-generated blog posts and AI images to deepfake videos and cloned voices. What ties them together: a machine did work that traditionally required a human creator, a camera, or a microphone.

By 2025, Gartner estimated that 90% of online content could be synthetically generated by 2026. That number sounds extreme, but consider that AI tools already produce billions of images, millions of articles, and thousands of video clips daily. If you’ve scrolled social media today, you’ve almost certainly consumed synthetic media. Whether you realized it or not.

Why Does Synthetic Media Matter?

Synthetic media is rewriting the economics of content production. It also raises questions marketers can’t ignore.

• Cost compression. What cost $5,000 to produce (a video, a photoshoot, a voiceover) can now cost $5 or less
• Speed at scale. Generate hundreds of content assets in the time it used to take to produce one
• Personalization. Create localized, audience-specific variations of the same content without starting from scratch
• Trust concerns. Deepfakes and misleading content erode audience trust, making AI watermarking and disclosure more important than ever

Marketers, publishers, and platforms all need a working understanding of synthetic media. Both to use it effectively and to manage its risks. The EU AI Act already requires disclosure of certain synthetic media types.

How Synthetic Media Works

Different types of synthetic media rely on different underlying technologies, but they share a common pattern: train a model on real data, then use it to generate new content.

Generative Models

Large language models produce text. Diffusion models produce images and video. Neural vocoders produce speech. Each learns patterns from training data and generates new outputs that follow those patterns.

Deepfakes and Face Synthesis

Face-swap technology uses autoencoders or GANs to map one person’s facial movements onto another’s face. The same technique powers virtual avatars in marketing videos and customer service bots.

Voice Cloning

AI voice models can replicate a person’s voice from as little as 3 seconds of sample audio. Marketers use this for multilingual ad voiceovers. Bad actors use it for fraud. The technology is identical. Only the intent differs.

Synthetic Media Examples

Example 1: Multilingual marketing. A global brand uses AI voice cloning and lip-sync to produce a single ad in 12 languages. The CEO appears to speak each language fluently. Production cost: $500. Traditional dubbing for 12 languages: $25,000+.

Example 2: Content at scale. A content service like theStacc uses AI to publish 30 SEO articles per month to a client’s website. Each article is original, keyword-targeted, and formatted for their CMS. Produced in hours, not weeks.

Example 3: Product photography. An ecommerce brand generates lifestyle product images using AI instead of booking studio time. They test 20 visual variations per product instead of the 3 they could afford with traditional photography.

AI Tools Landscape

Category	Use Case	Examples	Maturity
Content generation	Writing, images, video	ChatGPT, Claude, Midjourney	Mainstream
Search optimization	GEO, AEO, AI Overviews	Perplexity, Google AI	Emerging
Analytics	Predictive, attribution	GA4, HubSpot AI	Growing
Personalization	Dynamic content, recommendations	Dynamic Yield, Optimizely	Established
Automation	Workflows, campaigns	Zapier AI, HubSpot	Mainstream

Frequently Asked Questions

Is synthetic media the same as deepfakes?

Deepfakes are one type of synthetic media. Specifically, AI-generated video or audio that impersonates real people. Synthetic media is the broader category that also includes AI images, text, music, and virtual avatars. Not all synthetic media involves deception.

Do you have to disclose AI-generated content?

It depends on jurisdiction and platform. The EU AI Act requires labeling certain synthetic media. Most social platforms require disclosure. Even where it’s not legally required, transparency builds trust with your audience.

Will synthetic media replace human creators?

For high-volume, template-driven content. Much of it already has. For creative direction, brand voice, strategy, and storytelling. Human involvement remains essential. The shift is from “humans create everything” to “humans direct, AI produces.”

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Sources

• Gartner: Predicts 2024. AI and Synthetic Media
• MIT Technology Review: The State of Synthetic Media
• European Commission: AI Act and Synthetic Media
• Content Authenticity Initiative (CAI)