Synthetic Media

Synthetic media is content — images, audio, video, text, or 3D — created or substantially modified by AI rather than recorded from real-world events or authored entirely by humans. The category spans benign uses (AI-generated marketing visuals, voice-overs, dubbing) and harmful uses (deepfakes, voice-clone fraud, disinformation), making it both an enormous economic opportunity and a policy concern.

By 2026, synthetic media is mainstream. A Deepfake Detection Lab study estimated that 8% of all images shared on social media in Q1 2026 were AI-generated, up from <1% in 2023. Forrester projects synthetic media will represent 40% of marketing creative output by 2027.

Categories of synthetic media

Synthetic media takes several forms:

• Synthetic images — Generated by diffusion models like Imagen 3, Midjourney, Flux. Used in advertising, social media, e-commerce, gaming.
• Synthetic video — Sora, Veo 3, Runway Gen-3, Kling 1.6. Short clips for marketing and entertainment; longer for film.
• Synthetic audio — ElevenLabs, OpenAI Voice, Resemble. Voice cloning, dubbing, audiobook narration, podcast generation.
• Synthetic text — All LLM-generated writing: captions, articles, code, scripts.
• Synthetic avatars / digital humans — HeyGen, Synthesia, D-ID. Talking-head videos for training, marketing, support.
• Deepfakes — Synthetic media that depicts a real person doing or saying something they didn't. The most regulated subcategory.

Why synthetic media matters

Synthetic media disrupts three industries simultaneously:

1. Marketing & advertising — Stock photo licensing dropped 24% from 2023–2026 (Shutterstock); production photography for e-commerce dropped ~30%.
2. Media & entertainment — Voice cloning is replacing voice actors for low-budget dubbing; AI extras are appearing in Netflix and Disney productions.
3. Information ecosystem — Deepfakes erode trust in video evidence; "liar's dividend" lets bad actors dismiss real footage as fake.

The technology is also democratizing: a 2024 study found 96% of consumers couldn't reliably distinguish a high-quality AI image from a photograph. By 2026, that number had dropped to 92% even with detection training — a sign that synthetic media now passes most human evaluation.

Authenticity, watermarking, and policy

Major model providers have responded with content provenance tooling:

• Google SynthID — Invisible watermark embedded in Imagen 3 outputs.
• C2PA Content Credentials — Industry standard (Adobe, Microsoft, Sony, OpenAI) for cryptographically signed creation metadata.
• Meta and TikTok labels — Auto-detect AI-generated content; label posts in feeds.
• EU AI Act — Requires labeling of synthetic media depicting real people or events (in force 2026).

Despite these efforts, watermarking is leaky (survives some edits, fails others) and policy enforcement is uneven. The arms race between generators and detectors continues.

Examples of synthetic media in production

1. Coca-Cola "Masterpiece" ad (2023) — Mostly AI-generated; landmark commercial for synthetic media in advertising.
2. Heinz "AI Ketchup" campaign — Used DALL-E to generate ad creative from prompts like "ketchup."
3. Spotify AI DJ — AI-generated voice introductions to recommended tracks.
4. Synthesia digital avatars — Used by 60,000+ companies for training videos.
5. PostKit-generated carousels — AI-generated images and captions for social media at scale.

How PostKit produces synthetic media responsibly

Every image PostKit generates is synthetic media — Imagen 3 carousel slides, hero graphics, quote cards. PostKit's stance on responsible synthetic media has three pillars:

1. Watermarking is preserved — PostKit does not strip the SynthID watermark from Imagen 3 outputs. Downstream provenance remains intact.
2. No real-person depictions — PostKit's image prompts forbid generating images depicting specific real people. The platform is for brand and concept imagery, not deepfake territory.
3. Editorial transparency on request — Users who choose to disclose AI use (some markets and platforms now require it) can append "Made with AI" badging in PostKit's caption templates.

The product's value isn't in hiding AI use — it's in making AI-produced content fast, on-brand, and platform-correct. As social platforms add their own AI labels (Instagram's "AI info" tag, TikTok's automatic AI labeling), being upfront about generation is increasingly the default expectation.

Frequently asked questions

Is synthetic media the same as a deepfake? No. Deepfakes are a specific subcategory: synthetic media depicting a real, identifiable person doing or saying something they didn't. Most synthetic media (a generic stock-style image, a voice-over for a brand) isn't a deepfake.

Is synthetic media legal? Generally yes. Legal restrictions target deepfakes of real people (especially non-consensual intimate imagery and political deepfakes), commercial use without disclosure in some jurisdictions, and IP infringement (training on copyrighted material).

Can synthetic media be detected? Sometimes. Watermarks (SynthID, C2PA), statistical detectors, and forensic analysis catch some content. But the detector arms race is ongoing — high-quality synthetic media often evades detection in 2026.

Will synthetic media destroy trust in video? It's eroding it. Mitigation requires watermarking, provenance standards, platform labeling, and consumer education. The "liar's dividend" — bad actors dismissing real footage as AI — may be the larger long-term risk.

Does using synthetic media require disclosure? Depends on jurisdiction and platform. EU AI Act requires labeling for some content. TikTok and Meta auto-label detected AI. Many advertising codes require disclosure of digitally altered representations.

Is AI-generated stock photography killing photographers? It's reshaping the industry. Volume / commodity stock has been heavily disrupted; brand, editorial, and authentic photography (real people, specific places) remain valuable. Photographers are moving up the value chain.

What's the C2PA standard? Coalition for Content Provenance and Authenticity — an open standard for cryptographically signing media at creation time so downstream consumers can verify origin and edit history. Backed by Adobe, Microsoft, BBC, and others.

Related terms

• Generative AI
• AI image generation
• Imagen 3
• Multimodal AI
• LLM (Large Language Model)
• Hallucination (AI)
• AI agent

Sources

• Deepfake Detection Lab — Synthetic Media Prevalence Report 2026
• Forrester — The State of Synthetic Media 2026
• C2PA — Content Credentials Standard v1.4
• EU AI Act — Article 50 (Transparency Obligations)