Synthetic Media
Umbrella term for all media content (text, image, audio, video) that has been wholly or partially created or manipulated by AI.
Synthetic media is the umbrella term for all AI-generated content – text, image, audio, video. From marketing assets to deepfakes, with growing questions about transparency and authenticity.
Explanation
Synthetic media encompasses: AI-generated texts (GPT), images (DALL-E, Midjourney), audio (voice cloning, music generation), video (Sora, Runway), as well as manipulations of existing media. The term is neutral – includes legitimate creative tools and problematic deepfakes.
Marketing Relevance
Marketing increasingly works with synthetic media: Product images, social content, audio spots, video ads. Important: Transparency and labeling. Develop guidelines for responsible use.
Example
A fashion brand uses synthetic media across the entire content pipeline: AI-generated product photos, voice clone for spots, video ads with AI avatars – 80% of assets are synthetic.
Common Pitfalls
Labeling requirements unclear. Authenticity loss with overuse. Consumer skepticism growing. Quality control for synthetic assets still new.
Origin & History
The term emerged around 2018 alongside the deepfake debate. Adobe Content Authenticity Initiative (2019) addressed trust issues. 2022-2023 synthetic media exploded through ChatGPT, Midjourney, ElevenLabs. EU AI Act (2024) mandates labeling. 2025 estimates suggest 90% of online content is AI-influenced.
Comparisons & Differences
Synthetic Media vs. Deepfake
Synthetic media is neutral and encompasses all AI-generated content; deepfake implies deceptive intent with faked persons.
Synthetic Media vs. User-Generated Content (UGC)
UGC is created by humans; synthetic media by AI – the boundary is increasingly blurring.