AIGC stands for AI-Generated Content: text, images, video, audio, music and avatars created wholly or partly by artificial intelligence. The term is especially common in China and across Asia — it is the phrase Chinese regulators use — while English-speaking markets more often say "generative AI content". In 2026 AIGC stopped being a novelty: AI video now comes with synchronised sound, images are indistinguishable from photographs, and new laws require much of it to be labelled.
The main types of AIGC
| Type | What it produces | Leading tools in 2026 |
|---|---|---|
| Text | Articles, product copy, emails, code | ChatGPT, Claude, Gemini |
| Images | Photos, illustrations, ads, product shots | Google Nano Banana, Midjourney, FLUX, OpenAI image models |
| Video | Clips with motion, camera moves and native audio | Google Veo 3.1 and Gemini Omni, Kling 3.0, Runway Gen-4.5, Seedance |
| Voice | Narration, dubbing, voice agents | ElevenLabs, Google TTS models |
| Music | Songs, jingles, background tracks | Suno, Google Lyria |
| Avatars | Talking presenters and digital twins | Synthesia, HeyGen, Runway Characters |
AI video: the fastest-moving category
AI video changed more than any other form of AIGC in 2026. Clips of 15 to 30 seconds with native audio became standard: Kuaishou's Kling 3.0, launched globally in February, generates up to 15-second clips with sound in multiple languages and accents (Kuaishou via Bernama), and Alibaba's Wan 3.0 public beta produces 30-second 1080p clips with voice (TNW).
There were surprises too. OpenAI shut down the Sora app in April 2026, less than seven months after launch (TechCrunch), while Google folded video generation into a new multimodal model, Gemini Omni Flash, announced at I/O (TNW). Kling, meanwhile, became a real business: Kuaishou reported Kling revenue of more than RMB 850 million in Q2 2026 alone (Kuaishou).
We compare the tools in detail in the best AI video generators of 2026.
Why AIGC is called a Chinese term — and why China matters
Chinese industry and government adopted "AIGC" early, and many of the most capable video models now come from Chinese companies: Kling (Kuaishou), Seedance (ByteDance), Wan (Alibaba), Hailuo (MiniMax) and Vidu (Shengshu). Several power Western products as well — Kling is available inside Adobe Firefly and Runway (Adobe). China was also first to make AIGC labelling mandatory, from September 1, 2025, requiring both visible labels and hidden metadata on AI-generated content (Loeb & Loeb).
How businesses use AIGC in 2026
- Advertising and social content. US digital video ad spend is forecast to pass $80 billion in 2026, and the IAB reports generative AI adoption for video creative "continues to accelerate" (IAB). The most common use is producing many versions of one ad for different audiences, formats and lengths.
- E-commerce. Product photography, lifestyle images and short product videos generated from a few reference photos.
- Localisation and dubbing. Translating videos into dozens of languages with matching voices — ElevenLabs' v4 model, released in September, supports more than 90 languages (TechCrunch).
- Training and internal communication. Avatar presenters turn scripts into training videos without filming; Synthesia raised $200 million at a $4 billion valuation in January on the strength of this market (SiliconANGLE).
- Real estate and property. Virtual staging, listing videos and neighbourhood tours.
- Inside software products. Apps that let users generate images, videos or voiceovers — which is where custom development comes in.
The rules: AIGC labelling is now the law in many markets
European Union
Under Article 50 of the EU AI Act, transparency obligations apply from August 2, 2026: providers of generative AI must mark AI-generated audio, images, video and text in a machine-readable, detectable way, and deployers must label deepfakes (European Commission). A Code of Practice on marking and labelling was finalised in June 2026. According to law firm Paul, Weiss, systems already on the market have until December 2, 2026 to meet the marking requirement, and fines can reach €15 million or 3% of worldwide turnover (Paul, Weiss). Our EU AI Act guide covers the rest of the regulation.
United States
The TAKE IT DOWN Act has been enforced by the FTC since May 19, 2026: platforms must remove non-consensual intimate images — including AI-generated "digital forgeries" — within 48 hours of a valid request (FTC). The NO FAKES Act, which would protect people's voice and likeness from unauthorised AI replicas, cleared the Senate Judiciary Committee in June 2026 but is not yet law (Congress.gov).
Platforms
YouTube now automatically labels videos containing significant photorealistic AI content that creators did not disclose, and lets enrolled creators flag AI uses of their likeness (Variety). TikTok lets users dial AI content up or down in their feed and supports C2PA content credentials (TechRepublic).
Provenance: how AI content is marked
Two technologies are becoming the standard:
- C2PA Content Credentials — signed metadata recording how a file was created and edited.
- Invisible watermarks such as Google's SynthID, which is applied by default to Gemini Omni video and can be checked in Google's products.
Neither is perfect — metadata can be stripped by tools that do not support it — so the safest approach for businesses is to combine provenance metadata, watermarks and visible labels.
The risks to manage
- Deepfakes and misuse. In January 2026, after Grok was used to generate sexualised images of real people, the European Commission opened a Digital Services Act probe into X and the UK's Ofcom launched an investigation (CNN).
- Copyright. The law is still being settled. Disney, Netflix and other studios sent cease-and-desist letters over ByteDance's Seedance 2.0, which then paused its global launch (TechNode); studios' case against Midjourney is in discovery; and Suno replaced its models with ones trained on licensed music in September 2026 (TechCrunch). In the UK, Getty Images largely lost its copyright case against Stability AI in November 2025 but was granted permission to appeal.
- Brand backlash. Audiences can react badly to obviously synthetic ads — several AI-heavy Super Bowl ads in February 2026 were widely criticised (CNN).
- Vendor risk. Sora's shutdown left businesses that depended on it scrambling (Forbes). Build so you can switch models.
A practical AIGC policy for your business
- Decide where AIGC is allowed — e.g. internal drafts, product imagery, localisation — and where it is not.
- Use commercially licensed tools and keep records of which model created which asset.
- Never generate real people's likeness without written consent.
- Label AI content where law or platform rules require it, and add provenance metadata.
- Keep a human editor responsible for accuracy, brand and taste.
- Stay model-agnostic so a vendor exit does not stop your pipeline.
Building AIGC into your product
Many of the most interesting AIGC opportunities are inside software: an e-commerce platform that generates product videos, a real-estate app that stages rooms, a learning platform that turns lessons into narrated videos in many languages. Zinetics builds these features — integrating image, video and voice models via API, adding moderation, labelling and provenance, and designing the workflow around them. Explore our AI development services or tell us what you want to build. For the broader picture, see what's new in AI in 2026.