Rules that travel with the content
Several regimes follow the audience rather than the producer. The EU AI Act covers providers and deployers outside the Union when their system's output is used inside it, and its disclosure duty for realistic synthetic content has applied since 2 August 2026. GDPR reaches organisations anywhere that target people in the EU. China's labelling measures apply to content published on Chinese platforms, and in South Korea AI providers must label output under the AI Basic Act while advertising rules require AI-made endorsers to be labelled as virtual persons. The practical answer is to build disclosure and provenance into the master: decide which assets are realistic enough to label, keep machine-readable content credentials such as C2PA intact, and record how every asset was made before it is adapted.
Rules that stay local
Much of what decides whether an asset can run is national. France and Quebec require French in advertising. The UK tests the apparent age of anyone shown drinking against a 25+ rule, Japan treats undisclosed advertising as misleading, China bans superlatives, and India's ASCI expects virtual influencers to say they are not human. Cosmetics, health and financial claims differ everywhere. Culture adds its own list: maps and borders, religious imagery, modesty norms, colours and numbers with local meaning. Talent agreements add another layer, because consent to use a face or voice is usually limited by territory and term. Keep a clearance matrix per market that lists the rules, the local approver and the evidence each asset needs.
Prioritising languages and markets
Not every market needs the same depth. A workable model has three tiers: full transcreation with native creative input, voice-over and localised imagery for the largest markets; adapted copy, dubbing and adjusted scenes for the next group; and translated copy with subtitles for the long tail. Legal requirements override the tiers, since a market that mandates its language cannot be served in English. Right-to-left languages such as Arabic and Hebrew need their own layouts rather than mirrored exports, and scripts such as Thai, Hindi or Japanese need type set by people who read them. Generation lowers the cost of each extra version, which moves the real constraint to review capacity in each language.
Governance that holds at scale
Global campaigns fail through drift, not through a single bad asset. Put the approved claims, banned words and brand rules in one place and enforce them at generation, so local teams adapt tone rather than substance. Define who owns what: the global team owns the master and the claims, regions own adaptation, and local legal signs off regulated content. Keep a register of every real face and voice with its permitted territories and term, and a way to pull assets everywhere when consent ends or a rule changes. Synthetic White runs approvals with roles, sign-off and an audit trail, and keeps a per-asset record of which model made what, so a question from any market can be answered from one record.
Updated 25 September 2026 · General information, not legal advice. Rules change, so check the current text with your legal team before relying on it.