In two days, the World Internet Conference Wuzhen Summit opens (2–5 November) with the theme "Open Source and Openness, Co‑construction and Shared Benefits". The conference has dedicated a standout session — "AI Dialogue in Wuzhen" — inviting global tech leaders, open‑source model founders and AI scientists. The session matters because one month of industry data has already turned "openness" from a slogan into market reality.
26 weeks running, China's AI call volume crushes the US
Last week a Chinese open‑source AI community released monitoring data: the top five global models by call volume are all Chinese, totalling 93.54 trillion Tokens. The US top five combined hit 22.47 trillion — a 4.16x gap. This is not a one‑off: it has held for 26 consecutive weeks.
MiniMax's H3 model open‑sourced last month rocketed to the top of the Hugging Face global heat chart in three days. Over 100 enterprises achieved Day‑0 integration, with full‑stack adaptation from chip vendors to inference frameworks. Stable Diffusion founder Emad Mostaque publicly praised MiniMax — an unusual move from a figure as prominent in open source.
The WTO's October trade outlook adds another layer: world merchandise trade will grow 3.9% in 2026, with Asian economies the largest contributors. Chinese AI's open‑source advantage is stacking on top of Asian trade growth — and Chinese AI is accelerating into ASEAN, the Middle East and Latin America.
AI export is not just API — it is documents
A CCTV September report noted AI services are landing across ASEAN, where diverse legal systems and languages have created unmet demand. But here is what people miss: AI model exports sell more than API endpoints. A full stack of documents must ship with every model — and every one needs multilingual precision. This is where translation becomes the new growth curve.
A minimum kit for a model entering a new market includes four document groups:
One: legal and compliance. The EU AI Act took effect this year; any model serving the EU needs an AI Impact Assessment, transparency obligations document and human‑supervision mechanism. For ASEAN, data‑cross‑border transfer agreements, Terms of Service and privacy policies — each must be in the local official language, not English. A single mistranslated clause can derail local compliance.
Two: technical documentation. API reference, developer guide, deployment manual, troubleshooting guide — all must travel with the model and update with every release. Our Shenzhen translation company handled a case last month: a Chinese AI firm shipped an intelligent customer‑service system to Malaysia. The API docs were in English, but the Malaysian partner insisted on a Malay version — a substantial portion of local engineers read technical documentation primarily in Malay.
Three: patents and IP. Core algorithms, training‑data pipelines, inference optimisation — all patented. Filing abroad requires local‑language patent translations, where every word in a claim defines the legal boundary. We have a dedicated legal legal translation team with a three‑stage workflow: initial translation → terminology cross‑check → patent counsel review.
Four: operation manuals and training materials. After delivery, the client's operations team needs manuals, installation guides and presentation decks — all localised, with screenshot annotations in the target language. The client's maintenance team referenced our translated 48‑page AI operations manual with 70+ annotated screenshots on three separate occasions during Q3.
What this means for the translation industry
For two years the story has been "AI translation will replace human translators". The signal from Wuzhen is the opposite: Chinese AI is accelerating abroad, and every step demands skilled human translation. The real question is not whether AI will replace translation — it is what kind of translation AI exports require.
Our answer: specialised, precise translation in legal compliance, technical documentation and patents. These fields share three traits: closed terminology, fixed format, zero tolerance for error. MTPE produces a usable draft framework but final quality must be human. Our workflow: MTPE draft first, then domain translators audit every term, fix syntax and add domain context, followed by senior translators for overall sign‑off.
For a real case we handled, see "AI exports to Malaysia". For translators entering this lane, see "Three Lessons for AI‑Export Translators". For document translation in legal, technical or patent sectors, or certified translation with stamp, contact us.