China's Internet Network Information Center (CNNIC) released the Generative AI Application Development Report (2026) at the 7th China Internet Infrastructure Resources Conference on September 29 in Beijing. The report draws a half-year baseline across five lines—users, compute, models, industry, and capital—that will define the second half of 2026.
Users: half of all netizens are already on board
As of H1 2026, China's generative AI user base crossed 700 million, with penetration above 50%. 76% of users say they let generative AI answer questions for them, while 47.8%, 37.6%, and 32.5% use it for image/video processing, text work, and meeting notes/slide drafts respectively. Monthly usage of AI general assistants and AI efficiency-office apps grew by more than 100% year-on-year.
On the hardware side, 38.7% of netizens bought a smart hardware device in the past six months—wearables and 3C electronics are the leading entry points, at 20.2% and 18.2% respectively. Generative AI is no longer just a chat window; it is moving onto wrists, ears, and into pockets.
Compute: 2,185 EFLOPS and a fully-domestic 100,000-card super-cluster
As of June 2026, China's intelligent compute capacity reached 2,185 EFLOPS, up 177% year-on-year. In the same month, the country's first fully-domestic 100,000-card AI super-cluster went live, with chips, compute, storage, networking, and cooling all built on domestic self-controllable technology, marking end-to-end localization from silicon to service. This is the first domestic AI compute base to cross into the "hundred-thousand-card" tier. Combined with more than 120,000 high-quality datasets already in place, the "compute + data" loop required for training frontier models is closing inside China for the first time.
Models: Chinese teams own all top-6 call rankings
The report delivers an explicit signal the industry has been waiting for: all top-6 models on the global mainstream LLM call rankings are now from Chinese teams. Open-source models led by DeepSeek and Qwen continue to expand globally: Qwen 3.8 Max released in September at 2.4 trillion parameters, alongside Qwen 3.8-Flash-Next with 6B activated parameters and only one-ninth of the previous generation's training cost. Chinese players now hold flagship cards on both the "ultra-large" and "high-efficiency" tracks.
Industry and capital: H1 funding already 1.82x of last year
The report discloses 16 national-level advanced manufacturing clusters have been cultivated, AI penetration among regulated manufacturing firms has crossed 30%, and AI is woven through R&D, production, QA, and operations. On the capital side, 1,255 AI-related investment events occurred in H1 2026, totaling roughly 250.14 billion yuan—already 182% of the full-year 2025 total. On the supply side, 988 generative AI services have registered with the Cyberspace Administration of China, with another 598 applications registered at the provincial level by June 2026.
Stack these five lines and the report answers one question: has China's AI hit the "50% tipping point"? With 50% user penetration on the demand side, 2,185 EFLOPS plus a 100,000-card domestic cluster on the supply side, 30% manufacturing AI penetration, and H1 funding past 250 billion yuan, the answer is yes—diffusion-of-innovation theory says crossing 50% means a turning point where new-user growth slows and the center of gravity shifts from scale to quality and value creation. The second half of the "AI users cross 700M" story will be measured by what gets grounded in production, not by another round of onboarding.