Opinions
2026.08.15 13:00 GMT+8

From pixels to physics: China's AI video models enter the real world

Updated 2026.08.15 13:00 GMT+8
Zhang Fan

People enter the venue of the 2025 China International Consumer Electronics Exposition (CICE) in Qingdao, east China's Shandong Province, September 19, 2025. /Xinhua

Editor's note: Zhang Fan, a special commentator for CGTN, is a political analyst based in Beijing. The article reflects the author's opinions and not necessarily the views of CGTN.

When Bloomberg recently noted that "the clearest evidence of China's prowess may be in video," it highlighted a striking reality which is that in the era of generative video, Chinese artificial intelligence (AI) labs have established a decisive presence across the global market.

The latest text-to-video rankings by independent evaluator Artificial Analysis offer a vivid illustration. Outside of Alphabet's Google, Chinese models now occupy nine of the top 10 positions globally.

Critically, this success is not driven by a single breakout company. Instead, it is an industrial-scale movement powered by a fiercely competitive ecosystem of tech titans and agile startups. Together, they are pushing the boundaries of what AI can see, simulate and manipulate by using video data to decipher the fundamental laws of the physical world.

A dynamic ecosystem accelerates innovation

The Artificial Analysis Video Leaderboard reflects an industry where Chinese tech conglomerates and agile startups have compressed engineering cycles, making advanced video generation affordable and highly scalable.

Leading the pack are engines like ByteDance's Dreamina Seedance 2.0, alongside massive platforms deployed by e-commerce titan Alibaba and short-video giant Kuaishou. These players have turned complex capabilities such as 3D camera blockouts and native audio synchronization into routine features.

Meanwhile, startups like MiniMax are reshaping Western tech economics. Its recently released MiniMax H3 architecture secured the top spot on the global Video Editing Leaderboard while offering open-weights access at a fraction of Silicon Valley's operating costs. Competitors such as AIsphere and ShengShu Technology are pursuing a similarly high-velocity playbook.

High talent mobility, maturing architectures and open-source tools allow new ideas to spread rapidly. Every advance is quickly analyzed, adapted and improved, constantly raising the bar. The result is not just individual progress, but a faster-moving industry overall.

Consumer-driven demand fuels refinement

China's second major advantage lies in the scale and diversity of its domestic market. According to the Report on China's Online Audio-Visual Development, the nation's online audiovisual audience reached nearly 1.1 billion users, with major platforms circulating over two billion AI-generated audio and video pieces in 2025 alone.

People visit the 13th China Internet Audio and Video Convention in Chengdu, southwest China's Sichuan province, April 15, 2026. /Xinhua

AI video models are now deeply integrated into commercial sectors, including China's booming vertical micro-drama market, dynamic digital marketing and interactive gaming.

This commercial boom yields benefits far beyond ad revenue; it acts as a relentless stress test for underlying technologies. When creators deploy these tools, every technical flaw, whether a shifting facial feature, an awkward joint movement, or a camera angle defying gravity, is immediately flagged and fed back to development labs as training telemetry. This rapid feedback loop forces models to master fine-grained spatial tracking.

Framing China's AI video advancements as merely a win for entertainment media misses the larger story.

To generate a realistic video of a glass sliding off a table, an AI cannot rely solely on visual tricks. It must implicitly understand how objects interact, how light refracts, how materials flex and how structural spaces shift over time.

As a result, these video tools are evolving into "world models" – algorithmic engines capable of simulating physical reality. This technological crossover is already transforming deep industrial automation across autonomous driving, embodied AI and robotics.

For example, rather than risking physical vehicle fleets, autonomous driving systems use advanced video models to synthesize pixel-perfect, physically accurate environments to train AI drivers safely.

The road ahead

A visually convincing video clip is not definitive proof of cognitive intelligence. However, China possesses a distinct structural advantage: World-class video simulation engines working directly alongside the world's largest manufacturing base, as well as its fastest-growing electric vehicle and humanoid robotics industries.

As AI shifts from cloud computing to the physical economy, the maturity of an ecosystem's video models will increasingly drive its industrial capacity. The true significance of China's rise in AI video lies not in the content created for screens, but in how effectively these engines train the autonomous machines that will navigate tomorrow's factories, warehouses and roads.

(If you want to contribute and have specific expertise, please contact us at opinions@cgtn.com. Follow @thouse_opinions on X to discover the latest commentaries in the CGTN Opinion Section.)

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