China’s AI Video Models Race Toward Commercialization

China’s AI video generation sector is entering a pivotal commercialization phase, with four leading companies disclosing nearly 30 billion RMB (approximately $4.2 billion) in new funding over the past three months, according to Xinhua News. The rapid influx of capital signals that investors are now pricing AI video companies on commercial substance rather than technological promise alone.

A Record-Breaking Funding Surge

The most dramatic development came in early July when Kling AI, Kuaishou’s AI video generation subsidiary, completed a nearly $3 billion funding round — the largest ever for a global video model company. The round, co-led by CPE Yuanfeng, Guofang Venture Capital, BlueFive, Tencent, Zhongguancun Science City Fund, and CITIC Securities, valued the company at approximately $18 billion post-investment. Xinhua News reported that the round also attracted participation from Alibaba Cloud, Baidu, Huace Film & TV, and Mango Industrial investors, alongside dozens of tier-one institutions.

The funding wave extended across the sector. In July, Shengshu Technology, a Tsinghua-affiliated general world model company, completed a $500 million round led by Alibaba Cloud, with national-level funds and leading venture capital institutions participating. The same month, AI video generation company Aishitech closed its overall Series C round, cumulatively raising 2.98 billion RMB, with the C+ round led by Alibaba. In June, Yanyu Technology, which operates the AI video creation platform LibTV, completed a nearly $300 million B+ round at a post-investment valuation exceeding $2 billion, as Jiemian News documented in its coverage of Shengshu’s earlier funding.

Tech Giants: Investors and Competitors

A defining feature of this funding wave is the dual role played by China’s internet giants. Tencent, Alibaba Cloud, and Baidu unusually co-invested in Kling AI, while Alibaba separately led funding rounds for both Shengshu Technology and Aishitech. Yet all three are simultaneously developing their own competing video generation models — ByteDance’s Seedance 2.5, Alibaba’s Wan2.7-Video, and Tencent’s HunyuanVideo 1.5.

This strategic positioning reflects the recognition that AI video generation is becoming core infrastructure for the content industry. As Gelonghui noted, the Kling AI round was the second-largest single-round AI funding in China, trailing only DeepSeek’s $7 billion first round, and marked the first time Middle Eastern capital invested in a Chinese AI video model through Abu Dhabi-based BlueFive Capital.

Commercialization Takes Center Stage

The shift from concept to commercial reality is perhaps best illustrated by Kling AI’s operating metrics. As of early June 2026, the platform’s global user base surpassed 100 million — up about 67% from 60 million at the end of 2025 — covering 224 countries and regions, according to Jiemian News. In Q1 2026, Kling AI’s revenue exceeded 650 million RMB (approximately $91 million), up over 300% year-on-year. By March 2026, its annual recurring revenue approached $500 million, a fourfold increase from $100 million a year earlier.

“From our experience of continuously accompanying leading companies through technology cycles, this round of funding warming means the market’s pricing logic for the AI video generation track is shifting from ‘concept-driven’ to ‘commercialization substance pricing,’” said Zheng Xuanle, founder and CEO of LightSource Capital, which served as exclusive financial advisor for Kling AI’s record round, as reported by China Securities Journal. “This shift confirms the industry has crossed the technology validation stage and entered a critical inflection point for industrial implementation.”

AI Short Drama: The Killer Application

AI short drama has emerged as the most commercially viable application for video generation technology. Cai Yiming, CTO and chief scientist of Zhongying Niannian, noted that AI short drama production costs have been compressed from 300,000-500,000 RMB for traditional live-action to just 30,000-50,000 RMB, with quality now reaching commercial standards.

Kunlun Wanwei’s chairman and CEO, Fang Han, reported that the industry has overcome three core challenges — character consistency, long-sequence narrative, and visual coherence — enabling AI short drama content to achieve mature paid conversion capability. By the end of March 2026, the company’s short drama and AI short drama platforms achieved monthly revenue exceeding $48 million, with annual recurring revenue surpassing $570 million and the highest monthly active users in the overseas short drama market. By the end of June, the AI short drama platform’s ARR had exceeded $700 million.

“The AI video generation industry is a long-distance race,” said Wen Yuanxu, product and operations lead at Kling AI. “Its core lies in continuously creating application value and commercial value, and using this to feed back into R&D investment, forming a positive cycle of technical R&D and commercial value.”

Industry Outlook: Consolidation Ahead

Despite the sector’s rapid growth, significant challenges remain. High computing costs, low consumer-side user retention rates, and copyright compliance risks continue to test the industry. In April 2026, China’s National Radio and Television Administration implemented an AI short drama filing system, adding regulatory requirements to the sector’s expansion.

CITIC Securities, drawing parallels to the game engine industry’s nearly 30-year evolution, predicts that the AI video generation tool industry will ultimately consolidate into an oligopoly of three to four differentiated leaders. The analysis suggests that the natural barriers of the industry — including computing power, data, talent, and strategic positioning — will limit the number of players able to survive across technology cycles.

“Issues such as computing costs, user retention, and copyright regulation are both inevitable tests in the maturation of emerging technology and important entry points for companies to optimize operations and build long-term competitiveness,” Fang Han said.

What to Watch Next

The convergence of massive funding, rapid technology iteration, and proven commercial applications positions China’s AI video sector at a critical inflection point. As Science and Technology Daily reported, the industry’s pricing logic has fundamentally shifted from concept-driven speculation to commercialization substance.

Looking ahead, the key questions are which companies will survive the predicted consolidation, whether AI video companies can achieve sustainable profitability despite high computing costs, and how international competition — particularly with US-based players — will evolve. Fang Han’s prediction that world models will become core infrastructure for gaming, film, and other industries within three to five years suggests the stakes extend far beyond video generation itself.

“AI will transform from a mere efficiency tool into a creative assistant that understands scripts and camera work,” he said. “The fundamental logic of the content industry will be reconstructed.”