2026 China's New Unicorn Surge Driven by AI and Robotics

According to the latest data from IT Juzi: as of July 2026, China added 73 new unicorns with a total valuation of $190.5 billion—on average, a company crosses the $1 billion threshold less than every three days.

The last time this density occurred was in the second half of 2021, when 76 companies reached a historical peak. However, the driving forces behind these two peaks were markedly different: the previous surge was fueled by diverse sectors such as new energy, biopharmaceuticals, and consumer internet, with spread-out industries; this time, robotics and AI together account for 38 companies, representing over 52%, indicating high concentration.

An overlooked issue is that companies emerging from different cities, despite betting on AI, vary significantly. Hangzhou relies on DeepSeek A company has propelled a $61.5 billion valuation, while Shenzhen has rapidly spawned five robotics firms, each averaging less than $2.2 billion; Shanghai has seen frequent spin-offs—yet in Beijing, more than half of the 24 new unicorns have founding teams with the same label: Tsinghua.

Not all cities can handle this round.

In this article, IT Juzi attempts to break down a more fundamental question: Which unicorn incubation model emerged victorious in this AI cycle?

The 73 new unicorns are distributed across 14 cities, with 24 in Beijing, 20 in Shanghai, 9 in Shenzhen, and 4 in Hangzhou—totaling 57 in these four cities, accounting for 78%.

Beijing leads with 24 companies, followed by Shanghai with 20, but Beijing’s total valuation of $56.391 billion far exceeds Shanghai’s $28.127 billion. Beijing not only has the highest number, but its fast-growing companies also differ in quality from those in other cities.

Of the 24 companies in Beijing, 18 are registered in Haidian District, 5 in the Economic and Technological Development Zone, and 1 in Chaoyang District. Haidian alone accounts for 85% of the valuation of Beijing’s new unicorns. In other words, Beijing’s latest batch of “24 companies, 56.4 billion” is essentially Haidian’s答卷.

The赛道 purity in Haidian is also very high: among the 18 companies, 10 are in artificial intelligence and 6 are in robotics, totaling 89%. Keling AI Huashen Zhiyao, Qianxun Intelligence, and others have each reached the highest valuations in their respective fields: video generation, AI-driven drug discovery, and humanoid robotics.

Segment the “fast unicorns” founded less than three years ago by city: Beijing leads with approximately 8, followed by Shanghai with about 6, and Shenzhen and Hangzhou each with about 2. Beijing’s eight companies are Kunlunxing Robotics (0.4 years), Zhiyan Huisheng (0.6 years), Ziran YiZhi (0.6 years), Moshixinghe (0.8 years), WuJie Power (1.4 years), Qianxun Intelligence (2.6 years), Qujing Technology (2.8 years), and Silicon Flow (2.9 years)—seven of which are registered in Haidian.

So the real dynamic of this round is: the rapid emergence of new unicorns in Beijing is essentially a concentrated release of Haidian’s role as a source of original innovation.

If quantity and valuation represent the "face," then incubation efficiency is the "backbone." When we examine the founding team backgrounds, capital structures, and geographic distributions of the 18 new unicorns in Haidian, we find that three supply lines are highly overlapping in physical space—this is the underlying reason why Haidian has achieved speed, cost, and density simultaneously in this round.

First line: University research supply

Among the 18 new unicorns in Haidian, at least 10 have founders or core teams with ties to Tsinghua University— Keling AI Gai Kun (Tsinghua University, Bachelor and PhD), Yuan Jinhui of Silicon Flow (PhD in Computer Science from Tsinghua University, advisor to Academician Zhang Bo), Zhu Jun of Shengshu Technology (Professor, Department of Computer Science, Tsinghua University), Luo Yihang (PhD, Department of Automation, Tsinghua University), Cheng Hao of Accelerated Evolution (Bachelor and Master, Department of Automation, Tsinghua University), Ji Feng of Zhiyan Huishengdai (Bachelor and PhD, Tsinghua University, Associate Professor, Department of Electronic Engineering), Ding Ning of Natural Will (PhD, Assistant Professor, Department of Electronic Engineering, Tsinghua University), Ai Zhiyuan of Qujing Technology (PhD in Computer Science, Tsinghua University), Huang Guan of Jijia Vision (Tsinghua Innovation Leadership Engineering PhD), Gao Yang of Qianxun Intelligence (Assistant Professor, Interdisciplinary Information Institute, Tsinghua University). Zhao Hao, Chief Scientist of Guanglun Intelligence, is also a Bachelor and PhD graduate of the Department of Electronic Engineering at Tsinghua University.

Outside of Tsinghua University, the Chinese Academy of Sciences (CAS) system is another core force: Huang Guan, founder of Jiyi Vision, earned his master’s degree from the Institute of Automation at CAS; Xia Zhongpu, co-founder of Wuji Power, holds a Ph.D. from the Institute of Automation at CAS; and Wang Fquan, founder of Sunmiao Technology, earned his Ph.D. from the Institute of Acoustics at CAS and later conducted postdoctoral research on the Loongson processor at the Institute of Computing Technology at CAS—nearly the entire core team at Sunmiao Technology comes from the CAS system.

Peking University-affiliated founders include Guanglun Intelligence (Xie Chen, undergraduate in physics from Peking University). Similar prestigious overseas educational backgrounds are evident: Peng Jian of Huashen Zhiyao (Ph.D. from the University of Chicago, postdoctoral researcher at MIT) and Xie Chen of Guanglun Intelligence (Ph.D. from Columbia University). Most of these entrepreneurs first pursued advanced studies within overseas academic systems before returning to Beijing to launch their ventures.

Second line: Talent spillover from large tech company headquarters

Among the 18 new unicorns in Haidian, at least 10 have founders or core teams with experience at major tech companies. ByteDance-affiliated founders are the most numerous: Jia Su Evolution’s Cheng Hao (former VP of Product, Feishu at ByteDance), Shengshu Technology’s Luo Yihang (former Head of AI, Volcano Engine at ByteDance), Aishi Technology’s Wang Changhu (former Head of Vision, AI Lab at ByteDance), and LiblibAI’s Chen Mian (former... CapCut Head of Global Commercialization at CapCut, the youngest Level 4 executive — four unicorns, four distinct paths, all bearing ByteDance’s imprint. The Alibaba ecosystem contributed Keling AI Gai Kun (former Alibaba Mama P10).

Microsoft Research Asia is another talent reservoir, where Yuan Jinhui of Silicon Flow, Wang Changhu of Aishi Technology, Huang Guan of Jijia Vision, and Dai Jifeng of Zhiyan Huisheng all previously worked. Additionally, contributors come from the Horizon ecosystem (Zhang Yufeng of Wuji Power, Sun Shaoyan of Jijia Vision), the Li Auto ecosystem (Xia Zhongpu of Wuji Power), and the NVIDIA ecosystem (Xie Chen of Guanglun Intelligence).

More notably, the "dual genetics"—possessing both academic research experience from universities and industry experience from major tech companies.

Keling AI Gai Kun (Tsinghua University + Alibaba/Kuaishou), Yuan Jinhui of Silicon Flow (Tsinghua University + Microsoft), Cheng Hao of Accelerated Evolution (Tsinghua University + ByteDance), Luo Yihang of Shengshu Technology (Tsinghua University + ByteDance), Wang Changhu of Aishi Technology (University of Science and Technology of China + Microsoft/ByteDance), Huang Guan of Jijia Vision (Huazhong University of Science and Technology/CAS/Tsinghua University + Microsoft/Horizon Robotics), Xie Chen of Guanglun Intelligence (Peking University/Columbia University + NVIDIA/NIO), and Dai Jifeng of Zhiyan Huisheng (Tsinghua University + Microsoft).

This combination of “academic foundation + industry experience” is a fundamental condition for becoming a “unicorn from birth”—investors don’t see just a business plan, but a proven track record.

Third line: Precise intervention by local early-stage venture capital

Haidian has ranked first on the China Venture Capital & Private Equity Annual Ranking for two consecutive years as "China’s Most Venture Capital-Valuable District." The district hosts 435 equity investment management institutions registered with the Asset Management Association of China, accounting for approximately 40% of Beijing’s total equity financing. In 2025, nearly 80% of Haidian’s AI-related funding occurred before the Series B round, and it was selected as one of the nation’s first pilot regions for capital market-based financial technology initiatives—making it a true “high-density early-stage capital district.”

In 2026, the Haidian District state-owned capital investment platform, Zhongguancun Science City, launched two new funds totaling RMB 10 billion: an RMB 8 billion Technology Growth Fund IV and an RMB 2 billion Technology Commercialization Fund. The former primarily partners with sub-fund managers renowned for their strength in early-stage investments, while the latter focuses on direct investments in seed, angel, and Pre-A rounds, adhering to the principle of “investing early, investing small, and investing in hard technology.” Together, these two funds establish a multi-layered capital collaboration framework with leading institutions such as Sequoia Capital China, Hillhouse Capital, Junlian Capital, and GSR Ventures, forming a model of “state-led guidance and ecosystem co-construction.”

Among the 18 new unicorns in Haidian, Keling AI Zhongguancun Science City appears among the investors of seven unicorns, including Guanglun Intelligence, Jiasu Jinhua, Guiji Liudong, and Shengshu Technology. The public affairs director of Guanglun Intelligence offered a fitting assessment: “The Zhongguancun Science City guidance fund combines a long-term industrial perspective and acts more like a ‘family member’ accompanying corporate growth.”

The company headquarters, universities, and early-stage capital are all concentrated in Haidian, creating a high degree of geographic overlap. Universities provide technological expertise, major tech corporations supply industry talent, and early-stage venture capital provides the initial funding. Only Zhongguancun in Beijing possesses all three of these supply chains simultaneously—and they physically coincide. This is the foundational structure behind Beijing’s current wave of unicorns being fast, expensive, and densely clustered.

Shanghai’s 20 new unicorns have a combined valuation of $28.127 billion, averaging $1.406 billion each. The most prominent pattern is “spin-offs from large tech firms”—Critical Point AGILINK ($1.538 billion) was spun off from the dexterous hand division of AgiRobot, and Qintian Lease ($1.077 billion) is a robot leasing platform under AgiRobot, with one company splitting into two unicorns. Burgeon Tech ($2 billion) was founded by Lin Junyang, former Alibaba executive. Qwen Head of Large Model Technology, achieved a $2 billion post-investment valuation three months after leaving.

Shanghai’s advantage lies in the diversity of its industrial ecosystem: it has a strong foundation in integrated circuits (Galaxia, StarCore Semiconductor, Cixin Technology, Yunmai芯联) and healthcare (Yuanqi Biology, Jiyu Pharmaceutical, SenseTime Healthcare)—areas where Beijing is relatively weaker. However, in the two hottest sectors for 2026—AI infrastructure and embodied intelligence—Shanghai’s valuation density and startup velocity both lag behind Beijing’s.

Shenzhen: Mass-production incubator

Among Shenzhen’s nine new unicorns, five are in robotics, making it the city with the highest concentration of humanoid robotics startups in China. Unitree Robotics ($3.077 billion) and Zhifang Square ($3.077 billion) are tied for the highest valuations. The nine companies together total $16.307 billion, with an average valuation of $1.811 billion; most fall within the $1.2–1.8 billion range. The robotics sector is characterized by valuation ceilings determined by manufacturing scalability and real-world application validation—both of which require time. Shenzhen’s strength lies in its supply chain and manufacturing capabilities, but its investments in AI infrastructure and algorithmic layers remain relatively weaker.

Hangzhou: Powered by Super Monolith

Four new unicorns in Hangzhou have a combined valuation of $65.461 billion, accounting for 34.4% of the city's total—yet DeepSeek One company contributed $61.538 billion. Excluding DeepSeek Subsequently, the other three combined totaled only $3.923 billion, averaging approximately $1.307 billion each, comparable to Shanghai. DeepSeek This is a special case: Huanfang Quant was founded by Liang Wenfeng, who personally funded it; its Series A financing of RMB 51 billion brought together top-tier investors such as IDG, Tencent, NetEase, JD.com, and CATL. This “super single-entity” model is rare and not replicable.

Back to the original question: What incubation model has emerged victorious in this AI cycle?

It’s not just about which city has the most unicorns or which company has the highest valuation. Looking back at the data, the group of unicorns with the highest孵化 efficiency—measured by time from founding to $1 billion valuation × valuation premium × industry difficulty—is concentrated in areas where three elements overlap: top universities, corporate headquarters, and early-stage venture capital.

Haidian covers less than 3% of Beijing’s total area, yet it concentrates the nation’s most dense concentration of higher education institutions: Tsinghua University, Peking University, and various research institutes of the Chinese Academy of Sciences are all located within Haidian, with travel times between them under 15 minutes by car. Meanwhile, the headquarters of ByteDance, Kuaishou, Baidu, and NetEase Beijing are also situated in Haidian. Coupled with district-level state-owned venture capital platforms like Zhongguancun Science City that specialize in early-stage hard tech investments, all three supply chains can be connected within walking distance.

This also echoes the story of the previous mobile internet cycle. More than a decade ago, ByteDance and Xiaomi emerged from Zhongguancun—ByteDance’s founder Zhang Yiming had early investors including Sequoia Capital China and Wang Qiong, while Xiaomi relied on technical talent from Tsinghua University and Motorola. The incubation model of that cycle was “mobile internet + hardware manufacturing”; this time, it has shifted to “AI infrastructure + embodied intelligence”—but the underlying structure remains unchanged: universities supply technology, large corporations supply talent, and early-stage venture capital provides the first layer of trust.

The赛道 has changed, but the ecosystem remains the same.

Among the 73 new unicorns in 2026, the region with the highest concentration of companies matching the "triple overlay" profile is precisely the same area that previously produced ByteDance and Xiaomi. This is no coincidence—when a location simultaneously offers technological resources, talent, and capital, and these three elements can connect within walking distance, its incubation efficiency significantly surpasses that of other regions.

This article is from the WeChat public account "IT Juzi" (ID: itjuzi521), authored by Judy.