A surge in AI and robotics startups has lifted China’s unicorn creation to its strongest half-year in five years, underscoring a shift from consumer internet to hard technology.
By Liu Xiaoqing
China added 67 new unicorns in the first six months of 2026, the highest half-year total in five years, as a wave of investment in artificial intelligence and robotics fueled a new startup boom, according to the IT Juzi unicorn database.
The newly crowned unicorns, each valued at more than $1 billion, had a combined valuation of about $182.9 billion as of July 1, with an average valuation of $2.73 billion and a median of $1.41 billion. AI startup DeepSeek, China’s answer to OpenAI, was the largest newcomer, with an estimated valuation of $61.5 billion.
The rebound follows a slowdown in 2023 and 2024 after China’s previous unicorn boom peaked in 2021 and 2022. The latest cycle differs markedly from the previous one, which was driven by new energy vehicles, biotechnology and consumer internet companies. The current wave is dominated by AI and embodied intelligence, referring to AI systems integrated into physical robots.
China now has 517 unicorns with a combined valuation of approximately $2.39 trillion. More than half are valued between $1 billion and $2 billion, while only five qualify as “super unicorns” with valuations above $50 billion: ByteDance, Ant Group, SHEIN, DeepSeek and Xiaohongshu. Together, those five account for about 36% of the total valuation.
AI and robotics dominate
AI and robotics accounted for more than half of all new unicorns during the first half.
Nineteen robotics companies and 17 AI companies joined the list, together representing 36 of the 67 new entrants. The robotics sector spans humanoid robot makers, dexterous robotic hands, embodied AI software platforms and robot leasing services, reflecting a broadening industrial supply chain.
Eight of the new robotics unicorns specialize in humanoid robots, including Variable Robot, Zhifang and Qianxun Intelligence, each valued at more than $1.2 billion.
Several companies also emerged from the spin-off of technology teams at larger firms. AGILINK was carved out of AgiBot‘s dexterous hand division, while D-Robotics originated from Horizon Robotics’ AIoT team, highlighting the spillover of technology and talent from established companies.
The AI sector showed a much wider valuation gap. DeepSeek alone accounted for about 59% of the sector’s combined valuation. Excluding the AI chatbot developer, the remaining 16 AI unicorns were worth a combined $43.2 billion, with an average valuation of about $2.7 billion.
The AI group includes developers of large language models, video generation technology, AI chips, computing infrastructure and AI drug discovery. Kling AI, valued at $18 billion, ranked second behind DeepSeek among newcomers, while four companies focused on AI chips and computing infrastructure, indicating continued investor interest in the sector’s underlying technology.
Semiconductors produced eight new unicorns covering automotive chips, communications chips, AI processors, autonomous driving chips, advanced packaging and semiconductor equipment. Another seven operated in frontier technologies, including four quantum computing companies, suggesting commercialization in that field is accelerating.
Beijing and Shanghai lead by numbers
The 67 new unicorns are spread across 14 cities, though Beijing, Shanghai, Shenzhen and Hangzhou accounted for 51 companies, or 76.1% of the total.
Beijing led with 19 companies, narrowly ahead of Shanghai’s 18. However, Beijing’s newcomers were valued at a combined $48 billion, almost double Shanghai’s $25.5 billion, helped by high-value companies such as Kling AI and AI drug discovery startup Huashen Intelligent Medicine.
Hangzhou ranked fourth by company count with five new unicorns but topped all cities by valuation. DeepSeek alone lifted the city’s combined valuation to $68.2 billion, representing more than one-third of the national total for new unicorns.
Regional specialization also became more pronounced. Two-thirds of Shenzhen’s new unicorns were robotics companies, reinforcing the city’s position as China’s leading hub for humanoid robotics. Hefei’s three new unicorns all operate in hard technology fields including quantum computing and autonomous driving chips, while Suzhou’s four newcomers are concentrated in intelligent vehicles.
Fast and slow paths to unicorn status
There are two distinct routes to becoming a unicorn.
Companies founded during the AI boom have reached billion-dollar valuations rapidly. Fourteen of the new unicorns were established in 2023, followed by 10 in 2022 and eight in 2021. Nearly half were founded within the past three years, broadly coinciding with the rapid adoption of generative AI after ChatGPT’s debut.
The average time from founding to unicorn status was 4.7 years, with a median of 3.7 years. About one-third achieved unicorn status within three years, while more than two-thirds did so within five years.
Many of the fastest-growing companies were founded by well-known entrepreneurs or spun out from larger technology firms. Bulage Technology, founded by former Alibaba Tongyi Qianwen executive Lin Junyang, became a unicorn just one month after its establishment. Other rapid entrants included AGILINK, Sunrise, spun off from SenseTime’s AI chip unit, and Zhiyan Huisheng, founded by a Tsinghua University associate professor.
By contrast, companies in semiconductors, biotechnology and advanced manufacturing generally required much longer development cycles. Several, including Goertek, Galtron and Yuanqi Bio, took more than a decade to reach unicorn status, reflecting higher technical barriers and longer commercialization timelines.
The latest surge highlights China’s transition from internet-driven entrepreneurship toward hard technology innovation. But the concentration of investment in AI and robotics also raises the possibility of crowded markets and inflated valuations. Whether newly created “lightning unicorns” can deliver on commercial expectations over the next one to two years will be a key test for the sector.
Source:
IT Juzi
