On June 25, the Hurun Research Institute released the highly anticipated "2026 Global Unicorn List" in Guangzhou. This list not only serves as a barometer of global scientific and technological strength but also clearly reflects the development logic of the artificial intelligence industry: AI large models have become the core driving force behind the value growth of unicorn companies.

Data from the list shows that the ranks of global unicorn companies continue to expand, with a total of 1,603 companies, an increase of 5.3% compared to last year. In terms of regional distribution, the United States still maintains its leading position, boasting 806 unicorn companies, accounting for half of the global total; China follows closely behind, with 381 companies, firmly holding the second place globally; the United Kingdom, with 70 companies, surpassed India and entered the third position globally.

Notably, the top three companies on the list show remarkable similarity - their core businesses are deeply integrated with AI large models. Among them, Anthropic, the parent company of Claude, became the world's most valuable unicorn this year, with a valuation surging to 6.6 trillion yuan. A gain of 6.1 trillion yuan in a single year not only set a new record in the Hurun Unicorn List history, but also directly demonstrated the capital market's intense demand for the commercialization potential of large models.

The second place on the list is occupied by OpenAI, the parent company of ChatGPT, with a valuation of 5.8 trillion yuan. As a leader in the field of large models in China, ByteDance (the parent company of Douyin) maintains the third position with a value of 3.3 trillion yuan.

The dominance of these three companies is not merely a result of a bubble in capital markets, but rather a true reflection of the intensifying "Matthew effect" in the AI industry. As large model technology moves from the laboratory into the deep waters of the industry, computing power, talent, and data resources are accelerating towards leading companies. For the global science and technology ecosystem, this list sends a clear signal: in the wave of a new productive force, artificial intelligence, companies that can first establish a technological moat in large models have become the core forces defining the future tech landscape.