A profound transformation is sweeping through China’s economic landscape, fundamentally altering how fortunes are made and who holds them. For decades, the term 'Tuhao'—the unrefined, often poorly educated tycoon—defined the nation's billionaire class, rising primarily from the labor-intensive realms of real estate and retail. Today, that era has unceremoniously ended, replaced by the 'Jihao,' or the technological elite, who are accumulating wealth at a speed and scale that defies historical precedent.
At the heart of this shift is the generative AI boom. Liang Wenfeng, the founder of DeepSeek, and Yang Zhilin of Moonshot AI, have seen their personal valuations soar to an estimated 180 billion and 100 billion RMB, respectively. The velocity of this wealth creation is staggering; Yang's net worth reportedly jumped by nearly 90 billion RMB in less than six months. For these 'Jihao,' wealth is no longer built over decades of physical construction but is minted daily through the iterative power of large language models and proprietary chips.
This phenomenon extends well beyond private startups to the public markets. Companies involved in AI infrastructure—ranging from chipmakers like Cambricon to optical module providers like Zhongji Innolight—have seen share prices quintuple within two years. In the eyes of Chinese investors, a single year in the AI sector now yields returns equivalent to five lifetimes in traditional industries. Even as global giants like Nvidia and SK Hynix dominate the international stage, Chinese 'tech titans' are carving out a parallel domestic empire of immense capital concentration.
However, this new paradigm introduces a troubling economic friction. The 'Tuhao' of yesteryear, while often criticized for their lack of sophistication, operated in sectors with vast supply chains that distributed income across millions of jobs in construction, logistics, and sales. In contrast, the 'Jihao' model is hyper-efficient and exclusionary. A firm like OpenAI or DeepSeek can command a valuation of hundreds of billions with only a few thousand employees, concentrating the 'spoils' of the digital revolution among an extremely narrow demographic.
This discrepancy explains the current cognitive dissonance in the Chinese economy: the 'macro' data fueled by high-tech exports and AI valuations looks robust, but the 'micro' experience for the average citizen feels increasingly precarious. As real estate and retail—once the primary engines of the Chinese middle class—continue to stagnate, the wealth gap is no longer just about the quantity of money, but the technical barrier to entry. The 'Jihao' have conquered the future, but they have done so with a workforce that is a mere fraction of the industries they have displaced.
