The One-Person Company Era: How AI Is Turning Solopreneurs into Empires

July 19, 2026 — Walk into the B2 floor of the Shanghai World Expo Exhibition and Convention Center during WAIC 2026, and you'll find a different kind of energy. It's not the polished stage of the main forum, nor the shiny exhibition booths of tech giants. It's a space where young founders — many still in their 20s — are showing the world what happens when one person, armed with AI, can do the work of an entire company.

This is the OPC (One-Person Company) zone, and it's the first of its kind at WAIC [citation:1].

For the first time, WAIC has dedicated real estate to a phenomenon that is quietly reshaping the global economy: the rise of "super-entrepreneurs" using AI to build companies with almost no employees. It is the biggest shift in entrepreneurship since the internet itself.

What is OPC? More Than a One-Person Company

The term "One-Person Company" might bring to mind the traditional image of a freelancer or a small shop owner. But the OPC movement driven by AI is something far more ambitious [citation:2].

The new definition, formalized by China's first Artificial Intelligence OPC Terminology industry standard (effective August 1, 2026), describes an OPC as: "An enterprise led and controlled by one core individual, generally with no more than 10 employees, whose primary business involves AI technology research, development, application, or services. The core individual's personal brand and professional expertise are the primary assets, leveraging intelligent agents to achieve independent operations and scaled delivery" [citation:7][citation:10].

AI is the critical differentiator. The "intelligent agents" are not just simple tools but active "digital partners" that execute tasks, collaborate, and amplify the output of a single human brain, turning a person into a "super-entrepreneur" [citation:2].

Digital Partners: The AI Agent Workforce

In an OPC, AI agents are the new employees. They handle the operations that a traditional startup would require a team to manage.

As one OPC founder put it: "One person's core is to subtract and control costs, and use intelligent agents to multiply and expand capacity" [citation:2].

Real-World OPCs: From Zero to Millions

The numbers are impressive, but the stories are more compelling. Here are a few of the standout OPCs from WAIC 2026:

The Policy Wave: Cities Compete for OPC Talent

The OPC movement is not just a grassroots trend; it is being actively encouraged by policymakers at the highest levels.

Central Government: In June 2026, seven central ministries, including the Ministry of Industry and Information Technology, jointly issued a policy explicitly calling for the "accelerated cultivation of AI one-person companies" [citation:4].

City-Level Competition: Cities across China are vying to become the top destination for OPCs, offering a range of incentives:

• Beijing: Offers up to 300,000 yuan ($41,000) in "model credits," 500,000 yuan ($69,000) in "computing power credits," and a specialized "OPC Loan" credit product, with a goal of establishing 100 OPC communities and nurturing 100 OPCs with annual revenue exceeding 10 million yuan ($1.38 million) [citation:7][citation:12][citation:14].
• Shanghai: Provides up to 300,000 yuan ($41,000) in free computing power to new OPCs in the Pudong New Area [citation:2].
• Shenzhen: Offers up to 100,000 yuan ($13,800) in relocation subsidies, 18 months of rent-free office space, and 3 months of free accommodation, plus special policy support in Longgang District [citation:13].
• Suzhou: Aims to become the "OPC Entrepreneurship Preferred City" with a dedicated action plan [citation:4].

The Hard Truth: Opportunities and Obstacles

Despite the excitement, the path for OPCs is not without its challenges [citation:1].

• The "Zero Income" Problem: While 80% of OPCs have established an initial user base, over 60% are still generating zero revenue. Building a product is one thing; making money is another [citation:1].
• Bureaucratic Barriers: Current policies often fail to accommodate OPCs. For instance, a company might meet the revenue requirements to be classified as a "high-tech enterprise" but be rejected for having too few employees. Subsidies for computing power are also often tied to the number of employees and social security contributions [citation:1][citation:2].
• The Challenge of Homogenization: The low barrier to entry means many are rushing in. The danger is that without a unique core value, one's product will get lost in a sea of sameness [citation:1].

OPCs are a promising new model for the AI era, but they need to survive the reality of the market. As one observer noted: "Many OPC entrepreneurs start with great enthusiasm and jump in, only to be unable to get market feedback within two or three months, and their spirit dissipates instantly" [citation:1].

Key Takeaways