A new entrepreneurial model for the AI era is emerging in China, with individuals achieving annual sales of up to 100 million yen.

The Era of AI Becoming "Employees": A Quiet Entrepreneurial Revolution in China

A new entrepreneurial model called the "One Person Company (OPC)" is gaining prominence in China. While it translates directly to "one-person company," it is not merely a rehash of sole proprietorship. A single founder combines generative AI, AI agents, SaaS, and cloud services to seamlessly manage everything from planning and development to marketing and customer support. Rather than being a company with fewer employees, these are "ultra-lightweight enterprises with AI at their core" that are beginning to increase in number. Chinese media refers to this as a "one-person army."

The spread of this movement is supported not only by technology but also by institutional and regional policies. The original article explains that the amendment to the Company Law, which took effect on July 1, 2024, lowered the barriers to registration and capital, making it easier for individuals to start companies. Additionally, Guangdong Province has launched an action plan to nurture AI-based OPCs, aiming to establish 10 leading communities by 2026 and 100 by 2028. The support is not just in name; it includes low-cost offices, co-working spaces, computing resource subsidies, and expedited digital registration, significantly lowering the barriers to entrepreneurship.

What is symbolic in the original article is that these companies are not just "dreams" but are already operational in the real world. In Qingdao, Shandong Province, an entrepreneur with experience in science and technology education has ventured into the field of AI-generated drama, establishing a content company in a one-person plus AI format. In Suzhou, the OPC business unit of home appliance giant Dreame Technology reportedly launches in an average of 12 days. In Jinan, a business involved in the design and sale of sporting goods achieved sales of 7 million yuan in 2025 using AI. The statistic that 92% of high-profit OPCs deeply incorporate AI tools indicates that, at least in China, companies "designed with AI in mind" are beginning to gain competitiveness.

What is important here is that OPCs are not merely discussed as a "cost-cutting technique." Multiple reports from China indicate that local governments are repurposing vacant offices and underutilized data centers into AI incubators to attract solo entrepreneurs. Rest of World reported that this competition aims to both accelerate AI adoption and create a safety net for tech talent facing layoffs and job insecurity. In other words, OPCs are not only an entrepreneurial trend but also an experimental ground for employment and industrial policy.

This structure subtly differs from the traditional startup myth. Conventional entrepreneurship theory suggests gathering talented co-founders, raising funds, and gradually expanding the organization. However, OPCs are the opposite. They start with one person, delegate work to AI, and fill gaps with outsourcing or partnerships if necessary. Before expanding the organization, they rapidly iterate on product and revenue hypotheses. In this sense, OPCs are not "small companies" but rather "companies that delay organization."

The Enthusiasm Spreading on Social Media—"The Democratization of Entrepreneurship Has Begun"

On social media and online communities, there are many voices welcoming this movement. On LinkedIn, reactions such as "The biggest change AI brings might not be new products but new forms of companies" and "Team size may no longer be an indicator of defensibility" have been observed. In short, if individuals can maintain a certain level of competitiveness in areas where "being able to hire people" was previously a prerequisite, the initial costs of starting a business drop dramatically. For individuals with ideas, this truly appears as the democratization of entrepreneurship.

This enthusiasm aligns with China's policy aspects. With subsidies, computing resources, low-cost bases, and rapid corporate establishment support in place, the psychological barrier to "starting small" is significantly lowered. Especially for the younger generation, the sense that they can handle everything from sales materials, app prototyping, e-commerce operations, video production, to ad text generation alone using AI tools is highly appealing. The original article also states that the founders are primarily those born in the 1990s and 2000s, suggesting that the entrepreneurial views of the AI-native generation are directly reflected in the form of companies.

However, Social Media Is Not Entirely Optimistic

On the other hand, tracking reactions on social media and forums reveals as much caution as there is expectation. Discussions on Reddit highlight concerns such as "It's good to break the unnecessary bloat of companies, but it accelerates the internet filled with AI slop" and "Spam will increase, reducing the overall reliability of the internet." Another reaction points out that while simple apps or sites can be created by one person, as complexity increases, skilled personnel will ultimately be needed to handle infrastructure and maintenance.

On LinkedIn, the cautious voices are quite realistic. Comments such as "Many one-person companies will fail within weeks," "Many people confuse tools with systems," and "The real challenge is whether you can create an execution layer that consistently operates AI in production tasks" hit the essence of the boom. Simply introducing AI does not make a company run. Unless you design reproducible business processes, quality control, risk management, and customer engagement, a "one-person company" will end up as mere fantasy.

Moreover, there are concerns about excessive reliance on AI agents. Reuters reported in March that some Chinese government agencies and state-owned enterprises are cautious and restrictive about using certain AI agent software due to security concerns. In other words, in China, the "trend of actively promoting AI" coexists with caution against the risks of incorporating AI agents directly into operations. The cautious arguments seen on social media are not merely anti-AI sentiments but are closer to issues of implementation and governance.

Will the Smallest Unit of a Company Change?

It is still uncertain whether the OPC boom is genuine. Many companies may have been established solely because of subsidies, and most may disappear in a few years. However, what cannot be overlooked is that the conventional wisdom that "companies are created by multiple people" is beginning to be shaken by AI. Processes that previously required gathering people are being compressed by AI. As a result, entrepreneurship becomes a contest of workflow design before gathering partners.

Perhaps what will determine the success or failure of OPCs in the future is not the "guts to do everything alone." It is the ability to delineate what to entrust to AI and what humans should continue to hold. Strategy, final decisions, customer understanding, and brand responsibility should be held by humans, while repetitive tasks, prototyping, groundwork, and parts of mass production are handled by AI. Those who are skilled at this division will be able to achieve high sales and speed even with a small number of people. OPCs are likely prototypes of "management that gains the greatest leverage with the smallest number of people" rather than one-person companies.

What is happening in China is a large-scale experiment to try out this prototype across society. Local governments provide locations and support, entrepreneurs run them with AI, and social media watches, either supporting or questioning them. There is risk within the enthusiasm, and new possibilities within the risk. That is why this movement is interesting. Will the day come when creating a company alone is no longer unusual? Or will it be reaffirmed that a company indeed needs a human team? The answer is not yet known, but at least the experiment has already begun.

Source URL

The Borneo Post/Xinhua. Base information for the article about the expansion of AI-driven "One Person Companies" in China.
https://www.theborneopost.com/2026/04/06/ai-driven-one-person-company-sparks-new-entrepreneurial-boom/

Xinhua English version. Referenced for confirming Guangdong Province's goals and Qingdao's support measures, close to the original article's source.
https://english.news.cn/20260402/247cefc7a8094e7f8cec1ecc874c0b9d/c.html

Chinese government English information site. Used to confirm the implementation of the Company Law-related registration capital system regulations on July 1, 2024.
https://english.www.gov.cn/policies/latestreleases/202407/01/content_WS66827a67c6d0868f4e8e8bd1.html

Guangdong Province English news site. Used to confirm AI-based OPC support measures and the policy of establishing 10 bases by 2026 and 100 by 2028.
https://info.newsgd.com/node_8b2d4f3946/2ea0969f74.shtml

Rest of World. Background supplement on how local governments are utilizing vacant offices and data centers to policy-wise support one-person AI entrepreneurship.
https://restofworld.org/2026/china-ai-one-person-companies-incentives/

LinkedIn post. Referenced to capture positive reactions and investor perspectives on how AI is changing the "shape of companies."
https://www.linkedin.com/posts/sergeykochnev_china-is-mobilizing-thousands-of-one-person-activity-7440143904462733312-OxWe

LinkedIn post. Referenced to understand cautious opinions on China's OPC model and concerns about AI agent operational risks.
https://www.linkedin.com/posts/elie-kallab_this-photo-is-from-shenzhen-people-are-lining-activity-7445501965528133632-d-3M

LinkedIn article. Supplement on how OPCs are viewed not just as productivity improvements but as "changes in employment and company structure."
https://www.linkedin.com/pulse/one-person-company-longer-theory-david-yeo-qq70c

Reddit thread. Referenced to confirm general user reactions, including concerns about AI spam, quality degradation, and job insecurity.
https://www.reddit.com/r/technology/comments/1rxuch2/china_is_mobilizing_thousands_of_oneperson_ai/

Reuters. Used to confirm the background of increasing caution in China's public sector regarding the use of AI agents due to security concerns.
https://www.reuters.com/technology/china-moves-curb-use-openclaw-ai-banks-state-agencies-bloomberg-news-reports-2026-03-11/