AI-powered One Person Companies boost micro innovation vitality

According to Securities Daily, the Zhejiang Administration for Market Regulation held a work promotion meeting on the pilot development of artificial intelligence One Person Companies (OPC) on 31 October 2026. Ten supporting measures covering workspace, computing power, data, talent and finance were released to carry out pilot programmes for AI OPCs in Hangzhou, Ningbo and other cities across the province. Since the start of the year, Guangdong, Anhui, Jiangsu and other regions have rolled out matching policies to foster this new type of business entity.

An AI OPC refers to a lightweight start-up model centred on individual entrepreneurs, who rely on large AI models, affordable computing power, intelligent tools and digital service systems to complete the whole industrial chain including creative design, product research and development, and service delivery independently. This model lowers the threshold for innovation and unlocks individual creative potential.

Traditional entrepreneurship relies heavily on teams, premises and capital, leaving many creative ideas unrealised due to high organisational costs. AI tools streamline research, design and operation procedures, allowing individual entrepreneurs to target niche market demands, conduct low-cost trials and rapid iteration within vertical sectors. Large numbers of AI OPCs act as micro entities within industrial ecosystems, capturing niche demands overlooked by large corporations, enriching the supply of AI applications and driving the industry-wide rollout of general large models. The lightweight model also creates flexible channels for technical and creative professionals to commercialise their expertise, forming an innovation ecosystem with complementary large, medium and small enterprises.

The emerging sector faces inherent structural limitations. Most OPCs operate with low asset bases and small scale, burdened by high computing power costs and limited access to high-quality compliant data. Institutional frameworks covering ownership of AI-generated content, intellectual property boundaries and the separation of personal and corporate assets remain incomplete. Conventional financial services fail to match the operational features of these new entities, with few credit products tailored to their business model. These businesses also struggle with customer acquisition, credit accumulation and risk resistance, restricting long-term growth.

Regulators have outlined multi-dimensional measures to support the steady development of AI OPCs. First, institutional gaps will be filled by clarifying registration rules, liability allocation and ownership of AI-generated content to stabilise market expectations. Second, innovation resources including computing power, data, talent and finance will be allocated precisely. New credit assessment and financing models for low-asset ventures will be developed to ease financing difficulties. Third, regulators will follow the principle of inclusive and prudent supervision. Policy-makers will maintain compliance standards while avoiding blanket restrictions, using regulatory sandboxes and tiered credit supervision to balance innovation promotion and risk prevention.

AI OPCs remain in the initial exploratory phase. Continuous policy support will help individual creative projects come to fruition with AI technology. Regional authorities will use clear policy frameworks to counteract development uncertainties and nurture more AI OPCs as micro carriers of economic resilience.