2026年，「一人公司」爆发

Core Viewpoint - The rise of "one-person companies" is transforming the entrepreneurial landscape, driven by advancements in AI and changing startup dynamics [6][12][76]. Group 1: Trends and Statistics - Over one-third of new companies are founded by solo founders, increasing from 23.7% in 2019 to 36.3% in the first half of 2025, marking a 53% growth over six years [9]. - The startup costs for 90% of one-person company founders are below $500, facilitated by the availability of cloud computing, SaaS tools, and AI resources [33][34]. - Reports indicate that 96% of people have used AIGC products, with nearly 70% using them daily, highlighting the rapid adoption of AI tools [29]. Group 2: Definition and Characteristics of One-Person Companies - A "one-person company" is defined as a business led by a single founder who utilizes AI and external resources to enhance their capabilities, rather than being limited to a single individual performing all tasks [18][24]. - This model allows founders to validate business ideas before assembling a team, leveraging AI tools to manage various aspects of the business efficiently [20][21]. Group 3: Reasons for the Surge in One-Person Companies - The capabilities of AI have expanded, allowing individuals to perform tasks that previously required team collaboration, thus enabling solo entrepreneurs to operate effectively [30][31]. - Successful examples of solo founders, such as Guillermo Rauch and Pieter Levels, have demonstrated the viability of this model, encouraging others to reconsider the necessity of co-founders [38][40]. Group 4: Challenges and Considerations - While one-person companies offer independence, they also present challenges such as loneliness and the burden of decision-making [51][67]. - The traditional view that co-founders are essential for risk-sharing and skill complementarity is being challenged, as conflicts among co-founders can lead to significant issues [46][47]. Group 5: Future of Organizational Structures - The emergence of one-person companies raises questions about the relevance of traditional organizational structures, as AI reduces the need for large teams and hierarchical management [59][64]. - Future organizations may evolve into dynamic networks of small teams and AI agents, capable of executing complex workflows without traditional management layers [65][66].