How AI Is Empowering One‑Person Companies: When One Person Becomes a Whole Team

On June 16, 2026, the 36Kr 2026 WAVES conference opened in Guangzhou, featuring a round‑table that explored the real ecosystem of AI‑driven One‑Person Companies (OPC). The discussion gathered OPC founders, university innovation leaders, and cloud‑computing experts.

From Three‑Wheeler Stalls to Code‑Powered Ventures

The panel compared 1980s individual merchants, who relied on physical stalls and local LBS services, with today’s OPCs that leverage code and media as near‑zero‑cost levers. AI has opened professional capabilities to ordinary people, giving a single founder production capacity comparable to a company.

Trend 1: Cloud User Profiles Are Shifting

Alibaba Cloud’s February survey showed developers account for only 20% of users, while product/operations professionals make up 35% and business owners 21%. Infrastructure services are moving from serving tech geeks to serving “people with ideas and businesses.”

Trend 2: Symbiosis Between OPCs and Platforms

OPCs excel in flexibility, speed, and deep niche focus; platforms excel in large‑scale, generic services and economies of scale. After AI levelling the playing field, go‑to‑market efficiency becomes the key determinant of an OPC’s ceiling and cost structure.

Trend 3: Scaling Requires Robust Systems

AI makes starting easy, but progressing from the first line of code to stable delivery and expansion demands supporting infrastructure. The ultimate limit of a one‑person company depends on the strength of its underlying system.

Is OPC a New Revolution or Old Wine in a New Bottle?

Founder Wang Zijian noted that both eras lower entry barriers, but today AI provides professional abilities previously unavailable. He identified three core differences: trigger (policy vs. technology), business form (physical LBS vs. network), and leverage (labor/capital vs. code/media).

How Does a Solo Company Make Money?

Wang described his GEO service platform, which uses ChatGPT for logos, Variant + Replit for websites, Codex or Claude for back‑ends, and AI image tools for visuals—compressing work that once required 5‑10 people into a single individual. AI handles repetitive tasks, freeing the founder for high‑value decisions.

Student‑Led OPC Directions

According to Zhan Zhicheng, university students focus on four OPC areas: AIGC content generation, AI‑powered e‑commerce, AI‑enabled smart healthcare (especially Chinese medicine overseas), and AI‑hardware integration. Teams are typically 1‑3 people, cross‑disciplinary, and transition from campus competitions to real‑world contracts with local support policies.

Why OPCs Need a Full‑Stack System

He Chuan explained that platforms are not competitors but partners; OPCs need deep niche knowledge while platforms provide large‑scale, standardized services. A staged roadmap—Starter, Lite, Professional—offers packaged scenarios and skill‑based calls to lower cloud adoption barriers.

Infrastructure and Compute as the Bridge

Li Ercheng (Intel) emphasized the gap between an idea/Demo and a stable, profitable company, which is bridged by platform services and compute power. In the “Agentic” era, CPUs handle scheduling, GPUs handle computation, and deep optimizations make enterprise‑grade resources feel seamless to solo founders.

Scaling Challenges and Solutions

Wang identified the hardest point as moving from a few orders to many, where founders revert to labor‑intensive management. He recommends three levers: productizing services, exploiting AI efficiency tools, and standardizing processes—exemplified by daily AI‑generated video updates.

He also shared product‑management insights: iterate quickly based on customer feedback, and focus on sales and go‑to‑market efficiency, as AI has equalized baseline capabilities.

Platform Support Throughout the Lifecycle

Cloud platforms accompany OPCs from inception to scale, offering simplified OPC packages on Alibaba Cloud. University support includes precise scenario matching, credit endorsement, and discounted compute resources to help students overcome order acquisition and delivery stability challenges.

Overall, the discussion concluded that AI and cloud infrastructure empower one‑person companies to achieve company‑level productivity, but sustained success hinges on systematic support, robust infrastructure, and efficient processes.