How One Person Companies Make Money

How do One Person Companies make money? You charge ¥100 per AI copywriting project. Take 100 projects—you've still only earned ¥10,000. Why? Because you're trading time for money. The breakthrough point is productization: turn your service into a product, build it once, sell it a hundred times, with marginal costs approaching zero.

Three paths forward: AI-enabled service delivery (¥3,000-6,000/month) → Selling AI services (¥10,000-50,000/month) → Selling AI digital products (annual income can exceed ¥1 million). By 2026, China's One Person Company (OPC) base will surpass 16 million entities. The top 2% achieve 80-98% gross margins through productization. The bottom 80% languish at 10-30% margins on labor. The key isn't choosing which path—it's whether you can upgrade from selling time to selling systems.

Three Paths: How One Person Companies Make Money

Level one: selling time. Level two: selling capability. Level three: selling systems.

Path One: AI-Enabled Service Delivery, ¥3,000-6,000/Month. Starting with project-based work is the most pragmatic entry point. AI copywriting runs ¥30-100 per article. AI design, ¥50-200 per piece. AI video editing, ¥200-500 per clip. Resume optimization, ¥50-150 per document. Beginners putting in 1-2 hours daily earn ¥2,000-4,000 monthly. With experience, stable income hits ¥5,000+. But this level has a hard ceiling—you're selling time. Earn per project. Gross margins of just 10-30%. Income growth equals workload growth.

Path Two: Selling AI Services, ¥10,000-50,000/Month. This is where the breakthrough happens. What you're selling isn't time—it's the capability to save clients money on hiring. Multiple directions open up: AI Agent customization (¥3,000-50,000 per unit, helping businesses build automated AI Agents), AI managed services (¥1,000-5,000/month per client, handling marketing automation for SMEs), AI automation solutions (¥5,000-20,000 per project, transforming traditional business workflows), and AI training (¥3,000-15,000 per day, delivering AI workflow training to enterprises). Real case: Wu Peiwen, a former Meta employee, built an AI marketing consultancy after leaving. Clients pay $3,000-5,000 per engagement. His automation rate exceeds 90%. One person delivering what once required an entire team. Japanese entrepreneur Shi Yue earns approximately ¥15 million annually. Ninety percent of his problems get solved through AI tools. Monthly tool costs: just ¥3,400. The expense is virtually negligible.

Path Three: Selling AI Digital Products, Annual Income Can Exceed ¥1 Million. This is where marginal costs approach zero—and where income truly amplifies. Directions include: AI SaaS tools (¥50,000+/month subscription), AI Agent templates (¥5,000-20,000 per unit, created once and sold infinitely), and knowledge products (courses + community + coaching: ¥500,000-2,000,000 annually). Case study: Dan Koe generates over $5 million annually through knowledge products and membership community. Profit margin: 98%. Nearly pure profit. Independent developer Ji Yucheng built 50+ apps. Monthly income grew from a few thousand yuan to nearly ¥100,000—one person creating what once required an entire studio. Level three: 80-98% margins. Level one: 10-30%.

From Selling Time to Selling Systems: How to Make the Leap?

Most people get trapped at level one. Projects pile up. Income flatlines. The root cause: you're perpetually selling time. Income growth equals workload growth. The breakthrough point is productization: turn services into products, products into subscriptions, subscriptions into ecosystems.

Three steps: Identify high-frequency needs → Standardize and templatize → Build automated delivery workflows.

Identify High-Frequency Needs. During the project phase, document every client's core problems. Same type of request appearing 50+ times? That's your productization signal. The demand is frequent enough to warrant a product.

Standardize and Templatize. Use Agentic AI workflows to solidify services into reusable workflows. Here's an example: Orchestrate a "Content Operations AI Agent Team" in . Drag in the traffic acquisition AI Agent responsible for daily content production and client attraction. The conversion AI Agent handles automatic inquiry follow-up. The delivery AI Agent runs AI-automated production. The finance AI Agent tracks revenue and forecasts trends. Through Agentic AI orchestration, one person operates an entire money-making system. You review 3 AI daily reports each morning for key decisions. Everything else executes autonomously—your AI Agent team works 24/7.

My Recommendation

Back to the original question: How do One Person Companies make money?

The answer isn't "find a profitable project." It's building a system that generates revenue without requiring your direct execution.

My recommendations:

• 
  If you haven't started yet: Begin with project work. AI copywriting at ¥30-100 per article. One to two hours daily. Get started. Earn your first revenue. Don't wait until you're "ready." Start first, then optimize later.


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  If you're already taking projects: Document high-frequency needs. Orchestrate an AI Agent team with SoloEngine. Automate repetitive work. One person + AI Agent team = a 3-5 person team. Monthly API costs of a few hundred yuan replacing monthly overhead of ¥30,000-50,000.


• 
  If you want to break through the ceiling: Convert high-frequency needs into AI Agent templates or knowledge products. Build once, sell infinitely. This is the path to truly exponential income.

The ultimate goal isn't "how much money to make." It's building a money-making system that continues operating even when you're not there.