Summary of Key Points
One-person companies (OPCs) have become popular in the AI era, but they are not the inspirational myth of "one person achieving success through AI alone." AI is more like a lever that can amplify your existing capabilities (such as industry experience and customer networks), yet it does not solve the most fundamental issues in business: where to find customers, who will pay, how to make money, and who will bear the risks. The opportunities for OPCs have indeed increased (with the widespread adoption of individual entrepreneurship and the development of online transactions, as well as the growing number of AI users), but lower entry barriers do not mean easier operations. A successful OPC is one where "one person makes the key decisions and delegates the execution to AI and platforms." It's best to start with a side job before quitting your current position.
1. AI is a "super tool," not magic – don't mistake execution skills for business capabilities
Many people think that AI allows them to do the work of a small team on their own, thereby enabling them to become bosses. However, the reality is that AI can only assist with tasks like writing copy, designing visuals, coding, and responding to customer inquiries. It does not address the core issues of business:
- Who will buy your products?
- Why should they trust you?
- Can you make a profit after selling them?
- Who is responsible for any issues that arise?
For example, AI can generate 20 short-video scripts in a day, but it cannot determine which topics will generate sales; it can create brand visuals, but no one will pay for a unknown brand; it can reply to customers in bulk, but you still have to deal with negative reviews and refunds. The essence of an OPC is to "reprice personal skills": experienced individuals can use AI to turn their expertise into products (such as industry-specific courses or consulting services), doubling their efficiency. In contrast, those without a clear direction may produce content that no one wants, leading to greater losses.
2. The conditions for OPCs are improving, but skills are still necessary
Data shows that the environment for OPCs is getting better:
- 16.194 million new individual businesses were registered in 2025 (about 44,000 per day), with over 84 million having been in operation for more than three years.
- Online retail sales amounted to 15.97 trillion yuan, with online purchases accounting for 26% of total social consumption (1 out of every 4 yuan spent).
- There are 602 million users of generative AI, meaning one in every two people uses AI.
These figures indicate that infrastructure such as AI, platforms (e-commerce/content platforms), and payment logistics have significantly lowered the barriers to starting a business (no need to rent a storefront or hire employees). However, starting is easy, but surviving is another matter: the real challenges are selling products, delivering them well, and managing finances. For instance, you might create a mini-program with AI, but if no one uses it, or if the return rate is high, you won't make a profit.
3. AI is a multiplier – the strong get stronger, and the chaotic get more chaotic
AI is not a tool for equality; it helps those with a foundation (who understand their industry, customers, and how to provide good service) to excel even more, while those without a foundation suffer. For example, educators can use AI to manage leads and improve parent follow-ups by tenfold; cross-border sellers can use AI to select products and optimize listings, resulting in more orders. In contrast, those who are unsure about their customers, products, or how to make money will struggle, even if they work tirelessly.
4. AI amplifies existing strengths, but platforms are essential
AI makes it easier to operate (e.g., anyone can create posters or write copy), but making your products visible, trustworthy, and desirable to customers has become more difficult, as these resources are controlled by platforms. For example, you might create 100 product images with AI, but without platform recommendations, no one will see them; you might write customer service scripts, but without a platform's evaluation system, customers won't buy. Therefore, AI helps you use your skills more efficiently, but you still need platforms to sell your products.
5. Don't quit your job impulsively! Use AI as a side job first
Many people quit to pursue an OPC career, only to lose money due to mismanaged costs:
- Using AI incurs expenses (e.g., for multiple rounds of conversations or processing long texts).
- Platform fees, advertising costs, refunds, and living expenses are all part of the costs.
A more stable approach is to start with a side job:
- Step 1: Identify a specific issue in an industry you are familiar with (e.g., providing trial reminder services for educational institutions).
- Step 2: Use AI to improve efficiency (e.g., automatically sending reminder texts).
- Step 3: Verify that customers are willing to pay, that you can make a profit, and that your order sources are stable.
- Step 4: Consider becoming a full-time OPC only after these steps are secure.
A simple rule of thumb: If you don't know where your first 20 customers will come from, how much you can earn per order, or which tasks you must handle yourself, don't become a full-time OPC. While AI makes testing ideas cheaper, it's not free; you need to be practical.
In conclusion
The opportunities for OPCs are real, but they are not a fairy tale of AI making everyone a boss. Success requires a combination of experience, AI skills, and leveraging platforms. If you're not ready, AI will only speed up your failure. The key questions remain: where to find customers, why they should buy your products, and how to make a profit. If you can't answer these, even the best AI won't help you succeed.