by Tan Aik Keong (AK)
A notable new phenomenon has been emerging in China's startup scene lately: the AI OPC, short for "one-person company." An AI OPC isn't the traditional idea of a solo founder slowly building a small business — it's one person using AI to do work that used to require an entire team: product development, market research, content production, customer service, sales follow-up, data analysis, and even parts of finance and admin.
This matters because it changes our basic mental model of what starting a company requires. In the past, you needed at least a few people — someone who understood product, someone technical, someone in sales, someone running operations. Today, one person plus a set of AI tools can do what used to take a small team. AI isn't just an assistant any more — it's starting to look like a set of virtual employees: one writing code, one designing, one drafting copy, one handling customer service, one doing research, one running automation.
Why this is happening fast in China
First, AI tools have matured. AI is no longer just a chatbot — it can write code, generate images, produce video, organise data, write marketing copy, build websites, and handle customer queries. A founder doesn't have to wait for every resource to be in place; they can turn an idea into a prototype, a prototype into a product, and put that product in front of the market, fast.
Second, China has a genuinely complete digital commerce infrastructure. E-commerce platforms, short-video platforms, mobile payments, logistics networks, manufacturing supply chains, livestream selling, and private-domain traffic tools all let a solo founder connect to the market quickly. AI handles productivity, platforms bring traffic, and supply chains handle delivery — together, that's what makes a genuine one-person company operationally possible.
Third, employment pressure on young people has intensified. China's university graduate numbers keep rising, while broader economic restructuring and more cautious corporate hiring — including slower growth in some traditional internet roles — have made "hard to find a job" a real experience for many young people. In that environment, AI OPC has become a genuine alternative: rather than wait for the ideal job, use AI to build your own income stream first. That might mean running a vertical content account, selling digital products, building small tools, doing cross-border e-commerce, offering automation services, or using AI to generate design and marketing work — things that used to need a team, now within reach of one person starting out.
Why AI OPC actually works
The key is that AI has dramatically lowered the cost of starting a business. In the past, building a website meant finding a developer; building a brand meant finding a designer; writing marketing copy meant finding a copywriter; handling customer service meant hiring staff. Now, a founder can use AI to get 70–80% of a first draft done, then judge, revise, integrate and execute the rest themselves.
In other words, the first step in starting a business is no longer "raise money, build a team, rent an office" — it's "validate demand, build a minimum viable product, find customers." It's a lighter, faster, cheaper way to start.
Where the limits are
We should stay level-headed about this, though. An AI one-person company doesn't mean one person can replace every kind of expertise. It suits asset-light, digitisable businesses with clear processes and fast iteration — content commerce, online courses, digital marketing, AI tools, software plugins, design services, automation consulting, cross-border sales. But healthcare, finance, industrial, logistics, government services or other high-risk sectors still need compliance, trust, accountability and a proper professional team.
So the real significance of AI OPC isn't "one person never needs a team" — it's "one person can now launch a business that used to require a team to even get started." Once the market validates that business, it may well still need partners, capital, staff, governance and organisational capability. What AI does is move the starting line for entrepreneurship dramatically forward, opening the door for more ordinary people to participate in innovation.
What should Malaysia do about it?
First, we shouldn't just think of AI as an office-productivity tool — we should treat it as infrastructure for a new model of entrepreneurship. Government could set up an AI solopreneur or AI OPC programme, offering cloud credits, subsidised AI tools, startup courses, and legal/tax templates, so young people, SME owners and freelancers can all start a business at lower cost.
Second, university and vocational education need to change. We shouldn't just train students to use traditional office software — we should train them to use AI for market research, product prototyping, process automation, data analysis, content marketing and business validation. Tomorrow's graduates need to be able to build a small business, not just find a job.
Third, SMEs need to catch up fast. Many Malaysian SMEs are short on people, budget and digital capability — which is exactly why the AI OPC model suits them. One owner and two or three staff, if they know how to use AI well, can match what used to take a dozen-plus people. Government SME digitalisation grants should evolve from "buy software" to "learn to run a business with AI."
Fourth, Malaysia needs to build a trustworthy AI ecosystem of its own. China can win on speed and scale; Malaysia can combine multilingual, multicultural strength, ASEAN market access, a solid compliance environment, and regional service capability. We don't need to copy China's scale — we can build an "ASEAN version" of the AI one-person company: small, fast, locally fluent, and able to serve regional customers.
The rise of the AI one-person company tells us something very clear: future competition won't necessarily be big companies beating small ones — it'll be individuals and small teams who know how to use AI beating traditional organisations that don't.
Malaysia can't just watch from the sidelines. We need young people willing to start businesses, SMEs that know how to use AI, an education system that keeps pace, and policy tools grounded in reality. AI won't automatically deliver prosperity — but it will reward whoever moves fastest, learns fastest, and commits hardest to transformation.
The lesson from China's AI OPC wave isn't "one person is enough" — it's that in the AI era, one person's starting point is already stronger than a whole team's used to be. If Malaysia can grasp that, the next decade's innovation doesn't have to belong only to big countries — it can belong to smaller, faster, more adaptable ones too.
Part of the AK AI Corner column. Originally published in Oriental Daily (东方日报) on May 2, 2025.