The Billion-Dollar One-Person Company
The first billion-dollar one-person company. It hasn't happened yet. But will it happen by 2030? This is a bet between Sam Altman, the founder of OpenAI, and a number of tech leaders, given the swift adoption of AI tools. When I heard about this, I couldn't help but wonder: will it be possible for one person to do a job that has traditionally required a team — often a diverse mix of intelligent individuals, each helping to steer a massive enterprise?
I think it ultimately comes down to two questions. What setbacks will these so-called solopreneurs — individuals running businesses alone using AI — face? And what advantages could AI offer over human employees with real-world expertise?
When I considered the current capabilities of AI agents, I thought about the OpenAI operator demo. The demonstration was undeniably impressive, with an AI system capable of simulating tasks traditionally done by humans. However, it still had issues: credential limitations, slower processing speeds, and repetitive questioning from the AI. Despite these flaws, I can see the technology improving, allowing solopreneurs to delegate increasingly complex tasks with refined, detailed instructions.
Some people worry that AI might not be a good idea generator, brainstorming partner, or emotional support system. But I argue that AI could become more thorough and nuanced in these areas over time. I believe that when it comes to building a one-person grand enterprise, AI struggles most with what people assume it should excel at — scaling. And not just in terms of computational power, but in growing a business itself.
Many may not recognize the name Minhong Yu, but in mainland China, he is widely known, along with his company New Oriental Education and Technology Group (NYSE: EDU), which dominates the private education sector. In his latest biography, he describes the driving force behind his company's expansion and why he had to bring in partners at various stages of growth. Yu was an exceptional GRE instructor, but when his company sought to launch an English-learning program for younger students, he needed experts in that field. Even in this "related diversification," where he could leverage his existing educational platform, he still needed specialists to manage the details.
One could argue that AI possesses more knowledge than any human expert. But would you give AI full autonomy to run an entirely new business line outside your expertise? If so, how would you control risk? How would you improve your business? And if AI could truly handle all of that independently, then why would the business even need you? Ultimately, this comes down to a fundamental question: how much trust and freedom are we willing to give AI?
On the other hand, AI could solve one of the biggest challenges in business: conflict, particularly when it comes to profit distribution. Minhong Yu has spoken about the constant disputes among his company's leadership over decades, even when ownership stakes were clearly defined. The issue was never about who owned what — it was about how to fairly distribute profits. This is a universal challenge in private businesses, whether family-run enterprises or startups founded by friends, because contribution is difficult to measure and most people prioritize their own interests.
But with AI and a solopreneur, these issues disappear. AI may come with costs, but it won't argue over equity, dispute financial decisions, or cause a company to collapse due to internal conflicts. That, in itself, is a significant advantage.
I still believe we will see the first billion-dollar, one-person company in the near future. Why? Because why not? I like being amazed by what's possible.