Amjad Masad isn’t asking if AI will change work. He’s saying the self-driving company is already here, and the businesses building with it now will leave everyone else buried in payroll costs they can’t sustain. The gap between AI-native operators and traditional businesses isn’t widening slowly. It’s widening every quarter.
Why This Is Happening Right Now
Masad’s concept is simple: a company where AI agents handle execution while humans set direction. Not AI as a helper. AI as the operating layer of the entire business.
Replit spent years building toward this. They turned code generation into a product tens of millions of developers use. But what Masad is saying now goes further. He sees the default company structure becoming small, founder-led, and powered almost entirely by AI agents running the daily operations.
This isn’t theory. According to McKinsey Global Institute, generative AI could automate up to 70% of business tasks that workers currently spend time on. According to the World Economic Forum’s 2025 Future of Jobs Report, 85 million job roles were projected to be displaced by AI while 97 million new AI-adjacent roles were expected to emerge. The catch is that the displaced roles are mostly task execution. The new roles are for people who direct AI, not compete with it on price.
Masad is pointing at the business model implication, not just the labor one. If your competitor ships a product with three people and an army of AI agents, and you’re running a 30-person team, you’re already losing on margin.
The Rich Versus Everyone Else Divide This Creates
Here’s what I keep saying and most people don’t want to hear. Most workers see AI as a threat to their job. That’s the employee mindset. The owner mindset sees AI as a way to compress a $5 million payroll into a $500,000 one while doubling output.
That isn’t hypothetical anymore. Companies are already doing it.
According to a 2025 survey by Fishbowl (owned by Glassdoor), over 40% of professionals reported using AI tools at work without telling their employer. That means the productivity gap is already invisible to most executives. The employees who figured out AI on their own are doing the work of two people. The ones who didn’t are getting priced out.
But that survey misses the bigger shift. The real move isn’t employees using AI quietly. It’s founders building companies that don’t need many employees to begin with. Masad’s self-driving company model is built for the person who owns the machine, not the person running on it.
The self-driving company has a few clear traits. Decisions still come from humans. But research, drafting, testing, scheduling, outreach, analysis, customer responses and everything operational runs on agents. One person with the right stack can now match what a 10-person team delivered in 2020.
According to Replit’s own data, the platform had over 35 million registered users as of early 2026, with the majority using AI code generation to ship faster than traditional development allowed. That’s 35 million people learning what Masad is now saying out loud: the bottleneck isn’t ideas. It’s execution. And AI removes the execution bottleneck entirely.
If you’re creating marketing content, video, and social for a lean business, tools like InVideo AI let a one-person operation produce polished video content without hiring a production team. That’s the self-driving company model applied to creative output. You own the output. You don’t pay a team to produce it.
What I Would Do If I Were Starting a Business Today
I wouldn’t hire before I had to. I’d treat every open role as a question: can an AI agent do this, and what does it cost per month versus per salary?
Most founders don’t ask that question because it feels uncomfortable. But the math is not complicated. A $70,000 per year employee costs closer to $90,000 when you add taxes, benefits, and overhead. An AI agent doing the same task might cost $200 per month. That’s an $87,600 annual difference per role you don’t fill.
I’d also build for the model Masad describes from day one. Don’t just use AI to get tasks done faster. Build your company so that AI is the operating layer. That means documenting everything as a workflow that agents can follow, not as tribal knowledge locked in someone’s head.
For the software stack, AppSumo runs lifetime deals on AI business tools that would otherwise cost hundreds per month in subscriptions. It’s one of the fastest ways to build a serious AI toolkit on a founder-level budget without locking into recurring costs before you have revenue to justify them.
The self-driving company isn’t a distant concept. It’s a hiring philosophy and a workflow design problem. You can start building it today with tools that already exist.
The Bottom Line
Masad sees it clearly: small teams, massive output, AI doing the execution. The question isn’t whether this model wins. It already is. The question is whether you’re building it or working for someone who figured it out first. The companies that get this right in 2026 will look untouchable in 2028. Their competitors will still be debating whether AI is ready.
Frequently Asked Questions
What is Replit CEO Amjad Masad’s self-driving company concept?
Masad describes a company where AI agents handle execution of most business tasks while human founders or executives set strategy. The idea is that AI removes the need for large teams by automating research, drafting, testing, outreach, and daily operations. It shifts AI from a tool to the operating structure of the company itself.
Is the self-driving company model realistic for small businesses today?
Yes, and it’s already happening. Founders are using AI agents for customer communication, content production, code deployment, and market research at a fraction of traditional hiring costs. The tools exist now. The main barrier is mindset, not technology.
What does the self-driving company mean for employees?
It means fewer jobs that involve executing tasks and more demand for people who can direct AI systems. According to the World Economic Forum, 97 million AI adjacent roles were projected to emerge alongside the 85 million displaced. Workers who adapt will direct agents. The ones who don’t will compete with them on price.
How does Replit connect to the self-driving company trend?
Replit built its platform around making software development faster through AI, and with over 35 million users according to their own data, it’s already a live case study in the model Masad describes. Their product is what the self-driving company uses to ship software without a full engineering team on payroll.
What is the first step toward building a self-driving company?
Start by mapping every recurring task in your business and asking whether an AI agent could handle it. Document your workflows clearly enough that a tool, not a person, could follow them. Then replace one task at a time before you commit to a new hire. The margin difference compounds fast once you start.
