Every company becomes every company

We're in a strange place right now. The cost of building software has effectively collapsed to zero. You don't need a team of ten or twenty engineers anymore. A $200 monthly subscription to an AI coding tool can replace, or at least multiply, the output of a full-time developer who would cost you $5,000 to $10,000 a month. You can even set these tools to run autonomously if you know how to wire them up. This changes everything about how companies compete, and not in the way most people think.

The cost of shipping is now zero

AI-powered development tools have obliterated the barrier to building software. Platforms like Replit, Lovable, Cursor, and V0 allow a single person, sometimes even a non-developer, to create full applications through natural language prompts. Andrew Wilkinson, a well-known tech investor, summed it up when he said he'd tried them all and they are all converging. What once required entire engineering teams can now be done by one person with an AI subscription. An early-stage founder recently built a SaaS product with zero developers in two weeks using AI coding tools, and hit $5K in monthly revenue almost immediately. Someone on Replit cloned a functional LinkedIn prototype from a single prompt. These aren't hypotheticals. This is what building looks like in 2026. And the economics are absurd. AI tool costs are rounding errors compared to salaries. Even at the high end, AI adds roughly 10% to development costs while potentially doubling or quadrupling output. That math is so compelling that adoption isn't a question anymore.

When features are free, everyone copies everyone

Here's the problem. When the cost of shipping a new feature approaches zero, differentiation evaporates. The moment someone launches something innovative, ten competitors can replicate it in days. Not months. Days. This isn't just happening with startups. Forbes published a piece asking why so many AI startups are copying each other, and the answer is simple: capital makes companies careful. When growth slows and expectations rise, copying whatever is gaining traction feels safer than experimenting. It's easier to justify to investors and easier to defend when growth flattens. The result is a landscape where nothing is sticky anymore. When customers can leave in a single afternoon, originality doesn't buy you much time. So companies converge. Every product starts looking like every other product. Every pricing page starts looking the same. Every feature set becomes a checklist that everyone ticks off.

The pricing convergence is wild

Look at what just happened with AI subscriptions. OpenAI launched a $100 per month ChatGPT Pro tier, slotting it neatly between their $20 Plus plan and $200 Pro plan. This is the exact same pricing structure Anthropic uses for Claude. Five tiers, same price points, same logic. Anthropic was first to subsidize coding usage through their subscription. Claude Code wasn't always included in the subscription, it originally ran through the API. But at some point they decided to bundle it in, and it worked. People realized they could get enormous value from it. Adoption surged. Then came the rate limits. Anthropic couldn't handle the demand. They kept tightening usage caps without a clear explanation. They acknowledged the issue but offered no real solution. And now this rate limiting problem has cascaded across the entire industry. Anthropic, Cursor, Codex, everyone is dealing with the same constraint in the same way. Everyone is just doing the same thing.

Brand is the last moat standing

So if the cost of building is zero, features are instantly copyable, and pricing converges across competitors, what actually differentiates a company? Brand. That's it. The traditional moats, proprietary technology, engineering talent, first-mover advantage, are all eroding. Y Combinator's framework on AI startup moats acknowledges that in the earliest stages, speed is really the only advantage. But speed is temporary. Once you build something people want, the question becomes how you defend it. Some argue that proprietary data is the new moat. Companies that have spent years building direct integrations and accumulating unique datasets have something that's genuinely hard to replicate. The data compounds over time, especially now that it can be used for model training. But for most companies, the moat isn't data either. It's the story people tell about you. It's whether people trust you, remember you, and choose you when ten alternatives exist. You could build your own OpenAI today. The technology is accessible. But people aren't going to switch just because your product works. They'll switch when your brand gives them a reason to care.

Who wins when everyone is the same?

This is the big question, and I don't think anyone has a satisfying answer. The AI coding tools market alone is projected to reach $30 billion by 2032. Claude Code has risen to dominate tooling usage, nearly as widespread as GitHub Copilot was three years ago. The market moves that fast. Today's dominant player can be tomorrow's footnote. The companies that will likely win are the ones that build the best operating system around their core product, not just the best model or the best feature. Memory systems, orchestration frameworks, tool ecosystems, deep workflow integrations. The differentiation isn't in what you build but in how deeply you embed yourself into people's lives. But even that feels temporary. Because if someone else can build the same integration layer in a weekend with AI tools, then we're back to square one. Maybe the honest answer is that nobody wins in the traditional sense. Maybe we're entering an era where the market fragments into a thousand similar products, each surviving on a small loyal audience attracted to a specific brand or voice. The winner isn't the company that captures the whole market. It's the company that captures enough of it to stay alive. And in that world, the most valuable thing isn't your code, your features, or your pricing. It's whether anyone actually cares that you exist.