.---------------------------------.
      |  "I shipped the whole MVP        |
      |   in a weekend!"                 |
      '-----------------------.  .-------'
                               \/
   (●)         (●)     
   .-------------.     .-------------.
   |  ⌐■────■   |      | > ________  |
   |      ▾      |     | | mvp.py  | |
   |   \_____/   |     | |_________| |
   '-------------'     '============='

TLDR: when everyone can build an MVP in a weekend, the MVP isn't the moat. The moat is everything you did before you opened your laptop.

Stack Overflow's 2025 Developer Survey says 84% of developers now use AI tools. That number doesn't surprise me. What surprises me is how fast the bar moved once it hit critical mass. Six months ago, shipping a production-ready MVP in a weekend was a party trick. Now it's table stakes. You can scaffold a FastAPI backend, generate a React frontend, wire up auth and a database, and deploy to production before your coffee gets cold. The tools are that good.

And that's exactly the problem.

Here's what nobody wants to say out loud: when everyone can build the same MVP in the same weekend with the same tools, the MVP itself has zero strategic value. It's not a moat. It's the minimum price of admission, and the price just dropped to roughly zero.

I'm not saying this to be contrarian. I've been building things long enough to watch this cycle repeat. Every time a tool collapses the cost of building, people get excited about the building and forget that building was never the hard part. It's like watching the Bills load up on skill players every offseason and somehow field the same broken offense in December. The shiny part isn't the part that wins.

What actually matters now

The founders winning right now aren't the fastest builders. They're not the ones who found the cleverest prompt or the best AI workflow. They're the ones who did 15 to 20 deep-dive customer interviews before they touched a keyboard.

That sounds boring because it is boring. It's the unglamorous work that AI can't compress into a sprint. You can't prompt your way into understanding why a logistics manager in Cincinnati hates her current routing software. You can't generate the trust that makes a VP of operations tell you what actually keeps her up at night. That's distribution. That's domain expertise. That's the operational stuff that doesn't fit in a prompt.

Let me be fair to the other side for a second. The AI building tools are genuinely incredible, and I'm not telling you to ignore them. If you're slow to adopt, you're just putting yourself at a disadvantage. Ship faster, absolutely. Use every tool you can. The speed is real and it matters.

But speed of building was never the bottleneck that killed startups. Distribution was. Domain expertise was. Understanding the problem well enough that your solution doesn't feel generic. Those are still the bottlenecks, and AI doesn't touch them.

The new calculus

Here's how I'd think about it if I were starting something today:

Build less, learn more. Do the 20 interviews. Understand the problem better than the person living with it - not because you're smarter, but because you're looking at it fresh and they're too close. Then build the smallest thing that solves the real problem, not the impressive thing that solves the imagined one.

The founders who get this right have a kind of patience that looks weird in 2026. Everyone else is shipping. They're talking. And then when they finally ship, the thing works because it was built for someone specific, not for a demo.

I know I can build a whole story in my head about why this is the answer. And maybe I'm wrong about the degree - maybe the tools get so good that even distribution gets automated. But I don't think I'm wrong about the direction. The cheaper building gets, the more the moat moves upstream into the stuff you can't generate.

The MVP is free now. The work that matters is everything before and after it.

- Chris