AI didn't raise the bar for startups. It flipped what the bar actually measures.

Old playbook: early traction = product-market fit. If people paid you at seed, you had something real. That worked for 10 years.

AI killed it. A 3-person team can ship a polished product in 2 weeks. Early revenue became trivial to manufacture and trivial to clone. A wrapper hits $1M ARR and gets copied by 3 competitors before the round even closes.

So I've stopped caring about the revenue numbers founders grind out. Fast early revenue used to be the signal. Now it's just table stakes and often a trap because it pulls you toward whatever AI made cheap to build.

What matters now: stuff you can't produce with a weekend and GPT-4. Proprietary distribution. Compounding data moats. Real switching costs. The boring barriers that were always hard and stayed hard.

The uncomfortable truth: most founders are still optimizing for a signal that just got devalued. The revenue chart looks fire. It no longer proves what they think it does.

The real question isn't "can I get traction fast?" Almost everyone can now.

It's "what do I have that the next team can't copy in 72 hours?"

If you don't have an answer, you don't have a business. You have a temporary arbitrage that expires the second someone else runs the same prompt.