Founders aren't scared AI will replace them. They're scared it'll remove their excuses.

This hits, especially the “AI kills excuses” part.

I’ve felt that shift building something recently — the barrier isn’t really building anymore, it’s deciding what’s actually worth building. AI made execution cheap, but it didn’t make judgment any easier.

If anything, it made it harder because now you can go in 10 directions instead of 1.

Curious — do you think this leads to better founders long-term, or just more noise?

There's a difference between quality and quantity.

Here's what I've noticed: when people make heavy use of AI tools they tend to build anything and everything they can think of, regardless of if there's a market for it, if someone else has already built a better version, or if it's really production-ready.

AI improves quantity, sure, but I'm not convinced that it improves quality.

There's an excercise that artists do where they give themselves an artificial constraint and rely on their creativity to work around it. Hackers do this do; the demoscene is a classic example; have a look at js1k. I encourage you to try, just to exercise your muscles, building something without AI.

I'll agree that AI lets you build more things or build faster but I'm not convinced that it makes you build better.

I don't think customers actually care about AI usage, despite the hype. I think they care about whether your product is reliable and good.

not sure about 'kills every excuse' - it shifts them. execution barrier gone, yeah. but now I'm spending more time QA'ing agent outputs than I used to spend building the thing. bottleneck moved, it didn't disappear.

In my case, the question isn't which task AI helped me accomplish faster, but what AI is helping me do, and the answer is simple: things I couldn't even dream of doing, simply because I lack the necessary knowledge, both technical and otherwise, to accomplish them... Besides, I'm developing and implementing an app; would I ever be able to do that??? Maybe if I dreamed big and well...

Strong framing, and Wonsik's comment about taste being the real bottleneck is spot-on. But I think there is a nuance being missed: AI removes execution excuses but creates a new kind of paralysis. When building is cheap, the decision cost per feature goes up, not down. I have experienced this firsthand — when I can prototype three different approaches in a day instead of committing to one for a week, I sometimes spend more time deciding than building. The real discipline shift is not about speed. It is about developing a faster feedback loop between shipping and learning. The founders winning right now are not just the ones who ship fast. They are the ones who have built systems to learn fast from what they shipped. That means analytics, user interviews, and kill criteria baked into every experiment from day one.

Fair point, but the real question isn’t speed. It’s taste. AI gives everyone the same building tools. The differentiator now is knowing what’s worth building in the first place. That was always the hard part, and AI hasn’t changed it.

That’s a strong take. Do you think AI is increasing accountability or just changing the way founders operate?

The taste point and the decision paralysis point are both right, and I think they're connected.

For me, AI didn't just remove execution excuses. It made the bet survivable. I'm a backend developer who couldn't justify hiring a designer for a product with unknown revenue. That was the stated reason I hadn't shipped in five years. The real change wasn't speed -- it was that a one-month failure costs one month. A six-month failure costs six months plus everything you didn't try while you were committed to it. That risk math changed completely.

xkbear's point about decision paralysis is something I'm living right now. When you can prototype three approaches in a day, you sometimes spend more time choosing than building. What's helped is setting a kill threshold before starting: what has to be true after 30 days for this to be worth the next 30? Forces the question before sunk cost locks in.

Wonsik is right that taste is the bottleneck AI hasn't touched. The ceiling is higher but the hard part moved, it didn't disappear.

100% agree — AI didn’t replace the work, it removed the excuses.

For me, the biggest unlock has been speed of iteration. Things that used to take days (research, copy, small features) now happen in hours.

The real shift is exactly what you said — people treating AI as a threat vs a lever. That mindset gap is only going to widen.

Also experimenting with something interesting around this —
you have an idea, $19 puts it in real competition. Winner gets a Tokyo trip (flights + hotel, $500 min guaranteed).
Round just opened, so odds are best right now: tokyolore.com

This hits. I spent months building an on-device AI model for skin analysis — the hard part wasn't the AI, it was removing every excuse not to ship. The AI was almost a comfort zone.

Wonsik's point about taste is the key thing. The bottleneck has completely shifted. Used to be I couldn't ship fast enough because coding took forever. Now the bottleneck is figuring out which of the 10 things I could build this week is the one that actually matters.

For the question — content research. What used to be a full day of reading papers, finding data, cross-referencing sources now takes maybe an hour. I can go from "I wonder if X is true" to "here are 6 studies that say Y" in one sitting. That's not a marginal improvement, it's a category change in how fast you can validate assumptions.

AI doesn’t just remove excuses, it compresses the gap between people who act and people who think.
The ones who win now aren’t smarter, they just ship faster with the same tools.