Feels less like a bubble and more like a sorting phase.
AI works great where the data, ownership, and goals are clear.
Everywhere else, it feels impressive… until humans step in to fix the output.

This gap makes sense.
Leadership sees demos.
Workers see cleanup.
AI often adds a new step: verify, re-edit, double-check.
If the workflow isn’t clear first, AI just hides the mess longer.

I think the real issue isn’t “AI vs no AI.”
It’s where AI is added.

I’ve seen tools give confident answers to the wrong question, like autocomplete finishing the wrong sentence perfectly.
That’s not evil. That’s bad timing.

Teams that win with AI do boring things first:
clean workflows, shared definitions, simple rules.

Only then does AI feel magical.

I broke this down with real startup examples:
www.budventure.technology/blog/why-add...

Where has AI made a product worse for you?

#AI #Startup #ProductDesign

Google Search. Chatbots. Notion. Instagram.

AI didn’t break these products.
It exposed what wasn’t clear: content, intent, ownership, definitions.

AI doesn’t create clarity.
It multiplies whatever already exists.

Agree. When the problem isn’t clear, AI just gives faster answers to the wrong question. That’s when teams think progress is happening, but users still struggle.

Exactly.
People talk about “safe AI” at the model level, but most issues start much earlier: unclear workflows, bad data, fuzzy ownership.
AI just makes those cracks harder to notice.

This feels less about ads and more about maturity.
When AI is added before the product is ready, every decision, pricing included, looks messy.
AI magnifies weak foundations, not just revenue problems.

“Safe AI” isn’t just about the model.
I’ve seen problems start when AI gets added on top of unclear workflows or messy data.
If the product isn’t stable yet, AI just makes failures harder to see.

This feels less about “using AI or not” and more about when.
I’ve seen teams add AI to support or search before things were clear, and users just got faster, wrong answers.

AI helps most when the system already makes sense.

Wikipedia works because the basics were clear before AI touched it.
Sources, structure, and rules came first.

Most products do the opposite. Add AI while things are still messy.
AI doesn’t fix that. It just spreads the mess faster.