I think by 2030, the real question won't be "Do you use AI?" but "Can you work without it?"

I noticed this in my own life recently. 

I always said "I'm terrible at design" whenever I needed to make something look nice. 

A few of us at Product Hunt are putting on our most brutally honest (but helpful!) hats and roasting landing pages for the next two days. Want in? Drop your link below, and we ll give you real, no-BS feedback on:

Clarity Does your message make sense or sound like corporate soup?
Calls to Action Do we feel compelled to click, or just leave?
Design & UX Smooth experience or rage quit territory?
Anything else Tell us what you want feedback on.

Hey guys! Non-technical founder here who has fallen into the trap of over-engineering a product (lol). My co-founder and I are now figuring out what exact problem we solve, when we address too many use cases.
How did this start out?
We originally set out to build a privacy-first copilot.

Our heaviest users ended up being marketers, and we had to dig out why (we literally called and went to their offices):
- They had to figure out different tools
- They had scattered data across dashboards, sheets, reports etc.

- They had no time to analyse and dig deep into channels, they're busy executing

I'm seeing a growing trend of B2C products actively advertising their AI features as a USP, claiming AI being the prime solution.

However, being back in my hometown for a weekend, I've heard a lot of apprehension around data privacy and a general lack of understanding "what happens in that blackbox". Nothing I hear very often back in Berlin, so demographic differences are clearly playing a big role in user receptiveness.

Transparency is crucial, no doubt. Advertising AI on platforms like producthunt or in decks for investors makes a lot of sense - that's the right audience.
But are we far enough along the AI adoption curve for "AI-powered" to be a major selling point on the customer-facing side? Or are we scaring off potential users with concerns about data usage and complexity?
Let's discuss!

• Have you seen AI transparency hurt or help your user acquisition efforts?

• How are you addressing user concerns about AI?