Sree Chintala

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?

I m starting to think most SaaS products are on borrowed time. With AI getting smarter every day, it s poised to swallow up their use cases. AI will learn to do what SaaS tools do and at some point it will be easier for the user just to use the AI. I recently saw a tweet claiming that by next year, 90% of code will be AI-generated. If development costs are plummeting to zero, why would anyone pay for a traditional SaaS subscription, when his favourite AI can do the same?

Do you see it the same way? I d love to hear your take.

From testing new products, I've come to several conclusions and possibly also identified mistakes that product creators make when launching them.

Whenever you want to attract your first testers (especially those who are well-known), try first to build up your credibility.