This post seems pretty focused on the How of building AI products, but personally I think that whether or not an "AI product" succeeds or fails mostly wont come

This post seems pretty focused on the How of building AI products, but personally I think that whether or not an "AI product" succeeds or fails mostly wont come down to differentiation / cost / speed / model customization, but rather whether it is genuinely useful. Unfortunately, most products I've seen so far feel like solutions in search of problems. I personally think the path companies should be taking right now is to identify the most tedious and repetitive parts of using the product and looking for ways that can be reliably simplified with AI.