Every time I speak to new potential customers, I leave the call questioning whether what we’re building actually solves a painful enough problem. And honestly, I think this is one of the biggest problems in AI right now. Software has become so commoditised and barriers to entry are so much lower. Anyone can build something. Anyone can automate something, spin up some workflow and say they’re “solving” a problem. But are people actually speaking to enough customers to know if the pain is big enough? Big enough for someone to actually care and for them to change behaviour, install something new, learn it, trust it, and pay for it. Because every single time we speak to customers, something changes. Our sales strategy changes, we add a new feature, the product logic changes. Sometimes even the way we think about the actual problem changes. It feels like constant iteration because the closer we get to customers, the more we realise what matters to them is often completely different from what we initially thought. And it’s making me think a lot of people are building solutions before they’ve actually validated whether the problem is painful enough in the first place. AI makes building easier but it doesn’t automatically make something worth adopting. Curious if anyone else building in AI feels the same, or if I’m overthinking this. submitted by /u/Sales_mind
Originally posted by u/Sales_mind on r/ArtificialInteligence