I’ve been working with AI tools to help local businesses increase sales and automate their processes, and I wanted to share an honest observation and hear others’ experiences. From the provider side, the revenue curve has been slower than expected. Not because AI doesn’t work — it clearly does — but because many businesses still struggle to understand or truly value what AI can do for them. For a lot of owners, AI still feels abstract, risky, or “nice to have,” instead of a core business lever. Another challenge is perception. When AI services are not positioned or managed by experts, they quickly get commoditized. Clients compare them to cheap tools instead of outcomes. In my experience, results improve when AI is framed around clear business impact (more leads, faster response, fewer manual tasks) and when it’s actively managed, not just “set and forget.” I’m curious how others here see it: • Are you experiencing slow adoption despite strong results? • How are you educating clients without overwhelming them? • What’s helped you increase the perceived value (and pricing) of AI-driven services? Would love to learn what’s working — and what’s not — for people building or selling AI solutions in the real world. submitted by /u/cosuna_ia
Originally posted by u/cosuna_ia on r/ArtificialInteligence