Been digging into how AI is being used across businesses in 2026, and something feels a bit off. So on paper, the adoption looks massive and promising. Most companies are using AI in some capacity no, content, ads, chatbots, automation, all of it. And we’re seeing teams saving time, faster outputs and efficient workflows. But when you look closely, the result isn’t matching the hype. A lot of setups are still surface-level optimization… be it quicker replies, smarter dashboards. But not necessarily better outcomes. Revenue impact still seems inconsistent unless AI is tied directly to a bottleneck. The few cases where it does work well usually have one thing in common: AI is plugged into something that directly affects conversion. For example, in automotive, some dealers started using AI not just for marketing, but for fixing how their inventory shows up online. Better visuals, faster listings, more consistency. That alone changed engagement nd reduced time-to-sell. So it wasn’t ‘AI everywhere’… . it was AI in the one place that actually mattered. Makes me think about the shift in AI adoption, which is more AI placement. Looking to have a discussion on this. If people you actually tying AI to revenue-driving workflows, or mostly using it for productivity gains right now? submitted by /u/AutoMarket_Mavericks
Originally posted by u/AutoMarket_Mavericks on r/ArtificialInteligence