A shift I’ve been thinking about since an AI presentation generator became part of my workflow: the hard part of making a presentation moved, and I’m not sure the tools help with the part that was always hard. Making a presentation is really two jobs. One is production: layout, formatting, turning bullets into slides, keeping it consistent. The other is narrative: deciding the one thing the audience should walk away with and building an argument that gets them there. Generators have basically solved the first job. Point them at some notes and you get clean slides in a minute. But the second job is untouched, and it was always the one that decided whether a talk worked. A generator will happily turn a pile of unstructured notes into a polished deck that has no point. It reformats, it doesn’t reason about what you’re trying to prove. So the skill that matters shifts from “can you build slides” to “can you decide what deserves to be a slide at all”. What nags at me is that fast, good-looking output hides a missing argument. When a draft looks finished, people stop interrogating it. A blank page at least forced you to think about structure before you had anything to show. My take: these tools are great once you know your point, and a trap before you do. The deciding didn’t get automated, it just got easier to skip. For people who present a lot: has generating decks faster made your talks better, or just faster to produce? submitted by /u/DifferentSecret28
Originally posted by u/DifferentSecret28 on r/ArtificialInteligence