TLDR: Brand was always the moat. Trust was always the mechanism. Storytelling was always the medium. AI is failing at its creative promise because creative is a truth technology, not a content technology, and the tools have been built as if that distinction does not exist. Show someone a piece of AI-generated content and they will tell you something is off about it before they can explain what. The visual reads as polished. The copy reads as competent. The structure reads as professional. And still, something is off. They cannot trust it the way they trust work made by a person, and they cannot quite articulate why. Colloquially, we call that “AI slop.” The difference they are sensing is real. They are picking up on the absence of the thing that makes great creative work in the first place, which is human storytelling and constraint. Judgment. Choice. Taste. Whatever you want to call it, it’s the accumulated weight of decisions made by someone who actually had a point of view and chose this particular way to express it instead of all the other ways available. That is what storytelling is, not the surface of the output but the human pressure underneath it. And it is precisely what the current generation of AI tools has built nothing for. Trustworthy creative content is so much less about the what, the where, the when, and the how than it is the why. A. Trust is the residue of constraint The reason a great brand story works is not because it sounds and looks professional. It works because every choice inside it, the word the writer rejected, the color the designer changed, the angle the photographer waited for, the line the editor cut, was a choice someone made on purpose. They made those decisions because what they were doing was aiming to manifest something true. The output carries the weight of all those choices. Audiences feel that weight even when they cannot describe it. It registers as trust. The data on what trust actually does in a buying decision is striking. Research has consistently found that feeling secure with a brand is the single biggest influence on purchase decisions, beating both ROI calculations and feature comparisons. Forrester puts the share of B2B purchase influencers who treat brand as a key trust factor at 77%. Google and Kantar have shown that trusted brands command prices up to twice as high as their weaker competitors. Trust is not a soft outcome. It is the actual mechanism by which brands convert attention into revenue.

Tony says ‘Proximity is power.’ Let’s find out who’s in proximity... Tell us all where you’re from… without actually telling us where you’re from 🤣

Running into an interesting problem with the use and sale of AI products and I think it's worth solving. Curious how others are navigating this bias? The labor perception bias is when people trust and value things more when they see the underlying work. People dislike waiting in general, but if your users have high expectations (e.g., money transaction, migration, analysis, reporting), they become skeptical if the waiting time is too short. Example: you go to a nice restaurant and order your meal; the waiter walks back into the kitchen and returns moments later with it. Sure, it's a nice presentation, but now your skeptical of the quality. Rightfully so, you expect a great meal to take time. Whether it is the time it takes, or the labor required to make something right, this bias is deeply engrained in our thinking. With the market highly skeptical of the quality of AI outputs, regardless of if this perception is right, wrong, real, or imagined, they're looking for any excuse to write off your work as somehow worth less than human labor. I'm sure these are growing pains, but in the meantime, any good ideas for how to solve for this? The logic isn't lost on me: I worked hard for my money, so if I think you didn't work hard for the product I assign it less value regardless of its quality. Why should I trade what took me time and energy, for what took you none? The difficult part to work out here is that it does take labor and skill, a hell of a lot of it, even using AI to build and ship things at a high level of quality. So how do you change the perception of the labor involved?

Wondering if any in this community have tried both tools and have any insights to share. Which do you prefer and why? Would really appreciate any feedback and info you can share.