This is simply a mismatch between how UI is generated in AI tools and how products are actually built. So instead of avoiding constraints such as branding and data, they need to be integrated into the generation process. This way, the UI becomes more valuable and can be used to continue to iterate past a demo or proof of concept (POC) phase.
Most advice stays abstract.Be clear. Add context. Explain intent. None of that helps when you're staring at an empty prompt box wondering what actually needs to go in there. What's missing in the industry right now isn't more frameworks. It's real examples. Full prompts. End-to-end inputs you can actually read and learn from. By the end of this post, you should have a clearer sense of what actually belongs in a Figma Make prompt, based on real inputs that already work.
The best case scenario is that AI is just not as valuable as those who invest in it, make it, and sell it believe. This is a classic bubble scenario. We'll all take a hit when the air is let out, and given the historic concentration of the market compared to previous bubbles, the hit will really hurt. The worst case scenario is that the people with the most money at stake in AI know it's not what they say it is.