Why This Isn’t Just AI
As AI-generated imagery becomes more accessible, it’s tempting to assume rendering will become faster, easier, or automated. But in experiential design, speed alone isn’t the goal. Sure, AI can generate compelling images, no question. But what it struggles to generate is accountability.
Currently, it’s clear that AI doesn’t fully understand dimensions — specifically because it struggles to conceptualize three-dimensional space. As a result, it doesn’t consistently obey the laws of physics, nor does it account for practical business factors like budget, labor, or build time. Vanity is one thing, but feasibility and project efficiency — from creative conception through execution — are what ultimately matter.
In experiential work, showing a client something that can’t be built is worse than not showing it at all. The work depends on trust — on the confidence that what’s being presented can move from concept to reality without compromise.
Rendering, as Cramer approaches it, isn’t about generating visuals — that’s just a perk — it’s about taking responsibility for what’s being shown. Every element in the scene has downstream implications. If a client falls in love with something, the team needs to be confident it can be delivered.
That’s why AI, today, is better suited as a support tool than a replacement — helping with texture cleanup or image refinement, but not with the core spatial thinking that experiential design requires.