The Future of AI in Attraction Development Is Not Just Generation. It Is Integration.

After working as an attraction designer, architecture manager, and master planner, I have started to look at AI differently.

At first, the obvious value was speed.

AI can accelerate iteration, visualization, research, and many repetitive parts of the development process.

But speed is not where I see its greatest potential.

In attraction development, the difficult problems often appear later.

A concept may look strong during Blue Sky development, but as the project moves forward, structural loads, architectural codes, constructability, ride/show/architecture conflicts, operational requirements, cost, and schedule begin to reshape the design.

Individually, many of these changes are completely reasonable.

But over time, something more important can happen:

the original creative intent can gradually disappear.

This is where I believe AI could become much more valuable.

Not by deciding what the experience should be.

The designer still needs to define that direction.

What is the world we want the guest to enter?

What is the core emotion we want them to feel?

Where is the unexpected reveal?

How does that emotion build toward the climax?

For me, one of the most important emotions is a sense of something magical — the feeling that the guest has crossed from ordinary reality into a world that could not exist outside the experience.

Once that intent is established, AI may be able to help us explore more possibilities around it.

Could it identify ride/show/architecture conflicts earlier?

Could it expose constructability issues before they become expensive construction-stage redesigns?

Could it compare alternatives while considering structure, code, schedule, cost, and the original experience intent at the same time?

And perhaps most importantly:

Could AI help us recognize when hundreds of individually reasonable design decisions are slowly pulling the project away from the experience we originally intended to create?

This is also where value engineering becomes more interesting.

Value engineering should not simply mean removing expensive elements.

The harder question is:

What can change without reducing the core guest emotion?

Visual elements can change.

Technical solutions can change.

Even parts of the climax may need to evolve.

But if the guest no longer feels what the experience was created to make them feel, we may have optimized the project while losing its value.

That is why I see the emerging relationship differently:

The designer provides direction.AI expands possibility.Human judgment decides what becomes experience.

The future of AI in attraction development may therefore be less about generating more ideas — and much more about helping creative, technical, operational, and commercial decisions remain integrated around a shared intent.

I am increasingly interested in this intersection between AI, constructability, creative intent, and guest emotion.

Where do you think AI could have the greatest impact in attraction development: generation, coordination, early risk detection, or decision support?