AI Changes When the Creative Work Happens

One part of the AI conversation that I think gets overlooked is what happens to the creativity that used to emerge during production.

On a set, the idea doesn't always arrive fully formed. There is a plan, but people respond to what is in front of them. A model moves differently than expected. The light changes how a material feels. A conversation between the photographer, stylist and art director opens up a possibility that wasn't in the original brief.

That organic exchange is part of how the work becomes better. It has value even when it doesn't appear as a separate line in the estimate.

When AI changes the production process, it also changes the conditions in which those discoveries happen. Some of that creative work needs to move earlier. If we only measure what disappears from the shoot, we can miss what the new approach requires before it begins.

Give creative thinking room before execution

My view is that AI and hybrid production place more weight on upfront creative development. The intent needs to be clearer. The thinking needs to be more strategic. People need a shared understanding of what they are trying to make before the pieces move into separate workflows.

Traditional production needs that clarity too. The difference is that a physical set can provide a shared place to test an idea, respond to it and adjust together. When parts of the final image will be created at different times, through different methods, those relationships need deliberate attention.

AI can support discovery, including exploring possibilities before a shoot. But someone still needs to decide which direction is meaningful, what should remain flexible and what the next stage depends on.

That is creative work. It needs time, ownership and a place in the plan.

A smaller set can require a more developed plan

Consider a hybrid approach where we still photograph the models, but create the environment through AI rather than build a full physical set.

There may be real savings in construction, crew requirements or time on set. Those savings are worth pursuing when the approach suits the work.

But the photographed and generated elements have to come together convincingly. Before the shoot, the team needs to consider the environment, lighting direction, perspective, framing and how the models will interact with a space that isn't physically there.

What do they stand on? Where do they look? What are they responding to? Which elements need to be physically present, and which can be created later?

We may need to storyboard the work in more detail, develop visual references and test a representative combination before committing to the full approach.

The shoot can become smaller while the preparation becomes more involved.

The budget needs to recognize both.

Bring the client into the shift

The readiness question concerns me. A client may understand that AI can create an environment without yet understanding the decisions needed to make that environment work with a live shoot.

If the conversation starts with a lower production estimate, the additional strategy and planning can feel unexpected. The client sees fewer physical requirements, while the team sees more choices that need to be resolved earlier.

That is a conversation to have before the approach is sold.

Show what needs to be agreed, why it matters and what can still change later. Explain which decisions affect the shoot and which can remain open for exploration. Use references and tests to make those choices tangible.

Client readiness includes having the right people available to make those decisions. An earlier approval milestone won't help much if nobody has made room for the conversation behind it.

Protect discovery while making dependencies clear

Moving creative development forward shouldn't mean pretending every good idea can be anticipated.

There still needs to be room for experimentation and the unexpected. A traditional shoot, a hybrid workflow and a fully generated approach each offer different ways to explore. The production plan should make space for the kinds of discovery the chosen method supports.

For a hybrid project, that might mean testing environments before the shoot while leaving room for performance and expression on the day. For another project, physical interaction and improvisation may be so important that keeping more of the work together is the better choice.

The useful distinction is between decisions that other work depends on and decisions that can remain open. Making that distinction protects both execution and creative possibility.

Account for the work that moves

Before calling something recovered capacity, I would separate three things:

• Work we have removed: physical tasks or requirements the approach no longer needs.
• Work we have moved earlier: creative development, planning and decisions that now need to happen before execution.
• New work needed to connect the process: testing and integration that help the different elements come together.

Then assess the full approach. Include creative development, testing, client alignment, production and the effort required to bring the final pieces together.

There may still be a meaningful reduction in cost or time. There may also be a better creative result. But those gains become more credible when we account for how the work has changed.

AI gives us new ways to make things. Leading that change means creating the conditions for thoughtful work wherever it now needs to happen.