Business Insights: Global Markets, Strategy & Economic Trends
Key takeaways
- Gen AI compresses ideation cycles, reducing experimentation, critique, and iterative refinement in established creative processes.
- Clients prefer rapid, polished AI outputs, shifting decisions toward speed and aesthetics over feasibility and craft.
- Production teams face mismatches between AI-generated concepts and real-world execution, raising costs and workflow friction.
- Reliance on AI risks deskilling creatives, eroding collaboration, ownership, and long-term innovation capacity.
Imagine a photographer reviewing a concept image for an advertising campaign that the client has already approved. He notices a problem: The man in the image is wearing a baseball cap that casts his face in shadow, but his eyes are clearly lit, showing his intense stare into the camera. The photographer’s trained eye tells him immediately that that lighting is impossible. No real-world set up could produce it. The image had been created by a senior creative using gen AI, and the client had loved it. Now the production team has been tasked with recreating—with cameras and human actors—something that reality can’t match.
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