CASE STUDY: GENERATIVE AI FOR NORDISK

Nordisk is a brand defined by Scandinavian design, premium quality, and a strong connection to nature. Its communication relies on calm, minimal, and highly curated visuals, which creates a challenge when scaling content across multiple touchpoints. This raised a key question:

I started to reframe content creation as a system of visual storytelling, rather than a set of individual assets. Instead of focusing on volume, the goal was to explore how composition, lighting, and environmental context could consistently convey a sense of warmth, stillness, and connection to nature, core to the brand’s identity.  

Generative AI supported this exploration by enabling rapid creation of atmospheric scenes and variations, helping test different moods, settings, and visual narratives. It expanded the range of possibilities, but also exposed its limitations; many outputs felt overly artificial, overly polished, or emotionally flat, lacking the subtlety that defines the brand. This reflects a broader shift in marketing, where AI enables scale but requires human curation and direction to maintain quality and meaning.  

Rather than relying on full automation, I focused on defining clear visual and conceptual boundaries that could guide the use of AI. This meant treating AI as part of a curated creative process, where selection, refinement, and intent were more important than generation itself. The challenge became balancing efficiency with authenticity, ensuring that increased output would not dilute the brand’s identity. I used Adobe Firefly (Nano Banana) and Runway for the images.

The result is an approach that enables scalable yet intentional visual storytelling, where each image still feels aligned with Nordisk’s core values. More broadly, this project highlights that while generative tools can expand creative exploration, the real value lies in defining what should be created — and what should be filtered out.