3) The most inaccessible Nike store concept
Text-to-image generation has recently sparked a cultural phenomenon, driven by AI tools like OpenAI’s Dall-E 2, Midjourney, and Stability AI’s Stable Diffusion. These platforms, trained on vast human-created image datasets, can swiftly generate an array of unique images based on simple text prompts. The combination of human input and machine learning yields astonishing results that continue to captivate users.
According to Wired, the collective usage of AI services such as Midjourney, Stable Diffusion, Artbreeder, and Dall-E results in over 20 million co-created images daily. Brands have also tapped into this boundless creative potential, with Martini utilizing Midjourney to revamp promotional visuals and create new artworks. Similarly, Paris-based ad agency Brainsonic has integrated Dall-E across its operations. Moreover, the generative revolution extends beyond images. Movio, a startup, employs generative AI to produce videos featuring conversational human avatars, which serve as customer support tools for various companies.
Benjamin Benichou of social commerce platform Drop, has leveraged AI to create exciting ‘impossible’ store concepts using the brand Nike as an experiment. The AI generated concepts which have caught the attention of many online show the brand popping up in all manner of imagined locations. From a store atop the summit of Mt. Everest to the surface of the moon and mars. The near photorealism of the concepts is striking and set the imagination going for what other brands could look like situated in environments we’ve never seen them in before. Unencumbered by what’s physically possible AI create new thought pathways and avenues to explore and push concepts further in the ideation stage.
(Image Credit: Benjamin Benichou, Drop)