FW26 Color Stats

AI researcher Sarah Constantin has published her latest fashion color analysis using GPT-4o to process Fall/Winter 2026 runway collections from Vogue Runway. Her automated script examines every outfit image, asking the LLM to identify all colors present and tallying occurrences across thousands of looks. The results reveal a dramatic aesthetic shift: black dominates at #1, with near-synonyms 'jet black' and 'charcoal black' appearing in the top 10 for the first time, indicating a move toward specific dark shades rather than generic black.

Burgundy has overtaken red as the most common non-neutral color, with other dark tones like oxblood, wine, and slate blue rising significantly. Meanwhile, bright colors and pastels have plummeted—red, yellow, light blue, and lavender all fell in rank, while light beige, pale pink, and multiple purple shades disappeared from the top 30 entirely. This represents the most substantial color trend change Constantin has observed since beginning her analysis in 2021, moving from post-pandemic brights to neutrals and now to what she calls 'a clear-cut shift towards darkness.'

The trend appears stylistic rather than economic, as luxury markets are recovering while dark aesthetics prevail. Constantin suggests this might reflect broader cultural 'gloom' or align with fashion's current 'return to sexiness' and vampy styles. Her methodology provides quantifiable evidence of fashion's directional changes, demonstrating how AI can track cultural shifts through visual data analysis with precision previously impossible through human observation alone.