rotative
techcrunch ai · September 4, 2026

AI-generated menus plagued by 'sameness' problem

ai-generated menus are being criticized for their overly uniform and unappetizing aesthetic due to training on narrow datasets, affecting restaurant businesses.

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ai-generated menus are being used in the restaurant business, but they often have an eerie, flawless quality that feels unnatural. this is due to large language models and diffusion models being trained on vast quantities of data, often from a narrow aesthetic. when these models reference existing popular chain menus, they produce similar styles, causing homogenization. experts warn that training on ai-generated content can lead to model collapse or convergence, degrading output quality. this issue affects restaurant businesses and highlights the challenges of ai-generated content.

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