
AI-generated food ads are drawing backlash for looking fake.
Restaurants say they use them as temporary placeholders while real photos are prepared.
Experts say deceptive ads depend on whether the image misleads about the actual product.
What happened
Restaurants are using generative AI to create food ads instead of photographing real meals. Examples in New York City and San Francisco have drawn criticism online, with one X post gaining 2.8 million views and a Reddit post about a "trypophobia burrito" earning over 670 upvotes.
Why it matters
Professional-looking food ads no longer require professional photography, which helps small businesses save time and money. However, AI can depict meals that never existed, raising questions about when an ad becomes deceptive—a concern experts like Harvard Law professor Rebecca Tushnet and advertising lawyer Libby O'Neill say depends on whether the image makes specific claims about the product.
What to watch
The test is whether customers accept imperfect real photos over polished fake ones, and whether regulators or courts clarify the line for AI-generated food imagery. The 1965 Supreme Court case FTC v. Colgate-Palmolive Co. shows the issue isn't new, but AI's ability to create photorealistic fakes may push the boundary further.
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The article traces how AI-generated food ads have become a recognizable nuisance, with images that trigger trypophobia or look too perfect to be real. Yet for small businesses like Grind & Unwind on Haight Street or Chi-Town Deli in Chicago, the reason is practical: they need a menu or sign while waiting for real photos. This isn't a new problem—since the 1965 Supreme Court case, advertisers have used stand-ins like mashed potatoes for ice cream—but AI makes it possible to advertise food that never existed at all.
The legal line, as experts explain, isn't about realism but deception. If a reasonable consumer would interpret the image as making specific claims about composition or quality, it could be deceptive. A label saying "AI-generated" doesn't automatically fix that, because it doesn't correct a false impression. The stakes are high for both sides: restaurants risk backlash and legal trouble, while consumers may be misled about what they'll actually eat. The outcome hinges on how courts and regulators apply old rules to new technology, and whether the public's distaste for "food slop" pushes businesses toward more honest advertising.
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