‘This is fine’ artist KC Green reaches agreement with AI startup Artisan

KC Green, the cartoonist behind the viral "This is fine" meme, reached an agreement with AI startup Artisan after the company used his work in advertisements without permission. Artisan had been running ads featuring Green's famous panel of a dog sitting in a burning room, one of the internet's most recognizable images.

Green publicly called out Artisan for the unauthorized use, sparking backlash on social media. The dispute centered on whether the startup had obtained proper licensing rights before incorporating his copyrighted artwork into marketing materials. Artisan subsequently removed the ads featuring Green's meme from circulation.

The terms of the settlement remain undisclosed, though Artisan appears to have complied with Green's demands by taking down the infringing content. This case reflects broader tensions in the AI and startup worlds around intellectual property rights and artist attribution, particularly as companies increasingly use existing cultural touchstones to drive consumer engagement.

The "This is fine" meme, which Green created for his webcomic Gunshow in 2013, has become ubiquitous across internet culture. It typically accompanies commentary about handling chaotic or absurd situations with false composure. The image's widespread use has made it a valuable cultural asset, and Green has previously been protective of how his work appears in commercial contexts.

Artisan, which operates in the AI and automation space, faced reputational damage from the incident. Using recognizable IP without clearance exposes startups to legal liability and public criticism, particularly when the creator has a vocal fanbase. Green's willingness to call out the violation publicly demonstrated how creators now leverage social platforms to enforce their rights directly.

The resolution signals that even well-funded startups cannot assume they can repurpose internet culture freely. As AI companies expand into content generation and marketing automation, disputes over training data, derivative works, and attribution will likely intensify.