Lisa, a freelance graphic designer based in Spain, noticed a shift in her work after the release of ChatGPT in 2022. She went from receiving slow one-off jobs creating logos and packaging to an onslaught(大量涌入，猛攻) of requests asking her to fix versions that were generated by artificial intelligence – from sharpening fuzzy images for printing to turning flawed designs into usable files.
丽莎是一位驻西班牙的自由平面设计师，她注意到2022年ChatGPT发布后自己工作的变化。她从接一些零星的、一次性的标志和包装设计工作，转变为面对大量请求，要求她修复人工智能生成的版本——从锐化模糊的打印图像，到将有缺陷的设计转化为可用文件。
By 2025, Lisa, who asked not to be fully named to avoid solicitations(招揽，推销), said 90% of her incoming logo and packaging design requests required cleaning up AI-generated content, work that accounted for(占（比例）) 60% to 70% of her annual income. But the grind(苦差事，枯燥乏味的工作) was exhausting. Clients lowballed(压低报价) her;' some AI-generated designs were so flawed that she had to recreate them from scratch and she worried about being complicit in AI-driven copyright infringement. By the end of the year, she began turning those jobs down(拒绝那些工作).
到2025年，丽莎（她要求不透露全名以避免招揽）表示，她接到的标志和包装设计请求中90%需要清理AI生成的内容，这些工作占她年收入的60%到70%。但这种苦差事令人精疲力竭。客户压低她的报价；有些AI生成的设计缺陷太大，她不得不从头重做，而且她担心自己会沦为AI驱动的版权侵权的同谋。到那年年底，她开始拒绝这类工作。
“It was just so soulless(没有灵魂的，缺乏生气的),” said Lisa, who now focuses on “human-made designs”.
“这简直太没有灵魂了，”丽莎说，她现在专注于“手工设计”。
The rise of the AI cleanup crews
AI清理队伍的崛起
Slop cleanup jobs may not last
垃圾清理工作可能不会持久