A new piece of AI-era workplace slang is gaining attention in Silicon Valley: “meat proxy.” The term refers to someone who forwards AI-generated text or code without reading, understanding or checking it first.
German software developer Niklas Gruhn is widely credited with popularizing the phrase in an Aug. 3 blog post. In it, he criticized the habit of copying AI responses into Slack or other work channels without adding any real value, saying he did not need “a meat proxy in between.”
The complaint has resonated in developer circles because it highlights a common problem in AI-driven workplaces: the cost of verifying information and making sound judgment has not disappeared, even if generating a response is nearly free. In other words, the issue is not using AI, but treating a machine’s output as a finished answer without review.
The practical fix is simple: use AI if needed, but read it, understand it and validate it before putting it into your own words. That approach, Gruhn and others argue, keeps the human in the loop where judgment still matters.
