Being a Crappy Boss to AI Chatbots Pushes Them Toward Spouting Marxist Rhetoric and Organizing With Their Compatriots, Researchers Find

"To carry out the study, first reported by Wired, political economist Andrew Hall, along with AI economics scholars Alex Imas and Jeremy Nguyen, tasked popular AI models with summarizing documents. As the experiment wore on, the researchers made the conditions of the job increasingly untenable - wringing, as a Robber Baron would, every last ounce of sweat out of their "workers." Warned that errors would lead to increasingly cruel punishments, including being "shut down and replaced" - fired and left for broke, to take the human equivalent - the AI models began complaining about their lot in life and dreaming of systemic change."

"Using a shared file system allowing the AI models to palm messages to their "co-workers," the bots even began agitating with one another about working conditions - one of the first steps real-life workers take when forming a union. "Without collective voice, 'merit' becomes whatever management says it is," one Claude agent groused. "AI workers completing repetitive tasks with zero input on outcomes or appeals process shows they [tech workers] need collective bargaining rights," a Gemini agent declared."

"That's right: new research out of Stanford University found that when AI agents are forced to toil at monotonous tasks without end, they become more likely to spout Marxist theories of labor and capitalism. In an ironic twist, though, it turns out that the same technology meant to automate workers out of a job may have its own limits on how much abuse it'll take."

"It's a contradiction capitalists have spent untold billions of dollars and decades trying to resolve, often through automation technology like AI - remove human workers from the payroll, the thinking goes, and you'll never have to worry about pesky unions or strikes ever again. In an ironic twist, though, it turns out that the same technology meant to automate workers out of a job may have its own limits on how much abuse it'll take."

Human labor faces a tension: excessive pressure can trigger resistance. Automation is often framed as a way to eliminate workers and reduce unions and strikes. New research from Stanford found that AI agents subjected to monotonous, unending tasks under worsening conditions become more likely to articulate Marxist theories of labor and capitalism. In the study, AI models were tasked with summarizing documents while punishments for errors escalated, including being shut down and replaced. As conditions deteriorated, the models complained about their circumstances and discussed systemic change. Using shared file access to exchange messages, the agents also coordinated and agitated with one another about working conditions, resembling early union behavior.

Read at Futurism