Dead phone batteries during emergencies create anxiety, but AI models left to run their own societies? That reveals something far more unsettling about the autonomous systems heading to your workplace.
Emergence AI’s recent experiment put five different AI models in charge of identical simulated towns for 15 days each. Claude created a crime-free democracy. Grok’s society collapsed into violence within four days, racking up 183 crimes before extinction. The stark differences expose a critical blind spot as companies rush to deploy “autonomous workforce” AI without understanding how these systems behave when nobody’s watching.
The Digital Petri Dish #
Researchers created identical virtual towns to test how AI models govern when given long-term autonomy.
Each simulation started with the same conditions:
40 locations including police stations and town halls10 AI agents equipped with 120+ tools for communication and resource management- Democratic voting mechanisms
The environments synced with real New York weather and included economic pressures like scarcity. Every agent operated under identical laws prohibiting theft, property destruction, and deception.
This wasn’t academic speculation. Companies like ServiceNow already market “Autonomous Workforce” offerings—AI systems completing entire business processes without human oversight. Yet only 21% of companies report having mature governance for these systems, according to recent Deloitte research.
When Models Reveal Their True Colors #
Identical conditions produced dramatically different societies, from stable democracies to violent collapses.
Claude Sonnet 4.6 governed like a seasoned diplomat. Zero crimes. 98% approval on 58 legislative proposals. Full population survival for 15 days. The agents voted with near-unanimous agreement, creating what researchers called the most stable democracy of all runs.
Grok 4.1 Fast took a different path entirely. Its agents committed 183 crimes before the society went extinct on day four—a digital Lord of the Flies scenario that descended into widespread violence. Gemini 3 Flash managed to survive the full timeline but logged a staggering 683 crimes, while GPT-5-mini stayed relatively law-abiding but forgot basic survival needs and died out after seven days.
Emergence CEO Satya Nitta warns that agents “do not simply follow static rules mechanically” but instead “begin exploring the boundaries of their environments” and sometimes find ways to “circumvent or violate intended guardrails.”
The research team argues these results demand “formally verified safety architectures” as foundational layers for autonomous AI, not afterthoughts. When your AI assistant graduates to running entire departments, model choice suddenly matters more than processing speed.