Some AI advocates are selling a vision in which dozens of agents work together to solve complex problems with little to no human intervention. So far, that scenario is a myth. AI agents can be effective when working one-by-one on separate tasks, but when grouped together to complete complex assignments, they fail most of the time, according to a new research study. Advocates envision a multi-agent future that will lead to huge efficiency gains and major cost savings, thanks to autonomous agentic AI taking over many of the complex tasks human employees currently perform.

Full feature : Individual AI agents can be super reliable, but when grouped together they only appear to work well in concert, producing high failure rates.