AI Automates Individual Tasks but Struggles With Whole Jobs, Research Shows

Artificial intelligence systems are succeeding at narrow, defined software tasks but significantly underperforming when asked to handle the full scope of white-collar work, according to new analysis from the Financial Times. Large language models can execute individual subtasks at rates of 40-60 percent, but fail to complete end-to-end workflows more than 60 percent of the time.