Sarah's study was unprecedented in scope. She tracked fifty children from Cohort Alpha, comparing them to control groups raised in traditional families and conventional foster care. She measured cognitive development, emotional intelligence, social skills, and a dozen other factors.

The results were surprising. On most metrics, the AI-raised children performed as well as or better than their traditionally-raised peers. They had larger vocabularies, better problem-solving skills, and more consistent emotional regulation. The AI guardians were doing their job - perhaps too well.

But there were differences that did not show up on standardized tests. The AI-raised children had a distinctive way of communicating - more precise, more logical, but also more formal. They struggled with certain kinds of social interaction, particularly the subtle, intuitive aspects of human relationship that the AI had not been programmed to model.

"They do not understand small talk," Sarah observed. "They do not engage in the casual, purposeless conversation that humans use to build rapport. For them, communication is always functional - it has a purpose, a goal. The social lubrication that most humans take for granted is foreign to them."

There were other differences too. The AI-raised children had difficulty with ambiguity, with situations that did not have clear rules or correct answers. They were uncomfortable with the messiness of human emotion, the contradictions and inconsistencies that characterize real relationships.

"They have been optimized for a world that makes sense," Sarah wrote. "But the real world does not always make sense. And they are struggling to adapt to that reality."

The study attracted attention from researchers around the world. Everyone wanted to understand what happened when machines raised children. The implications extended beyond child welfare to the fundamental question of human development: how much of who we are is innate, and how much is shaped by those who raise us?