Why doesn't machine learning happen immediately after starting a Google App campaign?

Machine learning in Google App campaigns requires a significant amount of data to identify patterns and optimize performance effectively. When a campaign starts, the system needs to gather and process this data, including user interactions, conversions, and various signals, before it can make informed decisions and begin to optimize. This initial data collection and analysis phase takes time. The system does not start by learning from manual management; instead, it uses the campaign's setup and initial performance data. Other campaigns in the account do not need to be analyzed first for a new campaign to begin machine learning. Manual input from Google employees is not a prerequisite for the machine learning process to start; it's an automated function.