Definitely. That's a fundamental observation called the bias-variance tradeoff. More flexible models are prone to overfitting, hitting each training point exactly with wild gyrations in between.
Big AI minimizes that problem by using more data. So much data that the model often only sees each data point once and overfitting is unlikely.
