The notion of synthetic survey data reflects how AI systems operate as Stochastic parrots, reproducing patterns from training data rather than forming truly independent human-like responses, often leading to outputs that align with conventional viewpoints across models. In organizational research, this behavior explains why AI-generated responses may appear consistent yet fail to capture subtle, counterintuitive insights that emerge from real human participants. As a result, synthetic data is best used as a complementary tool for identifying general expectations and assumptions, rather than a replacement for authentic human survey findings.