The use of AI for mesh generation in CFD is viewed as a promising yet cautiously adopted innovation. When successful, it offers substantial time savings by automating complex geometry replication. However, concerns persist regarding mesh fidelity, numerical stability, and generalizability across diverse flow regimes. The opacity of AI models also raises issues in verification and validation, making domain experts wary of fully autonomous adoption despite its efficiency gains.