Common pitfalls in tensor math include misunderstandings of tensor shapes, leading to errors in operations like addition and multiplication. Misalignment and broadcasting issues can create subtle bugs. Numerical stability during division is crucial, and performance can suffer with inefficient looping. Validating results ensures reliability in tensor operations.