Ab initio molecular dynamics (AIMD) provides a powerful computational technique to capture effects where approaches based on stationary points are not sufficient anymore. Different levels of electronic structure theory can be applied. In practice, KS-DFT, particularly at the GGA level, is most commonly used. However, the computational cost of running KS-DFT is prohibitive regarding the size of the system of interest, which limits the practical usability of AIMD. The xTB methods have shown, due to their more favorable computational cost, the potential to scale up to large system sizes, with the largest reported AIMD using GFN1-xTB and specialized hardware implementations reaching 80 million atoms. An example of the usage of AIMD with xTB methods is the investigation of transition state dynamics for transmetalations. Here, GFN2-xTB is used to describe the reaction mechanism in different explicit solvent environments, which crucially participate in the transition state and the post-transition state dynamics. Furthermore, von der Esch et al. 140 compared computed IR spectra extracted from AIMD with experimental values. The benchmark results indicate that the tested KS-DFT functionals perform the best, while GFN2-xTB is an attractive, time-efficient alternative to these KS-DFT methods.