Going forward, the development will continue to focus on better integration of hardware acceleration, like GPU support (available for Mulliken-approximated Fock exchange in SQM-Box), and parametrization tools, like automatic differentiation via dxtb. On the methodological side, the development of improved sampling approaches together with xTB methods for improved conformer sampling, reaction discovery, or chemical space exploration are targets. An outstanding challenge is to bring the xTB methods into the realm of material discovery and crystal structure prediction, by improving support and ease of handling periodic systems and investigating the need for specialized parametrizations. Integration of future xTB methods like the currently developed general purpose parametrization (g-xTB) is a high priority within the framework of the tblite library. Overall, the xTB methods will continue providing the basic building blocks for high-throughput and screening applications for molecular properties and be indispensable for a wide range of computational simulations.