Using climate models for location-specific decision making has to be approached with great care and expertise. One illustration of this: analysis found that downscaled models became *less* accurate on precipitation; which is one of the things you really, really want to know about. https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022GL100717
The reasons for this are difficult to understand without lengthy conversations with the right kind of climate scientists, but I'll try: the weather systems that matter for eg investment decisions tend to be spatially small. Climate models are robust around some things (eg temperatures, esp across large areas and averaged out, and some temperature extremes) but these trends interact with those smaller systems in complex ways.