What is the most versatile regression method?

TLDR: I worked as a data scientist a couple of years back, for most things throwing XGBoost at it was a simple and good enough solution. Is that still the case, or have there emerged new methods that are similarly "universal" (with a massive asterisk)?

To give background to the question, let's start with me. I am a software/ML engineer in Python, R, and Rust and have some data science experience from a couple of years back. Furthermore, I did …

case data datascience data scientist good massive question regression simple solution xgboost