I've looked at the Wikipedia profiles of a lot of highly successful academics and researchers in my field (Computer Science/Artificial Intelligence) and it seems like nearly all of them jumped into their PhD studies straight out of undergrad.
Assuming there are a significant number of people that work for a few years before doing their PhD, this gives me the impression that folks who work in industry for a few years before doing a PhD tend to be less successful. For the academics, researchers and PhD students out there, is this an accurate assessment based on your own observations?
I've obtained a job at a FAANG tech firm as a software engineer and plan to work there for two years before heading off to do my PhD in Machine Learning. What are the pros and cons of my decision?
N.B. I've attended a top-10 school (Times and QS rankings) for undergrad and have been very fortunate to meet and interact with some truly world-class researchers in my field. While I have not yet produced top-top research papers, I think I should be able to get some decent references from the professors and scientists I've interacted with at my university and at the start-up I'm interning at.