This bifurcation has been apparent in my own research. For over two years, I’ve been doing qualitative research on Uber and Lyft drivers, first examining how Uber uses automated mechanisms to manage drivers with my coauthor Luke Stark. And, more recently, I’ve interviewed 85 Uber and Lyft drivers across the U.S. and Canada to see how their work varies across regions. I’ve also found that the “ridehail” workforce spans many different types of drivers—from full-time earners to part-time workers and “hobbyists”—who drive for many different reasons. And I’ve seen that not everyone benefits from this work equally.