To elaborate, yes, workers across the economy in white-collar roles or blue-collar roles face a threat of automation from technology, although usually the technologies are really quite different. The go-to example for blue-collar workers might be thinking about robotics in manufacturing, while until recently the example for white-collar workers was to think about things like computer programming and machine learning.
It seems that blue-collar workers are at greater risk of being completely substituted by things like robotics—imagine a conveyer belt with a robot arm completely replacing somebody who would otherwise have to move things around—while white-collar workers are made more productive, because machine learning makes it easier to analyze data and to focus more on interpreting results rather than actually crunching numbers.
Generative AI is different because it seems that it's doing actually the more cognitive part of that white-collar work. It's actually able to interpret results in addition to things that standard AI machine learning can already do—like crunch numbers. This makes it fundamentally different and fundamentally within the domain of work that usually describes a white-collar job rather than a blue-collar job.