This may seem all well and good, but let's consider some basic logical mileposts and outcomes:
There will continue to be a glut of available software engineers and techies. Some will, maybe, transition to an AI field; some will get disgusted; some just won't be able to get work.
Jobs of some sort in tech might possibly be available, but wages for the majority of them will go further and further down until they become roughly equivalent to the average minimum wage, if they are not outsourced entirely. Many people will attempt to transition to a non-tech field if the number of available jobs and the wages are not commensurate (especially considering the cost of education). The most desirable of those jobs will also have an upper limit of positions available, and that is of course not paying attention to how many of those will be offloaded onto automation and/or AI. Little things wind up mattering (like the lowering crime rate in California towns suddenly putting auto and window glass repairers out of business) and people who leave tech for other jobs will be fighting for the same dwindling work, with people who are often less difficult to find or work with. Rent won't really go down, and the price of other things will likely continue to rise or stagnate (like many tech salaries; a small percentage of salaries went way up, and the majority went down or are stagnant also). Not saying AI will push everyone out of every field, but it feels like people are thinking in too little of a macro sense.
As AI 'knowledge' is populated by more and more countries with different languages and priorities, English- and some other language speakers will be squeezed out. Probably moreso if and when brain-machine interfaces become de rigeur. Countries with populations of a billion and large families will simply cancel out some people in places like America because social networks will merely favour different people. If my name sounds like yours ethnically, I am possibly far more likely to favour you in a queue. Especially if I am from the same country. This works against people all the time now in the opposite direction. Yes, AI models do use data like this, just as people do.
It is not just tech, of course, and that is the kicker. Tech writing, sure, but also movie and fiction writing, fields dealing large data models, accounting and pharmaceutical research will be largely automated and researched with AI models. Will we need forensic accounting once a model exists?
To the commenters who wrote about how, yes, sure, there will need to be people overseeing things, how do you propose to police that when the lower level AIs skills are so far beyond even the current most senior intermediate or advanced/senior people, and they ramp up so fast, but lack any error correcting? Maybe the AI won't want you involved. Maybe you cannot tell if it chose a good solution or not.
Many... well, no, most good (not even talking godly) tech people only get good by experience, hard work, repetition and the ability to see patterns in their debugging, crashes, program execution, the way their data farms 'feel' (how else do I put this? if you know it feels not right, and sure enough something breaks), and lord knows, even human-computer interaction.
At some point, looking for work is something AIs will discourage us from doing, if they don't already, just for feeling like maybe we won't choose the same solution (would we know?).
Not paranoia. Mere logic. We are attempting to create models but we lack the solutions ourselves. Are we not, like, pricing ourselves out of our own careers (and planet?)?
It is more than hubris.