1. This work was largely optional to begin with. Few people actually need to post on LinkedIn, write blogs, etc. It's arguably a mountain of content waste (which is why the term "slop" is so fitting). Not only does it waste the producer's time to produce it, but it also wastes the reader's time to try to consume it.
2. It's not a substitute for actual work. If it becomes clear that you're using LLM to do work you are paid to do, eventually the person who pays you will notice, and replace you with the LLM. If your employer values you because of the work you do, it's in your best interest to do the job yourself.
2. Yes, people get replaced at work all the time. And actually most employees who figure out who to maximize their own ROI (and thus their companies) get rewarded, not punished. If your slop code is "good enough" and you are moving the metrics the C suite cares about, your colleague taking far longer to create far less is obviously going to be punished.
If some sea change happens that replaces a whole class of workers, that is beyond the scope of the individual worker to think about. The modern economy can be viewed as one long process of automation, where most workers have been subsidizing their own eventual replacement, given the privileged position of capital over labor. This is historically obvious. It does not mean it benefits the individual to go back into some state of nature, or not reap what benefits they may gain from the prevailing system while it is still the one at hand.
Perhaps it's worth looking at this issue from the demand side instead. Who is the customer or buyer of the AI-generated work; and if there is one, how much do they value it? I contend that there are few actual buyers who are actually asking for the AI-generated output, and thus the value is low. These buyers are usually asking for some other outcome that flows downstream from the work, and AI slop is either being misperceived as the actual ask, or is a step in the middle somewhere.
Next, I wasn't talking about slop code. I was talking about slop narrative work--the work preceding the coding phase that gets teams and goals aligned, and reports results to management. In a world in which code is increasingly machine-written, the focus turns to the planning and decision stages, and that's where communication skills are most important. If you're outsourcing that work to an LLM, you're providing little added value, and that makes you replaceable. Not by a machine, but someone better than you at writing.
As for your last paragraph, I'm having trouble understanding whether you're in favor of AI-written content (not code, let's put that aside). That's the question I'm more interested in discussing than how economies evolve. I know how economic progress works ;-)
I similarly don't think your second point makes much sense. I think people going on about writing or domain experience as a skill are missing the obvious writing on the wall. If you are not an exceptional writer you will be replaced. Most people will be replaced then. Or at the very least, their diminished market power is inevitable. The end state of these models is in my view clearly aligned to less human in the loop and more automated self prompting. Most people's prompts are not that unique. If someone has a superior prompt that eventually gets integrated into the model. Eventually the model learns to ask itself the superior question, even if the spark is a profoundly lazy human invocation. The progress along code generation is then joined hand in hand by progress to full automation. Why is generating a prompt harder to solve than generating code? Why will both not advance in the next decade? Suggesting code will be increasingly machine written while saying humans will still need to be around to write instructions just strikes me as denialism of the scale of the change. If you think that in 10 years most of the back and forth is not going to be LLMs talking entirely among themselves I think you are in for a rude awakening.
As I said earlier, if a human cares a human will author. As for the rest of it, it makes almost no difference. Bad, lazy writing has always existed. Why would I take solace that a human has produced slop over a machine? The question is not "do I like it" but "do I care". The answer is no. Most things in the economy I don't care for or like. But certain things are inevitable as humans conglomerate. A well organized mind learns to get over it. Quite frankly if LLMs push LinkedIn over the edge and lead to the destruction of that platform I would be pleased. It was always a center of corporate slop and backpatting, something that in theory was optional but was more like a mandatory career chore, a step in the middle to actual work. It just is kind of amusing that your example of why AI writing is bad is because it is ruining LinkedIn, as if that place wasn't always trash. It just makes my point. In domains were humans care about human authorship, it's just not an issue in the same way. I've never heard someone care about LinkedIns viability as an ecosystem from someone who didn't work there. If LLMs are making the site unusable they are doing God's work.
While I'm hoping the AI bubble pops sooner than later, as I still hold out hope that knowledge work will continue to require knowledgeable humans at the helm, I wanted to add on that I think you make a good point.
A lot of users online can't read[1], and between a lack of pure reading comprehension, poor media literacy habits draining one's brains and ability to focus, and finally the increase in AI-enabled content, I'm not surprised at how redditor-cultured netizens love to throw up their hands and say "AI;DR!", as if that makes them somehow morally superior.
These users won't read dense texts or try to elucidate meaning out of human-written works, they ask for AI summaries or manual "TL;DR" entries as it is, now the AI is use is being used as an excuse to enable mental laziness and lack of attempts to read information.
So while I get lost in wikipedia walks because I'm looking for written entertainment for 'learning', they are getting mind-melted by algorithms, therefore, an uncharitable part of me wants to let the meat-proxying continue.
And then the other part of me that gets annoyed by having to sift through AI-slop-infested text to see what if any meat there may be in there decides that perhaps that's not as helpful of an attitude as I should take after all, because if everybody decides to meat-proxy the world away, I'll be unhappier than letting lazy functionally-illiterate-users complain aloud, even as the latter is boring reading as well.
[1] in the https://coding2learn.org/blog/2013/07/29/kids-cant-use-compu... sense
I view LLMs optimistically as the catchup phase. After all, they aren't really "reinventing" anything, rather they are a tool to synthesize the vast human corpus and catch up to the scale. Yes, at the moment they are used for all sorts of things, most of which are trivial. But when the bubble pops it will not mean knowledge work has a renaissance, rather it will be the nail in the coffin. The bubble pop will mean it will be cheap, compute/LLMs become a utility. So let the AI fill out the spreadsheet. Allow UBI to flourish, implement a severe wealth tax. End pointless wars. Slim government, which is a lot of bloat and obfuscation around what should be automated, open and transparent disbursements. End private taxes on the economy (credit cards duopoly, etc) and essentially, everyone gets to act like an enlightenment era university student. On this view, the hope would be that the present times are the wars of religion, the storm before the calm. If we are able to make it through in a hyper-networked, nuclear age.
LLMs are not going away, no matter how many Americans may want to go back to the proverbial land. Reactive movements have always existed, and always failed. I think you would simply be better served by advocating for the best case scenario, rather than aligning yourself with the AI skeptics who as you acknowledge, are also rather widely boring and intellectually lazy - that which you seek to remedy. The question of assuring UBI is not obvious. Imo there is far more rigor and interesting questions in the camp trying to create the optimistic future, than in those who resort to unexamined, parroted skepticism.