Big question is whether it replaces and then doesn't create new opportunity to make up for those casualties. I'm not sold on this, but there's this part of me that actually believes LLM's or perhaps AI more broadly will enable vast numbers of people to do things that were formerly impossible for them to do because the cost was too great, or the thought of doing it too complex. Now those same things are not only accessible, but easy to access. I made a comment earlier today in the thread about Google's antitrust "win" where things I couldn't formerly have done without sizable and costly third-party professional help are now possible for near-zero cost and near-zero time. It really can radically empower folks. Not sure that's going to make up for all the job loss, but there is the possibility of real empowerment.

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alluro2 2 days ago | parent [-]

I'm genuinely curious about how you and other people with similar outlook see this playing out, as it would kind of provide hope.

Scenario: You are a medium level engineer, who got laid off from a company betting on AI to replace a significant portion of their junior/medium level developers. You were also employing a middle-aged woman, to help with the kids after school and around the house, until you and your wife come back from work. She now needed to be let go as well, as you can't afford her anymore. The same thing happened to a large portion of your peers and work in the same industry/profession is practically no longer available. This has ripple effects on your local market (restaurants, caffes, clothing stores etc).

How do you see this as empowering and a net positive thing for these people individually, and for the society? What do they do that replaces their previous income and empowers them to get back to the same level at least?

	▲	barchar 2 days ago \| parent \| next [-]
		Well, if everyone is unemployed there won't be much of a market for these newly AI enabled companies to sell into. Also, in the extreme, you'd have deflation such that it's worth hiring again. This would be very painful. More likely automatic stabilizers and additional stimulative spending would have to happen in order to fully utilize all the new productive capacity (or reduce it, as people start to work less). It's politically hard to sustain double digit unemployment, and ultimately the government can always spend enough or cut enough taxes to get everyone employed or get enough people to leave the labor force.
	▲	harmmonica 2 days ago \| parent \| prev [-]
		I totally share your concern, but I think there's reason for hope assuming it's not Terminator-style AGI that destroys the world (bigger problems than unemployment in that case). Specific to your scenario, it seems like companies are laying people off today in the name of AI efficiency gains (that in itself is debatable, but let's assume that is why they're doing it--they think they can do the same if not more with less). But if you play out those same efficiency gains companies that are in growth mode ought to be able to use those efficiency gains to accelerate product development. So instead of laying people off, companies will be able to build product that much faster because their employees, and engineers in particular, can move so much more quickly. We're so early, though, and c-suite folks are so myopic that the troops haven't yet had time to show them that revenue growth is the real prize of AI/LLM's (and believe me it's always the some troops that show them the way). On a larger level, I would just ask your fictitious medium-level engineer what are they able to do today, with an AI/LLM, that they were unable to do before? As a very basic example, and one that is already true with existing LLM's, a mid-level engineer who wanted to build an app might've formerly struggled with building a UI for their app. Now, sans designer, a mid-level engineer can spin up an app UI much more quickly, and without the labor of finding and actually paying a designer. That's not to say there's no value left in design, but if you're starting out it's similar to how bootstrap (dating myself here) was an enabler because you were no longer in need of a designer to build a website (was still a huge time suck and pain in the ass though). You can multiple that by a bunch of roles and tasks today because LLM's make it possible to do things you just formerly wouldn't have been able to do on your own. Last thing is the much more high level. Every time some new tech is introduced there's a lot of concern about displacement. I think, again, that's valid and perhaps moreso with AI. But it does seem to me like major new tech always seems to create a lot of opportunity. It might not be for the exact same people like your mid-level engineer (although I think it might for him/her), but I stay hopeful that the amount of opportunity created will offset the amount of suffering it will cause. And I don't say that in some kind of "suffering is ok" way, but just like revenue growth is the be all end all for so many companies, tech brings change and some suffering is a part of that. Prior skills become less important, new skills are preferred. Some folks adapt. Others thrive. Some are left behind. If you're still checking in on this thread, and you actually read my diatribe, do you think I'm totally full of it? Again, I don't know that I would bet it would work out this way. Actually I probably would bet on that. But I'm definitely hopeful it will.