https://people.duke.edu/~charvey/Teaching/BA453_2004/Street_...
Still waiting for anyone with this viewpoint to offer a single educated guess at what any of these created jobs might look like even in very broad terms.
All I ever see is basically a religious belief that surely something will arise.
I get that previous automation waves have lead to new jobs in the past, but automating knowledge and intelligence is just fundamentally a different thing than anything we have automated in the past and what exactly stops AI from taking those new jobs too as soon as the need for them is recognized?
Welcome to economics! Bullshit and conjecture all the way down.
I’m not sure if this really is different or not. I also think there’s an enormous amount of white collar work that isn’t actually “intelligent” work. Especially in software development.
The question I’ve been pondering isn’t about “where’s the intelligent work?” It’s, “what do we do when we’ve successfully vanquished work itself?” Will we move towards utopia? Or will the power disparity only grow and broken capitalism be used against us?
Meanwhile Meta has so much AI compute that they don't know what to do with, and they are ready to lease it out. And corporations suddenly want token austerity across the board. OpenAI is delaying their IPO until "next year."
Something is starting to give.
Also Microsoft has been pouring money into AI and it's like not working at all. They might be in trouble.
Hey people: not to worry, new jobs will come!
1 + 1 = 3 because growth!
1. As a somewhat self-denying but admittedly obvious "tech bro", I can't help but cringe at some of the tech bro podcasts claiming that AI is not going to mass replace jobs. After a previous round of layoffs at my company due to financial constraints. We've managed to not just replace the bulk of our developers withy Claude, but seriously outperform them and build some serious, real-world applications in very short order. These were applications that touch highly sensitive databases across multiple departments in our company. I cannot see where all these engineering jobs are going to go if our small company was able to replace our engineering team with one 4X smaller and get better output.
2. These same podcasters claim that "this is why people should be in trades and doing skilled labor, such as electricians and plumbers." We have to be fools to think that AI + robotics is not going to replace all this very shortly. For the longest time I said it would be about ten years, now, but seeing how my unbogglingly fast Claude got so good (i.e., just compared to last year), I find it hard to imagine that this would be less than three years out. I personally think that these "tech-elite" podcasters are trying to brand a message so that people won't be afraid of AI, but that none of them believe this message themselves.
3. For a tech-first forum/news site, I'm shocked by how anti-AI the sentiment seems to be here. I too am concerned for jobs, but that doesn't change how bullish and excited I am about what I am currently able to build and will be able to build going forward using AI. You may call that selfish, and I won't disagree, but I think it's also intrinsically tech-first, to have this viewpoint. I have no issue with somebody not being tech-first but complaining on Hacker News about a tech-first reality. It sounds disingenuous to me.
That is begging the question pretty hard.
Please point me to what I asked for, an example of what this magical new job actually looks like. What does a person with that job do on a day to day basis, in very broad terms. I didn't spot anything like this in the paper.
> And they even close the section by acknowledging that “this time it’s different” might actually be true with AI, and that we simply don’t have enough data to say for sure!
The paper is basically a round-up of three different viewpoints. One of them (Acemoglu) I'm much more in agreement with than the others, and its his contributions you are referencing above.
The quote I pulled came from Briggs. He's the one I want more information from on what these jobs will look like and in what ways these new jobs are safe from AI displacement when the lost jobs they replace are not.
The burden of proof seems like it's actually on you to show why this current tech boom is any different from previous ones.
As to the answer to your question, well just look at what people are doing at their jobs today. Those are what replaced jobs from 2 years ago.
In past tech advances, there was always a long list of things that could not be automated by a machine.
For some visions of "AI", almost by definition there is nothing left in that list.
(Except some things, of course, where people want to interact with a human).
The new businesses created, might look very much like the old businesses that disappeared. But they're not focused on scale and profits. They're focused on an ideal of pushing the boundaries. Maybe a single craftsman making small one off hand made pieces. Maybe a pizzeria that puts out a small quantity of the best pizza. Little individual pursuits towards perfection. Enabled because economics is not important. If physical AI and super intelligence can do "everything" (work with me here) you're free to do small scale things you love. You're also free to raise children at home, work on mega projects, explore the world.
The alternative is a small subset of an elite inherit the world's wealth, create a prison society of surveillance robots that keep the permanent underclass at bay with video games, tiktoks, and pills.
2. Agentic tourism - maybe you’ll be able to send your AI agent/robot to visit a place before you decide if it worth your time and investment
3. Vehicular trains on highways where vehicles going to similar destinations coordinate and move as a unit. There’ll be people optimising roads for this. E.g., exit lanes on highways are designed for a handful of cars to exit safely at a time. What if vehicular trains can be thousands of vehicles long like those going to Burning Man?
4. Hallucination historians - people whose job is to document how AI errors have led to changes in the course of history
5. Animal linguistics - people whose can finally study the correlations between how human and animal languages deliver the same information
6. People designing puzzles and challenges to keep AI engaged during routine maintenance
7. S3x workers who specialise in servicing AI bots
8. Cryptographers whose job if to encode content using non mathematical methods because math base cryptography has become a solved problem
9. Interior designers who specialise in humanised decor because everything else is now handled by AI
10. Lawyers who fight cases on AI’s right to participate in the world as equals of biologics
aanet•1h ago
A GS report - including discussions with MIT labor economists DAren Acemoglu (Nobel), Neil Thompson
Quarrel•23m ago
sublinear•13m ago
After all, you're not a "software engineer" anymore, but an "intelligence engineer"! You can do more with less! Meanwhile, the work is identical and hours are tracked more vigilantly.