From one piece The better AI gets, the smaller its share of the economy might get – Alex Imas and Phil Trammell 11 beliefs, in the piece's order there
-
Their words
So, I think there is a world where it is concentrated, in which case it's going to be really hard to index AGI. There is another world where it is not It's electricity, then like basically every company has access to AGI. So, you just buy you use buy the index. So, like, you know, Nigeria just needs to buy the index.
-
Their words
because a lot with electricity, a lot of the downstream benefits actually came to like the users of the electricity rather than the rather than the actual entity producing the electricity. On the other hand, with social media, it was the opposite case, right? Social media, you know, it was everywhere. Everybody uses social media, but the rents went to the platform.
-
Their words
I think the biggest lack of resources that we have allocated in the economic profession is thinking about middle-income developing countries in the in the age of AI.
+ 8 more
-
Their words
So, what you need is that basically demand to be bounded, like a hard bound, not even like a soft sort of like diminishing sensitivity. You need for them to eventually say, "I've had enough. I don't want to spend any more money." And for that money to not enter as investment.
-
korrents.com
Some firms are laying people off mainly so as not to look behind on AI, in a cascade of keeping up with the Joneses.Their words
let's say we get into a narrative where like if you're a firm and you're not laying people off, then you're seen as like not adapting AI enough. So like then you'll get you're going to just get a cascade effect of firms like just needing to keep up with the Joneses in terms of like starting to lay people off.
-
Their words
They just recently released a report, and I think like you really have to squint to see anything happening. Like basically, if you want to take kind of like uh an an approach across the entire economy and looking at even looking at like software engineering, like the most exposed sort of sectors, there's just like not really anything going on. There might be a little bit of a signal about like junior developers getting jobs less than before, and that but that's like a less than before rather than a level shift.
-
Their words
Like right now we're endowed with labor that can turn into uh that can turn into income. When that is no longer the case and we are now at the mercy of the of the elected official for like basic needs, right? So that to me feels like a power sharing arrangement that's really dangerous.
-
Their words
I think in some ways like one of the worst scenarios is a drip scenario because of the political economy piece. Right? Because like you know, people essentially what you what you might see is like people not really being unemployed in mass, but kind of like moving into sectors that pay them less money, kind of basically getting uh what happened with phone operators in in in the mid-century of the of the between 1920 and 1940, phone operators were completely automated, right? But it took 20 years even though the technology existed.
-
Their words
So with one, you get the effect that the person produced art print is valued much much higher than the than the AI version. And then what we do is to say there's in a set of other conditions, there's 500 of these being produced. So for the human made one, the price goes down a lot because it's no longer seen as like you're not like making a connection with this one artist versus with AI, there's no difference. AI is already viewed as like a commodity.
-
Their words
we don't have any data. I've been kind of saying we need a Manhattan Project for data. We don't have data on basically consumer demand elasticities. We don't know what they are.
-
Their words
rather than thinking about individual forecasts like what me and Phil are going to do, rather looking at kind of like basically generating prediction markets, where you get aggregate forecasts, where you get like kind of wisdom of the crowd effects. And kind of the reason that I think this is because we have been famously terrible at forecasting.