Jun 4, 2026 · 1h 16m
Economists challenge assumptions of demand collapse and wealth inequality under AGI
Alex Imas and Phil Trammell – What remains scarce after AGI?
Understanding how AGI reshapes labor and capital is essential for predicting future wealth distribution and the survival of consumer-driven economies.
- 1The transition to highly automated systems will create a messy middle phase that disrupts traditional labor and capital dynamics.
- 2As the price of capital falls, economic models must pivot to account for the enduring premium on human-centric consumption.
- 3Future scarcity will likely center on goods and services that cannot be replicated by artificial intelligence.
Don't miss
Alex Imas and Phil Trammell outline why traditional economic models fail to predict how human-centric consumption preserves its value in an automated world.
The brief
Economists Alex Imas and Phil Trammell challenge the common assumption that artificial general intelligence will inevitably trigger a permanent collapse in consumer demand and widespread poverty.
The transition to an automated economy will likely feature a messy middle, characterized by shifting balances between labor and capital shares as the cost of capital falls.
Traditional economic models must adapt to a world where human-centric consumption remains scarce, even as the cost of automated production plummets.
Ultimately, future scarcity may not stem from a lack of productive capacity, but from the premium placed on goods and services that require genuine human involvement.
What was said on this episode
33 statements · 16 positive · 9 negative · 4 mixed · 4 neutral
Human-involved goods and services may remain scarce after automation.
“because humans are naturally scarce, if we have automation, where a lot of other things stop being scarce, we will still have scarcity in things that humans are kind of involved in and in the loop for.”
Listen at 0:54
Aggregate prediction markets should replace individual economic forecasts.
“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.”
Listen at 3:00
Economists lack reliable data on consumer demand elasticities.
“we don't have data on basically consumer demand elasticities. We don't know what they are.”
Listen at 5:45
Consistent accounting may show labor share has never declined.
“if you keep the accounting const over the years, labor share hasn't even fallen ever.”
Listen at 7:54
Some goods’ network-adjusted capital share will reach 100%.
“there will be at least some goods whose network adjusted capital share goes to one because the whole supply chain can be automated”
Listen at 8:54
Rapid capital variety growth can drive labor share to zero despite relational consumption.
“If that increasing variety is fast enough and there is no such increasing variety in the human sector, then you can get all of the relational that you want, but it doesn't matter for labor share, it goes to zero.”
Listen at 12:12
Future consumption variety beyond human services may expand and keep singers economically negligible.
“that's sort of my central prediction about how future unfolds. Though it could go either way.”
Listen at 13:47
The marginal value of computation halves every 18 months.
“the pessimistic framing of Moore's law is every 18 months the value of computation halves.”
Listen at 15:12
Unique human-made art is valued more than unique AI-made art.
“the person produced art print is valued much, much higher than the AI version.”
Listen at 17:29
Large-scale job automation without rapid productivity growth is unlikely.
“it does seem like a pretty narrow window. My guess is that if we have the technology to automate so many jobs that it becomes like a new kind of political problem, then the PI will also be growing really fast.”
Listen at 21:08
Historical technological change has expanded the production frontier.
“simply in history, the technological frontier has expanded.”
Listen at 24:24
A negative income tax would immediately establish a minimum income floor.
“a negative income tax. You implement it and the day it turns into law, you already have this sort of insurance that there's a floor for which everybody gets a certain amount of money.”
Listen at 26:25
UBI dependence makes recipients vulnerable to political power changes.
“if people are just kind of dependent on a check, it really matters who's in power.”
Listen at 26:57
Current data show little economy-wide AI-driven automation or unemployment.
“you really have to squint to see anything happening. Basically if you want to take kind of an approach across the entire economy and even looking at software engineering, the most exposed sectors, there's just not really? Anything going on?”
Listen at 30:31
Firms may initiate AI layoffs to match competitors’ adoption narratives.
“a firm's like just needing to keep up with the Joneses in terms of like starting to lay people off.”
Listen at 31:51
Elastic demand after task automation can increase hiring.
“if that translates into a price effect where the product is actually cheaper, if the demand responds enough, or now there's. It's being bought more, it's being used more, the service is being used more, that could actually lead to more hiring.”
Listen at 33:03
Negative economic growth from AI requires unlikely economic conditions.
“the conditions are pretty improbable.”
Listen at 36:14
Human participation can reduce an AI-organized production process’s quality or speed.
“a human just can't perform it to the level of quality that the AI can perform the other parts of the job or the level of speed or whatever, and they end up pulling down the quality or speed of the finished product.”
Listen at 41:24
Regulatory requirements may keep humans involved in legal services.
“there's a lot of like, sort of like regulatory layers that are like also going to be keeping even if there's no relational element human in the loop”
Listen at 42:10
Efficient AI-run political systems will likely outcompete human-run alternatives.
“once an AI run political system is much more efficient than the alternatives, then those will probably tend to out compete the others.”
Listen at 42:58
Autonomous AI welfare would not necessarily include a preference for interacting with humans.
“if there's an AI that has its own welfare and it's fully autonomous and it's making its own decisions that are welfare relevant, to be honest, I have absolutely no Prior that it would at all prefer other to deal with humans.”
Listen at 44:35
Evolution could strengthen humans’ preference for interacting with other humans.
“you might get selection to point into like an even stronger preference for other humans.”
Listen at 46:36
People who do not satiate on capital will save more and accumulate most wealth.
“the person who doesn't satiate in capital is going to, if they're being rational, they're going to have a higher savings rate. So in the long run they're going to have most of the wealth.”
Listen at 48:32
Capital satiation lowers returns and increases wealthy people’s consumption.
“if we get into a situation where people are satiated with capital, then the returns to accumulating capital are going to be lower and so then these rich people are going to be consuming more.”
Listen at 50:09
Investment-specific technical change can make capital cheaper relative to consumption goods.
“the price of capital is like falling relative to the price of consumption.”
Listen at 53:22
AI could either equalize developing countries or leave resource-poor countries behind.
“There are scenarios where you get AI technology being allocated and dissipating to Nigeria in developing countries and things like that and that leveling the playing field, essentially giving them a level up as far as capabilities. But there's another world where because they don't have enough resources, they're not making, they're not training the models, they don't have the hardware where they just completely get left behind.”
Listen at 1:02:09
Developing countries should begin positioning themselves for AI-related gains now.
“I think it's important for them to get on it now.”
Listen at 1:04:02
If AGI becomes broadly accessible like electricity, Nigeria should buy a diversified index.
“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 just buy the index. So like, you know, Nigeria just needs to buy the index.”
Listen at 1:09:44
Countries should prioritize indexing AI gains while also pursuing retraining.
“I would prioritize trying to index, but just given how fast AI could, you know, hit the world. But I definitely wouldn't just rely on that”
Listen at 1:10:10
Transformative AI could let developing countries leapfrog intermediate development stages.
“with a transformative technology like AI, you could get leapfrogging where you skip the step in the middle and you can get really astronomical growth.”
Listen at 1:11:26
Private firms comprise under 20% of U.S. non-small-company market capitalization.
“it's still like, you know, well under 20% of the total market cap of non tiny companies in the US is private.”
Listen at 1:11:57
Long-run trends will continue making broad economic indexing easier.
“the kind of long, kind of general trend of just lowering those frictions and making it easier for more and more people to index more and more will continue despite the recent bump in the other direction.”
Listen at 1:12:43
Frontier AI can retain a safety-related lead while ownership remains broadly distributed.
“you could just have a relatively big gap, but it's a public company ownership and it's widely distributed.”
Listen at 1:15:06
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