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  3. /The Economic Impacts of AI: A Multidisciplinary, Multibook Review [pdf]
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  3. /The Economic Impacts of AI: A Multidisciplinary, Multibook Review [pdf]
Sep 19, 2025 at 3:44 PM EDT

The Economic Impacts of AI: A Multidisciplinary, Multibook Review [pdf]

cjbarber
70 points
23 comments

Mood

calm

Sentiment

mixed

Category

other

Key topics

AI

Economics

Future Of Work

Debate intensity60/100

The post shares a PDF review of multiple books on the economic impacts of AI, sparking discussion on the timeliness and relevance of the topic, as well as the potential consequences of AI on energy demand and the economy.

Snapshot generated from the HN discussion

Discussion Activity

Very active discussion

First comment

3m

Peak period

21

Day 1

Avg / period

11.5

Comment distribution23 data points
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Based on 23 loaded comments

Key moments

  1. 01Story posted

    Sep 19, 2025 at 3:44 PM EDT

    2 months ago

    Step 01
  2. 02First comment

    Sep 19, 2025 at 3:47 PM EDT

    3m after posting

    Step 02
  3. 03Peak activity

    21 comments in Day 1

    Hottest window of the conversation

    Step 03
  4. 04Latest activity

    Sep 21, 2025 at 9:13 AM EDT

    2 months ago

    Step 04

Generating AI Summary...

Analyzing up to 500 comments to identify key contributors and discussion patterns

Discussion (23 comments)
Showing 23 comments
leakycap
2 months ago
1 reply
Posted yesterday: https://news.ycombinator.com/item?id=45284985

Zero comments there, too. Likely because direct-linking a PDF to a "book" on the multi-multi impacts of something that has barely started and we don't understand... seems less than useful.

cjbarber
2 months ago
Thanks for the note, yes, I suppose this is a format that's a bit hard to engage with. I'm not the author, but I've interacted with them and think they're very sharp!
cjbarber
2 months ago
2 replies
This is written by Kevin Bryan from University of Toronto. He has good tweets on the economics of AI, too (https://x.com/Afinetheorem).

My recap of the PDF is something like:

1. There are good books about the near-term economics as AI.

2. There aren't many good books about "what if the AI researchers are right" (e.g. rapid scientific acceleration) and the economic and political impacts of those cases.

3. The Second Machine Age: Digital progress boosts the bounty and widens the spread, more relative inequality. Wrong on speed (e.g. self driving tech vs regulatory change).

4. Prediction Machines: AI = cheaper prediction. Which raises the value of human judgement, because that's a complement.

5. Power and Prediction: Value comes when the whole system is improved not just from smaller fixes. Electrification's benefits arrived when factories reorganized, not just when they added electricity to existing layouts. Diffusion is slow because things need to be rebuilt.

6. The Data Economy: Data is a nonrivalrous asset. As models get stronger and cheaper, unique private data grows in relative value.

7. The Skill Code: Apprenticeship pathways may disappear. E.g. survival robots prevent juniors getting practice reps.

8. Co-Intelligence: Diffusion is slowed by the jagged frontier (AI is spiky). Superhuman at one thing, subhuman at another.

9. Situational Awareness: By ~2027, $1T/yr AI capex spend, big power demand, and hundreds of millions of AI researchers getting a decade of algo progress in less than a year. (Author doesn't say he agrees, but says economists should analyze what happens if it does)

10. Questions: What if the AGI-pilled AI researchers are right, what will the economic and policy implications be?

tuatoru
2 months ago
1 reply
This all sounds like it has been covered in detail by the "AI as a Normal Technology"[1][2] guys (formerly AI Snake Oil - they decided they preferred to engage rather than just be snarky).

Invention vs innovation vs diffusion - this is all well-known stuff.

It's a completely different episteme than the one IABIED guys have ("If Anyone Builds It, Everyone Dies").

I don't think there can be any meaningful dialogue between the two camps.

1. Substack: https://www.normaltech.ai/ book: https://www.normaltech.ai/p/starting-reading-the-ai-snake-oi...

2. "Normal technology" like fire, metals, agriculture, writing, and electricity are normal technologies.

dwohnitmok
2 months ago
2 replies
It feels kind of crazy to go from "AI is 'only' something like snake oil" to "AI is 'only' something like fire, metallurgy, agriculture, writing, or electricity" without some kind of mea culpa of what was wrong about their previous view. That's a huge leap to more or less imply "well AI is just going to be comparable to invention of fire. No biggie. Completely compatible with AI as snake oil."
tuatoru
2 months ago
1 reply
The AI hype was 1000% GDP growth per annum. That was crazy. The "snake oil" label was in reaction to that.

Anyway, you are shooting the messenger by downvoting me. Thanks for showing us all how intelligent you are.

dwohnitmok
2 months ago
Eh. Downvote wasn't me.

But I'd be curious if you could find a quote from anyone for 1000% GDP growth per annum.

uoaei
2 months ago
I think the point is more to posit that our civilization will come to normalize AI as a ubiquitous tool extremely quickly like the other ones mentioned, and to analyze it from that perspective. The breathless extremist takes on both sides are a bit tiresome.
catigula
2 months ago
2 replies
If AI researchers are wrong they're gonna have a lot of explaining to do.
blibble
2 months ago
1 reply
they'll just move onto the next grift

quantum? quantum AI? quantum AI on the blockchain?

Yoric
2 months ago
1 reply
Quantum AI is definitely an existing research topic.

Not aware of Quantum Blockchain just yet, though.

p1esk
2 months ago
1 reply
https://www.dwavequantum.com/blockchain/
Yoric
2 months ago
Alright, we're doomed.

(writing this as someone who works in quantum)

rhetocj23
2 months ago
1 reply
TBH its far more likely they are wrong than right.

Investors are incredibly overzealous to not miss out on what happened with certain stocks of the personal computing, web 2.0 and smartphone diffusion.

catigula
2 months ago
1 reply
There's a certain anthropic quality to the idea that if we lived in a doomsday timeline we'd be unlikely to be here observing it.
uoaei
2 months ago
1 reply
Humanist, maybe. The anthropic argument is tautological: nothing is a doomsday without there being someone for whom the scenario spells certain doom.
catigula
2 months ago
1 reply
How is it tautological? Some form of it is the very basis of atheism.

Doomsday timelines have lower numbers of observers. In all timelines where you are no longer an observer,i.e. all current doomsday timelines, your observation has ceased.

uoaei
2 months ago
1 reply
To repeat myself: if there is no life to experience doom, then whatever happens still happens, but it is not "doom". In other words, doom is a moral construct. Morality only exists when a being draws a line between "good" and "bad", it is not a real thing that exists.
catigula
2 months ago
Merely saying something does not make it so. I feel like you're too far off what I would consider a thread of conversation to continue this, I wish you well though.
Animats
2 months ago
1 reply
"This essay reviews seven books from the past dozen years by social scientists examining AI’s economic impact."

Going back that far may not be too helpful. Three years ago, ChatGPT wasn't out. A year ago, LLM-type AI only sort of worked. Now, it's reasonably decent in some areas. If you look at AI impacts retrospectively, you probably underestimate them.

huitzitziltzin
2 months ago
If you read the review, you will see the author notes that issue pretty often and specifically discusses ways in which the oldest book he reviews (from 2014) both is and isn’t useful.

It’s worth reading

hugh-avherald
2 months ago
Does anyone have any clue as to why economists in particular have such awful LaTeX settings by default?
dzink
2 months ago
Electricity supply is not matching AI datacenter electricity demand. In areas where solar is not as strong, prices to regular electricity subscribers are skyrocketing. With unemployment moving up and debt levels increasing all over the country, inflation caused by Energy demand may be very risky.
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ID: 45305660Type: storyLast synced: 11/20/2025, 1:51:04 PM

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