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title: Worth Reading: The AI Supply Paradox « ipSpace.net blog
description: Eric Hoel's analysis of the AI supply paradox argues that the easier it is to train an AI on something, the less economically valuable that thing is — because...
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# Worth Reading: The AI Supply Paradox « ipSpace.net blog

**[ipSpace.net Blog](https://daily.dev/sources/ipspace)** · 1 min read · 0 upvotes · 0 comments

## Summary

Eric Hoel's analysis of the AI supply paradox argues that the easier it is to train an AI on something, the less economically valuable that thing is — because the abundance of training data implies the output was already cheap to produce. The implication: AI disrupts low-value, easily generated content most effectively, raising questions about whether massive investor bets on AI will pay off.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.ipspace.net/2023/12/worth-reading-ai-supply-paradox>

## Questions this post answers

### What is the AI supply paradox?

The AI supply paradox is the observation that the easier it is to train an AI to do something, the less economically valuable that thing is. The abundance of training data for a task implies that the output was already cheap and plentiful — meaning AI excels at disrupting low-value, easily generated content rather than high-value, scarce work.

_Developers weighing AI's real economic impact on their work find perspectives like this on daily.dev._

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