The Writing Doom Loop
Source: Alex Kotran Substack
Author: Alex Kotran, Nathan Kriha
Original source: https://alexkotran.substack.com/p/the-writing-doom-loop
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Summary
Alex Kotran and Nathan Kriha argue that generative AI is weakening writing’s ability to signal skill, effort, originality, and thought. They use research on Freelancer.com proposals to show how AI-generated applications can make high- and low-skill candidates appear more similar, creating a hiring “doom loop” in which polished writing loses predictive value. They extend the same logic to admissions essays, online writing, and school assessment. The educational danger is that students may bypass the productive struggle through which writing develops synthesis, perspective, voice, and agency.
Big ideas
- Learning still needs some struggle, even when AI can make things easier
- Students need to bring the purpose; AI should not supply it for them
- AI literacy should help people notice how AI changes what counts as knowing
- AI is changing what knowledge work asks people to do
Claims
- AI-generated text can make finished writing less trustworthy as evidence
- Learning requires some productive struggle that AI can remove
- Take-home essays are no longer reliable evidence by themselves
- AI changes how people come to know things, not just how fast they work
Key evidence and examples
- The article cites research on Freelancer.com showing that AI-assisted proposals made application quality less predictive of actual worker ability.
- A simulated labor-market result suggested top-quintile workers were hired less often and bottom-quintile workers more often when applications lost signal value.
- The authors compare this to a market-for-lemons problem in which readers cannot distinguish high-effort human writing from cheap synthetic text.
- College admissions essays and AI screening tools are used as examples of institutions responding to signal collapse with more automation.
Education relevance
Highly relevant for writing instruction, academic integrity, college readiness, admissions, assessment design, and the question of why writing still matters when AI can generate polished prose.