Arvind Narayanan

Defending institutions against AI slop

August 31, 2026

AI slop wastes people’s time, but it also has deeper structural effects. Many institutions relied on processes with some friction as a form of natural spam protection, but AI has now eliminated those costs. Submitting a paper for peer review, applying for a job, filing a legal complaint, and dozens of other processes can now be automated, which threatens to overwhelm systems and organizations.

The thesis of this project is that many institutions face strikingly similar threats due to slop and can learn defensive strategies from each other.

Compile a list of 50 processes that are breaking due to AI Identify how institutions are currently responding
Create forums and venues for affected organizations to share tools, knowledge, strategy
Establish common patterns, argue for common solutions
Analyze what works well and what doesn’t
AI-generated version Yet to do

What exists so far

I’ve published this in response to Abi Olvera’s kind suggestion that it might be helpful to share AI-validated ideas that I don’t have the bandwidth to execute myself. I hope people find this helpful!