I agree. I was thinking about granularity / specificity but wasn't able to form a coherent train of thought. I'll give it a try. In my part of the world rents

I agree. I was thinking about granularity / specificity but wasn't able to form a coherent train of thought. I'll give it a try. In my part of the world rents are often very naively indexed, say with CPI or CPI+. That is currently an issue, but usually pretty well functioning. Any individual has no influence on the CPI. So the CPI has a feedback loop, but no characteristic of influence. In an AI world that characteristic of influence is indeed not clear at first. I can only expect this to be a pretty dark AI considering the 'Great Succes' it is for the owners. I expect it to vacuum data from brokers in order to calculate a "willingness to pay" combined with a "propensity to pay" to calculate individual and portfolio optimal increases. How is this (/ could this be) collusion? Because the rent increase on property X1, owner Y1 (that is private information, at least I presume for the US rental contracts are 1-on-1 and not public information) is input for all the distributions over properties X and owners Y. I think your point that other market characteristics have a large impact on collusion (yes / no / degree) is subtle as well.