For instance, imagine you are an airline. You have an issue to do with deportation critics disrupting flights when people are being forcibly deported on them. This happens fairly infrequently but costs you quite a lot of money every time this happens. So, 'logically', you decide to determine who is most likely to disrupt a flight and so through discriminatory thinking somebody decides that those with left-wing political leanings are more likely to disrupt a flight. They purchase this information on political leanings for each of their passengers and pass this cost onto those who fit the profile, entirely on the basis of their political beliefs.
And if they don't do this directly, they will do it by proxy in the same way that the insurance industry has been using proxies for race. https://www.forbes.com/sites/advisor/2020/07/23/insurance-re...
It's a sort of insurance-ification of all pricing and permission which this kind of technology is increasingly enabling.