In what way does AI optimization increase attribution problems?$\%0$D$\%0$A$\%0$D$\%0$AThe ad networks are more successful at targeting people who are already likely to buy, so the ad networks can claim credit for purchases they did not cause$\%0$D$\%0$AThe AI optimization algorithms have been trained in the most efficient way to fabricate realistic$-$seeming data$\%0$D$\%0$AAI$-$optimized ads are more likely to affect shoppers$$ behavior on other advertising platforms, increased cross$-$channel advertising effects$\%0$D$\%0$AAI optimization increases the amount of random noise in the data, which makes it more difficult to measure which ads are producing conversions