To make this less spammy, the person sending out the emails could've instead used AI to filter through a smaller set of people where their product is likely to generate very high interest, based on a prompt containing the product description and perhaps a summary of the things the potential recipient blogged about. Then, they could've used that short list to write a set of _actually_ personalized outreach emails with high chance of impact.

You could refine this in further iterations by also adding examples based on previous correct/incorrect interest predictions, thereby effectively reducing the amount of spam / making cold outreach suck less.

There are different ways to use AI to achieve the same goals, some more responsible than others.