Certainly seems to lend itself to automation way more than actual opinions. Set a bunch of measurable conditions tied to generic article prompts that relate to that condition ("late viewership surge" in this case or similar? Didn't read it lol), and then just run a routine that watches the metrics for all big IPs, checking each for your list of conditions, and let it fire away.
Devil is in the details and I'm not claiming that's an afternoon's worth of work for something convincing/ sophisticated, but what I'm describing is ultimately just quantifiable inputs and outputs with some "LLM window dressing" so it feels natural to readers. And of course the articles end up feeling thin and cheap as a result.
Edit: I should add, this is just in reference to discussion on metric-centric articles in general, not the one in the OP (which doesn't look AI-y at a glance)
Lol yep sounds a lot like my process! Took time to get it down and settle on tools (though those always changed anyway) but once you did, could make a buncha money for sure. With KVMs I could do a lotta volume on those kinda jobs and get some of my engineering homework done in between. Hardware repairs were more fun but way more time consuming and hit or miss depending on overall condition.
Not a bad gig overall but certainly did come with some downsides. Like, desktop computer filled with insect carcasses, brown everywhere with tar from cigarette smoke, stinking up the shop, customer somehow oblivious to the gnar-bomb that is their daily life intersecting with "ordinary" society.