If the task is simple enough that you can throw AI at it with an intern and get it solved, then it should've been solved already in the first place. I'd argue in more mature organizations all the things that are "backlog todos" are such because there is inherent complexity that can not be solved simply by throwing tokens at it or there are too many unknown unknowns.
More like AI is exposing bad engineers faster than it would've been possible earlier. Previously they would simply outsource all their thinking to someone else, now they see massive progress with AI and delude themselves into wishful competence.
Hard disagree on "Good enough", most things are mediocre at best. Despite the massive AI boom I can at best count on one hand "fresh" products made with AI that are meaningful in day-to-day usage. Not to mention most of them seem to be targeting AI-space itself instead of bridging some actual business use case. Just look at all the products on ShowHN, you can "tell" a vibed product in seconds.
I think the core issue is that it is hard to sell why you need an RSS, especially for the average user. It would not be uncommon to meet an IT professional who has at best heard the term, but never really tried to delve further. Sadly by the time the average internet dweller hears of RSS, their mind is already so ingrained in the "usual" browsing experience that anything that is out of the ordinary feels instinctively wrong, even if it clearly has multiple merits.
The fact nothing has changed regarding their non-existent support within a year just shows where their priorities lie. And I will make the bold assumption that this situation will be unchanged after exactly one year.