Fair enough. It's a mix. But for the most part it's a net positive.

We have replaced external tools with in-house tools written by largely AI. These are not one-prompt tools made in a day. We have built our own analytics stack which non-technical coworkers use everyday - they are not interested in "bullshit", they need real, accurate data and visualisations. And we had a cross-over period where our internal tooling was compared to our (now legacy) 3rd party analytics tools. It was done properly.

At least where I work, I don't think there is much automation of "bullshit jobs" - people don't typically just waste time chasing fairy tales (for the most part). But for things like report generation or tracing issues or generating presentations or infographics, there is certainly a much higher volume of these things getting pushed around which may or may not actually achieve anything, or be at all correct. So I reckon a large chunk of these would fall under into the "bullshit" bucket.

Because everyone can produce so much more "stuff" with AI assistance / automations, a good portion does end up spewed straight out of the slop factory. How much / what proportion kind of differs person-to-person tbh.