Most of data work is just middle management paperwork at the end of the day. The incremental value of the nth dashboard, nth model, nth analysis is decayed ver

Most of data work is just middle management paperwork at the end of the day. The incremental value of the nth dashboard, nth model, nth analysis is decayed very quickly. What's worse is the demand side for "data stuff" is largely driven by ad spend and companies trying to get alpha on beating ad spend. So you have all this venture money getting burned up by ads, then burned up by all the headcount and compute of "data teams" trying to beat ads. Some people in the thread have pointed out that this is like UBI. I think it's actually more socially reckless and far more sinister than UBI. Given that VC funds are largely pension funds, essentially the pooled money of the middle class is what is subsidizing $200k+ salary analytics engineers, data scientists, as well as the $200k+ "influencers" selling stuff to the data engineers and scientists and analytics engineers and whatever other invented titles VC comes up with to get 2% management fees off laundering this pension fund money and university endowments into Snowflake credits so that to make "insights" can be made for middle management. I write about these things here and there. https://medium.com/p/bfd4b4e33ac7 https://medium.com/p/bfd4b4e33ac7 I also did a podcast recently where we covered how pension money goes to Sequoia and how that resulted in a Reverse ETL vendor sending me a panini press bribe and how panini press GTM tactics are unlikely to result in returns back to grandma's pension funds. You might be putting grandma on the street by participating in this whole charade. https://www.youtube.com/watch?v=yInWs4NUs0E&t=233s https://www.youtube.com/watch?v=yInWs4NUs0E&t=233s It's too much nonsense in the data world. It's enough to make you completely insane.