Now that interest rates are high, the calculus for expansion projects is very different. You may very well be spending more money than you anticipated returning from your moonshots.
Data science tends to span both (future product dev and analysis of existing functionality), and data science can be particularly tricky to assign a value to, so not surprised there are also significant cuts there.
2. If you go deeper with cuts, most things will continue to work. But behind the scenes it’s a dumpster fire with people just trying to keep things running as much as possible. Things still work, but there will be bigger consequences down the road.
3. You go even deeper. Things work until they don’t. People who can fix it are no longer there. You decide to diversify away from that part of business and lose revenue.
The thing is there is a bloat in every single organization you have and tech companies are no different. But depending on how big 10000 is as a percentage of your total headcount, the impact can be anywhere from small to catastrophic
Yes
>What are people doing all day where it’s realistic to lay of 10,000 people?
They're probably in meetings, while a fraction of their time is actually spent doing work.
https://wallaroomedia.com/blog/social-media/tiktok-statistic...