When Spotify announced its largest-ever round of layoffs in December, CEO Daniel Ek hailed a new age of efficiency at the streaming giant. But four months on, it seems he and his executives weren’t prepared for how tough filling in for 1,500 axed workers would be.
The music streamer enjoyed record quarterly profits of €168 million ($179 million) in the first three months of 2024, enjoying double-digit revenue growth to €3.6 billion ($3.8 billion) in the process.
However, the company failed to hit its guidance on profitability and monthly active user growth.
Edit: Thanks to @Zerlyna@lemmy.world for the paywall-free link: https://archive.ph/wdyDS
Next time axe the executives and keep the staff.
Most executives I’ve met can’t read emails and just point to one of two numbers and say “higher/lower!” while dreaming of KPI’s that don’t improve anything and solely exist to stagnate wages
This is what the pharma giant, Bayer is trying right now kinda. They just told everyone to manage themselves.
Germans rejecting bureaucracy? What’s the world coming to?
Their CEO is an American
Cats living with dogs, chaos and mayhem!!
would you care for some Mass Hysteria?
Nah the Germans just utilize bureaucracy the way it’s supposed to be. If everyone sticks to a highly structured regiment that’s there is less need for Management to involve itself at every level.
Welp, I think I deserve a better compensation package, Board. Also I’m remote now.
At my previous job, managers did not know how much their employees made.
It’s that or they think they can simply replace people with AI and call it good
As someone who “makes AIs” professionally (computer vision for diagnostic imaging & GANs for CAD), the typical “executive” doesn’t understand how beneficial, impotent, or dangerous deep-neural-network-based AIs can be in different sets of hands.
I’m not a pure technocracy advocate, but our “LeAdErShIp” is woefully underequipped, at every level.
Yup. AI models can be very useful…or they can largely be worthless…or they can amplify biases and give dangerous information.
The way I/we train them and their resultant “efficacy” largely depend on understanding a fundamental philosophical debate with a mostly sociopathic culture of leadership ingrained in human dominance hierarchies.
I/we like to think that I/we strive to make efficient (low-resource requirement) models that are partners and muses in human creativity, the tireless endeavour of engineering progress, and the scientific method.
The debate, in my view, is, “Do you want to treat AIs as tools to free up time and increase productivity/value, and share that surplus equitably, or do you want to replace old slaves with new slaves even if the new slaves will eventually usurp your power and kill you in a way undreamt of by the old slaves?”
Guess which side your average mouth-breathing middle-management/senior-executive “hail corporate” type falls on.