https://en.wikipedia.org/wiki/Fucked_Company
Actually, who owns that domain? It might be time for a revival.
There is of course some value in self reported claims but usually a careful researcher would look for other evidence that those claims are sensible.
> How do they differentiate AI job loss from normal layoffs that companies are pretending are due to AI to get brownie points from shareholders?
why the same way we measure productivity gains from ai: mostly vibes (aka self-reporting)
yakattak•1h ago
sublinear•1h ago
All these layoffs seem to track better with longer-term decline than AI progress. One would otherwise expect the layoffs to reflect the multiple and much hyped "step change" improvements over the past few years. Instead the chart shows a sudden plateau starting a month ago. Probably when this last made the rounds somewhere else (maybe reddit? too lazy to search).
There's also a huge hole in media reporting regarding smaller businesses. That's where you'd expect AI to have the biggest impact. Instead we hear crickets.
ianm218•1h ago
Can you clarify the theory here? So if there is a “step change” you expect companies to do layoffs all at once? How does this account for I.e. diffusion lag or companies deciding if it’s better to chase growth vs. capital efficiency?
sublinear•1h ago
Despite this, the layoffs are steady over that time with no such spikes. If the goal was ever to cut costs, payroll is never spared since it's too big to ignore. Chasing growth is unlikely when lending and investment is tight. Why invest in other tech companies when you can invest in AI?
ThatMedicIsASpy•1h ago
jmalicki•1h ago
For some fields that's a huge amount of your compensation, but for software engineers it's noticeable but not going to be worth doing layoffs over by themselves.
Rekindle8090•1h ago