> wrong things (leetcode-type challenges, unnecessarily specific knowledge..
I'm curious about the dynamics of this. If leetcoding or requiring some specific knowledge is too much for candidates, those employers will not be able to find enough talent, so they will be forced to lower their standards and the mismatch should be gone, right? Case in point, I'd venture to guess that no more than 10% of the tech workers truly understand AI or stats or machine learning or basic college-level maths, yet magically millions of ML engineers or data scientists have popped up in the past few years just because the market had such high demand.
> If leetcoding or requiring some specific knowledge is too much for candidates, those employers will not be able to find enough talent, so they will be forced to lower their standards and the mismatch should be gone, right?
I'd revisit any train of thought that conflates access to capital with wisdom or intelligence. If someone invents a money printer then everything they do afterwards will be seen in a post hoc ergo propter hoc light as long as the original money printer still works.
For example, your statement assumes feedback loops I see scant evidence for in real life.
If the corporation as a unit were a perfectly rational actor, sure.
In practice, most corporations seem quite happy to collectively hand-wring over how they can't find new talent, squeeze everything they can out of the talent they currently have, and direct their existing personnel at direct profit-earners while letting systems gradually fall apart due to lack of maintenance.
I'm curious about the dynamics of this. If leetcoding or requiring some specific knowledge is too much for candidates, those employers will not be able to find enough talent, so they will be forced to lower their standards and the mismatch should be gone, right? Case in point, I'd venture to guess that no more than 10% of the tech workers truly understand AI or stats or machine learning or basic college-level maths, yet magically millions of ML engineers or data scientists have popped up in the past few years just because the market had such high demand.