The Quest Called Hiring
There are more tools than ever - yet normal hiring is still a difficult task. Why doesn't speeding up processes make them better?
Authors: slavb18
Something strange is happening with hiring.
On one hand, everything has sped up. AI, automation, scoring, a ton of tools.
On the other hand, it feels like it hasn't gotten any better.
We're just making the same mistakes faster.
More Doesn't Mean Better
- More candidates → more noise
- More tools → more filters
- Faster processes → less time to think
Resumes Still Decide Too Much
Even though we all understand it's a weak signal.
ATS screens by keywords. People skim. And as a result, strong candidates easily slip through.
AI Is Not Magic
It's good at accelerating, but often stays on the surface:
- doesn't see the context
- doesn't understand the task
- repeats biases from data
A Strange Situation
There are more tools than ever before. Yet normal hiring is still a difficult task.
From both sides, by the way.
The Problem Is Not Technology
But rather that we're still trying to optimize the process, instead of thinking about the outcome.
As long as we evaluate:
- how a resume is written
- how a person performed in an interview
we will get the corresponding result.
What Really Matters
In fact, something entirely different is important:
- how a person thinks
- how they solve problems
- how they behave in real work
And yes, it feels like even in 2026, it's often not the strongest who wins, but the one who best completed this quest called "hiring."
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