Not too long ago, the primary challenge in recruitment was reaching candidates. Companies invested in advertisements, sourcing, and building talent pools, attempting to increase application numbers and expand the pool of potential employees.

Today, in many cases, the problem looks entirely different.

There's no shortage of candidates. What's lacking is clarity on who truly fits the role.

It's a subtle yet very significant shift.

When the number of candidates ceases to matter

Modern recruitment increasingly deals with information overload. A single role can generate dozens, sometimes hundreds of applications. At first glance, this seems like good news - a greater choice should increase the chances of finding the perfect person.

In practice, however, a higher number of applications often means more noise.

Recruiters no longer evaluate a few or a dozen CVs, but rather dozens of very similar documents that look good at first glance. Every subsequent decision requires time and focus, which are usually in short supply in everyday work.

As a result, the process begins to rely not on selecting the best candidate, but on quickly filtering a large number of submissions.

AI changes application quality

Another factor has significantly altered the recruitment dynamics in recent years: artificial intelligence.

Candidates increasingly use AI to prepare their applications. CVs are better written, more organised, and tailored to specific ads. Cover letters are coherent and logical. Responses to recruitment questions are thoughtful and well-structured.

On one hand, this is a positive change. Candidates can better communicate their experience.

On the other hand, a new problem arises.

If most applications look good, it becomes harder to distinguish those truly valuable from those that are merely well-prepared.

Signal versus noise

This introduces a concept that increasingly describes modern recruitment: separating signal from noise.

A signal is everything that truly communicates something about the candidate: their experience, way of thinking, skills, and potential for the role.

Noise is everything that looks good but doesn't necessarily convey real informational value: repetitive phrases, keyword optimisation, or documents generated and tailored by AI.

The problem is that the line between the two is becoming less distinct.

When screening becomes a bottleneck

Here, it's worth noting another aspect that is increasingly spoken about in practice, though less frequently in official analyses.

Many recruiters today lack both the right tools and sufficient time to effectively distinguish truly valuable applications from those that are merely well-prepared or optimised for the advert. In the context of a large number of submissions, screening becomes a process of making quick decisions based on limited information.

It's not a matter of lack of competence.

It's the effect of an environment where the number of applications grows, the quality of documents equalises, and the pressure of time remains consistently high.

In such a reality, it's very easy to get 'stuck' at the screening stage - spending more and more time analysing CVs that look good but don't always carry real informational value. This, in turn, increases the risk of truly interesting profiles being overlooked.

Recruitment as interpretation, not just selection

In this reality, the role of the recruiter is beginning to change.

It's no longer just a selection process, where the best CVs from the available pool are chosen. Increasingly, it is a process of interpretation - a quest to understand what truly lies behind a well-prepared application.

Recruiters are beginning to ask different questions:

Is this experience truly as fitting as it appears on paper? Does the candidate's communication style reflect their real competencies? Does a well-written CV represent an equally good understanding of the role?

This requires more attentiveness, all while having to occur under time pressure.

The paradox of modern recruitment

Interestingly, this topic is increasingly appearing in discussions among HR market practitioners.

In one conversation on LinkedIn, a very characteristic phenomenon was noted: candidates use AI to write their applications and prepare for interviews, and companies use AI to analyse and filter these applications.

As a result, the initial stages of the recruitment process are beginning to resemble a situation where algorithms evaluate documents prepared by other algorithms.

This leads to a very simple but important question: in some recruitment processes today, are we evaluating candidates... or rather the quality of the tools they use?

Real fit as the new currency

In a world where applying is becoming easier and documents more polished, the greatest value is no longer the number of candidates.

The greatest value is real fit.

Not the kind that comes from well-chosen keywords in a CV. Not the kind generated by AI based on the advert.

But the kind that truly translates into the ability to perform the job, understand the business context, and make decisions.

What does this mean for recruitment?

Perhaps the most important change is that recruitment is no longer a process of acquiring candidates but has become a process of understanding information.

Recruiters are no longer looking for more CVs. They are looking for what is truly valuable within those CVs.

They are searching for the signal.

And this means that recruitment success depends less on the number of applications and more on how well an organisation can interpret what truly matters.