If Every Candidate Uses AI, How Will We Identify the Best?

Artificial intelligence is changing the way candidates present themselves to the job market.

Better-crafted CVs. Cover letters perfectly tailored to each vacancy. Interview answers designed to match recruiters’ expectations.

All of this can now be achieved with a speed and level of quality that, just a few years ago, would have required considerably more time and preparation.

But this evolution raises a question that deserves the attention of every organisation:

If everyone can present an apparently perfect application, how can we identify those who are genuinely equipped to do the job?

For a long time, recruitment processes have relied heavily on professional experience, interviews and candidates’ ability to communicate their skills and achievements.

These elements remain important. However, in a world where AI can help create highly convincing professional narratives, we risk confusing the quality of the presentation with the quality of the professional.

And the two are not necessarily the same.

A candidate may deliver brilliant answers about leadership without ever having led a team through genuinely challenging circumstances. They may speak fluently about strategy without having been responsible for decisions with a real impact on the business. They may describe outstanding results without making it clear what their actual contribution was.

The problem is not the use of artificial intelligence. In fact, knowing how to use it may well become an increasingly relevant skill.

The real challenge is adapting selection processes to a reality in which presenting skills has become easier, while validating those skills still requires depth and rigour.

This forces organisations to rethink some of their existing practices.

Instead of simply asking what a candidate has done, they will need to explore how decisions were made, which alternatives were considered, how the candidate responded when results fell short of expectations, and what was learned from mistakes.

Rather than looking only for the right answers, they will need to understand how each person thinks when faced with problems that have no obvious solution.

Above all, they will need to distinguish between what a candidate can communicate and what they can actually deliver.

This is where the quality of the recruitment process takes on renewed importance.

Because when everyone can build a convincing professional narrative, the real value no longer lies in identifying those who communicate their potential most effectively. It lies in assessing who possesses the skills, judgement and execution capabilities required to deliver results.

In the future, a company’s competitive advantage may not lie in finding candidates who give the best answers, but in its ability to ask the questions that truly matter.

Perhaps this is one of the greatest challenges artificial intelligence poses to recruitment: not making the selection process more technological, but forcing us to make it more intelligent.