AI Has Taken Over Hiring. But Speed Isn't the Same as Fairness.

In just a few years, it's become part of nearly every step - from CV screening to interviews.

But speed doesn't equal perfection.

The cracks are already showing, and they raise tough questions about fairness and trust.

From the candidate side:

AI helps polish CVs, cover letters, and LinkedIn profiles. But once they apply, the experience can feel cold.

Time (Aug 2025) found many candidates feel a lack of human connection, while the Washington Post reported that "virtual recruiters" now run first-round phone and video screens.

Some call it efficient. Others call it confusing.

From the employer side:

AI parses CVs, ranks applicants, and speeds up shortlisting.

That's useful when you're drowning in applications.

But transparency and oversight are issues - strong candidates can still be filtered out if they don't fit neatly into the algorithm.

Screening videos:

They're on the rise. My advice to candidates: if it's optional, do it. It's the clearest way to stand out in a sea of AI-polished CVs.

But videos carry risks too. Some candidates are less comfortable on camera, which could unfairly disadvantage them.

Recruiters need to be trained to assess substance over style.

Interviews:

The Wall Street Journal reported that in-person interviews are making a comeback.

Just 5% of hires in 2024, now 30% in 2025 - as companies like Google, Cisco, and McKinsey push back against AI fraud and deepfakes.

The ethics:

AI trained on past data risks reinforcing bias around gender, race, or socioeconomic background.

Building fair workplaces means designing AI carefully - and ensuring human oversight at every stage.

Which leaves us with bigger questions:

• How much should we rely on AI?

• Where do we add the "human check"?

• How do we balance efficiency with fairness and connection?

How is AI impacting the way you hire or apply for roles?