Recruiters are drowning in AI-generated resumes

More and more candidates are using AI to create their CVs and cover letters, which is starting to shake up the job market.

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With the use of AI, the volume of potentially interesting CVs explodes (illustration photo). (SKYNESHER / E+)

Several studies confirm this phenomenon, as we head back to school in September. According to the Canva company, 50% of job seekers now use CV or cover letter generators. For the recruitment firm Beamery, they would be around 45%. As for the Neurasigh Data institute, it estimates that 57% of candidates now rely on ChatGPT and the like to respond to classified ads.

It’s pretty easy to see why. These are tools that make it very easy to customize your resume and cover letter to fit your company. They also ensure that you’ll highlight the right experiences. That you’ll use the right keywords, which increases your chances of ending up at the top of the pile.

Some software can even automatically answer form questions, which saves a lot of time. With this development, recruiters are rather losing out, because the volume of potentially interesting CVs is exploding. They are therefore finding it increasingly difficult to identify the real gems in a pile of increasingly uniform CVs.

Yet, they already use filtering tools and algorithms to sort CVs and even artificial intelligence. Maybe that’s the problem. With IT, the recruitment process has been constantly automated in recent years. As a result, it has become totally inhuman. It’s not surprising that candidates respond with the same weapons: AI and automation. We reassure ourselves by telling ourselves that there is always a face-to-face interview at the end of the chain, but how many potential talents are rejected along the way.

Is there another solution? Not sure. It is hard to imagine a return to the past where each candidate would be interviewed one-on-one. Who knows? Maybe tomorrow, artificial intelligences will discuss among themselves the suitability of a job description. In the meantime, the result is that recruitment has become very dependent on networks and cronyism. Everything that technology was trying to avoid.


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