Today, the power of artificial intelligence is more and more present and intervenes particularly in the classic and private recruitment process. Employers are hiring the right candidates by implementing 100% digital and optimized tools that make it easier for them to process applications faster.
By leveraging AI-based technologies, employers are able to quickly post job openings, screen and shortlist the best candidates while automating the majority of the recruitment process.
These tools not only help employers save time, but more importantly, save costs associated with the recruitment process as the average cost of hiring a new employee can be as high as 10,000e in France.Specialized recruitment agencies, for example, evaluate candidates today thanks to a fast and efficient processing that their own digital recruitment platform performs upstream.
They mainly rely on the technique of sourcing (internal and external), where filtering algorithms allow them to better target candidates who have applied on the website or via LinkedIn thanks to the data collected, in order to propose profiles that meet the needs of companies.
In the same way, matching algorithms make it possible to match a CV with the job offers proposed, some recruiters set up chatbots that know the frequent questions to provide a quick answer, which remains difficult to manage with traditional recruitment methods.
On the one hand, this promotes the candidate experience by automating repetitive tasks and shortening the hiring cycle, and on the other hand, it eliminates the biases that prospective employees may have about the selection process.
However, it is important to understand that it is necessary to constantly monitor the evolution of these tools optimized by specialists in the field, as AI is presented as a decision support tool and not as a final decision tool for job seekers. AI is effective in detecting hardskills on a CV, but the recruiter’s expertise and know-how remain indispensable in identifying people’s soft skills, which count as much as professional experience.
