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AI Can Screen CVs Faster, But Recruiters Still Decide Who Gets Hired

Hiring has become more complicated over the past few years. Companies are receiving more applications, candidates expect quicker responses, and recruitment teams are under pressure to fill vacancies without compromising on quality. AI is helping with some of that workload. Employers now use AI to organise applications, identify candidates with relevant experience and reduce the

AI Can Screen CVs Faster, But Recruiters Still Decide Who Gets Hired

AI Can Screen CVs Faster, But Recruiters Still Decide Who Gets Hired

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Hiring has become more complicated over the past few years. Companies are receiving more applications, candidates expect quicker responses, and recruitment teams are under pressure to fill vacancies without compromising on quality. AI is helping with some of that workload. Employers now use AI to organise applications, identify candidates with relevant experience and reduce the time spent reviewing CVs. For businesses hiring at scale, it can make the early stages of recruitment far more manageable. That efficiency, however, only solves part of the problem. The strongest applicant on paper does not always become the strongest employee. Some candidates have excellent qualifications but struggle in interviews. Others have unconventional career paths that make their CVs easy to overlook, despite having the experience a business actually needs. Recruiters are often the ones who recognise those differences. A conversation can reveal far more than a list of previous jobs or qualifications ever could.

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Recruitment is rarely a perfect match

Hiring managers usually begin with a clear picture of the person they want. That picture often changes once interviews begin. A candidate who does not meet every requirement may bring industry knowledge, commercial experience or leadership qualities that were not obvious from their application. Equally, someone with the perfect CV may not be the right fit for the role or the team. Those are decisions that happen during the recruitment process, not while software is reviewing applications. Candidates no longer wait weeks for feedback. Businesses know that long hiring processes increase the chances of losing skilled applicants to competitors, which is one reason AI has become part of recruitment. Reducing the time spent sorting applications allows recruiters to focus on interviews, reference checks and working with hiring managers to make decisions. For many organisations, that is where the biggest value lies.

Recruitment is still built on conversations

A candidate wants to know more than the salary on offer. They ask about the team, opportunities for growth, expectations and the way the business operates. Employers also want to understand how someone approaches challenges, works with colleagues and responds to pressure. Those conversations often influence the final decision on both sides. They are also the part of recruitment that software has yet to replace.

The recruiter’s role is changing

AI is reducing the amount of repetitive work involved in recruitment, but it is also changing where recruiters spend their time. Less time is being spent reviewing CVs manually, while more attention is going into interviewing candidates, advising hiring managers and improving the overall recruitment process. For businesses, that means faster shortlisting without removing the experience that recruiters bring to hiring decisions. The technology may help narrow the field, but deciding who joins the business is still a decision that employers prefer to make with people, not software.

News & OpinionAfrican startups
Vutomi Manzini

Reporting for Business Tech Africa on the funding, tools and strategy shaping the continent's founders and SMEs.

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