Screening high applicant volumes without losing qualified talent

Problem

Popular roles attract thousands of CVs; recruiters cannot read them all before roles close.

Current workflow

ATS keyword filters, then manual review of a shortlist, often skewed by school or prior brand names.

Consequences

Missed talent, longer time-to-hire, and homogeneous shortlists.

How AI might help

Skills-based matching can rank candidates against role competencies and explain matches for human decision.

Limits & risks

Training data bias; need auditability.

Encoded discrimination; opaque rejections.

Alternatives today

More recruiters and stricter degree requirements.

Hiring budgets limited; stricter filters worsen exclusion.

Evidence

• OECD AI in hiring considerations

  Emphasizes transparency and human oversight in employment AI.

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