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Recruitment Consultant

Based on 36 assessments

35% Moderate risk

Average realistic automation risk across all Recruitment Consultant profiles in the dataset.

Raw potential
67%
Realistic risk
35%
Research benchmark ?
59%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 36 profiles. Middle half of Recruitment Consultants score between 30% and 40%.

0% 50% 100%
p10 · 27%
44% · p90
On-screen work 42%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 58%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 0%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 0%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Recruitment Consultant, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Candidate screening and interviews: Conducting phone or video interviews to assess candidates' skills, experience, and cultural fit. Includes evaluating soft skills and providing feedback to clients.
deep expertise social element
39% AD 12%
Client relationship management: Building and maintaining relationships with hiring managers and HR teams to understand their hiring needs, providing updates on candidate pipelines, and negotiating terms of service.
deep expertise
23% AD 8%
Job order intake: Meeting with clients to gather detailed job requirements, including role responsibilities, required qualifications, salary ranges, and company culture.
deep expertise
10% AD 2%
Coordinating interviews: Scheduling interviews between candidates and clients, managing logistics (e.g., interview times, locations, or virtual meeting links), and following up with both parties for feedback.
10% DD 44%
Sourcing candidates: Searching job boards, LinkedIn, and other databases to find potential candidates who match client job requirements. Includes reviewing resumes and initial screening of profiles.
deep expertise
10% DD 34%
Offer negotiation and placement: Facilitating salary and benefits negotiations between candidates and clients, extending job offers, and ensuring smooth onboarding for successful placements.
deep expertise
4% AD 14%
Market and industry research: Staying updated on industry trends, salary benchmarks, and competitor activity to provide informed advice to clients and candidates.
1% DD 54%

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