The augmented recruiter: examining AI integration and decision-making dynamics in Qatar's organisational hiring practices

Purpose This study explored the implementation of artificial intelligence (AI) in recruitment processes within Qatari organisations, focussing on how these technologies impact organisational efficiency, human judgement in decision-making and recruitment outcomes. Design/methodology/approach The research employed an interpretivist philosophy and a case study design, investigating two prominent Qatari firms with contrasting AI recruitment implementation approaches. Data were collected through semi-structured interviews with twenty-two participants across various organisational roles and hierarchical levels. The thematic analysis framework was used to identify patterns and relationships within the data. Findings Four key themes emerged, including (1) process optimisation through AI integration, (2) subjectivity in AI-powered recruitment, (3) recruitment strategies in the age of AI and (4) strategic investments in AI. The research found that AI significantly enhanced efficiency through process standardisation and automation, but functioned optimally as an augmentative rather than a replacement technology. Practical implications Organisations should approach AI recruitment tools as augmentative technologies, invest in customisation capabilities, implement comprehensive change management strategies and maintain robust post-hire evaluation procedures. Originality/value The research shifts focus to under-researched non-Western workplace settings, particularly in technologically advancing Middle Eastern economies like Qatar.