Integration of AI Agents in Recruitment: Opportunities and Challenges

Abstract

This research illustrates the potential implications of AI agent deployment in the 
recruitment ecosystem, primarily through a Bangladeshi multinational cultural lens. The 
goal is to streamline procedures, accelerate recruitment, introduce a paperless workflow, 
and facilitate more rigorous, robust evaluations of prospective candidates, reducing human 
error and bias to ensure optimal job alignment. However, a few international studies have 
highlighted AI’s utility in the hiring process, but its actual use and impact in Bangladesh 
remain largely unstudied. Hence, the results of this study are anticipated to have a broader 
impact on Bangladesh’s digitalization of the traditional hiring process, reducing time and 
human intervention while addressing algorithmic and behavioral biases.  More importantly, 
the research also emphasizes the need to educate applicants and recruiters about technical 
errors in AI systems, including the trial period of operation and the duration of data feeding. 
Ultimately, this study supports not only AI implementation but also responsible adoption 
of AI, backed by a regulation framework, stakeholder understanding, and capacity
building initiatives, which can help digitally transform the hiring landscape. These gaps 
were addressed through a mixed-method approach combining quantitative surveys with 
qualitative interviews of job seekers and human resource professionals. Data has been 
collected from multiple organizations through surveys at different levels, secondary sources, 
interviews, and relevant case studies. Here, Gibson’s Theory of Affordance serves as the 
analytical structure supporting the study by evaluating user acceptance and engagement 
with the AI-agent-based system. Future studies and cases should investigate the long-term 
feasibility of integrating AI agents into HR operations, especially the recruitment process, 
and evaluate the new challenges arising in other Bangladeshi companies.