Impact of Artificial Intelligence in Recruitment and Talent Acquisition: An Empirical Study at Datapattern

The recruitment and talent acquisition landscape has undergone a paradigm shift with the advent of Artificial Intelligence (AI). Organizations today are increasingly leveraging AI-driven tools to streamline hiring processes, enhance candidate experience, and improve decision-making outcomes. This study investigates the impact of AI in recruitment and talent acquisition with a focused empirical study at DataPattern, a Chennai-based data and AI services company. Using a descriptive research design, primary data were collected from 120 HR professionals, recruiters, and employees through a structured questionnaire and analyzed using percentage analysis and chi-square tests. Results reveal that 78% of respondents have engaged with AI-powered recruitment tools, with AI-based resume screening identified as both the most widely deployed method (35%) and the most effective in reducing time-to-hire (40.3%). A significant majority (72%) perceive AI as improving the quality of hiring decisions and reducing unconscious bias. Chi-square analysis confirms a statistically significant association between experience level and perception of AI effectiveness in recruitment (p=.003) and candidate quality improvement (p=.007). Key recommendations include adopting a human-AI hybrid recruitment model, strengthening governance frameworks for ethical AI usage, and customizing AI tools by role and organizational function. The findings provide actionable guidance for HR practitioners and technology leaders seeking to optimize talent acquisition through AI.