In the evolving world of recruitment, artificial intelligence has emerged as both a revolutionary promise and a complicated reality. The story begins with a simple premise: there are too many resumes and not enough time to review them. Employers sift through hundreds, sometimes thousands, of applications for a single position. The human capacity to process and fairly evaluate such a volume is limited, often biased, and almost always rushed; into this gap stepped AI, offering an elegant solution. Algorithms could screen candidates, identify matches based on skills and experience, rank resumes, and even recommend individuals with similar profiles to previously successful hires. The early allure of this approach was unmistakable. It was faster, cheaper, and more consistent. For employers seeking efficiency, AI delivered results at a scale unmatched by traditional methods. For applicants, the technology promised greater fairness. No longer would a recruiter’s unconscious biases about someone’s name, school, or neighborhood quietly determine whether a resume got read. AI could strip away identifying details, focus on core competencies, and evaluate everyone equally. At its best, it created the possibility of an open door for those who had been historically locked out.