Nimit

Artificial intelligence (AI) continues to infiltrate numerous sectors, and recruitment is no exception. Once a realm dominated by human intuition, the hiring process has become increasingly reliant on algorithms to streamline candidate selection [1]. Underlying this shift is a well-intended desire for efficiency and objectivity, but it naturally creates ethical complexities too. Candidates, especially in today’s employer market, are finding application processes increasingly frustrating as they are eliminated by algorithms before a human ever reads

Too Long; Didn’t Read The rise of AI and machine learning is set to transform the job market by 2030, automating up to 800 million jobs globally but also creating new roles that demand innovative skill sets. While industries like manufacturing, transportation, and administrative support face significant automation, opportunities in data science and AI collaboration are emerging. The future of work will require a focus on upskilling, ethical AI development, and robust regulations to ensure