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An AI applicant tracking system (ATS) differs from a traditional ATS primarily in its use of advanced technology. Traditional ATS platforms typically rely on basic algorithms and manual input to screen resumes and manage job applications. They may use keyword matching to filter candidates, which can be limited and prone to errors. In contrast, AI applicant tracking systems incorporate artificial intelligence and machine learning to enhance these processes. AI ATS can analyze the context of resumes, understand the nuances of job descriptions, and predict candidate suitability with greater accuracy. They also automate repetitive tasks such as scheduling interviews and sending follow-up emails. Furthermore, AI-powered systems can continuously learn and improve their algorithms based on new data and feedback, offering more refined and effective recruitment solutions over time.