AI Impact on Jobs and Layoff Risk is a synthetic structured machine learning dataset on the impact of artificial intelligence on employment. It aims to explore the impact of AI adoption, job automation, job characteristics, and workforce skills on employment outcomes in the modern economy. It is widely used in tasks such as classification modeling, workforce analysis, automation impact research, and human resource decision support. This dataset contains 20,000 synthetic employee records, covering multiple industries and job categories such as data analysts, machine learning engineers, HR, and students. It predicts the risk of employee layoffs through four types of variables: personal background, professional attributes, job characteristics, and the degree of use of artificial intelligence.