Machine learning could significantly enhance personality testing by making assessments faster, more flexible and more accurate, according to new research from the University of East London. Analysing DISC assessment data from over 1,000 participants, the study found AI models could replicate traditional classifications with over 93% accuracy while also identifying blended personality traits often missed by standard methods. Researchers also showed that a streamlined 10-question version of the test could retain more than 91% accuracy, offering a quicker yet reliable alternative for use in recruitment, leadership development and team building.