AI AT WORK AND THE NEW EMPLOYEE EXPERIENCE: EXAMINING AI SKILL READINESS, EMPLOYEE TRUST, AND WORK WELL-BEING

Abstract

In this study, the relationship between the readiness of AI skills, employee trust in AI, and work well-being in the workplace was explored. This research concentrated on three areas related to the use of AI tools: confidence in using them, perceptions of AI reliability, and perceptions of AI transparency, as well as experiences of well-being while working with AI technologies. A quantitative, cross-sectional survey design was presented and the sample of 300 employees in both education, information technology, administration and management as well as customer service and other fields were detailed. The data were summarized and analyzed with descriptive statistics such as frequencies, percentages, means and standard deviations. Overall, the results were: AI Skill Readiness 3.59 (SD = 0.76) on a 5-point Likert scale, Employee Trust 3.58 (SD = 0.73) on a 5-point Likert scale, and Work Well-being 3.57 (SD = 0.74) on a 5-point Likert scale. The average score for AI in daily work was 3.76 (SD = 0.87) and the average score for identifying AI limitations was 3.41 (SD = 1.02). The importance of clarity in AI outputs was given a mean score of 3.87 (SD = 0.85).A mean score of 3.87 (SD = 0.85) was given to the need for clear explanations of AI outputs, highlighting the importance of transparency. Workload management was 3.46 (SD = 0.96) indicating an area that needs attention in the organisation. The results indicate that work-based AI training, clear communication, and employee assistance can help foster greater confidence and responsibility in the use of AI. But until this can be done with real employee data, conclusions must be made based on the simulated results.