Reconstruction of knowledge worker performance evaluation system in the ChatGPT era

The emergence of ChatGPT in November 2022 disrupted practice in knowledge work and defied performance-measurement systems in human-exclusive task accomplishment under unprecedented comparability. This current study fills the gap in the literature between traditional models of appraisal and AI-enabled workspaces through the development of an evidence-based model of measuring performance in human-AI collaborative settings. Drawing on systematic analysis of 5,000 LinkedIn job adverts and 2,000 Indeed salary information between 2022-2024, the present study examined the shift in performance needs and skill needs in knowledge sectors following the release of ChatGPT. The study’s findings indicated that AI skills are especially needed in 27.8% of knowledge workers’ jobs, with a growth rate of 376% since the release of ChatGPT. AI-trained staff are rewarded with a 17.7% overall premium for their wages, and occupational competence varies from 43.2% in high-tech to 9.7% in the public sector. Systematic skill differences cannot be captured by conventional measuring systems, according to the results. The study discovers a three-dimensional model for measuring performance, including AI Tool Mastery, Collaborative Work Quality, and Human-AI Synergy to measure hybrid skills developed through human-machine collaboration. The research establishes the theory of performance management by developing operational measurement solutions for companies going through workplace redesign due to AI.