The study presents the first large-scale bibliometric evaluation on how the generative artificial intelligence (GenAI) and computational intelligence will impact the knowledge economy research during the year 2015 to 2025. Based on 228 articles indexed in Scopus, the study incorporated the use of the trend of keywords, multiple correspondence analysis and citation network visualization to determine the central thematic clusters and their trends in development. The findings revealed a notable growth of publications since 2020 due to the development of language-centered technologies such as large language models (LLMs), natural language processing (NLP) and generative adversarial networks (GANs), which have become the center of the intellectual cluster. Despite the diversity of research issues, only an estimated 9% of studies explicitly evaluate the role of GenAI in determining the consequences of the macroeconomic knowledge economy, which leaves a significant disparity between the pace of technological development and the overall effects of technology on the economy. This study provides a scholarly, practical oriented recommendation to use the power of GenAI to accelerate digital transformation and ensure equitable economic and social benefits.