In recent years, generative artificial intelligence (AI) has emerged as a transformative technology with far-reaching implications for various fields. One area that has witnessed a significant impact is data integration, which involves combining and consolidating data from disparate sources. Generative AI, powered by deep learning models, has the ability to generate new and realistic data based on existing patterns and examples. This article explores the effects of generative AI on data integration, examining both the opportunities it presents and the challenges it poses.