The research determines the impact of big data and AI technologies on the components of quality of life as a primary demonstration of the friendliness of these technologies towards humanity. For this purpose, the authors carried out regression modeling of the influence of the dissemination of big data and AI on the components of quality of life. The research is based on IMD and Numbeo data on the top 30 developed and developing countries with the highest quality of life levels in 2023, ensuring a thorough examination of international practices in promoting public welfare within the digital economy. As a result, the authors constructed a social profile of big data and AI technologies, offering a systemic view of the social consequences of disseminating these technologies. This framework delineated the benefits (e.g., enhanced purchasing power, heightened physical security, and reduced housing costs and transportation) and the risks (e.g., a higher cost of living and environmental degradation associated with their implementation). This analysis provided a scholarly basis for introducing a new criterion—the human-friendliness of big data and AI in decision support systems. Furthermore, the research presents comprehensive recommendations for applying this criterion effectively in the contemporary digital economy landscape.