Abstract

The field of statistics is undergoing a profound transformation driven by rapid technological advancements and the increasing adoption of artificial intelligence (AI) and machine learning in the collection, analysis, and interpretation of data. These developments are not only reshaping statistical production processes but are also redefining the professional roles, competencies, and skill requirements of statisticians through the growing use of AI-based tools. Given that monitoring social and economic phenomena represents a core professional function of statisticians, there is a growing need to design and implement statistical surveys capable of measuring the extent to which AI tools are used within the business environment and labor markets. Such surveys should identify economic activities that rely on AI tools on a permanent, temporary, or intermittent basis. In this context, a Readiness Indicator can serve as a key metric to evaluate the preparedness of organizations and professionals to adopt AI tools effectively, providing a quantitative measure of their capability, infrastructure, and skill levels. However, existing questionnaires remain limited in their ability to comprehensively measure the characteristics, types, and domains of AI usage across economic activities, as well as the application of AI tools in data analysis, interpretation, and dissemination within official statistical agencies.Accordingly, the research problem arises from the need to develop robust statistical survey instruments to measure the use of artificial intelligence tools and related skills, as well as to construct a Readiness Indicator reflecting institutional and individual preparedness. This paper addresses several key research questions, including: What are the methodological and institutional requirements for conducting statistical surveys on AI usage, particularly in the context of the labor market? How does the use of AI tools influence data analysis and decision-making processes? What future skills will be required for professionals working in the field of statistics? What challenges and opportunities do AI present for the future of official statistics in light of rapid technological development? The paper aims to analyze the impact of technology and artificial intelligence on the business environment and labor market, contribute to identifying emerging skills required of statisticians in the coming years, and present a practical model of a statistical survey designed to measure AI-related skills among users in Egypt, including the development of a Readiness Indicator to assess adoption readiness.