APPLICATION OF AI IN PROGRAMMING SKILLS FORMATION AND ECONOMIC DATA PROCESSING

Abstract

In the context of the digital transformation of the Ukrainian economy, the demand for specialists equipped with applied digital skills – particularly in programming and the processing of economic information – is steadily increasing. AI technologies offer new opportunities for automating routine operations, conducting complex analytical tasks, enhancing the accuracy of forecasts, and improving the efficiency of managerial decision-making. However, the effective use of AI is not possible without active human involvement. Therefore, economists must possess at least a basic understanding of programming, algorithmic thinking, and data handling skills.

The purpose of this study is to substantiate the relevance and outline the directions for employing artificial intelligence technologies to foster applied skills in programming and the digital processing of economic information among economic professionals, particularly in the context of Ukraine’s ongoing digital transformation.

The results of the study identify a set of modern digital competencies that are essential for economists. These include data analytics programming, economic data visualization, machine learning, working with big data, writing SQL queries for economic databases, financial modelling, business process automation, AI tool utilization, cyber hygiene and data protection, as well as the use of cloud-based platforms. The study also presents relevant tools for implementing these skills, along with information on their cost and accessibility in Ukraine. A list of widely used AI-based platforms and applications that support the development of programming and economic data processing skills is provided. The study includes examples of how these skills can be developed through specific academic disciplines taught at Vasyl’ Stus DonNU. It also highlights the importance of establishing digital literacy training centers for practicing economists, particularly within the framework of adult education. Key challenges facing the development of digital and programming competencies in domestic higher education institutions are identified. These include an underdeveloped material and technical infrastructure, limited access to up-to-date AI tools, insufficient digital competence among faculty members, the absence of a comprehensive methodology for teaching digital skills, constrained curricular time, low levels of student motivation, and inadequate integration of AI technologies into university programs. The paper concludes with proposed strategies to address these challenges and ensure the effective integration of AI-driven learning in economic education.