Introduction. Companies in the real sector of economy are actively seeking new technologies that can minimise routine tasks and support management decision-making. Generative Artificial Intelligence (GenAI) is becoming a promising tool for solving these tasks and receiving a quantitative economic effect. Of interest then are the companies in the real sector, which have already implemented these technologies and have received a tangible economic effect.
The aim of the research is to assess the quantitative economic effect of training employees of a financial company to use GenAI technologies and to integrate them into professional activities.
Methods. The study analysed the results of a survey of employees of Finam JSC before and after training in GenAI technologies. Standard statistical methods were used to analyse the data.
Results. The statistically based results of the study allowed us to identify and specify practical tasks for which generative AI can be used, confirm the hypothesis that there is a quantitative economic effect from its application, and predict the consequences of its widespread use in a financial company.
The scientific novelty of the study lies in the empirical confirmation of the economic benefits of using GenAI within a particular company. The study provides data on the impact of GenAI training on employee productivity, which is a relevant and little-studied aspect in Russian realities.
Practical significance. The results obtained can be used to develop practical recommendations for the implementation of GenAI in the activities of companies in the financial sector.