The article presents data on the state of total electricity losses and the norms of electricity losses in the electric networks of the Republic of Uzbekistan. The problem of calculating electricity losses has been worrying power engineers for a very long time. Today, there are not enough sources for determining and calculating electricity losses. Due to the complexity of calculating losses and the presence of serious errors, special attention has recently been paid to the development of methods for standardizing electricity losses. Therefore, the topic of analyzing electricity losses in regional electric networks and developing measures to reduce them remains relevant.

The article clarifies the concept of loss as an object of accounting in order to improve the accounting of expenses associated with the supply of electricity, as well as to identify and assess electrical losses, to fully objectively and systematically reflect them in accounting. It is disclosed that the losses in the economic system of the energy supply organization should be understood as the loss of the asset that exists in the organization, and the cost of sales should be understood as the expenses of the organization. When analyzing losses associated with delivery, the scientific basis for dividing them into more detailed direct losses and inefficient costs is given.

This article examines the role and impact of artificial intelligence and automation on the economy. The process of automation and the development of artificial intelligence technologies may lead to shifts in the workforce and potential economic revolutions. However, these processes may not only create new job opportunities but also lead to job losses in certain sectors. The article discusses the economic and social aspects of automation, the loss of jobs, and the creation of new opportunities.

Fire risk management in residential buildings is a critical aspect of ensuring safety and minimizing loss of life and property. This study explores the theoretical and methodological foundations of fire risk management by examining key components, including fire risk theories, advanced methodologies, human behavior, building design, and regulatory frameworks. Technological innovations such as IoT-enabled fire detection systems and AI-driven predictive modeling are identified as transformative tools for proactive risk mitigation. The role of community engagement and fire safety education in reducing fire incidents and fatalities is also emphasized.