The paper addresses the possibilities of introducing artificial intelligence (AI) in the operation of construction equipment. Having as central point the use of autonomous drones for collecting operational data, the experimental study aimed to monitor a backhoe loader involved in the process of moving earth onto a construction site. The idea is to use an autonomous drone equipped with a high-performance video camera and location systems for continuously collect and record (or transmit) accurate data from the field. The research aims to obtain and structure the relevant datasets necessary for the future development of an algorithm capable of analyzing the operation of the bucket and the travel trajectory of the machine with the help of AI. The data collected covered parameters such as the duration of work cycles, downtime and the degree of use of the machine. This information constitutes a solid basis for further research aimed at introducing the use of AI for the purpose of monitoring and optimizing the performance of various construction equipment. The integration of AI algorithms based on data collected by autonomous drones has the potential to support managerial decisions, increase productivity, reduce consumption and contribute to reducing operational costs in the construction sector.