The rapid evolution of Artificial Intelligence (AI) has transformed the operation of drone swarms from human-controlled formations into autonomous, decentralized systems capable of collective intelligence. Inspired by natural phenomena such as bird flocks or fish schools, drone swarms act as multi-agent systems where each unit follows simple local rules, producing complex global behavior without centralized control. This paradigm shift unlocks scalability, resilience, and efficiency previously unattainable by traditional single-drone systems. The goal of this research is to analyse how AI methodologies enable intelligent coordination, autonomous decision-making, and cooperative mission execution in drone swarms, demonstrating measurable advantages in efficiency, adaptability, and reliability across military, civil, and humanitarian domains and to prepare for development of architectural solution of a control system for swarms of drones.