المجلة الدولية للعلوم والتقنية

Artificial Intelligence (AI) plays a critical role in enhancing task performance across sectors such as healthcare, education, manufacturing, and agriculture. By utilizing advanced algorithms, machine learning, and data analytics, AI enhances the accuracy and speed of task execution. This study compares AI-powered techniques with traditional task management methods, including rule-based systems, manual processes, and heuristic algorithms. While AI excels in handling complex, data-intensive tasks with higher accuracy and efficiency, traditional methods remain valuable due to their simplicity, transparency, and lower resource requirements. This work explores the strengths, limitations, and practical applications of both approaches across various industries by reviewing prior research and comparing their outcomes. It identifies areas where hybrid models may prove most effective. Furthermore, it highlights AI's contribution to improving efficiency and accuracy while demonstrating that integrating AI with traditional methods offers a strategic solution that combines speed, precision, and transparency. The study concludes with recommendations for guiding AI adoption and enhancing task performance strategies. It also suggests directions for future research to further develop both AI-supported techniques and traditional methods............... Keywords:.......... Artificial Intelligence, Traditional task management, Machine learning, Task scheduling algorithms.