Quantum computing is considered one of the most promising emerging technologies expected to revolutionize computing and Artificial Intelligence. Unlike classical computers that rely on binary bits, quantum computers use qubits, which leverage superposition and entanglement to perform parallel computations at an unprecedented scale. This capability offers the potential to dramatically accelerate complex computational tasks. In the field of AI, quantum computing may significantly enhance optimization algorithms, machine learning processes, and large-scale data analysis. Problems that currently require extensive computational time could be solved more efficiently using advanced quantum algorithms. Quantum-enhanced machine learning models may also improve performance in tasks involving large search spaces and high-dimensional data. Despite its potential, quantum computing is still in its experimental stages and faces technical challenges such as stability, error correction, and hardware scalability. However, ongoing research suggests a future integration between quantum computing and AI, commonly referred to as Quantum AI, which could transform scientific and industrial problem-solving. Studying the future impact of quantum computing on AI algorithms represents a promising research direction, with potential applications in healthcare, finance, cybersecurity, and beyond.