The ecological impact of artificial intelligence in wildlife conservation includes enhancing data analysis, improving monitoring techniques, and informing management decisions. AI can process vast amounts of ecological data quickly, enabling researchers to identify patterns and trends in wildlife populations, habitat changes, and threats more efficiently. Machine learning models can predict animal movements and assess ecosystem health, while AI-powered drones and remote sensing technologies aid in monitoring and enforcement efforts. However, ethical considerations and potential biases in data handling must also be addressed to ensure effective conservation outcomes.