AI models are powerful tools, but they also have several limitations. They can sometimes generate incorrect information that sounds convincing, and they may not always have the most up-to-date knowledge. AI models also have limits on how much information they can process at one time, and using advanced models can become expensive. In addition, responses may be slow for complex tasks, and sensitive data must be handled carefully to protect user privacy. AI systems can also be vulnerable to security attacks, reflect biases from their training data, and produce outputs that require human review for accuracy. Finally, AI models are updated regularly, so their behavior and performance may change over time. Understanding these challenges helps developers build more reliable, secure, and effective AI applications.