AI refers to a machine that can learn, make decisions, and take action even when it encounters a situation it has never come across before. This is different from the traditional view of robots and computers with human-like intelligence, as well as narrow AI which has been trained to perform specific tasks but isn't generally intelligent. AIs are able to learn and solve complex problems, including those they haven't faced before, making them more intelligent than non-AI computer programs. Machine learning is a key component of AI, where computers pull out information from data they're trained on and develop new information based on it. Generative AI can generate new content from inputs based on training data, while natural language processing allows AIs to understand, classify, analyze, reply to, and even translate regular human communication. Computer vision enables AIs to see and interpret the physical world, while robotic process automation uses AI to execute basic tasks that humans would otherwise handle. As AI becomes more prevalent, it's essential to distinguish between machine learning and AI, as well as narrow AI and artificial general intelligence. With its benefits including saving time and energy, promoting creativity, and increasing customer satisfaction, AI is poised to change the way we work and interact with technology.