The programming languages most commonly used for dealing with AI are:

Python: Python is the most popular language for AI and machine learning due to its simplicity and readability. It has a vast ecosystem of libraries and frameworks such as TensorFlow, Keras, PyTorch, Scikit-learn, and many more that facilitate AI development.

R: R is highly regarded in the data science community for statistical analysis and data visualization, making it useful in certain AI and machine learning applications, particularly in research and academic settings.

Java: Java is used in large-scale enterprise-level applications and has libraries like Deeplearning4j and Weka. It’s also used in big data technologies which are often integrated with AI.

C++: C++ is known for its performance and is used in AI projects where execution speed is critical. It’s often used in the development of game engines, real-time systems, and for implementing certain parts of AI algorithms.

Julia: Julia is gaining traction for its high performance in numerical and scientific computing, which is essential in some AI applications, especially in research.

MATLAB: MATLAB is widely used for numerical computing and has powerful tools for AI, particularly in academia and industries that require heavy mathematical computations.

Lisp: Lisp is one of the oldest languages used in AI. It’s known for its excellent support for symbolic reasoning and rapid prototyping.

Prolog: Prolog is used in AI for applications involving rule-based logical queries, natural language processing, and expert systems.

These languages have their own strengths and are chosen based on the specific requirements of the AI project, such as the need for rapid development, performance, integration with other systems, or specific libraries and tools.