Now corporations are scrambling to not be left behind in the AI race, opening doors for newer programmers with a solid grasp of the fundamentals as well as knowledge of how to work with generative AI.

Building artificial intelligence into your software requires a certain skill set, and on that note, an adjacenct tech stack, for development to run smoothly.

Programming Languages for AI 

Python, the most popular and fastest-growing programming language, is an adaptable, versatile, and flexible language with readable syntax and a vast community.

1. Python

Java, with its object-oriented structure, is the cello that resonates with reliability and efficiency. It’s the language that brought AI development into the enterprise space.

2. Java

C++ is a fast and efficient language widely used in game development, robotics, and other resource-constrained applications.

3. C++

JavaScript is a pillar in frontend and full-stack web development, powering much of the interactivity found on the modern web.

4. JavaScript

Lisp is the second-oldest programming language, used to develop much of computer science and modern programming languages.

5. Lisp

R can be your shining light in an otherwise dark tunnel. In terms of getting your numbers straight, it’s actually better than Python.

6. R Languages 

Julia is a newer language with a small yet rapidly growing user base that’s centered in academic computing.

7. Julia

Scala is a user-friendly and dependable language with a large community but can still be complex to learn.

8. Scala

Go was designed by Google and the open-source community to meet issues found in C++ while maintaining its efficiency.

9. Go

Developed by Apple and the open-source community, Swift was released in 2014 to replace Objective-C, with many modern languages as inspiration.

10. Swift