With numerous use cases and possibilities, artificial intelligence has been making its way into the business world for a while now. But, the wide scope of artificial intelligence shows that we have only touched the surface of something much bigger than we can currently imagine. So, how can we understand all the benefits AI technology has for us?

To make the most of AI, it’s necessary to choose the programming language for this type of project. That’s why we’re bringing you the overview of the best five programming languages for artificial intelligence with all the important information you will need.

Keep in mind that each of these languages has its strengths and weaknesses and they have different features. So, when reading through our choices, make sure you think about which of these suit your requirements best.



If we’re to choose the best language and we could only choose one, it would definitely be Python. The reason why Python is so popular is the simple syntax that is used in this programming language. Moreover, this simple syntax enables you to spend more time planning the structure making Python ideal for Machine Learning processes.

Python has ready-to-use libraries, simple resting, programming oriented on objects, and also faster development. When it comes to artificial intelligence solutions, this is the best option for you.



Although Python is your go-to language for AI, the majority of the credit for what is happening with AI goes to this language program. LISP is the pioneer when it comes to usage for AI processes and is also a leading tool for companies using artificial intelligence.

If you’re keen on using this programming language, its potential lies in its usage for logical solutions. It’s also one of the safest programming languages so that’s why you can expect to see it with most organizations using AI in healthcare.



This programming language is a completely unique world designed by logic. Compared to the rest of the languages, Prolog has its own way of approaching an AI solution. It requires three important factors: rules, facts and desired results. Once all these requirements are provided, the programming language will work on the link between these three factors and design an AI solution for you.



If you decide to opt for C++ as your artificial intelligence programming language, that means you’ve probably looking for a language with good processing speed. When talking about AI processes, you will need all of these complex automated solutions to operate smoothly, and C++ is perfect for that. However, we must warn you that not many companies in AI will choose C++ as their preferred language due to its complex syntax and quite limited library range.

What attracts those companies that decide to give it a try is actually its cost-efficiency. This programming language will produce a very cost-efficient AI solution that fits your requirements comparing it to other languages on the market. Moreover, you can use it for OpenCV, one of the most used open-source libraries of computer vision.



As much as we’d recommend using Python as your programming language for AI solutions, we must say there are several reasons why JAVA is the most used language in the world. The biggest benefit of using JAVA as your programming language is Virtual Machine Technology also known as Java Virtual Machine.

Java Virtual Machine simplifies the implementation process which will save you both time and energy to produce the program over and over again. All you will have to do is to write and compile the program on one platform and it will be implemented on others. A downside you will need to be aware of when talking about Java, is its low processing speed.

How to Choose?

If you’re not quite sure which programming language you should choose for the AI solution you have on your mind, the good news is you don’t have to. You can reach out to an AI development company that will help you make that decision and create a strategy for you.

Depending on your budget, you can even have these professionals implement the entire strategy for you while you oversee the project and provide input when necessary. This way, you will be able to focus solely on your AI solution instead of the technical details it needs to become reality.