What Are the Best Programming Languages for AI Development?

Businesses are continuously seeking out improved Artificial Intelligence (AI) solutions to implement. According to a report from International Data Corporation (IDC), the AI market is anticipated to have a Compound Annual Growth Rate (CAGR) of 17.5%, generating a total revenue of $554.3 billion by 2024. This would result in a market worth of more than $500 billion. Nevertheless, the initial step to create effective solutions is to select the most suitable programming languages for AI software.

This article will list the top ten programming languages for AI development in 2022.


Python is a powerful, high-level programming language renowned for its versatility and application in Artificial Intelligence (AI), Machine Learning (ML), Data Science, Web Applications, Desktop Applications, Networking Applications, and Scientific Computing. As one of the most popular programming languages in use today, Python offers a wealth of features and capabilities to developers looking to create applications for a wide range of purposes.

Python’s specialist libraries include Keras, Pytorch, Scikit-learn, MXNet, Pybrain, and TensorFlow, making it an excellent choice for AI projects.

Furthermore, Python is an excellent choice for developing natural language processing (NLP) and artificial intelligence (AI) applications, as it offers powerful text processing capabilities, an easy-to-follow syntax, and a modular scripting approach.

Python is renowned for its simplicity and accessibility, making it an ideal language for novice coders to acquire. Its code is highly legible and succinct, as well as being intuitive and straightforward; these qualities allow people to quickly and easily understand the code and apply it to their own needs. Additionally, the Python community is vast and passionate, with an abundance of helpful resources and a welcoming environment for collaborators, users, and admirers.

Python is used by Google, NASA, Amazon, Instagram, Reddit, JP Morgan Chase, Intel, IBM, Netflix, Facebook, Pinterest, and many other companies.


Best programming languages for AI development

Lisp (historically stylized as LISP) is a popular programming language for artificial intelligence.

In 1958, the programming language Lisp was developed, drawing its name from one of its initial applications, ‘List Processing’. By 1962, Lisp had advanced considerably, allowing it to tackle complex Artificial Intelligence (AI) problems.

Despite the complexity of its syntax and the high cost of its libraries, Lisp is still an effective language for developing software today. It is particularly well-suited for Artificial Intelligence (AI) projects, offering a range of advantages that other languages do not. These include the ability to quickly develop prototypes; accurate garbage collection and memory management; and powerful macro capabilities that allow for rapid, flexible programming. Additionally, Lisp has been widely used in AI research, enabling developers to build complex algorithms and models with ease. Ultimately, Lisp is a robust language that has proven to be an invaluable tool for AI development.

  • Prototyping in a hurry
  • Creating dynamic objects
  • Data structure execution as a program
  • Changing programs as data
  • Garbage collection is required.


Java is a widely used server-side programming language used in the development of artificial intelligence applications. It is renowned for its custom virtual machine, making it the preferred language for development on a myriad of platforms. Furthermore, Java is the language of choice when it comes to developing applications for the Android platform.

Android applications which have been developed with the Java programming language and incorporate artificial intelligence technology include the popular messaging app Snapchat, the face-modification application FaceApp, and the widely used Google Lens. Java also offers many machine learning libraries that offer capabilities beyond those of mobile applications, including:

  • Deep Java Library
  • Cubeflow
  • OpenNLP
  • Java Machine Learning Library
  • Neuroph


Best programming languages for artificial intelligence development

C++ is a long-standing low-level programming language. C++ is good for hardware and machines, but not for modern conceptual software.

Due to its capacity for low-level programming, C++ is highly suited for the development of basic artificial intelligence (AI) models. For instance, developers often employ C++ to construct neural networks from the ground up and to convert user-generated programming into code that is legible to machines.


R is a widely-used programming language for Artificial Intelligence (AI), appreciated by both beginners and advanced statisticians alike. While it may not be the most suitable language for AI development, it is exceptionally effective for performing intricate calculations.

Artificial Intelligence (AI) and Machine Learning (ML) heavily depend on extensive data and its efficient analysis. As such, software developers often turn to the programming language R to effectively process and represent this data in useful and meaningful ways. In the field of statistics, R is usually seen to outperform its rival Python in terms of accuracy and functionality.


Prologue is a declarative programming language widely used in the field of natural language processing (NLP) and computational linguistics. It is the ideal choice for tasks such as symbolic reasoning, database applications, language parsing, and natural language processing due to its ability to represent and reason about knowledge in an intuitive and efficient manner. Prologue is known for its capability to express and prove complex logical statements, making it a powerful tool for solving problems.

Despite its lack of use in commercial applications, Prologue is anticipated to make a comeback in 2022 due to its importance in the development of expert systems, theorem proving, type systems, and automated planning.


Haskell has a number of sophisticated features, such as type classes, which allow for type-safe operator overloading.

Haskell is a programming language that has become increasingly popular in educational research, due to its ability to support Lambda expressions, pattern matching, type classes, list comprehension, and type polymorphism. Moreover, Haskell is well-regarded as a safe programming language for Artificial Intelligence (AI) applications, as it offers exceptional versatility and the ability to handle errors in a reliable manner.


Best programming languages for artificial intelligence development

Wolfram provides its users with rapid and efficient processing capabilities. With over 6,000 built-in functions dedicated to symbolic computation, functional programming and rule-based programming, Wolfram is an ideal tool for handling arbitrary data and structures.

Wolfram Language, a popular computer algebraic system, is renowned for its capacity to perform intricate mathematical operations and extensive natural language processing processes. Its features have made it a go-to choice for those needing to complete challenging mathematical tasks or carry out complex natural language processing.


Julia, a relatively new programming language for artificial intelligence, is rapidly becoming recognised as one of the premier languages within the field. Despite its youth, the Julia community is growing rapidly and its consistent high ranking is a testament to the language’s capabilities and potential.

Julia’s recognition as a programming language is due to its interactive user interface and powerful tools for data visualisation. Additionally, Julia is renowned for its effective memory management, debugging capabilities, and ability to perform metaprogramming.

Julia programming language provides direct support for C functions, a dynamic type system, and parallel and distributed computing capabilities. Additionally, Julia offers several premade models, algorithm assistance, and packages for probabilistic programming, such as:

  • MLJ.jl
  • Flux.jl
  • Works.jl
  • Metalhead


Rust is a general-purpose programming language designed to offer a high degree of abstraction. Its syntax is similar to that of C++, yet it is able to provide memory safety without the need for garbage collection and supports optional reference counting.

Rust is an advanced programming language that has gained immense popularity in the AI development sector as a result of its many benefits. It provides enhanced performance, speed, security, and concurrency, which makes it an ideal choice for developing large-scale software. With its unique features, Rust has become one of the most sought-after languages for AI programming.

Rust is used by Firefox, Dropbox, Yelp, npm, Cloudflare, Azure, Deno, Discord, and Polkadot.

Last thoughts

Artificial Intelligence (AI) is no longer a passing trend; it is becoming increasingly ubiquitous in a wide range of applications, from autonomous vehicles to grammar correction. This widespread utilisation of AI has created a fertile environment for companies to explore new opportunities for leveraging AI in their operations.

Table of Contents
Join our community of the world's best developers and designers on FacebookSee our recent updates on principal of designs and best UX practices on TwitterGet in touch with us to hire top skilled software engineers and programmers on Linkedin

Join the Top 1% of Remote Developers and Designers

Works connects the top 1% of remote developers and designers with the leading brands and startups around the world. We focus on sophisticated, challenging tier-one projects which require highly skilled talent and problem solvers.
seasoned project manager reviewing remote software engineer's progress on software development project, hired from Works blog.join_marketplace.your_wayexperienced remote UI / UX designer working remotely at home while working on UI / UX & product design projects on Works blog.join_marketplace.freelance_jobs