Uploaded on Apr 22, 2025
let’s learn more about the top AI programming languages of 2025 that every leader should use as a building block for creating AI systems.
Top 9 AI programming languages everyone should know
START
AI programming languages
Top 9 AI programming
languages everyone should
know
Start with us
1
Quick summary
Wondering which AI programming languages will have the
big run in 2025? Well, discover the key players in AI
development, from C++’s high-performance capabilities to
JavaScript’s real-time AI applications. Learn about their
features, top use cases, and why they’re gaining global
popularity. Read the blog now and learn What makes these
languages the go-to choice for developers in 2025.
2
Python
Python is a high-performing and versatile programming language that
has steadily maintained its top position as the most loved language
amongst developers, and StackOverflow’s survey validates the same.
With more than 81% of developers using Python development services, its
readability, ease of use, and powerful libraries such as TensorFlow, Keras,
PyTorch, and Scikit-learn simplify machine learning and data analysis tasks
continue to dominate the AI ML development services market.
3
Scala
Because of Scala’s ability to manage intricate algorithms and stream data
at a large scale, it serves as an efficient, high-performing, and functional
programming language for managing complex tasks.
With libraries like Breeze, Spark MLlib, and Akka, Scala excels in large-scale
data processing and AI model development. Its popularity has grown,
especially in big data applications, with big enterprises like LinkedIn and
Netflix using Scala for AI.
4
Prolog
The declarative AI programming language Prolog excels in logic
programming, enabling developers to represent knowledge and resolve
complex problems using a set of rules and facts. Using libraries like SWI-
Prolog and Logtalk, it becomes the best-fit AI language for AI projects
that necessitate complex logical reasoning, pattern matching, and
knowledge representation, especially in applications such as natural
language processing and expert systems.
With its unique approach to solving problems through logical queries, leading AI and
ML development companies choose Prolog for AI research and academic settings.
5
Java
Java is an object-oriented, class-based programming language known for
its portability and scalability. Developers choose this language because of
its strong performance, platform independence, scalability, and extensive
libraries like Deeplearning4j, Weka, and MOA, which increase Java usage in
AI for data processing, machine learning, and neural networks. Java’s
global popularity is reflected in its ranking as one of the top 5
programming languages as per the Tiobe Index 2024.
6
Haskell
This purely functional programming language is widely known for its strong
static typic and lazy evaluation. Its strong type system makes it ideal for
developing complex AI algorithms where correctness and reliability are
crucial, particularly for projects involving advanced mathematics, logic,
and probabilistic modeling, allowing developers to represent complex AI
models with clean, readable code that closely resembles mathematical
equations; this is especially valuable in research-oriented AI applications
where rigorous verification is important.
7
Lisp
Lisp is one of the oldest AI programming languages, designed for symbolic
processing and list manipulation. Popular libraries such as Common Lisp
and SBCL support AI development, particularly in machine learning and
natural language processing.
Lisp gained popularity for its flexibility and efficient handling of symbolic
computation and remains influential in AI research, particularly in
academia and AI theory (source: TIOBE Index 2024).
8
C+
+
C++ is a powerful, high-performance programming language widely used
in AI for system-level programming, robotics, and real-time applications.
Libraries such as TensorFlow, Caffe, and Dlib offer robust tools for machine
learning and computer vision. Stackoverflow survey 2024 reveals that C+
+’s global popularity is driven by its speed and efficiency, particularly in
performance-critical AI tasks.
9
JavaScript
JavaScript is a dynamic, high-level programming language commonly used
for web development. In AI, it benefits from libraries like TensorFlow.js,
Synaptic, and Brain.js, enabling developers to build AI models directly in
the browser. JW3Techs 2024 research states that JavaScript’s popularity
skyrocketed due to its web capabilities, with over 95% of websites utilizing
it.
END
Original Source:-
https://www.agileinfoways.com/blogs/top-9-ai-programming-languages
For More Blogs:-
https://www.agileinfoways.com/blogs
Our Contact Details :-
+1 470-772-5053 Florida (Fort Lauderdale)
[email protected] 4905 NW 105th Dr, Coral Springs, FL 33076
Comments