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AI has changed how software is built. However, it hasn’t made programming languages irrelevant. The GitHub Octoverse 2025 report says TypeScript was the top language for GitHub projects in August 2025, and Python remained the most popular language for AI and data science tasks.
Apart from developer growth, the volume of public repositories grew significantly year-on-year. GitHub noted that these developers utilized more than 1.1 million public repositories. Here are programming languages that thrive with AI:
Python continues to anchor the AI landscape. Rather than writing core algorithms from scratch, developers leverage its massive ecosystem to handle complex data processing and model training. The language's dominance is clear in the numbers: it drew 2.6 million contributors in 2025 alone, cementing its status as the standard for both data science and automation.
TypeScript's rise mirrors the explosion of AI-generated code. By bringing static typing to JavaScript, it catches errors early and secures large codebases. This utility pushed TypeScript past both Python and JavaScript last August to become the most-used language on GitHub. The milestone followed a 66% surge in its user base, adding 1 million contributors in a single year and underscores a major shift toward typed languages for building AI software.
JavaScript is still going strong since most AI products require user interfaces. JavaScript is frequently used in chatbots, AI dashboards, browser extensions, SaaS tools, and web-based automation platforms.
JavaScript remained one of the world's most widely used programming languages, with 66% of all respondents using it on GitHub. This makes JavaScript a very relevant language to use when developing AI-powered web applications.
Enterprise adoption of Java is holding steady in AI. Java is still in use for backend systems, APIs, Android apps, and high-volume platforms at banks, insurance companies, telecom companies, and large corporations.
The language is important for its use cases aside from AI. Many companies aren't replacing their legacy systems; they're augmenting their current apps to include AI capabilities. Java experienced steady enterprise-driven growth, bringing the total number of contributors to approximately 174,705 over the past year, according to GitHub.
C++ is a crucial language in the field of AI, where performance is key. It is applied in the fields of inference engines, robotics, embedded systems, games, computer vision, high-performance computing, etc. When speed, memory control, and hardware-level optimization are issues, C++ is very useful.
In July 2026, TIOBE named C++ as one of the three most popular programming languages in the world, trailing Python and C. This indicates that languages with performance orientation still have good demand even in the era of AI.
C# is used in enterprise software, cloud apps, desktop apps, and game development, and continues to grow. It can leverage Microsoft's ecosystem with C#, such as Azure, and development tools for .NET, Visual Studio, and AI.
In 2025, C brought in approximately 136,735 contributors and saw a 22.22% increase compared with the previous year, GitHub said. It is a useful language for enterprise and interactive products relying on artificial intelligence, given its use in business applications and game engines.
Also Read: 10 Common TypeScript Mistakes Developers Make and How to Avoid Them
The programming languages that will thrive alongside AI are not only those used to build models. Python dominates AI development, while TypeScript and JavaScript dominate modern AI applications; Java is well-suited for enterprise use; C++ is used for systems that require performance; and C# is well-suited for Microsoft-backed and interactive systems.
1. Which programming language is best for AI development?
Python is widely considered the best language for AI development for its simple syntax and strong ecosystem. Libraries like TensorFlow, PyTorch, Pandas, NumPy, and Scikit-learn make it useful for machine learning, data science, and automation.
2. Why is TypeScript growing in the AI era?
TypeScript is growing since AI-generated code needs structure, type safety, and easier maintenance. Its static typing helps developers reduce bugs and manage large AI-powered applications more efficiently.
3. Is JavaScript useful for AI applications?
Yes, JavaScript is useful as most AI tools need web-based interfaces. Chatbots, AI dashboards, browser extensions, SaaS platforms, and automation tools often rely on JavaScript frameworks and runtime environments.
4. Why does C++ remain important with AI?
C++ remains important as it offers high performance, memory control, and hardware-level optimization. It is commonly used in robotics, inference engines, computer vision, gaming, embedded systems, and high-performance computing.
5. Should beginners learn Python first for AI?
Yes, beginners interested in AI should usually start with Python as it is easier to learn and has strong AI libraries. After Python, they can learn JavaScript, TypeScript, Java, C++, or C# depending on their career goals.
