Java Usage on the Rise in AI Development, Azul Survey Report Reveals Trends

Wedoany.com Report on Feb 12th, A recent survey of over two thousand Java developers indicates that the adoption of Java in AI application development is steadily increasing. Survey data shows that 62% of respondents rely on Java for AI-related development, a significant increase from 50% last year.

Conducted between September and November 2025, the survey covered more than 2000 Java technology users. The results show that AI capabilities are gradually being integrated into Java-based enterprise systems, with an increasing number of AI libraries available to developers. Among them, JavaML is the most widely used, with Deep Java Library and OpenCL also ranking as commonly used tools. Approximately 31% of respondents stated that more than half of the code they write already contains AI-related functionality.

Regarding the choice of Java distribution, 81% of participants have completed, are in the process of, or plan to migrate from Oracle Java to non-Oracle OpenJDK distributions, with 92% of the migration drivers stemming from concerns over Oracle Java's pricing model.

In terms of AI programming assistance tools, OpenAI's ChatGPT remains the most popular, followed by Google Gemini Code Assist, Microsoft Visual Studio IntelliCode, and GitHub Copilot.

The survey also revealed that the JDK 25 Long-Term Support version, released in September 2025, has been adopted by 18% of developers; 64% of respondents said more than half of their workloads run on Java or JVM environments; 43% reported that Java-related workloads account for more than half of their enterprise cloud computing bills; and another 63% of developers believe that dead code in their codebase negatively impacts DevOps efficiency.