Java Emerges as AI Powerhouse, But Oracle Pricing Sparks Exodus

Java Solidifies Its Leading Position in the AI Ecosystem

Java, one of the foundational languages of the software world, continues its rise in the artificial intelligence (AI) and machine learning field. The 2026 State of Java Report published by Azul demonstrates that Java has become the dominant choice, especially for enterprise-level AI workloads. According to the report, Java usage in enterprise AI applications has reached 62%, marking a significant 12% increase compared to last year. This data means that six out of every ten companies position Java technology at the core of their AI projects.

Performance and Cost Optimization Play a Key Role

The report also analyzes the fundamental factors behind Java's success. The efficient management of intensive AI workloads running on cloud computing infrastructures by high-performance Java platforms and their critical role in reducing operational costs are highlighted. Java's mature ecosystem, rich API (Application Programming Interface) libraries, and platform independence provide a reliable foundation for developing and deploying complex AI models server-side.

Java APIs offer developers ready-made solutions in hundreds of different areas such as disk operations, graphics processing, network communication, database connections, and security, enabling the rapid implementation of artificial intelligence applications. This proves that Java is an indispensable tool not only in traditional enterprise software but also in the most advanced technology-requiring fields.

Java SE: A Powerful Infrastructure Extending from Desktop to Server to AI

As emphasized by Oracle Türkiye, Java SE (Standard Edition) forms the foundation for developing and deploying powerful applications in desktop and server environments. The rich user interfaces, high performance, multi-threaded management, and reliability required by today's advanced artificial intelligence applications can be provided with Java SE. Furthermore, the deep integration of Java 8 and later versions with operating systems paves the way for standalone Java applications to run seamlessly.

Learning Resources and Investment in the Future

Java's dominance in the artificial intelligence field is also increasing interest in learning the language. As in the rest of the world, developers in Türkiye are consulting various resources to improve their mastery of Java. On internet forums and educational platforms, how to start with Java and which resources to follow are frequently discussed. Beginner-level books like "Java 入门 123" or more comprehensive works like "疯狂 Java 讲义" (Crazy Java Lectures) serve as references for those wanting to learn the language's fundamentals and advanced concepts. Video tutorials and practical coding exercises play a key role in transforming theoretical knowledge into skill.

In conclusion, Azul's report shows that Java successfully blends its solid legacy from the past with the technologies of the future. Java, vying for leadership in the AI race, continues to be the primary choice for enterprise technology decision-makers and software developers thanks to the performance, reliability, broad ecosystem, and mature infrastructure it offers. This trend indicates that Java's presence in AI-focused software projects will strengthen even further in the coming years.