A recent report by Azul, the 2026 State of Java Survey, reveals a significant surge in Java usage for AI development, with 62% of enterprises now employing Java for AI functionality, up from 50% last year. This trend highlights the critical role Java plays in scaling AI applications, as organizations transition from experimentation to production. While Python is known for rapid prototyping, Java excels in backend functionality, offering proven scalability, stability, and security. A notable 31% of respondents integrate AI into over half of their Java applications, leveraging mature Java-friendly libraries such as Java-ML and Deep Java Library. As the AI landscape evolves, companies prioritize features like long-term support and integration with large language models. The report also highlights a focus on high-performance Java platforms to reduce cloud costs. Overall, Java’s durability and strategic importance in AI development positions it as essential for modern enterprises.
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