In the AI age, Java is more relevant than ever

The article argues Java is a strong fit for production AI in enterprise settings, not just a legacy business language.

Its JVM performance, scalability, and mature tooling make it well suited for cost-efficient, large-scale deployment.

New frameworks like Spring AI, LangChain4j, embabel, and MCP lower the barrier to model integration, RAG, and agent workflows.

Java’s readability and compatibility with existing enterprise systems help companies add AI without rebuilding their core stack.