Will Java Overtake Python in AI Development? Insights and Predictions

In recent years, Python has solidified its position as the leading programming language for AI, topping the TIOBE index since October 2021 and becoming the most popular language on GitHub in the 2024 Octoverse report, surpassing JavaScript.

Python's simplicity and extensive ecosystem have made it the default choice for deep‑learning frameworks such as TensorFlow and PyTorch, as well as for data‑science and machine‑learning tools.

However, Azul Systems' Vice‑CTO Simon Ritter predicts that 2025 will be the last year of Python’s dominance in AI, forecasting that Java could overtake Python within the next 18‑36 months for enterprise‑grade AI applications.

The article outlines Python’s limitations: while its ease of use attracts many AI practitioners, its performance bottlenecks become apparent at large scale, where Java’s strong typing, memory safety, and mature core libraries may offer better throughput.

Ritter highlights Java initiatives such as Project Panama (simplifying native library calls), Project Babylon (enabling direct GPU usage), Project Valhalla (value types for efficient memory), and Project Amber (enhanced data‑modeling), all aimed at closing the performance gap.

Survey data from Azul shows that 99% of global enterprises use Java, with nearly 70% reporting that more than half of their applications run on the JVM, and 50% of developers choosing Java for AI features, citing scalability and robust library support.

Industry analysts are divided: IDC analyst Arnal Dayaratna believes Java can become the mainstream AI language, while Omdia’s Brad Shimmin argues Python’s rich ecosystem and ongoing performance improvements will keep it ahead, especially for rapid prototyping.

Oracle’s senior vice‑president Georges Saab emphasizes ongoing Java innovations—Project Babylon for GPU programming, Project Valhalla for efficient data handling, and Project Amber for intuitive modeling—positioning Java as a viable platform for AI workloads within existing enterprise codebases.

The article concludes by questioning whether Java will indeed surpass Python in the near future, noting that while Java’s enterprise strengths are compelling, Python’s entrenched community and tooling continue to make it the preferred language for many AI developers.