What Is My Java Expertise Worth in an AI World?

Think about how much you’ve invested in becoming a Java expert. Years learning the language, mastering frameworks like Spring, understanding the JVM, and solving problems you could never have learned from a tutorial. Over time, that experience became part of your value as a developer.

Then AI learned to code.

When AI coding agents can navigate a codebase, write Java, generate tests, debug problems, and increasingly reason about architecture, you may be asking yourself: Was any of that investment wasted, or is the value of my expertise changing?

Drawing on a background in Developer Relations and tech career coaching, this session explores what these changes mean for your career. We will follow AI up the engineering stack, from syntax and frameworks to architecture, domain knowledge, judgment, and accountability.

At each level, we will ask: Where does your Java-specific expertise still create value? Where is that value changing? And what should you invest in next?

This is not a talk about AI replacing Java developers. It is about understanding the value of what you already know and making intentional choices about what you learn, strengthen, and invest in next.

Target audience: Java developers at all career stages, particularly mid-career and senior developers considering how AI changes the value of their accumulated technical expertise.

The session will explore which parts of Java expertise continue to compound, which may become less differentiating, and the implications for early-career developers if AI performs more of the work through which developers traditionally gained experience.

Attendee takeaway: Access to a Java-focused TLC4 career assessment, customized around Technology, Leadership, Career Growth, Commute, Compensation, and Culture to help attendees evaluate where they are today and where they want to invest next.

Preferred format: 45-minute conference session, including Q&A.