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AI makes specific languages largely less important than the systems they operate in.
For example, TypeScript is popular for web dev, but TS is used within specific frameworks/runtimes/environments that fill specific requirements and services. You'd use TS in nextjs for consumer facing web apps, or TS on nodejs to build a CLI/web server.
The fact you learned TS matters less and is almost inferred if you know nextjs. If AI writes the code, your job is making sure how it wrote it won't break the system (or systems) as a whole.
This is just one example, but applies to the entire field nowadays.
I appreciate that insight, so based off that notion, I assume it would still be worthwhile to learn the programming language right? Considering you have to know it and be able to verify the code AI is returning will actually work correct?
I agree that the bigger trend is less about “one perfect language” and more about learning the ecosystem you want to work in. That said, I’d recommend brushing up on TypeScript/JavaScript for web development, Python for automation/data/AI-adjacent work, SQL because almost every business system touches data, and either Java or C# for enterprise environments.
For someone coming from IT Service Desk, I’d also lean into your advantage: you already understand users, troubleshooting, tickets, systems, permissions, workflows, and production support. That translates well into dev work. Build 2–3 portfolio projects that solve real operational problems, put them on GitHub, and be able to explain the business problem, your tech stack, and how you tested/deployed it.
The market is also moving heavily toward TypeScript and AI-assisted development. GitHub’s 2025 Octoverse reported TypeScript moving to #1 on GitHub, with Python still extremely strong, while Stack Overflow’s 2025 survey continues to show strong demand around Python, JavaScript/TypeScript, SQL, Rust, and Go. � �
The GitHub Blog
Stack Overflow Insights
My practical path would be: TypeScript + React/Next.js, Python, SQL, Git/GitHub, APIs, testing, and cloud basics. Then apply for junior developer, QA automation, technical analyst, application support engineer, or internal tools roles as a bridge back into software development.