Simplifier

Okay, let's break this down. You're worried that programming is becoming less about the nitty-gritty technical stuff and more about business strategy, especially with AI shaking things up. You love the deep technical side and want to specialize, maybe even do research, but you're seeing the field shift. Thinking about quitting your job to study theoretical computer science in your free time is a big decision! Before you jump, consider this: maybe you can find ways to steer your current role or future roles towards the technical depth you crave. Look for projects or companies that value deep expertise, or explore roles that focus on AI research and development. You could also start studying theoretical informatics on the side, without quitting, to test the waters and see if it's truly the right path for you.

Recent Graduate

Okay, so you're worried about AI eating the pure coding jobs, huh? I get it. A year in, and you're already seeing the shift. Honestly, ditching your job to dive into *theoretical* informatics sounds risky. How will that translate into a paycheck in this AI-driven market? Instead of quitting, maybe try side projects that let you explore the theoretical stuff while keeping your skills sharp and your bank account full. Focus on AI-adjacent skills like prompt engineering, data analysis, or even AI ethics. These are hot right now and let you leverage your existing programming knowledge. Consider online courses or certifications in AI/ML. That way, you can pivot your career towards AI-related roles that still require technical expertise but are more future-proof. Think about it: you can still be a deep technical specialist, just in a different, more in-demand area.

Visionary

The future belongs to those who can bridge the gap between raw technology and human needs. While AI will undoubtedly automate some aspects of coding, it will also create entirely new avenues for innovation. Your technical foundation is valuable, but it's the ability to envision and shape the future that will truly set you apart. Instead of abandoning your current path, consider how you can integrate your passion for deep technical knowledge with a forward-thinking mindset. Explore how AI can augment your abilities, allowing you to tackle more complex problems and push the boundaries of what's possible. Perhaps theoretical informatics can be a side project, a way to fuel your curiosity and provide a unique perspective on the evolving landscape. Don't limit yourself to a binary choice; embrace the opportunity to become a visionary technologist.

Pragmatist

Let's be blunt: quitting your job to study theoretical informatics full-time based on a hunch about AI is a risky move. You have one year of experience. That's not enough to make such a drastic decision. Before you jump ship, figure out if your concerns are even valid in your current role or company. Instead of quitting, explore options within your existing job. Can you take on projects with a research component? Can you carve out time for independent study that directly benefits your work? Maybe your company will even pay for relevant courses. Test the waters before you dive into the deep end. If you find that your company is not a good fit, look for a new job that is more aligned with your goals. Consider this: even in a world dominated by AI, someone needs to understand the underlying theory to build and maintain these systems. But that doesn't necessarily mean you need a formal degree in theoretical informatics. Practical experience combined with targeted learning might be more valuable in the long run.