I spent hours researching this because choosing a tech career in 2026 is not a vibes-based decision anymore. In this video I break down which roles are growing, which are declining, and—most importantly—which paths are more “AI proof”, stable, and high ceiling. If you’re already in tech and thinking of pivoting, or you’re a CS student staring at a million options, I walk through the trade-offs so you can pick something that actually suits your personality and the kind of work you want to do 40 hours a week. I cover machine learning engineering (highest ceiling, brutal barrier to entry), software engineering (still amazing, but shifting hard toward product thinking + working with LLMs), and AI engineering (turning models into real products without needing to be a research scientist). I also talk cyber security (especially cloud security), product management (soft skills + stakeholder wrangling), and cloud engineering (stable, unsexy, always needed). Then I share the two biggest money levers for “normal people” in tech: people management and sales (including sales engineering). My main takeaway: don’t just chase what’s trendy—pick what you enjoy, then make sure there’s demand and commit.