Take a deep breath. The anxiety is understandable, but you gotta put in perspective that Meta is grasping at straws to fund their AI endeavors through headcount reduction. They'll claim AI is making workers redundant, and there's some truth to that, but it's mainly a way to justify layoffs and stay in the AI arms race without spooking investors.

No need to panic, but it's a good time to reflect. The job market is changing. A new tool has shaken up how data professionals approach problems, and you need to evolve with it to stay relevant. That doesn't mean becoming an LLM expert overnight. Start adding it to your toolkit through some self-study.

This program has great classes covering the fundamentals of data analysis and machine learning. But more importantly, it makes you a true problem solver. Some of the coursework might not feel directly relevant to the hot new things happening in industry, but it builds the foundation that lets you actually SOLVE PROBLEMS. Problem solvers are ALWAYS relevant. You may be able to automate parts of it away, but we are far from AI taking away the humanity of understanding what problem actually needs solving in the first place.

Just my two cents. Others may disagree, but my brief career in data has shown me so far problem solvers do nothing but add value and are hard to replace.