I'm starting a Computer Science program in about two weeks, and I'm feeling anxious after hearing that the field is changing too quickly, the job market is saturated, AI will replace programmers, and there may be no room for newcomers. I currently have only a basic understanding of Python and very little other programming experience.
For students and people already working in the industry: how accurate are these concerns? Is it still realistic for someone starting now to learn effectively, build meaningful skills, and eventually find a software-related job? I'm prepared to study consistently and work hard, but I'd like an honest perspective on whether that effort can still pay off and what I should focus on during the next few years.
5 Answers
The bar for entry-level jobs is higher now, and a basic course or short bootcamp usually won’t be enough on its own. That doesn’t mean beginners have no chance. It means you should treat school as a foundation and actively build experience alongside it: projects, teamwork, open-source contributions, internships, and networking. You don’t need to be the best programmer in the world, but being average and relying only on a diploma may make the search much harder.
The market is definitely tougher than it was a few years ago, but “dead” is an exaggeration. Companies still hire junior developers and graduates; there are simply more applicants competing for each opening. A degree by itself probably won’t be enough, so you’ll need solid fundamentals, useful projects, internships if possible, and the ability to explain what you built. If you’re willing to keep improving and stand out from the average applicant, there’s still a realistic path in.
The industry goes through hiring booms and layoffs, so some of what you’re hearing is normal economic cycling. AI and changing tools add uncertainty, but learning computer science fundamentals, problem-solving, systems, and how to work with new tools should remain valuable. Don’t try to predict exactly what the field will look like four years from now. Focus on becoming adaptable and genuinely competent.
Use the first part of college to find out whether you actually enjoy the work, not just whether it seems like a good-paying career. Start with your courses, then make small projects that force you to read documentation, debug problems, and learn beyond tutorials. A simple web app, automation tool, game, or data project can teach you a lot. Consistent curiosity matters more than already knowing a bunch of languages.
No one can promise what AI or the economy will do by the time you graduate. The same uncertainty exists in many careers, though. If you’re interested in the subject and willing to keep learning, starting Computer Science is not an irrational choice. Go in with realistic expectations: expect competition, expect to update your skills, and don’t measure your future by the loudest predictions online.

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