But new data suggests that speculation about the outright demise of computer science graduates may be overblown.
“There’s a growing narrative that AI makes computer science obsolete, but it’s just not the case,” Meghji said. “AI isn’t killing computer science; it’s making it more essential.”
Still, strong salary projections don’t mean smooth sailing.
“We don’t need everyone to become a software engineer—far from it,” Meghji said. “But we do need to help young people build durable, cross-disciplinary skills: computational thinking, data literacy, systems thinking, and responsible computing.”
With the tightened job market remaining, differentiation is becoming more important than ever for entry-level applicants. And because AI has made it easier than ever to tailor résumés and cover letters, the bar is only rising.
According to Christine Cruzvergara, chief education strategy officer at Handshake—a career platform for early-career talent—young people should lean on self-evaluation and personalization.
Having a strong network and support system is just as critical, she added.
“You will question yourself, and you might second guess if you’re good enough,” she said. “You need folks that are going to be an honest reflection to you of what your strengths are, what your skills are, and, quite frankly, also tell you if you’re making mistakes at the same time.”
With the true future of work still unknown, Meghji said it’s important to have perspective.
“Don’t be fearful,” Meghji said. “The future of work is always evolving. Previous generations worried about automation, globalization, and the internet. What endures are the underlying knowledge, durable skills, and mindsets: how to think critically, collaborate, solve problems, and adapt. AI, in fact, makes those skills all the more critical.”
