Artificial intelligence is changing the way recent computer science graduates approach the world of work. It’s not about sudden job disappearances , but rather a transformation of entry-level roles in programming and development. What used to be “write, test, debug” is now done with AI tools that lend a hand, meaning that basic work is no longer the only determining factor.
Junior developers today face tasks that require creativity, critical thinking, and collaboration . Software architecture, interface design, systems integration, and ethical computing—all aspects that once seemed reserved for experts—are now essential even in their first professional experiences.
AI tools make work faster : while writing ten lines of working code a day used to be the norm, today we can do much more. But knowledge of the basics remains essential, because AI suggests the way but cannot completely replace human judgment.
Students already sense it.
A January 2024 survey of 1,250 students at two- and four-year colleges showed that many are already orienting their majors and career aspirations toward AI . Fourteen percent have even changed their major, while another 34% have felt at least some impact. The humanities remain less affected: only 7% report changes, compared to 22% in interdisciplinary disciplines.
Nearly three-quarters of those surveyed hope that universities will provide concrete help in preparing them to work with AI. Knowing how to write code isn’t enough: they want to understand how AI can be applied concretely in sectors such as healthcare, finance, energy, or logistics.
Universities are trying to adapt. They have introduced master’s degrees, specialized courses, and interdisciplinary programs, as well as courses addressing the ethical and social impacts of artificial intelligence. Some allow humanities students to gain practical knowledge of machine learning; others focus on direct experience through internships and partnerships with companies . The goal is clear: theory isn’t enough; real, marketable skills are needed.
Despite some economic uncertainty, IT remains one of the most lucrative sectors, especially for those developing skills in AI, security, data, and cloud. Artificial intelligence isn’t just eliminating jobs; it’s creating new ones.
Just think of agriculture: intelligent drones that monitor crops, diagnose pests and diseases with AI algorithms, and enable targeted interventions. Five years ago, these professionals didn’t exist; today they’re a reality, requiring a blend of skills in technology, data, and practical applications.
For teachers, the challenge is enormous.
They must balance teaching the basics— algorithms, data structures —with ever-changing technologies. And they must learn to keep up, because you can’t teach what you don’t really know.
The most thoughtful schools collaborate with industry professionals and update curricula in real time, preparing students for real-world jobs, both today and in the future.
In short, young developers can no longer simply practice coding. They must think, design, collaborate, and learn to coexist with AI, which is both an extra helping hand and a constant test of their abilities.
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