Recent computer science graduates are facing increasing difficulties securing their first jobs, as a report by Oxford Economics has found an 8% decline in employment for new grads in computer science and math roles since 2022. This trend is linked partly to more employers adopting AI-powered coding tools that reduce demand for human programmers and change the nature of technical hiring.
Graduates commonly report applying to 150 jobs or more before receiving offers, with some having previous offers rescinded as companies adjust to automation-enhanced workflows. The traditional path from graduation to high-paying tech software jobs is becoming more competitive and uncertain. Many graduates express frustration over the mismatch between academic preparation and industry expectations that now prioritize AI competency and software automation skills.
The job market still demands technical skills in programming (especially Python, C++), data science, machine learning, and AI development, but applicants must also demonstrate agility with new AI tools. Specialists in machine learning engineering, data analysis, computer vision, and natural language processing remain highly sought after.
Top companies including Amazon, Microsoft, NVIDIA, Google, and Pfizer continue recruiting AI talent, but competition is fierce. Recent grads are encouraged to pursue certifications, internships, and continuous upskilling in AI-related fields to stand out.
While the field promises lucrative and impactful careers, new computer science professionals must navigate evolving industry dynamics and adapt to AI-driven changes in hiring and technical workflows.