The Struggle for New Graduates in Tech
Kenneth Kang, a computer science graduate with a near-perfect GPA, faced a harsh reality upon entering the job market. Despite applying for over 2,500 positions, he secured only 10 interviews. His story is not unique; many new graduates are finding it increasingly difficult to land their first job in the tech industry.
The Decline of Entry-Level Roles
Entry-level positions, once the gateway for fresh graduates to gain experience and training, are becoming scarce. AI automation is a significant factor, as it takes over tasks traditionally performed by junior employees, such as data cleaning and basic QA. This shift has led to a 50% decrease in hiring for new graduates among the top 15 tech companies since 2019.
The Ripple Effect of AI on Hiring Practices
Companies are now more selective, often expecting candidates to possess skills that were previously taught on the job. This change has also affected internship conversion rates, which have dropped to their lowest in five years. The situation is exacerbated by the hybrid work model, with in-person interns having better conversion rates than their remote counterparts.
Preparing for an AI-Driven Future
Experts warn that the current trend could lead to a skills gap in the future, as the pipeline for developing experienced professionals is weakened. There's a growing concern about how to prepare the next generation for a job market where AI plays a central role. Some suggest that new forms of education and training may be necessary to bridge this gap.
Graduates Taking Initiative
In response to these challenges, many graduates are taking matters into their own hands. Like Kang, who founded a startup to gain experience, others are forming groups to offer tech consulting services at low costs, building their resumes in the process.
The Bigger Picture
While AI is expected to create new jobs in the long term, the short-term disruption is causing significant stress for new graduates. The tech industry must find a balance between leveraging AI for efficiency and ensuring a steady flow of talent for future leadership roles.
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