How AI Is Closing Entry-Level Doors for US Computer Science Graduates

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Once a ticket to six-figure salaries, signing bonuses, and stock grants, the US tech industry is no longer as welcoming to fresh computer science graduates. The rapid spread of artificial intelligence (AI) tools and large-scale layoffs have reshaped the entry-level job market, leaving many struggling to land their first role.

From a Golden Era to a Harsh Reality

In the early 2010s, political leaders and tech giants championed coding as a skill that would boost both personal careers and the national economy. Computer science enrollment more than doubled between 2014 and 2024.

But now, according to the Federal Reserve Bank of New York, unemployment among recent CS graduates is 6.1%—twice the rate for biology or art history majors. For computer engineering graduates, it’s even higher at 7.5%.

A New Hiring Process

Entry-level positions are often the first to be automated. Many companies now rely on AI systems to scan resumes, reject candidates, and even conduct initial interviews—often without human review.

In response, graduates are using AI tools to tailor resumes and automate applications. This has created an “AI loop,” where algorithms submit applications, and algorithms reject them—sometimes within minutes.

Stories of Broken Promises

• Manasi Mishra (Purdue University) applied for tech jobs for a year and got just one interview—from Chipotle.

• Zach Taylor (Oregon State) sent out 5,762 applications and was rejected from all.

• Audrey Roller (Clark University) received rejection emails only three minutes after applying.

These stories show how the once-guaranteed promise of a stable career through coding has shifted to a market that values AI literacy more than traditional programming.

The Shift Toward AI Skills

Tech leaders are pivoting fast. Microsoft has pledged $4 billion toward AI training initiatives, and national policies are beginning to emphasize preparing students for AI-related roles. The new message is clear—future success will depend less on “just learning to code” and more on learning to work with AI, understanding its tools, and updating skills continuously.

Conclusion

In 2025, the biggest lesson for aspiring tech professionals is this: technology will not always depend on human coding skills alone. Those who adapt to AI and keep their abilities up to date will move forward; for others, the once-open entry-level door may now be firmly shut.