“Every kid with a laptop thinks they’re the next Zuckerberg, but most can’t debug their way out of a paper bag,“ Michael Ryan told Newsweek. The wry, if pungent, observation underscores a contradiction now facing one of higher education’s most sought-after fields: computer science majors are entering a job market in which their unemployment rate, at 6.1 percent, is higher than any undergraduate field except a handful while their skills are theoretically more transferable than ever.
According to the urgings of the Federal Reserve Bank of New York, computer science ranks seventh in college majors whose worst unemployment rates come next to physics (7.8 percent) and anthropology (9.4 percent). It is much ahead of fields like civil engineering and nutrition sciences, whose rates are as low as 0.4 percent. That information, gleaned from the 2023 Census and analyzed by the New York Fed, presents a harsh reality: The number of computer science graduates now greatly exceeds the current demand for entry-level positions.
It wasn’t always so. A tech hiring boom was stimulated by the COVID-19 pandemic as companies rushed to go digital and keep up with increased online demand. Computer science then became the most funded major in the United States, since the Princeton Review ranked it as number one for students attending college. But once the dust had settled, everything changed. Large firms like Amazon, Meta, and Google collectively laid off over 400,000 workers across the globe during the time of 2022 to 2023, a decline equivalent to approximately four percent of the entire tech industry workforce, according to the report by CompTIA’s CyberStates. These kinds of layoffs, though not unique to the history of the tech sector, have had the young graduates compete amongst themselves, but also with the veteran professionals who find themselves jobless overnight.
The example of Annalice Ni, a University of Washington alumna who spent her summers as an intern at Microsoft and Facebook and then landed a top software engineering job at Meta only to be fired several months later gives voice to the insecurity faced by new arrivals. I did feel very frustrated and disappointed and maybe a bit scared because all of a sudden, I didn’t know what to do, Ni told The New York Times. Her journey is that of thousands of others who walked the battered route of internships, coding bootcamps, and side projects, only to realize that the tried-and-tested playbook no longer results in security.
Why are computer science majors being laid off in droves? The answer is multifaceted. For one, the CS boom has created a surplus of candidates. As Michael Ryan explained to Newsweek, “We created a gold rush mentality around coding right as the gold ran out. Companies are cutting engineering budgets by 40 percent while CS enrollment hits record highs. It’s basic economics. Flood the market, crater the wages.” Second, the character of entry-level technical jobs is itself evolving. Bryan Driscoll, an HR consultant, told Newsweek how “entry-level roles are vanishing, unpaid internships are still rampant, and companies are offshoring or automating the very jobs these grads trained for.“
Automation and artificial intelligence have formed a part of this retrenchment. As Forbes has noted in late 2024, companies are not just automating repetitive coding tasks but are also restructuring teams to focus on AI products. Technical work traditionally performed by recent graduates is now more easily optimized or automated by AI, and even top performers at elite universities are going unoffered. In this environment, simply listing “AI” on a résumé is no longer boasting; employers scrutinize whether or not projects demonstrate true real-world complexity and relevance.
Besides technical skills, a 2022 survey of employers showed an enduring gap between what one learns in school and what business requires. Mastery of programming languages and algorithms is merely the beginning. Companies now expect proficiency with industry-grade toolchains e.g., GitHub for versioning and AWS for cloud hosting and large, multi-developer codebases. Softer skills of communication, teamwork, and problem-solving are as important as technical skills these days. As Jason Dupre, a Command Master Chief in the United States Navy, once stated in a recent industry report, “communication skills are as important as knowledge of the technical domains of the profession.”
Meanwhile, the general tech employment market is stabilizing and increasing selectively. Sectors such as fintech, cybersecurity, health technology, and cloud computing, per Skillcrush’s 2024 forecast, are rapidly growing. The U.S. Bureau of Labor Statistics predicts a 15 percent increase in cloud computing employment and a 35 percent surge in cybersecurity employment by 2031. However, these roles demand not only core knowledge but also specialist skills such as app security, data analysis, machine learning, and cloud architecture beyond what they may have learned at the undergraduate level.
For newcomers, the employers’ message is clear: depth over breadth. As noted by Christopher Woodall, a machine learning engineer, Whereas programming and technical skills are table stakes, having an understanding of the ethical considerations and domain-specific issues are equally important. In practical terms, this means that the ability of a candidate to convey real-world experience through internships, open-source projects, or real-world artificial intelligence projects is as valuable as their GPA.
The competitive market has also prompted others to question the long-standing advice for potential tech hires. Computer science majors have been sold a fantasy that is not reality, Driscoll told Newsweek. Pick the ‘right’ major, work hard, and you’ll get a stable, well-paying job. But just as in most majors and associated careers, reality bites too many graduates, too few jobs, crippling student debt, and a marketplace that cares more about pedigree than potential.
While the technology turbulence is not new a collapse of dot-coms and the financial crisis in 2008 each produced contractions followed by expansion the cycle is historic in terms of the velocity of technological changes and the increasing complexity of employer requirements. For today’s computer science graduate, getting hired is not only about technical skills but flexibility, constant learning, and a willingness to acquire hands-on experience outside the classroom.
