Computer science was supposed to be the safe bet. For more than a decade following the 2008 recession, the message to American students was unambiguous: learn to code, land a six-figure salary, and ride the tech boom to financial security. Now, as artificial intelligence rewrites the rules of software development at breathtaking speed, that calculus is collapsing -- and nowhere is the fallout more visible than in Texas.

Admissions to computer science programs across Texas universities have fallen roughly 20 percent, mirroring a broader national rout that has made CS the steepest-declining field of study in American higher education. According to the National Student Clearinghouse, enrollment in computer and information science programs dropped 8.1 percent nationally in the 2025-2026 academic year, with pure computer science majors plummeting 11.2 percent. A Computing Research Association survey found that 62 percent of 130 participating universities reported declining CS enrollment this year.

The numbers tell a story of an industry in convulsion. Software development job postings have plunged since a 2022 hiring boom, according to data from Indeed and the Federal Reserve Bank of St. Louis. Recent CS graduates now face 7 percent unemployment -- higher than graduates in communications, history, and liberal arts, according to the Federal Reserve Bank of New York. At companies like PayPal, entire engineering teams have been hollowed out as AI tools demonstrate they can produce clean, functional code in seconds rather than weeks.

"The students are anxious, the faculty are anxious -- it is a natural human tendency when things are uncertain," said Peter Stone, chair of the computer science department at the University of Texas at Austin, in an interview with the Texas Tribune.

That anxiety is not abstract for students like Vivian Tran, a senior at the University of Texas at San Antonio and president of the campus ACM chapter, who submitted 250 internship applications before finally landing a position at Uber. "On one end, there are people that just focus on the degree," Tran told the Tribune, "but obviously that is not cutting it anymore."

The trigger is clear. Microsoft and Google have publicly stated that roughly 30 percent of their code is now generated by AI, and Meta is targeting 50 percent this year. Entry-level coding tasks -- the traditional on-ramp for junior developers -- are increasingly automated, shrinking the pipeline that once absorbed tens of thousands of new graduates annually.

Parth Patki, a spring 2025 UT Austin graduate who now works as a machine learning engineer at PayPal, watched AI reshape his workplace in real time. After his company laid off approximately half the software engineers in his office, he spent two months applying to an average of 25 jobs per day before receiving just two interview callbacks. "The amount of time for AI to do the same thing that I was doing, making no mistakes, or very few, doing it in seconds instead of a week -- it was wild," Patki told the Texas Tribune. "I know that I am replaceable. Every day, I am reminded that I am replaceable."

Analysis: A Field in Transition, Not Extinction

Yet declaring computer science dead would be premature -- and the data supports a more nuanced reading. While traditional CS enrollment craters, AI and cybersecurity programs are surging, growing at 56 percent and 58 percent of surveyed institutions respectively. Engineering enrollment climbed 7.3 percent nationally, with electrical engineering up 13.8 percent. UC San Diego, the only University of California campus with a dedicated AI major, was the sole UC school to see CS-area enrollment increase. Northwestern, Columbia, and USC are all launching new AI-specific programs in fall 2026.

Texas universities are adapting. UT Austin and Baylor University have introduced mandatory AI foundations courses for all undergraduate CS students. Department chairs at UT Austin, UTSA, and Baylor are overhauling curricula to emphasize AI integration, cross-disciplinary applications, and the soft skills that machines cannot replicate.

"Computer science is just like glue -- in every field you need it, like health care, insurance, finance, cybersecurity, everywhere needs computer science," said Jean Gao, chair of the computer science department at Baylor University. "That is why students need to make themselves different."

The median wage for early-career computer science graduates still outpaces every other degree field, and underemployment rates remain lower than most disciplines. Fred Martin, chair of the CS department at UTSA, offered a measured assessment: "Definitely, it is harder to get jobs. There is no question about that. But our kids, the ones who have internships, who know how to talk to people and have the chops, they totally have jobs."

What Comes Next

The 20 percent enrollment decline is less a death knell for computer science than a market correction -- a painful recalibration as the discipline absorbs the very technology it helped create. Students are not fleeing tech so much as repositioning within it, trading generic coding skills for specializations in AI, machine learning, and cybersecurity that sit further up the automation-resistance curve.

For Texas universities, the challenge is existential but navigable: retool fast enough to remain relevant, or watch students migrate to programs that promise a future alongside AI rather than in competition with it. The institutions that move quickest -- embedding AI literacy across disciplines, forging industry partnerships, and teaching students to orchestrate intelligent systems rather than merely write code -- will define the next era of technical education. The ones that cling to yesterday's syllabus may find themselves facing their own 20 percent decline.

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Sources: Texas Tribune, Built In, Washington Post, National Student Clearinghouse, Computing Research Association