Futurism89%

Computer Science Enrollment Now Declining Under Dark Cloud of AI 51%

By Frank Landymore67%

7/24/2026, 8:33:26 PM

BS Summary: This article contains 22 faulty reasoning types, including Post Hoc (False Cause), Biased Writer Voice, and Ambiguity (Equivocation), with Hasty Generalization as the most egregious example at 35.4% saturation with 158 hits. Analysis detected 1,105 faulty-reasoning hits from 446 analyzed words, generating a BS Score of 50.6% and a BS Rank of 51% (10,675 of 21,551 articles). This article is worse (more manipulative) than 50.50% of the article peer group.

For years, the conventional wisdom for ambitious students and languishing jobseekers alike was “learn to code.” 
Do that, the ubiquitous advice went, and you’d be able to find yourself a six-figure job anywhere. 
But in an age when bosses are hellbent on using powerful AI agents to perform the duties of software engineers, that advice is now looking increasingly obsolete, if not outright backfiring. 
And the youngsters appear to be getting wise to that new reality. 
For the first time in nearly twenty years, computer science enrollment declined during the 2025-26 academic year, according to new research from the Stanford economist Jacob Light reported by Business Insider . 
A separate survey from the National Student Clearinghouse Research Center found that undergraduate enrollment in another IT degree, computer and information sciences and support services, dropped by a precipitous 8.1 percent in the fall of 2025. 
Light said that the dropoff could be related to AI, and not necessarily a direct result of AI taking over coding jobs. 
“The decline could reflect changes in the education production function as generative AI alters how students complete coursework, changes in students’ expectations about the returns to Computer Science skills, responses to labor market conditions that themselves partly reflect AI adoption, broader weakness in the technology labor market unrelated to AI, or other contemporaneous shifts in student demand,” Light wrote, per BI . 
“Therefore, I treat the enrollment patterns as descriptive evidence rather than as an estimate of the causal effect of ChatGPT or AI exposure on student demand,” he concluded. 
There’s probably nuance under the hood. 
When The Washington Post dived into the National Student Clearinghouse data earlier this year, its analysis suggested that some of those disappearing computer science enrollments are being funneled into related disciplines instead, like data analytics and data science. 
In any case, it’s clear that programming jobs, at least in big tech, aren’t as secure as they used to be. 
Over 120,000 tech jobs have been cut in 2026 so far, according to the industry layoffs trackers Layoffs.fyi . 
A significant portion came at companies like Meta and Google as they ramped up their AI spending . 
One report found that AI was cited in the announcements of more than 54,000 layoffs last year. 
Whether AI meaningfully replaced those jobs or was simply used as a scapegoat by employers to gloss over other reasons for the cuts, though, is a matter of ongoing debate. 
More on AI: Sixteen Nobel-Winning Economists Warn That Major AI Job Losses Are Coming 
The post Computer Science Enrollment Now Declining Under Dark Cloud of AI appeared first on Futurism . 
Confirmation Bias
14.8%
Anchoring Bias
0%
Availability Heuristic
16.1%
Representativeness Heuristic
8.5%
Hindsight Bias
0%
Overconfidence Bias
6.3%
Framing Effect
2.2%
Loss Aversion
0%
Status Quo Bias
0%
Sunk Cost Effect
0%
Optimism Bias
4.9%
Pessimism Bias
11.7%
Negativity Bias
13.7%
Self-Serving Bias
0%
Fundamental Attribution Error
13.9%
Actor-Observer Bias
0%
In-Group Bias
0%
Out-Group Homogeneity Bias
0%
Halo Effect
0%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
2.7%
Primacy Effect
0%
Blind-Spot Bias
1.3%
Ad Hominem
0%
Straw Man
0%
Appeal to Authority
3.1%
False Dilemma
13.7%
Slippery Slope
0%
Circular Reasoning
0%
Hasty Generalization
35.4%
Red Herring
0%
Bandwagon
0%
Appeal to Emotion
0%
Begging the Question
0%
Post Hoc (False Cause)
19.5%
Tu Quoque
0%
Burden of Proof
13.9%
Appeal to Nature
0%
Composition/Division
0%
Anecdotal
11.4%
No True Scotsman
0%
Ambiguity (Equivocation)
17.3%
Gambler’s Fallacy
0%
Middle Ground
1.3%
Personal Incredulity
0%
Special Pleading
0%
Genetic Fallacy
0%
Unattributed Quote
13.9%
Quote-first Misdirection
0%
Biased Writer Voice
17.7%
Indoctrination
0%
Politically Left Leaning Bias
0%
Politically Right Leaning Bias
0%
Attempt to Sell a Product or Service
4.3%

446 words analyzed.

Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.