Tech News
← Home  ·  All topics

Computer Science

10 GoKawiil briefs on this topic

Nova Learning survey shows student interest shifting from CS/AI to Engineering

A survey by academic mentoring platform Nova Learning found that the share of middle and high school students naming Computer Science and AI as their top academic interest dropped from 42.3% in 2025 to 27.9% in 2026, while Engineering's share nearly doubled, rising from 11.9% to 23%, led largely by Mechanical and Aerospace Engineering. Separately, the National Student Clearinghouse Research Center reported an 8.1% drop in undergraduate Computer and Information Science enrollment at four-year institutions, to about 606,000 students, even as Engineering enrollment grew.

Companies Still Hiring CS Grads, But Prioritize AI Fluency Over Coding Basics

Despite widespread claims that artificial intelligence is destroying the value of computer science degrees, employers say demand for graduates remains strong. However, hiring managers now expect candidates to demonstrate practical skill working alongside AI tools rather than just traditional programming knowledge.

NYC entry-level tech job postings down 49% since 2022, report finds

A Center for an Urban Future analysis of New York City hiring data found postings for entry-level 'computer and mathematical' roles have fallen 49 percent since 2022. The nonprofit's director, Jon Bowles, says the traditional first rung of the tech career ladder is under intense pressure, with similar declines showing up in administrative, financial, media and education entry-level postings.

Experts steer students toward anthropology, math and philosophy over computer science

A Wall Street Journal report cites experts recommending anthropology, mathematics and philosophy as college majors better suited to an AI-driven job market than computer science, whose recent graduates face a 6.1% unemployment rate versus a 5.7% overall rate. The experts argue these fields build distinctly human skills—like understanding behavior and abstract reasoning—that AI cannot easily replicate, even as long-term demand for software developers remains strong.

Snap! visual language aims to teach kids and adults real computer science

Snap! is a block-based programming environment designed to be approachable for beginners while still supporting rigorous computer science education. It extends the block-programming style popularized by Scratch but adds features that let users build higher-order functions, recursion, and other advanced concepts typically reserved for text-based languages.

Google to weaken search features for EU users citing regulatory pressure

Google has signaled it will scale back certain search functionality for European users rather than fully comply with EU antitrust rules, aiming to sidestep potential fines. The company frames this as a response to regulatory demands it considers overly burdensome or conflicting with its business model.

Shaw Prize Launches New Computer Science Category, Opens Nominations

The Shaw Prize Foundation has introduced a new Computer Science prize category, marking the first expansion beyond its original three award categories. Nominations are now open, inviting the community to put forward candidates whose work reflects notable innovation and rigor in the field.

As AI Disrupts Tech Hiring, Math Degrees Gain Ground Over Computer Science

For over a decade, computer science was seen as the surest path to a lucrative tech job, fueling a nearly 500% surge in CS degrees since 2008. Now, as artificial intelligence automates many coding tasks and shrinks entry-level tech hiring, some observers argue that math degrees may offer better long-term career security than CS.

OpenAI Reportedly Building Always-On AI Agent

OpenAI is said to be developing a persistent AI agent capable of running continuously rather than only responding to single prompts. The agent would maintain ongoing awareness of tasks and context over time, moving beyond the transactional chat-based model most assistants use today.

Paul Graham argues universities should teach building skills, not startup courses, to prepare founders

In a new essay, Paul Graham says Y Combinator's decades of experience selecting founders show that the best preparation for startup success is deep technical or creative skill, not a formal entrepreneurship curriculum. He argues universities should keep teaching subjects like computer science, engineering and molecular biology, since founders succeed by building products customers want, not by studying management or finance.