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The takeover: how Artificial Intelligence is affecting computer science

This graphic is of a guy getting frustrated towards his computer. It represents the hardships CS programmers could have if AI takes over their subject of work.
This graphic is of a guy getting frustrated towards his computer. It represents the hardships CS programmers could have if AI takes over their subject of work.
Jason Berk

Imagine someone spending four years in college as a Computer Science major graduating with excellent grades, and after all that work, they still can’t find a job. Four years of not only their life, but also all those who have dedicated their college and future lives to CS (Computer Science), were wasted, as well as the entire tuition. Did they do something wrong? No, there is just a competitor, a singular, much better one. Once again, Artificial Intelligence (AI) is back to take over something, this time it’s the world of CS and employment opportunities regarding it. All time and funds now are of no use, as they and other CS majors are no longer needed for employment, stripped away of a future, due to AI.

Not knowing the basic definitions of CS and AI can make it hard for one to understand this problem. Computer science is the immense technological field of devices that includes chief factors like programming, algorithmic processes and the study of computers. On the other hand, AI, abbreviated from its official term artificial intelligence, is a newer yet rapidly enhancing form of technology that’s ground is to replicate, or even excel, human activity for all needed purposes.

Currently in the year 2026, humans carrying out computer science-related jobs are a fair amount more officiant then if AI were to replace their duties. Though the concern is AI’s constant and rapid uprising. If one were to start their CS major today, by the time they’d complete their field of study, it is debatable whether AI would already be of better capability in comparison to the student. If that were so, when in search of a job, one would simply be constantly rejected as employers already have a better alternative that doesn’t need to be paid, nor need breaks. It can work continuously, non-stop and simply doesn’t get overworked, unlike a human employee. 

Irrespective of the serious challenges this takeover of CS holds, the general automation of CS activities would actually be a good thing. As our world continues to advance, a main goal in many contributing fields is to make things easier for one. Jobs that have been taken over by machinery within the past include switchboard operators, people who manually connected phone calls. Pinsetters, teens known as “pin boys”, who were used in bowling alleys to set up pins. Milkmen, who delivered milk to doorsteps, are no longer needed due to refrigeration. Lastly, and most similar to our main topic, human computers. Before electronic computers, people (often women) were employed to perform complex calculations, such as for NASA. Now, as we have automated calculation technologies, these people are no longer needed due to a new form of technology, similar to another new form uprising today, AI.

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A major factor within our main problem is the lack of connection between AI developers and the general board in charge of CS within colleges. Most of the blame falls on the developers, actually. One shouldn’t expect the board to be up to date with this problem regarding the escalation of AI, as it originates nowhere near their field of duty, and it simply isn’t, and shouldn’t be their priority. AI developers seem not to understand the true scope of affectees regarding their invention. To a point, it is hypocritical of these developers not to think about the groups of people they affect when they continue to develop these AI applications. Not asking them to end all development, just simply being more communicational to all who could be impacted, whether starting now or in the near future. It is simply indeterminable if AI will replace CS employees within the coming years. Whether we know a confirmed outcome or not, curriculum committees and artificial intelligence do need to communicate sufficiently and decide on a middle ground for the greater good of our world’s future CS majors.

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