5 answers
Niha
Student
5
Questions
Updated
862 views
How to find a career of interest and a subject I am interested in?
so basically i am a high school student soon going to start collage and i am a bit confuse about my decision of not taking biology as future subject to deal and on the other hand i have taken engineering as major and computer science as minor subject, although i like maths but the point that make think again on my decision is that wheater this subject has scope because recently many jobs has being taken by AI.please make this clear to me.
5 answers
Nicholas Todd
Mobile Tech Lead
4
Answers
Cincinnati, Ohio
Updated
Nicholas’s Answer
Hi Niha,
This topic is quite complex given the current state of AI. Based on my experience as a mobile app developer and tech lead, I see that AI is becoming a key tool in coding, which is affecting junior developers who mainly write code. However, Engineering and Computer Science offer many career paths. In Computer Science, you could specialize in areas like Cyber Security or AI, which are likely to grow. To stand out in the workforce, focus on learning AI and demonstrating your ability to use it. If you can graduate with a project or portfolio showcasing your AI skills, you'll have a significant advantage.
Best,
Nick
This topic is quite complex given the current state of AI. Based on my experience as a mobile app developer and tech lead, I see that AI is becoming a key tool in coding, which is affecting junior developers who mainly write code. However, Engineering and Computer Science offer many career paths. In Computer Science, you could specialize in areas like Cyber Security or AI, which are likely to grow. To stand out in the workforce, focus on learning AI and demonstrating your ability to use it. If you can graduate with a project or portfolio showcasing your AI skills, you'll have a significant advantage.
Best,
Nick
Thank you, sir. Can you please tell me which projects I should consider to get a better portfolio? Can you please share any link? It would be a great favor for me.
Niha
Rithvik Vasireddy
Data scientist
5
Answers
Bengaluru, Karnataka, India
Updated
Rithvik’s Answer
AI is taking over routine tasks, but it won't replace creative thinkers. Engineers and computer scientists are the ones who create and improve AI. By choosing Engineering and Computer Science, you're joining the team that powers AI, not the one being replaced by it.
Your love for math is a big plus. Engineering and Computer Science rely heavily on math, including logic, algorithms, and problem-solving. If math excites you, you're on the right track.
If you're considering dropping Biology, don't worry. Only pursue Biology if it truly interests you, not because you feel you have to. Studying something you love leads to success, while forcing yourself into a subject can lead to burnout.
Your love for math is a big plus. Engineering and Computer Science rely heavily on math, including logic, algorithms, and problem-solving. If math excites you, you're on the right track.
If you're considering dropping Biology, don't worry. Only pursue Biology if it truly interests you, not because you feel you have to. Studying something you love leads to success, while forcing yourself into a subject can lead to burnout.
Liam Rielly
Data Center Technician
180
Answers
Manassas, Virginia
Updated
Liam’s Answer
Niha, so far as not taking biology, your majors may not require biology in order to graduate so you may be discouraged from taking it or growing in that field. So far as engineering, computer science, and data science there are some distinctions that may not be discussed around you and seem confusing. The "AI took jobs" narrative has some basis but AI can never take all of the jobs. Working with AI is a field of jobs in its own, you may not know about or even know anyone that knows about them, but I'll try to shine some light on them here.
Right now I work in a data center that has AI hosts (or servers). These hosts are crunching numbers, sorting data, and training AI models all day and all night. This is done for a customer (or customers) who pay for this service to be up and running in full productivity all day and night. On a regular basis I am out replacing GPUs, RAM, and networking equipment to keep these hosts productive and serving the customer its best. So that is one job that is AI based, I regularly have contact with engineers, DevOps teams, database specialists, and have teammates that code to make processes easier for everyone. The engineers and DevOps teams need help when it comes to versioning code, keeping data for records, and publishing documentation for me and my team to use. While AI is not a PRIMARY tool for them, they will use it to assist them doing these tasks. The model of AI that we use at work is maintained by an external team that actively develops and trains the model we use as well as an internal team that manages the database the model uses. The internal team will make a vector database has all of the relevant information the workers for the company need to use it, they will integrate the model into other software using APIs, and they will regularly test the security and integrity of the AI to make sure the data is not corrupted. This is a vague list of about seven jobs a computer science and engineering degree can get you.
Another aspect of jobs in the future that I don't feel is being discussed is we are in past a gig based economy and are full into project based employment. Post WWII and into the 80s and 90s, engineers would work for a company and basically be signed on to do a project, they would then complete that project and leave for another company. This because the employment was project based. The rest of the employees for the company would likely stay and have a career that spanned 20 years or more. At this point in time the average worker might only work for one or two companies in their entire career, engineers would work for four or five. Starting today, get used to the idea of working for a company for between two to five years. After this pivot to the next company and start to do your thing there! You see massive layoffs in tech sectors because projects will end and change at the drop of a dime. You turn on the news and see 60,000 people laid off last week alone and how are we going to cope with that?! Is the completely dead in the future ? The job isn't dead. The field isn't dead. That specific job at that company is dead for the next five years while they cope with a new project starting and hiring in a bunch of new workers that have either a different specialty or more diverse skills.
AI is just another project. In the end LLMs will be just a drop in the bucket for what the entire field of AI has. The entire field of AI will require human and bot workers to maintain and grow in the end. Anyone who is telling you other does not know this field of employment or tech.
If you wanted to do biology for school because you feel it's easier, you can still work in tech by learning python, database management, DevOps, networking, storage clusters, cloud computing, or AIOps on your own and mending the two fields later. If you want to continue your path with engineering and computer science and do biology as a dual degree after you have a job in tech, I would say that's a good idea as well. If you say I want
Check out Veronica Explains https://www.youtube.com/@VeronicaExplains , https://veronicaexplains.net/about/
Check out Steve Huynh's channel https://www.youtube.com/@ALifeEngineered
Check out Sal Khan's history with starting Khan Academy https://support.khanacademy.org/hc/en-us/articles/202483180-What-is-the-history-of-Khan-Academy
Check out IEEE Spectrum https://spectrum.ieee.org
Never accept that a robot or LLM will take your job and you are helpless. Always be active growing skills and making opportunities for yourself. Diversify your skills so you can always find a job you like. Plan and save to be able to move around jobs every 2 to 5 years.
Right now I work in a data center that has AI hosts (or servers). These hosts are crunching numbers, sorting data, and training AI models all day and all night. This is done for a customer (or customers) who pay for this service to be up and running in full productivity all day and night. On a regular basis I am out replacing GPUs, RAM, and networking equipment to keep these hosts productive and serving the customer its best. So that is one job that is AI based, I regularly have contact with engineers, DevOps teams, database specialists, and have teammates that code to make processes easier for everyone. The engineers and DevOps teams need help when it comes to versioning code, keeping data for records, and publishing documentation for me and my team to use. While AI is not a PRIMARY tool for them, they will use it to assist them doing these tasks. The model of AI that we use at work is maintained by an external team that actively develops and trains the model we use as well as an internal team that manages the database the model uses. The internal team will make a vector database has all of the relevant information the workers for the company need to use it, they will integrate the model into other software using APIs, and they will regularly test the security and integrity of the AI to make sure the data is not corrupted. This is a vague list of about seven jobs a computer science and engineering degree can get you.
Another aspect of jobs in the future that I don't feel is being discussed is we are in past a gig based economy and are full into project based employment. Post WWII and into the 80s and 90s, engineers would work for a company and basically be signed on to do a project, they would then complete that project and leave for another company. This because the employment was project based. The rest of the employees for the company would likely stay and have a career that spanned 20 years or more. At this point in time the average worker might only work for one or two companies in their entire career, engineers would work for four or five. Starting today, get used to the idea of working for a company for between two to five years. After this pivot to the next company and start to do your thing there! You see massive layoffs in tech sectors because projects will end and change at the drop of a dime. You turn on the news and see 60,000 people laid off last week alone and how are we going to cope with that?! Is the completely dead in the future ? The job isn't dead. The field isn't dead. That specific job at that company is dead for the next five years while they cope with a new project starting and hiring in a bunch of new workers that have either a different specialty or more diverse skills.
AI is just another project. In the end LLMs will be just a drop in the bucket for what the entire field of AI has. The entire field of AI will require human and bot workers to maintain and grow in the end. Anyone who is telling you other does not know this field of employment or tech.
If you wanted to do biology for school because you feel it's easier, you can still work in tech by learning python, database management, DevOps, networking, storage clusters, cloud computing, or AIOps on your own and mending the two fields later. If you want to continue your path with engineering and computer science and do biology as a dual degree after you have a job in tech, I would say that's a good idea as well. If you say I want
Liam recommends the following next steps:
Thank you for giving me advice.
Niha
Rebecca Tang
Banking
2575
Answers
Hong Kong
Updated
Rebecca’s Answer
Thank you for your question. Firstly, you better find out what careers you have interest.
Below are my suggestions :
1. There are many careers related to Engineering or Biology, e.g. Electrical & Electronic Engineering, Mechanical Engineering, Civil Engineering, Industrial Engineering, Computer Engineering, Biochemistry Engineering, Doctor, Nurse, Zoologist, Park Ranger, Vet, Dentist, Psychologist, Physiotherapist, Occupational Therapist, etc. You can find out more online.
2. These careers are very different. Find out more on these careers and determine what you have interest.
3. Attend the information hosts by relevant subjects in colleges
4. Seek guidance from your mentor, school career counsellor, your parents, etc.
5. Shortlist 1-2 careers you would like to pursue
6. Explore the entry criteria of relevant subjects in colleges
Hope this helps! Good Luck!
May Almighty God bless you!
Below are my suggestions :
1. There are many careers related to Engineering or Biology, e.g. Electrical & Electronic Engineering, Mechanical Engineering, Civil Engineering, Industrial Engineering, Computer Engineering, Biochemistry Engineering, Doctor, Nurse, Zoologist, Park Ranger, Vet, Dentist, Psychologist, Physiotherapist, Occupational Therapist, etc. You can find out more online.
2. These careers are very different. Find out more on these careers and determine what you have interest.
3. Attend the information hosts by relevant subjects in colleges
4. Seek guidance from your mentor, school career counsellor, your parents, etc.
5. Shortlist 1-2 careers you would like to pursue
6. Explore the entry criteria of relevant subjects in colleges
Hope this helps! Good Luck!
May Almighty God bless you!
Thanks, can't wait to put this advice into action!
Niha
David Allen
Consultant
124
Answers
Dallas, Texas
Updated
David’s Answer
Choosing a career path at your stage is about aligning your natural strengths with fields that offer long-term resilience, and both engineering and computer science remain high-scope options despite the rise of AI. While AI can automate routine coding or basic calculations, it lacks the human capacity for complex system architecture, ethical judgment, and high-level problem-solving. In fact, the demand for technical talent is projected to stay strong; for example, computer science graduates in early 2026 are seeing high starting salaries as companies prioritize those who can build, manage, and optimize AI-driven systems rather than just perform manual tasks. Your interest in math is a significant advantage, as it forms the foundational logic needed for advanced roles in data science, robotics, and machine learning, which are among the fastest-growing sectors.
To verify your interest and clear your confusion, you should actively explore how these subjects intersect with real-world applications. You can use career exploration tools like Naviance or CareerOneStop to map your skills to specific pathways, or attend local events like the Engineering Pathways - Launch program to see what professional engineers actually do daily. If you still feel drawn to biology, remember that "hybrid careers" are booming—combining your computer science minor with biological data can lead to high-impact fields like bioinformatics or medical technology. Ultimately, the goal is not to compete with AI, but to master it as a tool that amplifies your ability to solve meaningful, large-scale problems.
To verify your interest and clear your confusion, you should actively explore how these subjects intersect with real-world applications. You can use career exploration tools like Naviance or CareerOneStop to map your skills to specific pathways, or attend local events like the Engineering Pathways - Launch program to see what professional engineers actually do daily. If you still feel drawn to biology, remember that "hybrid careers" are booming—combining your computer science minor with biological data can lead to high-impact fields like bioinformatics or medical technology. Ultimately, the goal is not to compete with AI, but to master it as a tool that amplifies your ability to solve meaningful, large-scale problems.
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