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How will the rising use of AI effect industries such as computer engineering and computer science?

I am currently a first year computer engineering student with very little prior coding experience. AI is definitely having an impact on the industries I am interested in such as computer engineering, but should the changes that AI brings change how I should prepare to enter a career in this field.


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Sumitra’s Answer

Dear Jacob,
AI is definitely changing computer engineering and computer science, but it’s not replacing them, it’s shifting what skills matter most. Instead of doing all the repetitive coding or debugging yourself, AI will help speed up those tasks. What will still matter is your ability to understand systems, think logically, design solutions, and make decisions that AI can’t. As a first-year student, focus on strong fundamentals: programming basics, data structures, math, and how computers actually work. These skills stay relevant no matter how AI evolves. The future of this field will be humans + AI working together, not AI taking over. If you're curious and willing to learn, you're preparing the right way already. 😊
Thank you comment icon Thank you for taking the time to help. Jacob
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Genesys’s Answer

AI will change how the engineers work, AI can reduce their working time. And engineers need to learn how to use AI so they won’t be behind technology.
AI will continue to impact these industries. It will automate simple tasks allowing these industries to focus on more complex tasks and situations!
AI will change how developers work today, requiring them to use AI as part of their code development. This will shorten development cycles.
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Sandeep’s Answer

You're right to be aware of the shift AI is causing, but the main takeaway is that AI is transforming the field, not replacing it. For a Computer Engineering student, this is actually an opportunity: AI is automating the low-level, repetitive coding and debugging tasks, which means the value of an engineer is shifting away from simple code generation and toward high-level systems architecture, integration, and problem definition.

The changes AI brings absolutely should influence your preparation, especially since you have little prior coding experience. Rather than fearing that AI will write the code for you, embrace it as an incredibly powerful tool. Your education should focus less on memorizing syntax and more on the foundational principles that AI can't replicate: algorithms, data structures, discrete math, and digital logic/hardware design. As a Computer Engineer, your advantage is the ability to bridge the gap between software and the physical world—designing efficient, secure, and trustworthy systems (like specialized chips, robotics, and autonomous vehicles) where AI must be carefully integrated into the hardware constraints .

To future-proof your career, you need to cultivate AI fluency and human-centric skills. AI fluency means knowing how to use generative AI tools effectively, how to interpret their output critically, and, most importantly, understanding the ethical implications of the systems you design. Focus on projects that require creativity, cross-disciplinary collaboration, and high-level critical thinking, which AI struggles to perform. By mastering the hardware (your core Computer Engineering strength) and becoming proficient in AI integration, you position yourself in emerging, in-demand roles like AI Ethics Engineer or Machine Learning Operations Engineer, making you an invaluable asset in the evolving industry.
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Genesys’s Answer

- AI will probably shrink the amount of low-level manual coding humans do, while increasing the value of engineers who can design
- AI will not just bring efficiencies but bring a creative vastness to the work people do. Do more with less!
- AI will automate routine coding and testing, shifting engineers toward system design, AI integration, security, and higher-level problem solving.
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Genesys’s Answer

Technology jobs will be at a higher level where testing and much of the coding will be handed off to AI.
The people who win are the ones who understand systems, security, data, and problem solving. Be adaptable!
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Genesys’s Answer

It will augment engineers performance, velocity, etc, in the same proportion than the user use them with critical thinking and creativity.
AI is likely to take on roles that free human workers to focus on more complex, creative, and strategic tasks
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Genesys’s Answer

The rise in AI, I believe will expand the opportunities within the industry. Allowing even greater creativity, used as a partner not replacement. It will complement the workforce and enhance the quality of outputs.
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Genesys’s Answer

- AI will continue to impact these industries. It will automate simple tasks allowing these industries to focus on more complex tasks and situations! - AI will change how the engineers work, AI can reduce their working time. And engineers need to learn how to use AI so they won’t be behind technology.
- AI will change how developers work today, requiring them to use AI as part of their code development. This will shorten development cycles.
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Genesys’s Answer

- It will create new jobs we haven’t even thought of yet!
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Genesys’s Answer

Expecting more jobs to be created for computer engineering as the AI demands increase. The computer science curriculum will evolve as AI gets embedded. The people who win are the ones who understand systems, security, data, and problem-solving. Be adaptable!
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Jeff’s Answer

Hi Jacob,

Great question! And, I know entering into a tech career is a bit scary at the moment!

Keep in mind that AI is just software that needs to be developed! That's a huge opportunity! It will never replace human knowledge and expertise! There will always be a need for computer scientists, developers and programmers. Computers are completely embedded in our lives. Pretty much everything you touch has a processor that needs to be programmed.

Learn the basics, be willing to learn, adapt and change and always keep learning and updating your skills and you will have a long, amazing, challenging career!

Good luck!
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Genesys’s Answer

- AI won't replace CS engineers — it'll redefine them. At Genesys, we see the demand for AI-fluent talent skyrocketing daily
- Technology jobs will be at a higher level where testing and much of the coding will be handed off to AI.
- It seems to me that it would affect speed, efficiency, with a future-driven minded.
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Genesys’s Answer

It will impact typical skill sets and heighten the need for strategic and creative thinking.
Computer engineering will make an impact on personalized AI chip delivery - computer science will be more towards reimagining AI models
AI will change the roles and skills needed for success. Being able to clearly identify the outcome needed and process to follow, and be curious!
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Genesys’s Answer

- Expecting more jobs to be created for computer engineering as the AI demands increase. The computer science curriculum will evolve as AI gets embedded
- AI will transform computer engineering and computer science by shifting focus from routine coding to higher-level problem-solving. In computer science
- AI won't replace CS engineers — it'll redefine them. At Genesys, we see the demand for AI-fluent talent skyrocketing daily
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Genesys’s Answer

It will take the monotonous tasks and do them leaving humans to do the brainstorming, big thinking, and problem solving.
Completely changes they way we approach learning, teaching and develop coding
The rising use of AI will enable industries like computer science and engineering to move faster, and deliver solutions more efficiently
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Genesys’s Answer

AI will augment engineers, automate coding tasks, accelerate development, and shift focus to system design, ethics, and AI integration.
Processes Will be faster and smarter, decisions will be made more accurately.
AI will allow to test code easier and in more depth and the use of multiple agents with different behavior modes
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Joseph’s Answer

I largely agree with Sumitra - for the most part, the way AI is changing the industry is not replacing people, it's being a tool to allow people to do more and automate away the dull work.

However, it's a bit more nuanced than that - and what's happening at a bunch of places is that the jobs are shifting towards more senior roles where people are using AI as a tool - but shifting away from some of the entry-level junior roles - the senior developers are now giving the basic tasks to AI agents rather than junior devs.

Long term, I think that Comp Sci is a safe bet for not being replaced by AI - we'll always need people developing and validating future systems. It's just right now there's a slight bottleneck in recruiting pathways as what used to be junior programming roles disappear, and we work out new ways of bringing new people into the field and figuring out what entry-level roles now look like.
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