22 answers
Updated
4865 views
What careers are becoming less relevant because of AI?
And if your own field is shifting, how are you adapting?
We are watching AI slowly reshaping industries, automating routine jobs, transforming how we work, and challenging long-held career paths.
But that leads to a bigger question...
What career paths should the next generation focus on if they want to stay relevant in the next 10–30 years?
22 answers
James Constantine Frangos
SOFTWARE ENGINEER SINCE 1972; NUTRITIONIST SINCE 1976.
7094
Answers
Gold Coast, Queensland, Australia
Updated
James Constantine’s Answer
Hello Robiah,
Here are some jobs that AI is unlikely to replace:
1. Creative Jobs: Artists, writers, and designers rely on creativity, which AI cannot replicate.
2. Healthcare Roles: Doctors, nurses, and therapists need empathy and human interaction, keeping them safe from AI.
3. Education: Teachers and educators offer personalized learning and mentorship that AI cannot provide.
4. Skilled Trades: Electricians and plumbers use hands-on skills and problem-solving that AI lacks.
5. Management and Leadership: Managers and executives make strategic decisions and use emotional intelligence, which AI cannot do.
These jobs need human skills that AI cannot match, keeping them important in the workforce.
Instead of just specializing, consider a dual approach to stay relevant in the face of Artificial Intelligence advancements.
First, specialize in big data and Python coding. You don't need to worry about tuition costs because there are free online courses available, like the one on Coursera.
SEE https://www.coursera.org/learn/ai-python-for-beginners/paidmedia?
Second, diversify by branching into consulting work. There is a strong demand for information in research, especially when it leads to success. You could explore corporate consulting, help with internet searches, or assist students with their assignments.
Personally, I assist people with medical problems through my work in nutrition, which I've been doing since 1994.
JC
Here are some jobs that AI is unlikely to replace:
1. Creative Jobs: Artists, writers, and designers rely on creativity, which AI cannot replicate.
2. Healthcare Roles: Doctors, nurses, and therapists need empathy and human interaction, keeping them safe from AI.
3. Education: Teachers and educators offer personalized learning and mentorship that AI cannot provide.
4. Skilled Trades: Electricians and plumbers use hands-on skills and problem-solving that AI lacks.
5. Management and Leadership: Managers and executives make strategic decisions and use emotional intelligence, which AI cannot do.
These jobs need human skills that AI cannot match, keeping them important in the workforce.
Instead of just specializing, consider a dual approach to stay relevant in the face of Artificial Intelligence advancements.
First, specialize in big data and Python coding. You don't need to worry about tuition costs because there are free online courses available, like the one on Coursera.
SEE https://www.coursera.org/learn/ai-python-for-beginners/paidmedia?
Second, diversify by branching into consulting work. There is a strong demand for information in research, especially when it leads to success. You could explore corporate consulting, help with internet searches, or assist students with their assignments.
Personally, I assist people with medical problems through my work in nutrition, which I've been doing since 1994.
JC
Updated
Tahir’s Answer
I believe that AI enhances work efficiency. It might reduce reliance on specific jobs such as Graphic Designer, Coder, and Office Assistant, but these roles cannot be completely eliminated.
Updated
Wong’s Answer
Careers with routine, repetitive tasks are the most at risk from AI. For example, jobs like data entry clerks, bookkeepers, and administrative assistants are being automated by software that can handle data processing and scheduling.
Updated
Wyatt’s Answer
Hello Robiah,
Artificial intelligence is rapidly reshaping the workforce, and we’re already seeing the effects across a wide range of industries. Careers that rely heavily on routine, repetitive tasks are becoming less relevant or are being significantly redefined. Data entry, basic customer service roles, telemarketing, and even entry level coding or quality assurance positions are increasingly being handled by AI-driven tools. In creative fields, tasks like writing, designing, and video editing are also being disrupted by generative AI platforms. While these roles may not disappear overnight, their traditional form is fading, and the expectations around them are shifting. Even mid level functions in accounting, logistics, and HR are being restructured as AI handles more of the repetitive, rules-based decision-making. The common thread is that if a task can be mapped, predicted, or templated, it’s likely on the path to automation.
In the technology sector, where I’ve spent most of my career, the change isn’t about being replaced, it’s about adapting, leveraging, and leading. I’ve always been drawn to solving problems with technology, and AI has only expanded that toolbox. In my experience, roles are becoming more hybrid, it’s no longer enough to just be a developer or an analyst, you need to understand how to use AI systems to enhance productivity, streamline decision making, and drive strategic outcomes. In consulting and solution delivery, the emphasis has shifted from just building systems to advising clients on how to use emerging technologies intelligently and ethically. To adapt, I’ve focused on learning continuously, staying current with tools like machine learning platforms, generative models, and data automation technologies. Just as important, I’ve invested in sharpening the skills AI can’t replicate, judgment, communication, and the ability to connect business goals with technical execution.
Before I stepped away from the workforce a couple of years ago, mainstream companies were already deeply engaged with AI. While AI has been a key part of high-tech business strategies for about a decade, its roots in business applications stretch back much further, well before the current hype. Much like technologies such as virtualization, cloud computing, and machine learning our company was working in these areas far before they were the newest craze. At our company, a cutting-edge technology consulting firm, AI had been a major focus for over ten years. It’s funny how it often takes the media to spark public awareness about technologies that have actually been around and quietly transforming industries for a long time.
Looking forward, the next generation should focus on career paths that are harder to automate and more deeply integrated with human insight, creativity, or physical execution. Fields like AI engineering, robotics, data science, and cybersecurity will obviously thrive, but so will roles grounded in emotional intelligence, ethics, and interpersonal dynamics, such as mental health professionals, educators, and healthcare workers. Skilled trades, surprisingly, are also well-positioned for resilience, as they involve complex, real world problem solving that AI can’t easily reproduce. The most future proof careers will likely be those that blend technical fluency with human skills, roles that require adaptability, cross disciplinary thinking, and the ability to guide or govern technology, not just build it. As AI continues to accelerate change, staying relevant won’t come from resisting it, but from learning how to work with it and shape it responsibly.
Best Wishes,
Wyatt
Artificial intelligence is rapidly reshaping the workforce, and we’re already seeing the effects across a wide range of industries. Careers that rely heavily on routine, repetitive tasks are becoming less relevant or are being significantly redefined. Data entry, basic customer service roles, telemarketing, and even entry level coding or quality assurance positions are increasingly being handled by AI-driven tools. In creative fields, tasks like writing, designing, and video editing are also being disrupted by generative AI platforms. While these roles may not disappear overnight, their traditional form is fading, and the expectations around them are shifting. Even mid level functions in accounting, logistics, and HR are being restructured as AI handles more of the repetitive, rules-based decision-making. The common thread is that if a task can be mapped, predicted, or templated, it’s likely on the path to automation.
In the technology sector, where I’ve spent most of my career, the change isn’t about being replaced, it’s about adapting, leveraging, and leading. I’ve always been drawn to solving problems with technology, and AI has only expanded that toolbox. In my experience, roles are becoming more hybrid, it’s no longer enough to just be a developer or an analyst, you need to understand how to use AI systems to enhance productivity, streamline decision making, and drive strategic outcomes. In consulting and solution delivery, the emphasis has shifted from just building systems to advising clients on how to use emerging technologies intelligently and ethically. To adapt, I’ve focused on learning continuously, staying current with tools like machine learning platforms, generative models, and data automation technologies. Just as important, I’ve invested in sharpening the skills AI can’t replicate, judgment, communication, and the ability to connect business goals with technical execution.
Before I stepped away from the workforce a couple of years ago, mainstream companies were already deeply engaged with AI. While AI has been a key part of high-tech business strategies for about a decade, its roots in business applications stretch back much further, well before the current hype. Much like technologies such as virtualization, cloud computing, and machine learning our company was working in these areas far before they were the newest craze. At our company, a cutting-edge technology consulting firm, AI had been a major focus for over ten years. It’s funny how it often takes the media to spark public awareness about technologies that have actually been around and quietly transforming industries for a long time.
Looking forward, the next generation should focus on career paths that are harder to automate and more deeply integrated with human insight, creativity, or physical execution. Fields like AI engineering, robotics, data science, and cybersecurity will obviously thrive, but so will roles grounded in emotional intelligence, ethics, and interpersonal dynamics, such as mental health professionals, educators, and healthcare workers. Skilled trades, surprisingly, are also well-positioned for resilience, as they involve complex, real world problem solving that AI can’t easily reproduce. The most future proof careers will likely be those that blend technical fluency with human skills, roles that require adaptability, cross disciplinary thinking, and the ability to guide or govern technology, not just build it. As AI continues to accelerate change, staying relevant won’t come from resisting it, but from learning how to work with it and shape it responsibly.
Best Wishes,
Wyatt
Updated
Neil’s Answer
Hi Robiah
AI is very good at repetitive and structured tasks - so those are the ones to avoid.
What AI isn't great at is work which requires empathy, emotion and judgement. I'm hearing quite a bit of talk about the concept of "taste", meaning the kind of subjective view that is hard to replicate with statistics.
That could be a guide to your decision making around which directions to go.
Of course, using AI for knowledge work is much more advanced than robotics - so work which includes some physical element is going to be reasonably future-proof ... at least in the short term.
However, there's also a future where AI is a support to bring efficiency - with human-in-the-loop still.
All of these might very well mean that you need to work with AI in the short term, to acquire the all-important experience to prepare you to be the human expert that supports the machinery that does the basic work!
Good luck, you'll be great!
Neil
AI is very good at repetitive and structured tasks - so those are the ones to avoid.
What AI isn't great at is work which requires empathy, emotion and judgement. I'm hearing quite a bit of talk about the concept of "taste", meaning the kind of subjective view that is hard to replicate with statistics.
That could be a guide to your decision making around which directions to go.
Of course, using AI for knowledge work is much more advanced than robotics - so work which includes some physical element is going to be reasonably future-proof ... at least in the short term.
However, there's also a future where AI is a support to bring efficiency - with human-in-the-loop still.
All of these might very well mean that you need to work with AI in the short term, to acquire the all-important experience to prepare you to be the human expert that supports the machinery that does the basic work!
Good luck, you'll be great!
Neil
Updated
Patrick’s Answer
I just had a similar conversation with my son now that he is looking at colleges and determining his major. I wanted him to understand the likelihood of his major still being relevant in the next 5 - 10 years. From my point of view AI is most definitely changing the workforce in powerful ways, and many careers that rely heavily on repetitive or rule-based tasks are becoming less relevant. For example, roles in data entry, basic administrative support, and even some aspects of accounting, customer service, and manufacturing are being automated. To put a finer point on it, AI is also starting to take on tasks in fields like journalism, paralegal work, and diagnostics in healthcare. All of these areas were once thought to be safe from automation. However, in my work I am finding new ways to introduce AI in all aspects of my clients industry. My thought is if your field is shifting, the key is to adapt by learning new skills that AI can’t easily replicate. This would be things like creativity, emotional intelligence, strategic thinking, and complex problem-solving. What has always helped me and what I am influencing my son with is embracing lifelong learning, staying curious, and being open to change are no longer optional as they’re essential.
For my son's generation, the most future-proof careers will be those that blend technical understanding with human-centered skills. Fields like AI ethics, cybersecurity, sustainable energy, mental health, healthcare, education, and advanced technology development are all expected to grow. He is double majoring in Sports Management and Business Management but I am also asking him to ensure he takes courses in Data Analytics, GenAI, and/or Data Science. Creative industries, leadership roles, and jobs focused on innovation or human connection will remain valuable. The real opportunity lies in building a career that can evolve alongside technology. One that stays relevant not by avoiding change, but by growing with it. I hope this helps you as these are just my points of view on things.
For my son's generation, the most future-proof careers will be those that blend technical understanding with human-centered skills. Fields like AI ethics, cybersecurity, sustainable energy, mental health, healthcare, education, and advanced technology development are all expected to grow. He is double majoring in Sports Management and Business Management but I am also asking him to ensure he takes courses in Data Analytics, GenAI, and/or Data Science. Creative industries, leadership roles, and jobs focused on innovation or human connection will remain valuable. The real opportunity lies in building a career that can evolve alongside technology. One that stays relevant not by avoiding change, but by growing with it. I hope this helps you as these are just my points of view on things.
Updated
Emre’s Answer
For me as a project manager, AI takes the burden of the "creativity" part that I need to resume my daily work, as an example:
- You have an idea but it needs improvement, AI is helping you see other perspectives and you build on it
- You have a bunch of data/facts about a task or project you have, AI helps you to structure and makes it more presentable
- You need to escalate a matter but English isn't your native language to play with, AI helps you to stay within limits and but still express your feelings in a "professional" way
- You have multiple data/files/results and you need comparison, AI helps you to speed up the process
It's possible to add more and more, but what I am trying to conclude here is: AI isn't replacing what I am doing. I already know what results I want to achieve, and most of the time I know how I need to reach there and it simply helps me on the process, in a short time and better quality as if I had a personal assistant.
That's how I see AI impacting my job at the moment.
- You have an idea but it needs improvement, AI is helping you see other perspectives and you build on it
- You have a bunch of data/facts about a task or project you have, AI helps you to structure and makes it more presentable
- You need to escalate a matter but English isn't your native language to play with, AI helps you to stay within limits and but still express your feelings in a "professional" way
- You have multiple data/files/results and you need comparison, AI helps you to speed up the process
It's possible to add more and more, but what I am trying to conclude here is: AI isn't replacing what I am doing. I already know what results I want to achieve, and most of the time I know how I need to reach there and it simply helps me on the process, in a short time and better quality as if I had a personal assistant.
That's how I see AI impacting my job at the moment.
Updated
Aoife (Ee-fah)’s Answer
AI is used to automate tasks and answer questions, reducing the need for many people in customer service roles. It matches available data to questions, providing quick solutions.
Updated
Laura Beth’s Answer
Hi Robiah,
You asked some great questions!
Jobs with repetitive tasks, like call center operators, are seeing changes as companies develop AI to handle calls. If something needs extra attention, a human will step in.
In Silicon Valley, we're on the brink of a big change with AI making things faster and more efficient, just like the telephone and internet did before.
For the next 10–30 years, career paths will keep evolving. Think about what you love and what excites you to find the right industry for you.
When I started my career 15 years ago, I worked at a desk in an office every day. Now, many tech companies are embracing remote and hybrid work models. You do your work, and meet up when needed for important events. It's an exciting way to work for future generations!
You asked some great questions!
Jobs with repetitive tasks, like call center operators, are seeing changes as companies develop AI to handle calls. If something needs extra attention, a human will step in.
In Silicon Valley, we're on the brink of a big change with AI making things faster and more efficient, just like the telephone and internet did before.
For the next 10–30 years, career paths will keep evolving. Think about what you love and what excites you to find the right industry for you.
When I started my career 15 years ago, I worked at a desk in an office every day. Now, many tech companies are embracing remote and hybrid work models. You do your work, and meet up when needed for important events. It's an exciting way to work for future generations!
Updated
MANAHIL’s Answer
Hello there,
AI is making routine jobs like data entry, basic bookkeeping, and customer service less relevant. As an accounting student, I’m adapting by learning tech skills like Excel, Power BI, and staying focused on roles that require human judgment like analysis and advisory.
Future careers should focus on tech (like AI and cybersecurity), healthcare, education, and fields that blend human creativity with tech. The key is to keep learning and adapting.
Manahil
AI is making routine jobs like data entry, basic bookkeeping, and customer service less relevant. As an accounting student, I’m adapting by learning tech skills like Excel, Power BI, and staying focused on roles that require human judgment like analysis and advisory.
Future careers should focus on tech (like AI and cybersecurity), healthcare, education, and fields that blend human creativity with tech. The key is to keep learning and adapting.
Manahil
Updated
Jeremy’s Answer
Jobs that are operational in nature are usually considered first.
Updated
Manisha’s Answer
Consider pursuing careers that allow you to use your creativity and unique human skills. Explore areas where your personal touch and innovative thinking can make a difference.
Updated
Philemon’s Answer
The creative sector, like graphic design, music, and singing, is likely to stay strong and not be taken over by AI. Jobs that need a lot of empathy and human interaction, like teaching and healthcare, will also remain safe because they rely on emotional skills that AI can't replace. Trades that involve manual work, such as electricians and plumbers, are also secure for now.
Jobs at risk are those with repetitive tasks that don't need much judgment or communication. Even these roles won't disappear entirely. Instead, AI and automation will help make them more efficient, allowing people to focus on more important tasks like problem-solving and decision-making.
Jobs at risk are those with repetitive tasks that don't need much judgment or communication. Even these roles won't disappear entirely. Instead, AI and automation will help make them more efficient, allowing people to focus on more important tasks like problem-solving and decision-making.
Updated
David’s Answer
AI is great for handling repetitive tasks, and many of these jobs can be automated. But don't worry, there are still important roles for people. We need to review AI results for any bias and learn how to give AI clear instructions to get the best outcomes. This is crucial for making AI work well for us.
It's also important to find industries where AI can help but not replace jobs. For example, I lead a team of Field Engineers who fix printers. AI can help them diagnose issues, but it can't physically repair the machines. Jobs that require hands-on work like this are likely to stay around.
Think about jobs that need a personal touch, and you'll find security in your career.
It's also important to find industries where AI can help but not replace jobs. For example, I lead a team of Field Engineers who fix printers. AI can help them diagnose issues, but it can't physically repair the machines. Jobs that require hands-on work like this are likely to stay around.
Think about jobs that need a personal touch, and you'll find security in your career.
Updated
Virginia’s Answer
Hi Robiah, while some jobs might change with AI, it's a great chance to learn and grow. By using AI to your benefit, you can enhance your skills. Since AI is everywhere now, mastering it can really help you succeed. No matter what job you have, using AI can keep you valuable and up-to-date.
Updated
Cliff’s Answer
Robiah,
AI is taking over some of the more manual tasks with chatbots, etc. for things like help desks, HR tasks, etc. So, some of these groups have been destaffed as a result of this.
In addition, AI can assist with some software writing, etc. but it doesn't really take over for software engineers.
I agree with others who previously commented, that the hands-on work (electricians, plumbers, etc.) are really 'AI proof' but it really depends on what you want to do as to how you want to prepare for AI.
I wouldn't really change what you want do out of fear that AI would make your job choice irrelevant; Rather - look at how AI is 'impacting' or 'augmenting' and see how you want to prepare for it. For example, teachers have to be able to ensure students don't use CHATGPT to write their papers - there are tools that can detect this and speaking with students can also help prevent that as well.
I still say: Find a job where you can "Do what you love, and you'll never work a day in your life" but you need to work in coordination with AI.
Good luck!
AI is taking over some of the more manual tasks with chatbots, etc. for things like help desks, HR tasks, etc. So, some of these groups have been destaffed as a result of this.
In addition, AI can assist with some software writing, etc. but it doesn't really take over for software engineers.
I agree with others who previously commented, that the hands-on work (electricians, plumbers, etc.) are really 'AI proof' but it really depends on what you want to do as to how you want to prepare for AI.
I wouldn't really change what you want do out of fear that AI would make your job choice irrelevant; Rather - look at how AI is 'impacting' or 'augmenting' and see how you want to prepare for it. For example, teachers have to be able to ensure students don't use CHATGPT to write their papers - there are tools that can detect this and speaking with students can also help prevent that as well.
I still say: Find a job where you can "Do what you love, and you'll never work a day in your life" but you need to work in coordination with AI.
Good luck!
Kaitlyn Corey
Occupational Therapy Assistant/Occupational Therapy Student
60
Answers
Graniteville, South Carolina
Updated
Kaitlyn’s Answer
You’re right, AI is changing a lot of industries. Jobs that are heavy on repetitive tasks are the ones shrinking the fastest. That includes data entry, bookkeeping, some administrative work, and even parts of customer service. Creative fields like writing and design are shifting too, but those careers will evolve rather than disappear, since people can use AI as a tool. What will always hold strong are careers that need human connection and decision making. Healthcare, therapy, education, skilled trades, and leadership roles rely on qualities that AI can’t copy. On top of that, careers that mix tech with problem solving, like AI ethics, cybersecurity, or data analysis, will keep growing. Bottom line: aim for a path that builds adaptability, critical thinking, and people skills. Those will keep you relevant no matter how much technology changes.
Teklemuz Ayenew Tesfay
Electrical Engineer, Software Developer, and Career Mentor
520
Answers
Ethiopia
Updated
Teklemuz Ayenew’s Answer
AI is transforming our work lives, offering new opportunities to rethink our careers. It's not just about change; it's about growth. Learning to work alongside AI can give you a significant advantage. Being comfortable with digital tools, understanding AI basics, and staying updated on new technologies like quantum computing can set you apart. People skilled in AI will be in high demand across various fields. For instance, software developers won't be replaced by AI; instead, their roles will expand. AI can handle routine coding, making development faster, but human creativity and decision-making are still crucial. AI needs human guidance and can't operate on its own. While not knowing AI might slow career progress, it doesn't mean you'll lose your job. Embracing learning and adapting to AI's impact on work is the best strategy.
Future careers will combine technology with human insight, addressing real-world issues and valuing human connection. The future is bright for those who are flexible, curious, and dedicated to meaningful work that grows with the world.
Future careers will combine technology with human insight, addressing real-world issues and valuing human connection. The future is bright for those who are flexible, curious, and dedicated to meaningful work that grows with the world.
Updated
Priyanka’s Answer
Some examples of jobs include data entry, customer service, retail cashier positions, and manufacturing roles.
Updated
Nicholas’s Answer
AI thrives on codified, repetitive tasks—anything that can be standardized and digitized. Generative AI accelerates this trend by handling language-based work (emails, reports, documentation) and structured data tasks.
What this means for career planning (white-collar perspective)?
Jobs most exposed: Entry-level white-collar roles, repetitive back-office functions, and transactional support.
Jobs gaining relevance: AI governance, data science, strategic decisions, change management, and roles blending human judgment with AI tools.
What can people start doing?:
Build AI aptitude (continuous learning)
Focus on critical thinking, business partnering, and influencing skills.
Explore agent management roles—overseeing AI systems and ensuring ethical use.
No one has a crystal ball to the future but we can prepare and adapt!
What this means for career planning (white-collar perspective)?
Jobs most exposed: Entry-level white-collar roles, repetitive back-office functions, and transactional support.
Jobs gaining relevance: AI governance, data science, strategic decisions, change management, and roles blending human judgment with AI tools.
What can people start doing?:
Build AI aptitude (continuous learning)
Focus on critical thinking, business partnering, and influencing skills.
Explore agent management roles—overseeing AI systems and ensuring ethical use.
No one has a crystal ball to the future but we can prepare and adapt!
Flor Mallanao Pinga, MSIS, MBA, PMP, CSM
Information Technology
2
Answers
Franklin Township, New Jersey
Updated
Flor Mallanao’s Answer
From my perspective, choosing a career path that genuinely aligns with your passion is absolutely essential. When you're passionate about what you do, it not only brings greater personal satisfaction but also fuels dedication and resilience in the face of challenges.
And in today's evolving professional landscape, I believe that incorporating Artificial Intelligence (AI) skills can significantly advance one's career and overall professional development. AI proficiency can lead to enhanced productivity and efficiency in daily tasks, and it also empowers better decision-making through more robust, data-driven insights. Considering the rapid advancements in technology, developing these skills could provide a substantial advantage in various industries.
And in today's evolving professional landscape, I believe that incorporating Artificial Intelligence (AI) skills can significantly advance one's career and overall professional development. AI proficiency can lead to enhanced productivity and efficiency in daily tasks, and it also empowers better decision-making through more robust, data-driven insights. Considering the rapid advancements in technology, developing these skills could provide a substantial advantage in various industries.
Updated
April’s Answer
AI is making attorneys less important since legal questions can be answered with a quick search. To avoid being affected by AI and technology, consider jobs in manual labor like electricians, plumbers, mechanics, or carpenters.
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