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What types of careers do you predict will be in demand in 10 years after artificial intelligence becomes integrated in the workplace?
Seeking advice to share with students as they are deciding what careers to pursue as they leave high school.
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5 answers
Updated
Dr’s Answer
Meleah, this is such an important question, and I love that you’re thinking about it for your students! AI is definitely shaking things up, but instead of replacing everything, it’s more like a massive upgrade—changing how we work, not making people obsolete. The best approach isn’t to fear it but to figure out how to work with it and use it to our advantage.
A lot of great advice has already been shared—AI will create new jobs, shift responsibilities, and make some tasks easier. But at the core of it, human skills—like creativity, problem-solving, emotional intelligence, and hands-on work—aren’t going anywhere. The future belongs to those who can adapt, think critically, and use AI as a tool rather than seeing it as competition.
Tech-related careers are a clear choice since AI doesn’t run itself. There will always be a need for people to design, train, and maintain these systems. Machine learning engineers, AI specialists, data scientists, and cybersecurity experts will be in demand, not just to build AI but also to make sure it’s working correctly, ethically, and safely. Businesses are already struggling to find AI talent, so this field isn’t slowing down anytime soon.
At the same time, AI won’t replace jobs that require human connection, creativity, or physical presence. Healthcare is a great example—AI can assist in diagnosis, analyze patient data, and even help with robotic surgeries, but it’s not going to replace doctors, nurses, therapists, or anyone who provides hands-on care. If anything, people in medicine who understand how to use AI effectively will have a huge advantage.
The same goes for psychology and human behavior fields. AI is good at processing data, but it doesn’t understand emotions, decision-making, or human nature like people do. There will be a growing need for psychologists, counselors, and even AI ethics specialists to make sure technology is being used responsibly. Corporate mental health coaching, helping businesses and employees navigate AI-driven workplaces, could also be a big opportunity.
Creative industries are shifting, but they’re not disappearing. AI can generate content, but it lacks true originality, storytelling, and artistic depth. Writers, musicians, designers, and filmmakers who embrace AI as a tool rather than a threat will have an edge. Those who specialize in AI-assisted creativity—like game designers using AI for world-building or musicians using AI-generated sounds in unique ways—will be in high demand.
Skilled trades are another area where AI won’t take over. Plumbers, electricians, mechanics, and construction workers do jobs that require hands-on problem-solving in unpredictable environments. AI can optimize workflows, but it’s not fixing a broken pipe under someone’s sink. These jobs aren’t just safe; they might even become more valuable as fewer people go into them.
There’s also an interesting space emerging where AI and sustainability meet. Engineers, urban planners, and environmental scientists will be needed to figure out how to integrate AI into energy-efficient systems, smart cities, and climate solutions. The more AI is used, the more infrastructure is needed to support it—server farms, cooling systems, sustainable energy sources—and that means job opportunities in green tech.
Even something as simple as working with AI itself is a career. AI trainers, who teach models how to respond better, and quality assurance testers, who make sure AI doesn’t make mistakes, will be needed to refine and guide the technology. The more AI is used, the more people will be required to monitor, correct, and improve it.
It all comes down to choosing a career that involves thinking, solving problems, and adapting—things AI isn’t great at. The safest careers aren’t necessarily the ones that avoid AI, but the ones that make the most of it. Whatever students choose, staying flexible, learning continuously, and developing a mix of technical and human skills will make the biggest difference. The future isn’t about AI replacing people—it’s about people who know how to use AI leading the way. Hope this helps out clear things and if you got furhtur questions don't hesitate to ask! 🤗 Good luck!
A lot of great advice has already been shared—AI will create new jobs, shift responsibilities, and make some tasks easier. But at the core of it, human skills—like creativity, problem-solving, emotional intelligence, and hands-on work—aren’t going anywhere. The future belongs to those who can adapt, think critically, and use AI as a tool rather than seeing it as competition.
Tech-related careers are a clear choice since AI doesn’t run itself. There will always be a need for people to design, train, and maintain these systems. Machine learning engineers, AI specialists, data scientists, and cybersecurity experts will be in demand, not just to build AI but also to make sure it’s working correctly, ethically, and safely. Businesses are already struggling to find AI talent, so this field isn’t slowing down anytime soon.
At the same time, AI won’t replace jobs that require human connection, creativity, or physical presence. Healthcare is a great example—AI can assist in diagnosis, analyze patient data, and even help with robotic surgeries, but it’s not going to replace doctors, nurses, therapists, or anyone who provides hands-on care. If anything, people in medicine who understand how to use AI effectively will have a huge advantage.
The same goes for psychology and human behavior fields. AI is good at processing data, but it doesn’t understand emotions, decision-making, or human nature like people do. There will be a growing need for psychologists, counselors, and even AI ethics specialists to make sure technology is being used responsibly. Corporate mental health coaching, helping businesses and employees navigate AI-driven workplaces, could also be a big opportunity.
Creative industries are shifting, but they’re not disappearing. AI can generate content, but it lacks true originality, storytelling, and artistic depth. Writers, musicians, designers, and filmmakers who embrace AI as a tool rather than a threat will have an edge. Those who specialize in AI-assisted creativity—like game designers using AI for world-building or musicians using AI-generated sounds in unique ways—will be in high demand.
Skilled trades are another area where AI won’t take over. Plumbers, electricians, mechanics, and construction workers do jobs that require hands-on problem-solving in unpredictable environments. AI can optimize workflows, but it’s not fixing a broken pipe under someone’s sink. These jobs aren’t just safe; they might even become more valuable as fewer people go into them.
There’s also an interesting space emerging where AI and sustainability meet. Engineers, urban planners, and environmental scientists will be needed to figure out how to integrate AI into energy-efficient systems, smart cities, and climate solutions. The more AI is used, the more infrastructure is needed to support it—server farms, cooling systems, sustainable energy sources—and that means job opportunities in green tech.
Even something as simple as working with AI itself is a career. AI trainers, who teach models how to respond better, and quality assurance testers, who make sure AI doesn’t make mistakes, will be needed to refine and guide the technology. The more AI is used, the more people will be required to monitor, correct, and improve it.
It all comes down to choosing a career that involves thinking, solving problems, and adapting—things AI isn’t great at. The safest careers aren’t necessarily the ones that avoid AI, but the ones that make the most of it. Whatever students choose, staying flexible, learning continuously, and developing a mix of technical and human skills will make the biggest difference. The future isn’t about AI replacing people—it’s about people who know how to use AI leading the way. Hope this helps out clear things and if you got furhtur questions don't hesitate to ask! 🤗 Good luck!
Updated
Michelle’s Answer
Hello, Meleah !
It's difficult to predict what will happen ten hours from now, let alone ten years from now. I always advise students to follow their interests, passions and something they feel drawn to as they will spend many decades of their life doing it. There are two main factors that come to mind to lay the foundation for possibly predicting what could happen.
One is that there will be people that choose not to use artificial intelligence in their work and rely on their self-creativity, inspiration and mission and are capable of doing a job without artificial technical production for their work. The second factor is that it will depend on government policy, if artificial intelligence becomes mandatory or stays optional to use. So, it's hard to tell right now what is going to happen.
In my field, the entertainment industry, artificial intelligence has been greatly embraced. I can tell an artificial intelligence project from a traditionally made one from ten feet away. It's all in what one is willing to accept and there are a lot of flaws with artificial intelligence produced video projects, with wrong pronunciation of words in voice overs and wrong clips inserted that have nothing to do with the subject. It's all in the workers/students' personal values and what they will accept. We are at a point where we can expect improvements, but it will still come down to people's personal needs and policy.
There will always be a need for IT Professionals to program company's artificial intelligence programs. Business Ownership may still be a career available. I think that things like plumbers. painters, massage therapists and instructors will still be around. The Human Resources field is already using artificial intelligence to interview applicants. Many of the medical fields may use artificial intelligence to prepare for procedures, but I am guessing that someone with eyes, ears and other innate capabilities is going to be needed to perform hands on work. I think any careers that involved human touch and talking in the moment will still be available. Positions such as Lawyers, Paralegals and social service hands on workers will still be continuing. Some careers may have a mix of artificial intelligence and human expedients.
So my answer really is: it is going to depend. It's just going to be a process that takes it's course and we'll see along the way. I would advise students to explore their interests and learn how artificial intelligence is being used today in the career they are interested in. They can make a decision if they see that the particular career wouldn't be affected much or if artificial intelligence will make the job obsolete like 8 track tapes !
Best wishes in guiding your students with their careers ! Hopefully, in ten years, they will still have a choice in what they dedicate their life to.
It's difficult to predict what will happen ten hours from now, let alone ten years from now. I always advise students to follow their interests, passions and something they feel drawn to as they will spend many decades of their life doing it. There are two main factors that come to mind to lay the foundation for possibly predicting what could happen.
One is that there will be people that choose not to use artificial intelligence in their work and rely on their self-creativity, inspiration and mission and are capable of doing a job without artificial technical production for their work. The second factor is that it will depend on government policy, if artificial intelligence becomes mandatory or stays optional to use. So, it's hard to tell right now what is going to happen.
In my field, the entertainment industry, artificial intelligence has been greatly embraced. I can tell an artificial intelligence project from a traditionally made one from ten feet away. It's all in what one is willing to accept and there are a lot of flaws with artificial intelligence produced video projects, with wrong pronunciation of words in voice overs and wrong clips inserted that have nothing to do with the subject. It's all in the workers/students' personal values and what they will accept. We are at a point where we can expect improvements, but it will still come down to people's personal needs and policy.
There will always be a need for IT Professionals to program company's artificial intelligence programs. Business Ownership may still be a career available. I think that things like plumbers. painters, massage therapists and instructors will still be around. The Human Resources field is already using artificial intelligence to interview applicants. Many of the medical fields may use artificial intelligence to prepare for procedures, but I am guessing that someone with eyes, ears and other innate capabilities is going to be needed to perform hands on work. I think any careers that involved human touch and talking in the moment will still be available. Positions such as Lawyers, Paralegals and social service hands on workers will still be continuing. Some careers may have a mix of artificial intelligence and human expedients.
So my answer really is: it is going to depend. It's just going to be a process that takes it's course and we'll see along the way. I would advise students to explore their interests and learn how artificial intelligence is being used today in the career they are interested in. They can make a decision if they see that the particular career wouldn't be affected much or if artificial intelligence will make the job obsolete like 8 track tapes !
Best wishes in guiding your students with their careers ! Hopefully, in ten years, they will still have a choice in what they dedicate their life to.
Updated
Doc’s Answer
Meleah many of today’s leading professions didn’t exist just a few years ago. And this trend is poised to continue through the years to come. Artificial intelligence (AI) advancements are predicted to create more jobs than they take. In the midst of unpredictable market shifts, top brands aren’t just investing in this emerging technology; they’re leveraging it to cut costs, save time, and step ahead of the competition. Businesses everywhere race to develop and master the latest AI tools, but a tool is only as strong as the talent behind it. And true AI specialists remain in short supply. More than half of companies admit they don’t yet have the right AI talent to bring their strategies to life.
🔷 MACHINE LEARNING ENGINEER
Machine learning (ML) is the innovation at the center of the AI talent rush. ML systems leverage data and algorithms to improve their own accuracy over time. Machine learning engineers design, test and enhance these algorithms, enabling AI to emulate the way humans learn. From facial recognition to predictive analytics and automation, the technology has countless real-world applications, and companies are investing heavily in it.
🔷 ROBOTICS ENGINEER
A record 4 million robots were recorded being operated in factories around the world. From assembling cars to exploring mars, these advanced machines are automating all kinds of tasks, but they aren’t creating themselves. Robotics engineers design, build and program robots and robotic systems, ensuring the machines are safe and functional. These skilled experts are often responsible for everything from constructing robotics to testing and elevating them.
🔷 DATA SCIENTIST
The US Department of Labor projects around 20,800 new data science jobs open each year. These in-demand AI experts use machine learning models to analyze information and make data-driven predictions. While data scientists collaborate with machine learning engineers to build the algorithms, data scientists are primarily responsible for leveraging AI tools to collect information and derive insights. As AI can process and assess enormous datasets in real time, these scientists use it to uncover the patterns that humans otherwise couldn’t.
🔷 CHAT OT DEVELOPERS
Chatbots processing has seen a 92% increase in usage. They aren’t new, but they are of newfound importance. So are the AI experts responsible for designing, creating and maintaining them. Chatbot developers must master AI and natural language processing (NLP) to empower bots to understand users, sound like humans, and engage people in helpful conversations. With the recent rise in virtual assistants and customer support automation, these developers and engineers have been more critical than ever before in recent years.
AI SOLUTIONS ARCHITECT
72% of businesses used AI in at least one business function, and leaders everywhere plan to incorporate it into their processes. However, efficient adoption and integration remain a challenge. Across industries, IT leaders struggle to move critical AI projects forward. Combining extensive research with experience, AI solutions architects help companies adapt. These in-demand professionals assess which AI tools, products or services would be best for a company to build or use.
Hope this was helpful Meleah
🔷 MACHINE LEARNING ENGINEER
Machine learning (ML) is the innovation at the center of the AI talent rush. ML systems leverage data and algorithms to improve their own accuracy over time. Machine learning engineers design, test and enhance these algorithms, enabling AI to emulate the way humans learn. From facial recognition to predictive analytics and automation, the technology has countless real-world applications, and companies are investing heavily in it.
🔷 ROBOTICS ENGINEER
A record 4 million robots were recorded being operated in factories around the world. From assembling cars to exploring mars, these advanced machines are automating all kinds of tasks, but they aren’t creating themselves. Robotics engineers design, build and program robots and robotic systems, ensuring the machines are safe and functional. These skilled experts are often responsible for everything from constructing robotics to testing and elevating them.
🔷 DATA SCIENTIST
The US Department of Labor projects around 20,800 new data science jobs open each year. These in-demand AI experts use machine learning models to analyze information and make data-driven predictions. While data scientists collaborate with machine learning engineers to build the algorithms, data scientists are primarily responsible for leveraging AI tools to collect information and derive insights. As AI can process and assess enormous datasets in real time, these scientists use it to uncover the patterns that humans otherwise couldn’t.
🔷 CHAT OT DEVELOPERS
Chatbots processing has seen a 92% increase in usage. They aren’t new, but they are of newfound importance. So are the AI experts responsible for designing, creating and maintaining them. Chatbot developers must master AI and natural language processing (NLP) to empower bots to understand users, sound like humans, and engage people in helpful conversations. With the recent rise in virtual assistants and customer support automation, these developers and engineers have been more critical than ever before in recent years.
AI SOLUTIONS ARCHITECT
72% of businesses used AI in at least one business function, and leaders everywhere plan to incorporate it into their processes. However, efficient adoption and integration remain a challenge. Across industries, IT leaders struggle to move critical AI projects forward. Combining extensive research with experience, AI solutions architects help companies adapt. These in-demand professionals assess which AI tools, products or services would be best for a company to build or use.
Hope this was helpful Meleah
Updated
David’s Answer
As AI becomes more deeply integrated into the workplace, I see a major shift in the types of careers that will be in high demand. While automation will take over many repetitive tasks, there will always be a need for professionals who can design, optimize, and oversee AI-driven systems. Here are some careers I predict will thrive in the next decade:
AI and Machine Learning Specialists – If you have a passion for coding, data, and problem-solving, specializing in AI and machine learning could be a game-changer. Companies will always need experts to develop and fine-tune AI models for automation, decision-making, and predictive analytics.
Data Scientists and Analysts – With AI generating massive amounts of data, businesses will rely on skilled professionals to interpret that data, find patterns, and extract meaningful insights to drive decision-making.
Cybersecurity Specialists – As AI advances, so do cyber threats. If you enjoy tackling complex security challenges, this field will be critical in safeguarding AI-powered systems from hacking, fraud, and data breaches.
AI Ethics and Compliance Officers – AI isn’t just about efficiency; it also raises ethical and legal concerns. Professionals in this field will ensure AI systems are transparent, unbiased, and aligned with data privacy regulations.
Human-AI Collaboration Specialists – The future isn’t just about AI replacing jobs—it’s about AI working with people. If you’re interested in bridging the gap between technology and human interaction, this role will be essential for making AI tools more intuitive and effective in the workplace.
Robotics Engineers – From self-driving cars to automated warehouses, AI-driven robotics will revolutionize industries. If you love engineering and automation, this could be an exciting career path with endless possibilities.
AI-Assisted Healthcare Professionals – AI won’t replace doctors, but it will enhance medical decision-making, diagnostics, and treatment plans. If you’re in the healthcare field, learning to work alongside AI tools will be a huge advantage.
Sustainable and Green Tech Engineers – AI is already playing a role in tackling climate change, from smart energy grids to environmental monitoring. If you're passionate about sustainability and technology, this field will continue to grow.
AI-Augmented Creative Professionals – AI is transforming creative fields, from graphic design to music composition and content creation. If you’re in a creative industry, mastering AI-powered tools could give you a major edge.
AI System Auditors and Quality Assurance Experts – AI models aren’t perfect, and they need constant evaluation to prevent errors, biases, and unintended consequences. If you have a detail-oriented mindset, this could be a highly valuable role.
At the end of the day, AI isn’t here to replace human skills—it’s here to enhance them. The key to staying ahead in the workforce will be adapting, upskilling, and learning how to work with AI rather than against it.
AI and Machine Learning Specialists – If you have a passion for coding, data, and problem-solving, specializing in AI and machine learning could be a game-changer. Companies will always need experts to develop and fine-tune AI models for automation, decision-making, and predictive analytics.
Data Scientists and Analysts – With AI generating massive amounts of data, businesses will rely on skilled professionals to interpret that data, find patterns, and extract meaningful insights to drive decision-making.
Cybersecurity Specialists – As AI advances, so do cyber threats. If you enjoy tackling complex security challenges, this field will be critical in safeguarding AI-powered systems from hacking, fraud, and data breaches.
AI Ethics and Compliance Officers – AI isn’t just about efficiency; it also raises ethical and legal concerns. Professionals in this field will ensure AI systems are transparent, unbiased, and aligned with data privacy regulations.
Human-AI Collaboration Specialists – The future isn’t just about AI replacing jobs—it’s about AI working with people. If you’re interested in bridging the gap between technology and human interaction, this role will be essential for making AI tools more intuitive and effective in the workplace.
Robotics Engineers – From self-driving cars to automated warehouses, AI-driven robotics will revolutionize industries. If you love engineering and automation, this could be an exciting career path with endless possibilities.
AI-Assisted Healthcare Professionals – AI won’t replace doctors, but it will enhance medical decision-making, diagnostics, and treatment plans. If you’re in the healthcare field, learning to work alongside AI tools will be a huge advantage.
Sustainable and Green Tech Engineers – AI is already playing a role in tackling climate change, from smart energy grids to environmental monitoring. If you're passionate about sustainability and technology, this field will continue to grow.
AI-Augmented Creative Professionals – AI is transforming creative fields, from graphic design to music composition and content creation. If you’re in a creative industry, mastering AI-powered tools could give you a major edge.
AI System Auditors and Quality Assurance Experts – AI models aren’t perfect, and they need constant evaluation to prevent errors, biases, and unintended consequences. If you have a detail-oriented mindset, this could be a highly valuable role.
At the end of the day, AI isn’t here to replace human skills—it’s here to enhance them. The key to staying ahead in the workforce will be adapting, upskilling, and learning how to work with AI rather than against it.
Updated
Patrick’s Answer
Hi, Meleah -- that's a great question. You've got some all-star responses here already. I'll take a swing:
1. Psychology. Artificial intelligence is NOT artificial behavior. Not yet. With machine learning now, next is machine behavior. If we can teach AI how to have better AB, we all win. Get in on this action. Also, child psychologists or wellness professionals to help educators and parents' guide their children through the differences of AI content and daily processes vs real people interactions and human-made content or creations. Think also about corporate or executive psychological coaching at the AI level.
2. Languages. The more commonly regarded difficult languages. Russian, Chinese, etc. Practical due to expanding business in those areas, but also the complexities of coding, which is language, are going to need people who are very comfortable switching complex languages to simple ones, back and forth. Quickly. Again, and again. Travel, Negotiations, Legal and Business teams need everything from language interpreters now to code interpreters. You can become an MCI, or Multi-Code Interpreter. I don't know if that's actually a real job title. But it sounds cool. Needs brains who can multi-speak, and multi-get it. Read code, read a Russian materials map, read a Chinese cloud satellite chart, etc. Easily, quickly.
3. Render Real Estate. Okay, I don't know if it's actually called something like that either but consider with all the computation needs that go with AI, it's got to be pushed through processors and cooling warehouses. Where to do all that? Finding proper real estate to accommodate everything from square footage to utility and supply access to waste to environmental impact, etc. Working with everyone from engineers to meteorologists to biologists, etc. Becoming an expert on how to properly accomplish AI on a physical, organic and sustainable level while serving all of humanity checks the right boxes. Definitely going to be needed.
AI is going to have good and bad impacts, depending on how we grow it. That means a whole of interesting opportunities, and jobs, are waiting for us, or to be created by us. So go be and part of that, and best of luck. Thank you, Meleah!
Patrick
1. Psychology. Artificial intelligence is NOT artificial behavior. Not yet. With machine learning now, next is machine behavior. If we can teach AI how to have better AB, we all win. Get in on this action. Also, child psychologists or wellness professionals to help educators and parents' guide their children through the differences of AI content and daily processes vs real people interactions and human-made content or creations. Think also about corporate or executive psychological coaching at the AI level.
2. Languages. The more commonly regarded difficult languages. Russian, Chinese, etc. Practical due to expanding business in those areas, but also the complexities of coding, which is language, are going to need people who are very comfortable switching complex languages to simple ones, back and forth. Quickly. Again, and again. Travel, Negotiations, Legal and Business teams need everything from language interpreters now to code interpreters. You can become an MCI, or Multi-Code Interpreter. I don't know if that's actually a real job title. But it sounds cool. Needs brains who can multi-speak, and multi-get it. Read code, read a Russian materials map, read a Chinese cloud satellite chart, etc. Easily, quickly.
3. Render Real Estate. Okay, I don't know if it's actually called something like that either but consider with all the computation needs that go with AI, it's got to be pushed through processors and cooling warehouses. Where to do all that? Finding proper real estate to accommodate everything from square footage to utility and supply access to waste to environmental impact, etc. Working with everyone from engineers to meteorologists to biologists, etc. Becoming an expert on how to properly accomplish AI on a physical, organic and sustainable level while serving all of humanity checks the right boxes. Definitely going to be needed.
AI is going to have good and bad impacts, depending on how we grow it. That means a whole of interesting opportunities, and jobs, are waiting for us, or to be created by us. So go be and part of that, and best of luck. Thank you, Meleah!
Patrick