AI is headed towards Artificial General Intelligence (AGI), a reality in just a few short years.
AGI refers to a type of artificial intelligence that has the ability to understand, learn, and apply knowledge across a wide range of tasks at a level comparable to, or even beyond, human intelligence.
Unlike narrow AI, which excels at specific tasks (like image recognition or playing chess), AGI would be able to perform any cognitive task that a human can, adapt to new situations, and improve its capabilities over time without human intervention.
The emergence of AGI would fundamentally change how we think about and interact with technology.
What jobs will still be relevant in an age of AI that touches everything? And what new AI job opportunities will be available to use in the future?
Will Robots Take Your Job?
In my YouTube channel, I’ve talked a lot about job displacement both in the blue-collar and white-collar fields, particularly how AI is killing white-collar jobs because a lot of the work we do is redundant and can be easily automated right now with artificial narrow intelligence.
But this blog post is not about job displacement. Today we talk about job opportunities that the coming age of artificial general intelligence (AGI) is about to bring us.
What are the new jobs we can take advantage of?
A publication called Will Robots Take My Job generated a report on automation risk data.
The US Career Institute took this report and created a chart of the top 65 jobs that are the least likely to be replaced by robot automation.
What’s interesting is the US Career Institute put a job automation risk of 0% on these occupations, and they attached projected growth through 2032 to each of these occupations.
I have cross-referenced this report with what a lot of experts are saying about the opportunities that this AI age will open up.
This might spark some great ideas for you if you’re about to finish college, are in high school, or if you’re the parent of a kid that will be living in these new paradigms.
Top Jobs With The Lowest Risk of Automation
Let’s break down the report on the top 65 jobs that are safe from AI and robot automation.
Nurse Practitioners
The number one job paying over 100,000 a year, with projected growth through the 2030s in the 40% mark, is a nurse practitioner.
This one’s interesting because I think a lot of what humans do in the medical industry can and will be automated by very skilled humanoids, AI technology, and software.
But what we will still greatly need is the ability to socially connect with patients through emotional intelligence and interpersonal relationships. And that’s what a nurse practitioner is really good at.
Back when I was in college before I dropped out to pursue my passion for writing, I was actually going for an RN degree and I remember meeting a few nurse practitioners. They had amazing people skills and they were constantly dealing with sensitive situations.
I think it would be hard for AI to automate that.
Choreographers
Next on the list, interestingly enough, is choreographers.
These are the people who create dance routines, teach them, conduct rehearsals, and design costumes for performances.
You know those music videos with tens of millions of views on YouTube? Choreographers are the reason those videos exist.
That is a very complex role. And it’s interesting too, because that borders into the realm of experiences.
I think any job in the realm of experience, like dance and sports, we’re not going to want to see them fully replaced with robots.
We’re still going to cheer. We’re still going to want to watch beautiful, strong, amazing humans pair up against each other, play it out, fight it out, and dance it out.
I don’t think that’s going to go away for a while.
Medical and Science Professions
Right below choreographers, we have:
- Physician assistants
- Mental health counselors
- Nursing instructors
- Teachers
- Coaches
- Athletic trainers
- Physical therapists
- Occupational therapists
- Marriage and family therapists
- Art therapists
- Music therapists
- Social workers
- Bioengineers
- Psychology teachers
- Fitness and wellness coordinators
- Paramedics
- Preventive medicine physicians
- Pediatric surgeons
- Orthopedic surgeons
- Dermatologists
As we continue down the list, we see a lot of medical careers which makes sense because this is such a complex realm.
Highly Specialized Technology Roles
There are also some highly specialized technology roles like transportation engineers.
Until we have true AGI, it’s going to be difficult for AI to replicate the knowledge, skills, and management required in a career like that.
We’ve got a few other random jobs on the list like interior designers, landscape architects, fish and game wardens, CEOs, firefighters, mobile home installers, and directors of religious activities.
These 65 jobs that are predicted to grow in an era of automation are best fit for humans with great interpersonal skills.
Something I’ve talked about is working on having a high EQ versus just blanket logic.
Knowing how to empathize, communicate well with people, and listen more than you speak — those are skills that are going to be important for almost all of these roles.
Plus, it just comes down to specialty and experience in a certain realm.
The roles of coach, teacher, and therapist are highly specialized. You can’t just become a surgeon, a dermatologist, or a sports medicine physician overnight.
I think the most important thing is finding out what you really like doing and then getting really good at it because this puts you in a position of being hirable for those skills.
The Most In-Demand AI Job Opportunities
Now I wouldn’t take this report as black and white because AI could disrupt and change how these roles and jobs even work.
Several key roles have emerged as the backbone of AI-driven organizations, each with a distinct focus.
1. AI Engineer
AI engineers are the architects of AI systems. They design, develop, and implement the complex algorithms and models that power these intelligent systems. They need a robust understanding of machine learning, deep learning, and software engineering principles.
If you thrive on building sophisticated systems from the ground up, a career as an AI engineer might be a good fit.
2. Data Scientist
Data scientists are the detectives of the AI world. They sift through large amounts of data to extract valuable insights and patterns that drive business decisions.
Proficiency in statistics, machine learning algorithms, and data visualization tools are crucial skills for this role. Data scientists transform raw data into actionable knowledge.
3. Machine Learning Engineer
Machine learning engineers bridge data science and AI engineering. They are responsible for building and deploying algorithms that enable machines to learn from data. They specialize in creating scalable and efficient models that can adapt and improve.
Their expertise in machine learning theory, programming languages like Python, and cloud computing platforms is highly sought after in today’s job market.
But there’s more to discover in the world of AI. As the field evolves, we can expect even more specialized roles, pushing innovation boundaries and creating exciting career paths.
The landscape of AI jobs is dynamic and continues to expand. The table below showcases additional roles, providing a snapshot of the diversity within the field.
| Job Title | Median Salary (Approximate, USD/Year) | Key Responsibilities |
|---|---|---|
| Robotics Engineer | $109,000 – $200,000 | Design, build, and test robots or robotic systems. |
| AI Ethicist | $121,000 – $180,000 | Ensure AI technologies are developed and deployed ethically. |
| Data Engineer | $109,000 – $160,000 | Design and maintain data pipelines for AI applications. |
| Computer Vision Engineer | $124,000 – $190,000 | Develop systems for analyzing and interpreting visual data. |
I think we’re going to see a lot of new job titles in the engineering space.
For example, we won’t need generalized coders, but we will need smart tech geeks who have mastered ML and deep learning. Those are the building blocks of AGI, and we need those people to help us build AGI and create parameters around it.
Experimenting with building your own machine-learning models is one of the best ways to learn these skills. I think it’s really hard to get a college degree in machine learning or artificial intelligence because it’s changing so much. The models themselves are fundamentally changing as we saw with how o1 works compared to GPT-4.
If you’re in software engineering, focus on AI integration. How can you have AI do your job?
Another really hot field that I think will create a lot of occupations is autonomous systems and robotics. If robotics is indeed a $24 trillion industry, we’re going to need a lot of people to help us build these robots, bring next-generation models to life, and make them better.
Working hands-on on robotics projects is the best way to get close to the ground and build these skills.
What about the hardware needed to power AGI? Quantum computing? Specialized hardware that can support AGI? We’re going to need smart tech geeks willing to take up the role of quantum computing engineer and complex hardware roles.
Then there’s cybersecurity. AGI is going to pose a whole bunch of challenges in the cybersecurity realm. I think a lot of roles will open up in that area as well.
Data engineering, building the infrastructure for AGI, not to mention regulatory technology, is also going to open up a whole bunch of new careers.
Then there’s ethics and AI governance. How are we going to build policies and regulatory compliance structures around AGI? How are we going to help prepare and train an AGI-ready workforce?
I think these two areas will also open up a whole new bracket of job roles.
Critical thinking will be a key part of being able to work in AI ethics and governance. How can we review these models, spot hallucinations, and help correct them?
Building Your AI Skillset: Tips for Success
Thriving in the world of AI requires technical skills and soft skills. Both are equally important for individuals seeking to excel in this field.
Technical Prowess Is Just the Beginning
Developing a solid foundation in mathematics, statistics, and programming is essential. Familiarize yourself with languages like Python and R and machine learning libraries like TensorFlow and PyTorch.
Cloud computing experience, especially with platforms like AWS, Azure, or Google Cloud, is becoming increasingly valuable. Continuous learning and upskilling will be vital as AI technologies advance.
Beyond Technical Expertise: Cultivating Essential Skills for Success
When AGI arrives, soft skills will be just as crucial as technical know-how. Being able to explain complex tech concepts to people who aren’t in the field is super important. Plus, collaboration and teamwork really shine here since AI projects usually bring together folks from all sorts of backgrounds.
Problem-solving and critical thinking are at the heart of working with AI. You’ve got to be adaptable and quick on your feet since technology and methods change so fast.
How Can You Future-Proof Your Job?
The three best things you could do are:
First, learn continuously. I’ve never been prouder to identify as a lifelong learner because I feel like as I work in AI, I’m learning something new every day, and I’ve matched my passion for writing to building back-end prompts.
Secondly, build up your network. Meeting with people that speak the same language is really important.
And finally, adapting. Be open to changing how you think. Embrace the challenges that lie ahead.
This is the best way forward.
I think the opportunities that will open up in the AI age will be tremendous.
With the ability to drive the AI, we’re going to be able to accomplish so much more as a human race.
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