Artificial Intelligence (AI) and robotics have grown tremendously in the past few years. Both have revolutionized the way we interact with technology.
AI are computer systems that imitate human intelligence to perform tasks requiring cognitive abilities often unique to humans. Whereas robotics focuses on the design, construction, operation, and application of robots,
The domains of AI and robotics—expanding yet intersecting—offer many career opportunities.
This article will explore the different career paths within robotics and AI.
What is AI?
Artificial intelligence is a field of computer science that deals with machines that imitate human-like intelligence and cognitive functions such as learning, problem-solving, understanding natural language, and decision-making. You can use AI tools to code and create images, videos, audio, and more.
What is robotics?
Robotics is a multidisciplinary area that combines computer science, engineering, and mathematics. This involves creating intelligent machines that can accomplish tasks autonomously or with human aid. Robotics has a broad scope; it spans applications in industrial automation, healthcare, space exploration, entertainment, and defense.
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AI vs Robotics: A Career Comparison
If you possess a deep fascination for software, data, and abstract problem-solving, then AI is your calling. It involves data analysis, advanced algorithms, and rigorous statistical methods.
Jobs like machine-learning engineer, data scientist, and AI software developer are going to be in high demand in the coming future. According to the US Bureau of Labor Statistics, employment opportunities in computer science and information technology will grow by 11% from 2019 to 2029.
Alternatively, if you have an interest in hardware and mechanical design, you might find that robotics perfectly aligns with your passions. An understanding of mechanics and electronics is crucial in this field.
According to reports, the demand for engineers in robotics will increase by 6.4% by 2026. If you decide to pursue a career in this field, you can get jobs as a robotics engineer, a software engineer, or an automation engineer. These jobs are in demand and offer lucrative salaries.
Current projections show the robotics engineering professional market growing by 6.4% between 2016 and 2026. At the same time, the demand curve for robotics engineers continues to grow. More than 19,000 new jobs are projected to be formed in this field by 2029.
There is another in-demand job in the market, a blend of AI and robotics, predicted to result in breakthroughs in several industries, including logistics, healthcare, and service.
Jobs in AI
Exciting career paths in AI include:
- Data Scientist, where you analyze vast data sets, extract actionable insights, and construct predictive models.
- Machine Learning Engineer, where you will craft sophisticated algorithms and manage computer models that enable machines to autonomously execute complex tasks.
- AI Research Scientists, where your direction and expertise will be used to operate at the cutting edge of AI technologies.
- AI Ethics Officer, where you will monitor the ethical imperatives in deploying AI for different purposes.
You must have a strong foundation in computer science and mathematics if you want to get started in the field of AI. Additionally, you also need to have an understanding of machine learning algorithms.
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Jobs in Robotics
You can get the following jobs in robotics:
- Robotics Engineer, where designing robots, developing innovative applications, and conducting research to augment the capabilities of a robot, will be a core part of your job.
- Robotics technicians, where you will assemble and preserve these complex machines.
- Mechatronics Engineers, where you will weave together mechanical knowledge with electrical expertise and computer science principles.
- Robotics Systems Engineer, where you will actively manage the entire process of developing robotic systems, from their design to deployment.
You need to have either an engineering background, computer science education, or specialized robotics training if you want to make it big in robotics.
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Which pays more—AI or robotics?
Both AI and robotics are high-paying career options. Salaries can vary depending on factors such as experience, location, and specific job responsibilities. Here is the AI vs. robotics salary comparison:
According to Glassdoor, the average salary of an AI engineer in the United States is $100,000, and it can go as high as $150,000. In the United Kingdom, the median salary for the same role is around 60,000 pounds annually. Keep in mind that this is the average of the data provided by AI engineers. The salary will depend on the skills, qualifications, and employer.
On the other hand, a fresher working in an entry-level robotics job earns an average of $56,000 a year. Whereas, a senior and experienced professional can earn over $130,900 per year.
According to Salary Expert, the average payout for a robotics engineer in the United States is $117,600. Again, the salary will vary according to your skills, qualifications, experience, and organization.

So, based on the above data, we cannot provide a definite conclusion as to which jobs pay better, as both AI and robotics have, more or less, the same average salary.
The Bottom Line
Ultimately, the choice between the two rests on your shoulders. When you weigh the pros and cons of a career in AI or robotics, you must consider various factors, like personal interests and the foundational skills you wish to cultivate. Both are booming career options that will grow tremendously in the coming future.
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FAQs
The average salary of an AI engineer in the US is $110k. However, it will vary depending on the company, skills, qualifications, and experience.
A fresher in robotics earns an average of $56,000 a year. Whereas, a senior and experienced professional can earn over $130,900 per year. In the US, the mean salary of a robotics engineer is $117,600.
Yes. AI and robotics are rapidly growing fields with immense potential for the future. They are revolutionizing various industries and are expected to play a significant role in shaping the future of technology and automation.