Have you ever wondered what are the most popular jobs in 2025, especially in the field of technology? Well, you clicked on the right spot, because in this blog, I will share 7 popular careers and futures that should develop in 2025. This blog will be rich in value, because I will not only share the 7 careers in the field of technology, but also the required skills as well as remuneration at 3 different levels.
We use 3 main criteria to identify these roles. The first is obviously the proximity of these roles with AI. The second is the tendency to increase the number of jobs available and the third of course is the salary, because let’s be honest, money is important.
The first role is undoubtedly that of AI engineer. AI engineers are the architects of tomorrow. They use automatic learning, deep learning and neural networks to create tomorrow’s systems.
We already know that AI has transformed our way of working and our daily work, whether in finance, technology, health, education or other sectors. Imagine being the brain behind these transformations. This is why the AI engineer will be the most popular career in 2025 that you should consider.
The number 2 is cybersecurity. Cybersecurity engineers are digital guardians. Well, that was long. Consider cybersecurity engineers as people who protect us from cyber threats such as hacking, malicious software and many other things. With the rise of AI, cybersecurity threats are becoming more and more sophisticated.
And this is why cybersecurity engineers become a crucial element of the new ecosystem. They design and implement security measures, monitor intrusions and respond to incidents. Consider them as digital superheroes.
The number 3 is that of cloud architects or cloud engineers or cloud computing engineers or cloud developers.
These are all the roles that fall into this category and these are the people who design and create the infrastructure that takes care of these large commercial and technical solutions. We all know that cloud computing is in full swing, whether it is AWS, Google Cloud, Azure or other existing technologies. And with the rise of AI, there is a continuous demand that must be met to create an infrastructure that takes care of these AI applications.
Now, let’s talk about the next AI career in 2025. The fourth post will be a surprise. It’s about AI product managers.
I don’t know if you’ve seen these posts on LinkedIn, but the AI product manager post is one of the most popular posts, because it will develop the roadmap and the strategy to develop an AI product like ChatGPT. There is a product manager behind it who decides the next functionality of ChatGPT that we should launch. And that’s why we’re going to see an increase in the number of AI product managers and a growing demand from people who understand how AI works and how to make an AI product evolve.
For example, who decided that ChatGPT was going to work on a data interpreter or a data analyst capable of analyzing data? It’s a product manager. When they work on AI, they are called AI product managers. These are the skills required to become an AI product manager and this role is quite well paid.
The fifth post is that of a data scientist. My favorite role is that in 2025, the role of a data scientist will continue to grow. Data scientists cover the hidden trends in data and predict the future and they turn data into exploitable information in 2024, 2025 and beyond. Data scientists are here to stay and their demand should increase with the rise of AI and we’re going to see more knowledge of AI-focused areas that these data scientists will have to learn to evolve with AI.
Number six is that of full-stack software engineers. Software engineers who can manage both the back-end and the front-end. That’s where the term full-stack comes from.
Software engineers create convivial applications that meet the requirements. The demand for software engineers will continue to increase with the rise of AI, because any application related to AI that is created will require a software engineer’s talent to create it. An example of a software engineer working on AI is let’s say that there is a chatbot built on the basis of AI which will be built by a software engineer with a combination of AI engineers while working with an AI engineer. Number seven and you may have guessed it because I mentioned the AI engineer, I must mention the automatic learning engineer. The difference between automatic learning and the AI engineer is that the AI engineer focuses specifically on the development of AI.
While the automatic learning engineer could focus on the development of AI, they go well beyond what AI engineers do. For example, automatic learning engineers build recommendation systems. These recommendation systems can or cannot be built using AI.
So, in this case, the automatic learning engineer will continue to do what he does today and these roles will be essential in 2024, 2025 and beyond.
Do you agree with this analysis? Did something surprise you? Let me know if there are other roles that should be on this list.