Even though the tech industry took a hit in 2023 with lots of layoffs, some specific tech jobs are still in high demand both within and outside the industry. However, the combination of job cuts and the fast rise of generative AI tools in the past year has left many questioning the job security in the tech field.
During an interview with Bloomberg, Professor Christopher Pissarides, a Nobel Prize-winning economist, gave a heads-up to students about choosing STEM subjects. He warned that future opportunities in tech might not be as abundant as one might think.
In a follow-up radio interview, he made it clear that this is a forecast for the job market a decade or more in the future. It just goes to demonstrate how much things can shift in just ten years. Meanwhile, the ongoing ‘digital transformation’ is still a work in progress throughout Europe. With AI poised to revolutionize our work methods, it will not only bring about new roles and opportunities but also lead to the adaptation or replacement of existing ones.
Here are five tech jobs anticipated to endure, evolving alongside the trends in technology.
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Cybersecurity specialists
No doubt, the future digital scene will demand ongoing security, and with AI and quantum computing advancements, the threats are changing. Cybersecurity experts will figure out how to use these tools to their advantage, and having skills in critical thinking and foresight will be the key to securing a role in this field for the long haul.
Cybersecurity experts are in demand worldwide, and that opens up job possibilities in various locations. Whether it’s a bustling metropolis like Paris or Munich, a small French town like Nanterre or Aulnay-sous-Bois, or even the quaint English market town of Stafford, job seekers in this field have plenty of options to choose from.
Software developers
Even if AI becomes capable of generating code for different applications, it’s still most effective when used as a helpful tool with human supervision to ensure the results align with the desired specifications.
Collaborating with an AI copilot means having a solid grasp of software development basics, especially when it comes to troubleshooting. Developers might discover they’re writing less code on a daily basis, but they’ll still need to understand why a system isn’t functioning correctly and pinpoint where to focus their creative problem-solving skills.
Jumping on the ‘no-code’ bandwagon doesn’t imply a lack of expertise, but it could lead to smaller software development teams. With fewer positions up for grabs, job seekers can expect fiercer competition. Those who can demonstrate their knack for achieving more with fewer resources will likely shine in this scenario.
Software development gigs span various sectors. You might snag a role at big names like IBM, but you could also end up working on HR analytics, enhancing transportation services, or even contributing to the defense systems of the United States European Command in Germany.
AI and ML engineers
Software development gigs span various sectors. You might snag a role at big names like IBM, but you could also end up working on HR analytics, enhancing transportation services, or even contributing to the defense systems of the United States European Command in Germany.
As the years roll on, these roles are bound to transform just as swiftly as the industry itself. The future of AI/ML jobs is uncertain, with many unknowns about their specific shape, but there’s a widespread acknowledgment that possessing these skills will be crucial in the long run.
Numerous industries are still discovering the power of AI, and they’re turning to machine learning engineers for help. The current hiring trend in this field is looking for experts capable of leading the application of AI and ML in diverse settings, ranging from financial services and insurance to construction and architecture.
Experts might end up creating applications for various clients and industries, consulting with or relying on their current IT provider to figure out how they can enhance their business using cutting-edge technologies.
Also Read: Top five AI trends the banking world could see in 2024
Data scientists
We’ve moved past the ‘big data’ era, and after years of collecting massive amounts of data, it’s time to actually use it. This involves applying data science, not just for analytics that inform data-driven decisions but also for managing data well, cleansing and validating datasets, and transforming unstructured data lakes into something valuable.
Moreover, data scientists will play a crucial role in the advancement of AI and automation. They work on the frontline, crafting algorithms and predictive models that drive these developments.
A clear indicator of how data science will endure in the job market is the abundance of roles at every level. Whether it’s entry-level positions, trainee programs to guide you in the early stages of your career, or fully qualified managerial roles, opportunities abound.
Cloud architects
For colossal AI models to work and produce results for users, all the data processing needs to take place somewhere. That somewhere is the worldwide network of data centers commonly referred to as the cloud.
Our dependence on data and data processing is here to stay for the foreseeable future (and probably beyond), and we need cloud architects to make sure these systems remain operational, keeping the digital ecosystem running smoothly without any interruptions.
Since it’s a hands-on position, cloud architects may frequently need to be on-site. Joining a company that works with numerous clients in this field can offer chances for travel.
