With the advancements in automation, AI and machine learning there is currently a lot of speculation about how these technologies will change, replace and redefine job roles. Jobs most at risk are, “on some level routine, repetitive and predictable,” however a recent study found that about 30% of tasks in 60% of occupations could be computerised.
So, which jobs are at least risk of being made defunct? While nothing is ever certain, here are 5 tech jobs experts predict will continue to be in high demand:
AI and machine learning are already playing a key part in the cybersecurity field to highlight the risk to human cybersecurity professionals. “We see this as aggressively advancing their [Cyber Security professionals] capabilities, leading to more advanced threat management systems that automatically learn through reinforced training and more innovative ways to reduce risk,” said Gartner research director, Carlton Sapp.
Although AI is picking up some of the legwork for Cyber Security experts it doesn’t look like they’ll be out of a job for the foreseeable future. AI is also being used to develop cyber attacks and as cybercrime increase as will the need for cybersecurity specialists.
“AI-infused BI will somewhat, albeit not completely, automate all of the steps necessary to transform data into formats and models that BI tools can work with—relational structures, and so on,” Boris Evelson, vice president and principal analyst at Forrester Research said. “This includes machine learning-based data discovery and machine learning-based data curation—cleansing, integration and so on.” These advancements will ultimately mean more data will be available for analysis and therefore more analysts will be required.
There has been a 54% increase in people searching for data science roles in the UK over the last year according to a recent study by Indeed. Automation and AI will help reduce routine data-driven tasks needed to be carried out by data scientists, however, similarly to BI Analysts, people with specific scientific expertise will still be required to discover the stories hidden within the data.
People are using 3 different devices on average as part of their daily lives and with the advancement of technologies, such as the Internet of Things and wearables, this number is set to increase. Forrester researcher, Nate Meneer predicts that the demand for App Developers will continue to grow and their role will be vital, “it’s really the intersection of where technical capability comes to face the business need.” Although the role will continue to be considered important Forrester analyst, Andrew Bartels, comments that the role may develop where the focus will be more on identifying a need and designing what the code would look like rather than creating the actual code.
As more businesses rely on cloud software the demand for DevOps will continue to grow. Spending in both the private sectors and public sectors has grown year on year and is expected to continue to grow well into 2026.
“Every single company wants to run their organisation as efficiently and as effectively as possible, because that’s one of the biggest cost enters,” Raj Mukherjee, SVP at Indeed said. “DevOps plays a very important role in driving better efficiency and delivering software faster for those companies.” As more companies adopt these practices it will encourage their competitors to deploy the same if not better practices and will likely push demand forward indefinitely.
The demand will continue in the future as DevOps professionals also require soft skills, “great DevOps engineers start by understanding the people, the culture, and how the organization runs,” Alan Zucker, founding principal of Project Management Essentials said. “They then build a strategy that focuses on simplifying the overall operating environment to achieve the goal of continuous delivery.”
When it comes to highly skilled roles, automation and AI are likely to enhance the capabilities of experts rather than eliminate their job roles. These new technologies should allow specialists to take centre stage, augmenting the workforce with machines so humans are able to focus on high-level analysis, team management and innovation. “Having a really clear understanding of how the technology is leveraged to improve business processes and how that pulls into strategy is also going to be increasingly important things that shouldn’t be forgotten as tech workers contemplate their careers,” Meneer said.