How are AI and automation changing technology careers?

By Victoria Fellows

September 18, 2026

With the rise of AI and automation, it’s understandable to wonder how these technologies might affect your career. One of the biggest changes is the automation of routine technical tasks while increasing demand for professionals who can build, implement, manage and improve AI-powered systems. Rather than simply replacing technology jobs, AI is changing what many roles involve and creating specialist careers in areas such as AI engineering, machine learning and machine learning operations (MLOps).

For technology professionals, that means the skills employers value are evolving alongside the tools themselves.

Which technology tasks are AI and automation changing?

AI is increasingly able to support repetitive or time-consuming parts of technical work. In software development, for example, AI tools can assist with generating code, documentation, testing and debugging. Elsewhere, automation can help teams analyse data, monitor systems and streamline routine processes.

This doesn’t necessarily remove the need for the person doing the job. Instead, it can shift their focus towards tasks requiring greater technical judgement, problem-solving and creativity.

A Software Engineer who spends less time producing routine code may have more capacity for architecture and complex development. An engineer using automated testing tools still needs to understand the system, interpret results and decide how problems should be addressed.

As these tools improve, the ability to work effectively with AI and automation is likely to become increasingly important across technology careers.

What new technology careers is AI creating?

At the same time as changing established technology occupations, AI is increasing demand for specialist expertise.

AI and machine learning engineers develop and deploy intelligent systems and models. For instance, MLOps Engineers help organisations move machine learning models from development into reliable production environments, combining elements of machine learning, software engineering and DevOps.

Demand is also growing for expertise surrounding the AI ecosystem, including data engineering, AI infrastructure, semiconductor design and security. This reflects how AI has impacted the technology jobs market, where advances in one field have generated new requirements across several others.

Will AI replace technology jobs?

Some responsibilities will become automated and certain technology roles are likely to change significantly. However, AI also creates new technical challenges that require human expertise.

Organisations still need people with technology skills to determine which problems AI should solve, build the systems that support it, assess outputs, manage risks and make complex decisions.

Technical expertise therefore remains important, but professionals may increasingly need to combine it with AI literacy, adaptability and an understanding of how automation affects their field.

How can technology professionals prepare for AI and automation?

Technology professionals don’t necessarily need to become AI specialists. They do need to understand how AI is influencing their area of expertise.

Learning to use relevant AI tools, developing practical AI literacy and strengthening skills that complement automation can help professionals adapt as roles evolve. Deep expertise, cross-disciplinary knowledge, security awareness and complex problem-solving will remain particularly valuable.

The technology occupations of the future may look different from those of today, but AI is creating career opportunities as well as changing existing ones.

Contact us to discover where your expertise could take you next.