
A recurring fear in the tech industry is that artificial
intelligence will make software engineers obsolete. Headlines regularly suggest
that AI can now write code faster, cheaper, and without human error — prompting
many people to ask a broader question: is it still worth investing time and
energy into learning technical skills at all?
The answer is more nuanced than a simple yes or no. And,
importantly, it tells us a great deal about how the job market as a whole is
evolving.
The real issue isn’t technical — it’s human
At first glance, the threat seems technical: Can AI write
better code than humans?
But in reality, the deeper issue is a people problem rather than a purely
technological one.
Even if AI-generated code is imperfect, business leaders may
still decide to replace human roles to reduce costs or increase speed. This
means job security is influenced not only by what AI can do, but by how
organisations choose to use it. As a result, uncertainty exists
regardless of whether AI is truly “better” than humans at programming.
Two likely futures for coding roles
Rather than a single outcome, the future of programming sits
on a spectrum of risk, with two scenarios emerging most clearly.
1. The role transforms — rather than disappears
Coding remains a job, but the nature of the work changes
significantly. AI increasingly handles repetitive, tool-heavy tasks — the kind
often described as “grunt work”. Humans, meanwhile, focus on system design,
decision-making, debugging, and problem-solving.
This shift is already visible. Junior roles, that
traditionally involve repetitive tasks are becoming harder to find, while
senior roles that require judgement, context, and accountability remain in
demand.
2. New technical roles emerge
Some traditional software engineering jobs may disappear
altogether — but they are likely to be replaced by new roles we are only
beginning to define. These may include:
- Managing
and coordinating teams of AI agents
- Designing
and maintaining AI-driven workflows
- Acting
as technical translators between business strategy and AI systems
As technology becomes more embedded in every industry,
demand for people who understand how systems work — even if they are no longer
writing every line of code — is likely to grow.
So… is learning to code still worth it?
Yes — but with an important caveat.
Learning to code remains valuable because it builds
foundational understanding:
- You
cannot debug or oversee complex systems without knowing what the code is
doing
- Code
literacy underpins more advanced technical, analytical, and strategic
roles
A career in programming is still a strong option if you are
adaptable and open to evolving how you work. It becomes risky only if your
identity is tied exclusively to writing code by hand, rather than understanding
systems, solving problems, and guiding outcomes.
What this tells us about the wider job market
This pattern is not unique to tech
Across industries, roles that are:
- Highly
repetitive
- Narrowly
defined
- Dependent
on a single tool or process
are becoming increasingly vulnerable to automation.
Meanwhile, roles that combine technical understanding with
human skills — such as judgement, communication, ethical decision-making,
creativity, and contextual awareness — are becoming more resilient.
In other words, the job market is shifting away from tasks
and towards capabilities.
The real skill of the future: adaptability
The most valuable professionals in the coming years will not
be those who cling to a fixed job title, but those who can:
- Learn
continuously
- Redefine
their role as tools evolve
- Transfer
their skills across contexts
Learning to code in 2026 is not just about becoming a
programmer. It is about learning how systems work — and positioning yourself to
grow alongside them.
If you’re unsure where your skills fit in this changing landscape, taking time to reflect on what you enjoy, how you learn, and what kind of problems you want to solve can provide clarity. That self-understanding is just as important as any technical skill — and often the missing piece when navigating a rapidly changing job market. And if you’re considering learning new skills, changing direction, or adapting your current role, understanding what you actually want from your work is a crucial first step. A free career assessment can help you identify patterns and priorities before making your next move.