Will AI Take Developers’ Jobs?
Will AI replace software developers? What are the real forecasts for the IT job market, and how can both developers and companies prepare for what’s coming? That’s exactly what we’ll cover in this episode.
Hi, this is Kamil Tarczyński. Welcome to another episode of the Just No Code podcast. Today we’re talking about the IT job market in the age of AI. And if you’re already tired of reading news and posts about artificial intelligence, I have some bad news for you — this is not a temporary trend. What we’re seeing today isn’t based on expert opinions or predictions. It’s based on real job postings published over the last several months.
Will AI Replace Software Developers?
The short answer is: no. In its current form, AI does not replace developers. What it does is significantly change how developers work. It speeds up development, generates code, and automates repetitive tasks — but it does not take responsibility for the final outcome.
That responsibility still lies with the developer:
- ensuring the system works correctly,
- taking accountability for bugs,
- verifying the generated code,
- guaranteeing quality and reliability.
AI-generated code is getting better and better, but it still:
- makes mistakes,
- hallucinates,
- lacks full business context.
And this is exactly where human developers still have a clear advantage.
How Developer Roles Are Changing
IT roles are not disappearing, but they are evolving. The scope of responsibility for developers is expanding, which is clearly shown in global labor market reports, including those from the World Economic Forum.
Today, companies expect that:
- AI is a standard part of daily work,
- even junior developers can use AI in real tasks,
- developers understand that AI can be wrong and know how to evaluate its output. AI is no longer a curiosity — it has become a required skill, something we can clearly see in job market analyses from platforms like Indeed.
AI as a Standard Development Tool
For many companies, it’s now obvious that:
- AI enables developers to generate more code faster,
- productivity increases significantly,
- the overall cost of software development goes down.
But this also means one thing: expectations for developers are higher than ever.
Cloud and Infrastructure Are Now Core Skills
As AI adoption grows, so does the importance of:
- cloud platforms (AWS, Google Cloud, Azure),
- infrastructure scaling,
- cost monitoring,
- system security.
AI generates real, ongoing costs. As a result, developers increasingly need to:
- understand deployment,
- manage environments,
- think about performance and cloud spend.
Roles are becoming more hybrid. In many projects, especially smaller or mid-sized ones, developers are expected to be more of an “orchestra conductor” than a single-instrument specialist.
The Most Valuable Skill: Problem Solving
The most valuable developers today are not the ones who write the most code, but the ones who:
- understand why something doesn’t work,
- grasp the client’s business problem,
- can propose a practical and effective solution.
Businesses don’t care how elegant the code is — they care whether it works.
If, as a developer, you can:
- analyze problems independently,
- propose solutions,
- understand business context,
your value on the job market increases dramatically.
Security in the Age of AI
More AI means:
- more data,
- more integrations,
- more autonomous decisions,
- more potential risks.
Code generated by AI is not automatically secure. Developers must:
- enforce security standards,
- review and validate code,
- understand risks,
- actively mitigate them.
Security is still a human responsibility.
No-Code, Low-Code, and AI — Threat or Opportunity?
We’ve seen this story before.
The same fears appeared with:
- no-code,
- low-code,
- cloud computing,
- DevOps.
Each time, people said these technologies would eliminate developers. In reality:
- more software was built,
- barriers to entry were lowered,
- demand for skilled professionals increased.
AI follows the same pattern. It democratizes access to technology, which leads to:
- more products,
- more validated ideas,
- greater demand for people who can connect all the pieces.
How Software Houses Are Affected
For software houses, this shift isn’t always comfortable:
- individual projects are cheaper,
- margins are under pressure,
- teams need to deliver more projects.
But:
- complex systems still require experienced teams,
- architecture, integrations, and security remain critical.
Technology is meant to empower, not eliminate.
What Do the Data Say About the Future of IT?
These are not predictions.
This is a recurring pattern we’ve already seen with:
- cloud computing,
- DevOps,
- cybersecurity.
Roles evolve — and trends usually reach markets like Poland slightly later. That delay gives us time to prepare.
Companies increasingly expect professionals to combine:
- programming,
- AI,
- cloud,
- problem analysis,
- security.
What Does This Mean for Companies?
The question is no longer if this change will happen — it already is.
The real question is: are companies ready?
Are they:
- developing AI and cloud skills internally,
- investing in employee growth,
- preparing teams for hybrid roles?
Because specialists who combine multiple competencies are becoming scarce — and demand is growing faster than supply.
Final Thoughts
AI will not take developers’ jobs.
It will take jobs from those who:
- stopped at writing code,
- refuse to evolve,
- ignore AI, cloud, and modern workflows.
The winners will be those who combine:
- coding,
- AI,
- low-code,
- business thinking.
Because the real value is not in writing code — the real value is in solving real business problems.
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