What impact does artificial intelligence have on the demand for software developers? Increasing automation in IT does not mean the end of demand for technology specialists. However, it is changing the nature of work, expectations towards candidates and the way companies build their teams. Companies are increasingly looking for people who can not only write code, but also understand system architecture, security, data, business processes and the limitations of AI tools. Among the roles experiencing the fastest-growing demand are big data specialists, fintech engineers, and AI and machine learning specialists, showing that technology continues to generate demand for expertise, but is shifting it towards more complex tasks.

Artificial Intelligence and Demand for Developers – Fewer Simple Tasks, More Responsibility

The relationship between artificial intelligence and demand for software developers is often presented in overly simplistic terms. In practice, AI does not eliminate the need for software development; it accelerates certain tasks and changes the balance between coding, design, testing and system maintenance. AI tools can generate code snippets, suggest solutions, create tests and support documentation. However, there is still a need for people who understand the project context, the consequences of technical decisions and the risks associated with implementation.

For companies, this means greater demand for developers who know how to work with AI consciously and effectively. Simply using AI tools is not enough. What matters is the ability to assess whether a generated solution is secure, scalable, consistent with the architecture and maintainable over the long term. The greatest value will come from developers who combine technical experience with critical thinking. AI can help write code faster, but it does not take responsibility for architecture, security, compliance with business requirements or the impact of errors on users.

IT Automation Is Changing the Structure of Teams

IT automation is having an increasing impact on how companies plan their technology teams. Some tasks that previously required many hours of manual work can now be accelerated through scripts, CI/CD, automated testing, low-code tools, cloud platforms and AI-powered systems. This does not mean that organisations need fewer skills. Instead, they need expertise that is more precisely matched to the stage of product and infrastructure development.

In practice, the importance of roles responsible for the following areas is increasing:

• system architecture and technology decision-making,
• integrating AI with existing processes and applications,
• data security and access control,
• DevOps, deployment automation and environment stability,
• code quality, testing and code review,
• data analysis, machine learning and model governance,
• cloud cost management and system performance.

Companies that want to quickly fill these skills gaps are increasingly turning to flexible cooperation models. Recruitment process outsourcing makes it possible to run recruitment processes more efficiently, particularly when an organisation is developing several projects simultaneously, testing new technologies or looking for candidates with highly specialised skills.

AI in IT Recruitment – Supporting the Process, Not Replacing Expert Assessment

AI in IT recruitment can accelerate profile analysis, information management, job description creation, candidate communication and the initial matching of experience to requirements. When used effectively, these tools help recruitment teams work faster and more systematically. The problem begins when automation replaces conversations, an understanding of the project and an assessment of the candidate’s actual fit.

In technology recruitment, more matters than keyword matching. A candidate may have the right tech stack but still not be a good fit for the company’s stage of development, team working model, engineering culture or the level of independence required by the project. Therefore, AI in IT recruitment should support the recruiter rather than take over the decision-making process.

The best results come from combining technology with the experience of consultants who understand the market, know how to engage passive candidates and can assess skills in the context of a specific organisation. For key technology roles, IT executive search becomes particularly important because IT leaders need not only technological expertise, but also the ability to lead change, develop teams and make decisions that influence the direction of the business.

IT Jobs of the Future in 2026 – Which Skills Will Become More Important?

The IT jobs of the future in 2026 will be strongly connected with AI, data, cloud computing, security and process automation. This does not mean that traditional developer roles will disappear. They will evolve. Developers will increasingly work as professionals who design solutions, evaluate code generated by tools, integrate systems and understand the consequences of technological decisions.

In the coming years, roles such as the following may become particularly important:

• AI Engineer and Machine Learning Engineer,
• Data Engineer and Big Data Specialist,
• Cloud Architect and Cloud Engineer,
• DevOps Engineer and Platform Engineer,
• Cybersecurity Specialist,
• Solution Architect,
• Product Engineer,
• Automation Engineer,
• Engineering Manager,
• AI Governance Specialist.

The OECD highlights the growing importance of business, management, cognitive and digital skills in occupations that are highly exposed to AI. This is an important signal for IT companies – technical knowledge alone will increasingly be insufficient if a specialist cannot work effectively with processes, teams and business objectives.

The Impact of AI on the IT Job Market from a Business Perspective

The impact of AI on the IT job market will vary depending on the type of organisation. Product companies will need specialists capable of developing AI-powered features, ensuring data quality and designing user experiences. Software houses will look for people who can deliver solutions faster while maintaining quality standards. Non-technology organisations will need experts who can translate automation into real cost savings, improved security and more efficient processes.

For many companies, the biggest challenge will not be the availability of AI tools themselves, but the ability to implement them responsibly. This requires an analysis of processes, integrations, data, infrastructure, costs and risks. This is where IT consulting becomes increasingly important, helping companies assess where automation makes sense, what skills are required and how to avoid implementations that create more complexity than value.

AI can increase productivity, but poorly implemented tools can also increase the risk of technical debt, security errors and uncontrolled dependence on external systems. Companies will therefore need specialists who can combine speed of execution with quality control.

How Should Companies Prepare for This Change?

Organisations that want to make effective use of automation and AI should start by mapping their existing skills. It is worth assessing which tasks can be automated, where deeper expertise is required and where there is a shortage of people capable of leading change. This type of analysis helps avoid random recruitment decisions and allows companies to plan team development more effectively.

Practical actions include:

• assessing existing technology skills,
• identifying which processes can be automated without compromising quality,
• training teams to use AI responsibly,
• strengthening security, data and cloud capabilities,
• reviewing code review and testing processes,
• establishing guidelines for the use of AI tools within the organisation,
• adapting recruitment strategies to new roles.

The greatest advantage will go to companies that do not treat AI as a simple way to reduce team sizes, but as a tool that increases the capabilities of well-matched specialists. IT automation will favour organisations that can bring technology, people and processes together into a coherent whole.

Summary: AI Is Not Ending the IT Market – It Is Changing Its Requirements

The impact of AI on the IT job market cannot be reduced to replacing people with algorithms. A more likely scenario is a division between roles that become heavily automated and those that gain importance because of greater responsibility for designing, controlling and developing systems. The relationship between artificial intelligence and demand for developers is therefore not a story about the disappearance of work, but about shifting value towards more advanced and mature skills.

The IT jobs of the future in 2026 will require not only technological knowledge, but also the ability to work with data, understand business needs, take responsibility for security and collaborate effectively with AI tools. Companies that adapt their recruitment, consulting and team development strategies to this change now will be able to benefit from automation more quickly without losing control over quality, security and their technological direction.