CVs generated by AI are now the standard
Just a few years ago, a CV was a document written manually. A candidate would sit down in the evening, reflect on their experience, and try to put it into words. Today, that world no longer exists. In 2026, nearly every CV in the IT industry is created with the help of AI tools. And there is absolutely nothing wrong with that – as long as the content reflects reality, which in the vast majority of cases it does.
AI does not create competencies out of thin air. Candidates provide the facts, and the model helps organize them, improve the style, and tailor them to the job posting. The end result is simply more professional. So the problem does not lie on the candidate’s side.
The real problem begins on the recruiter’s side
In many companies, the initial CV screening is done automatically. The system assigns points for the presence of specific skills, technologies, or keywords. If a CV contains “Java,” “Spring,” and “Docker,” it receives a high score. If it does not, it ends up at the bottom of the list. The mechanism is simple, fast, and at the same time completely unsuited to the realities of IT recruitment.
In this industry, the problem lies much deeper. A junior and a senior often have exactly the same skills on paper. Both know Java. Both have worked with Spring. Both have used Git. The difference lies in the level of experience, the scale of projects, responsibility, and independence. This cannot be captured by simply checking whether a given word appears in a CV.
Why keyword matching is starting to fail
Systems based solely on keyword matching are beginning to fail, especially now that CVs are more structured and complete thanks to AI. Candidates describe all the technologies they have used, even if only briefly. As a result, the algorithm sees dozens of “perfect” applications, even though in reality only a few of them meet the role’s requirements.
Recruiters are increasingly responding to this problem in the wrong way. In job postings and communication, requests appear asking candidates not to generate CVs using AI because it makes selection more difficult. This frustration is understandable, but it misses the root of the problem.
It is not AI that makes recruitment harder. It is scoring tools that do not understand the specifics of the IT industry.
In IT, experience matters more than the list of technologies
If a system evaluates only the presence of skills, it is natural that well-written CVs will look similar. AI simply exposes the weakness of this approach. Candidates are not doing anything wrong. They are simply adapting to the market.
Effective selection in IT requires analyzing experience, not just a list of technologies. What matters is the length of time working with a given technology, the project context, team size, role within the organization, and responsibility for architecture. This information is in the CV, but it needs to be interpreted, not just counted.
The solution: tools built specifically for IT recruitment
That is why the solution is not to fight AI, but to use tools designed specifically for tech recruitment.
Hero Parser was built with exactly this assumption. The system does not limit itself to checking whether a given skill appears in a CV. It also analyzes the experience associated with it. It distinguishes whether a candidate used a technology for a few months in a small project or for many years in large-scale production systems. Thanks to this, the candidate ranking reflects real value for the organization, not just the editorial quality of the document.
This approach is becoming crucial in a world where nearly every CV is correct, readable, and well-formatted. AI has equalized the level of presentation. Now the advantage comes from interpreting the content.
IT recruitment requires a shift in approach
IT recruitment in 2026 is not more difficult because candidates use AI. It is more difficult because old selection methods have stopped working. Companies that understand this will be able to reach the best specialists faster. Those that continue to rely on simple keyword matching will get stuck in a flood of similar-looking applications.
Want to see what better CV selection can look like?
If you feel that more and more CVs look good, but it is becoming harder to identify the best candidates, that is a sign that the problem is not the market or AI, but the selection method. Hero Parser was created precisely to evaluate not only skills but also real experience in IT recruitment. If you want to see what candidate ranking based on this approach looks like, get in touch with us and test the system on your own job postings 🙂
