Technology is transforming the way companies identify, assess, and select talent. Today, AI makes it possible to analyze large volumes of information, identify skills, and streamline steps that, until recently, relied primarily on manual work. However, as these tools become increasingly important in recruitment processes, one question deserves our attention: Are we simply making processes faster, or are we actually making better decisions?
Recruiting is, above all, about making decisions about people. Yet the process often begins with a list of requirements, a set of skills, and the search for someone who matches the profile we have defined. This makes sense: companies have specific needs and are looking for people who can meet them and add value.
But is the best candidate always the one who most closely matches the profile we initially had in mind?
As technology and artificial intelligence continue to evolve, this question becomes even more important. Today, we have tools that can analyze resumes, identify skills, organize applications, and speed up various stages of recruitment. The challenge is figuring out how to make the most of these capabilities without losing what makes recruitment truly human.

The Best Candidate Isn't Always the Most Obvious One
When looking for someone to fill a particular role, it is natural to prioritize candidates with similar experience, backgrounds at the right companies, or career paths that closely match the profile we envisioned. These criteria help guide the search, but they can also limit our perspective.
Consider someone who has never held a particular position but has developed relevant skills in a different context, demonstrates a strong ability to learn, and is motivated to take on a new challenge. If we focus solely on their resume or how closely they match the initial requirements, we may never get the chance to meet them.
This is where technology can make a difference. When used effectively, AI can help identify transferable skills and broaden the pool of candidates we consider. It can also support data analysis and help us understand which characteristics are associated with success in a particular role.
However, there is a difference between finding someone who matches a profile and finding someone who can make a real difference. Technology can help us uncover possibilities we may not have considered, but it is up to us to understand the story behind each career path and assess each person's potential.

Greater Speed Doesn't Necessarily Mean Better Decisions
One of the main advantages of artificial intelligence is its ability to process large amounts of information in a short time. In a recruitment process involving a high volume of applications, for example, these tools can speed up the initial screening stage and free up time for other parts of the process. They can also help prepare candidate feedback and suggest new approaches to identifying and attracting the right talent.
But there is a risk in confusing efficiency with quality. A faster process is not necessarily a better one, particularly when the tools being used rely on criteria that are too broad or unclear.
If the data used by a system reflects past decisions, it may also reflect the biases and limitations of those decisions. An algorithm, for example, might favor certain career paths simply because they are more common, overlooking candidates with different experiences that are equally relevant to the role.
That is why the question is not simply what technology can do. We also need to understand how it works, which criteria it uses, and whether those criteria make sense for the company's needs and the role in question.

What Still Makes the Difference: Getting to Know People
No matter how advanced the tools available to us become, recruitment still requires something that goes beyond data analysis: understanding people and putting ourselves in their shoes. After all, we could find ourselves on the other side of the process one day, and many of us have already been there.
An interview helps us understand what a resume cannot reveal: a person's motivation, how they handle challenges, what they have learned throughout their career, and what they are looking for in their next opportunity. It also allows us to determine whether the candidate's expectations align with the role and the organization's reality.
This becomes particularly important when considering unconventional career paths or candidates who do not exactly match the profile we have in mind. It takes asking the right questions, listening to the answers, and being open to reconsidering our assumptions.
This is also where the recruiter's role continues to evolve. If technology can automate certain tasks and help organize information more effectively, the time saved should be used to conduct more in-depth assessments, support candidates throughout the process, and make more informed, thoughtful decisions.
It is not about choosing between technology and human interaction. It is about understanding the strengths of each and using them where they can make the greatest difference.

The Future of Recruitment Depends on How We Use Technology
I believe artificial intelligence will continue to transform recruitment in ways that go far beyond what we can imagine today. Ignoring its potential would mean missing out on tools that can create value for both companies and professionals. But adopting these tools without critical thinking or a human touch would also be a mistake.
The real challenge is using technology to broaden our perspective, recognize skills, and make recruitment processes more consistent, without reducing people to sets of data or numbers.
Ultimately, recruiting better is not just about finding someone faster. It means looking beyond the resume, questioning the criteria we use, and recognizing potential where we might not have seen it at first.
Technology can help us go further. But it is still our human ability to interpret, empathize, ask questions, and understand others that makes the difference between filling a position and finding the right person. 

By Hugo Ribeiro