Reliability and AI: The Real Hiring Criterion in the Digital Age

The Impact of AI on the Job Market

In the current context, artificial intelligence is redefining the job market, particularly for entry-level designers. These individuals are often encouraged to constantly master new tools and technologies to remain competitive. However, the rise of AI is radically changing this dynamic. Now, AI tools can generate layouts, write code, and produce designs faster than ever, with or without the intervention of a human designer. This technological advancement lowers the barrier to technical production, making raw output and even talent less significant as criteria of value than before.

The Importance of Professional Networks

According to the U.S. Department of Labor, about 70% of jobs are found through networks or social contacts. This means that personal connections remain one of the most common ways to access a job. The author shares their personal experience, having secured their first three designer positions through connections. These opportunities arose because someone knew someone else, a conversation took place, and an opportunity opened up.

Reliability as a Key Criterion

After nearly twenty years in the industry, the author now finds themselves on the other side of this equation. Over time, professionals build networks. Colleagues change companies, former coworkers become managers, and relationships are maintained across organizations. As a result, opportunities often circulate through these networks before they even appear in a public job posting. When an employer asks, "Do you know someone who would be good for this position?" the answer often hinges on the candidate's reliability rather than solely on their technical skills.

Recommendations as a Trust Process

For an employer, asking for a recommendation from someone in their network is a practical method to reduce the uncertainty associated with hiring. Hiring through a job posting means sorting through hundreds of applications and portfolios. Even after reviewing resumes and work samples, uncertainty remains a factor. A portfolio may demonstrate visual skills and achievements, but it rarely reveals how someone manages deadlines, communicates with a team, or reacts when problems arise. Asking a trusted professional for a recommendation reduces this uncertainty. Instead of evaluating a large number of unknown candidates, employers receive a small number of candidates who have already earned someone's trust.

The Risks of Recommendations

Some may argue that hiring through recommendations is unfair, and there is certainly a case to be made there. But in practice, this is simply how reality works. Of course, there are situations where recommendations can backfire, such as in cases of nepotism or hiring friends. The author has personally seen several friends of colleagues hired who turned out to be poor employees. However, these situations tend to be the exception rather than the rule.

The Importance of Interpersonal Skills

When someone recommends a candidate, they attach their own professional judgment to that person. If the individual performs well, the recommendation is validated. If they perform poorly, it reflects back on the person who made the recommendation. For this reason, professionals tend to recommend individuals they know to be not only capable but also reliable. This gap between technical ability and professional behavior is widely recognized in recruitment. A LinkedIn survey revealed that 92% of hiring managers consider interpersonal skills to be as important, if not more so, than technical skills when making hiring decisions.

The Era of AI and the Challenge of Reliability

This preference becomes even more important as AI accelerates production in many fields. The challenge for employers is no longer simply finding people capable of producing work, but identifying individuals they can trust to deliver it reliably. Hiring is costly, and training takes time. Companies and teams depend on predictable collaboration. Employers want people who show up prepared, communicate clearly, and meet their responsibilities. In other words, they want individuals whose behavior reduces risk rather than introducing it.

Consistency: The Key to Reliability

Some argue that taste and judgment will become the new measures of competence in the age of AI. There is some truth to this. But even the best judgment holds little value if others cannot rely on you to execute the work. Ideas and taste matter, but reliability is what allows these qualities to translate into tangible results. Reliability is not about perfection. Everyone makes mistakes. What matters is consistency. People know what to expect from you. Work is completed on time, and problems are communicated quickly rather than ignored.

Conclusion: Reliability as a Lever for Opportunities

Over time, these patterns build trust, which is the foundation of professional relationships. Once trust is established, recommending someone becomes simple. A professor recommends a student. A colleague recommends a former coworker. A manager reaches out to someone they have previously worked with. Opportunities circulate through these networks because people are willing to vouch for certain individuals. Those who receive these recommendations are rarely the ones who do the bare minimum. They are the ones who have demonstrated their reliability long before a job opportunity arises. This is why professionalism during studies or early career stages matters more than many people realize. Every project, every deadline, and every interaction becomes integral to how others assess whether they would feel comfortable recommending you. Thus, when someone eventually asks, "Do you know someone who might be suitable for this position?" the names that come to mind are rarely random. They are the individuals who have consistently shown up, done the work, and proven they can be trusted. As more and more people gain access to tools that accelerate production, this dynamic becomes more pronounced. While many individuals can produce technically competent work, employers will increasingly distinguish candidates based on their behavior within a professional environment. Ask yourself a few simple questions. Are you someone others can count on? Do you show up when needed and deliver your work on time? Do you communicate clearly when problems arise? Do you take responsibility for the work you produce? Talent and skills may attract attention, but reliability is what drives people to support you. In a professional environment based on trust and recommendations, this is often what leads to opportunities.