AI needs judgment, not a job description: Michael Ronis on the future of recruitment

At a glance:

• 88% of employers now use AI for talent acquisition and candidate screening
• Replacing an employee costs 50-200% of annual salary once recruitment and training costs are factored in
• AI excels at filtering but cannot assess cultural fit, commitment, or interpersonal dynamics

The automation paradox in modern hiring

Artificial intelligence has become one of the most influential forces shaping recruitment in a global talent war. The volume of data companies can now access, the speed at which candidate pools can be filtered, and the complexity of searches that can be executed in minutes represent genuine advances in efficiency. However, amid the enthusiasm surrounding automation, Michael Ronis, founder of Janbrook Partners, believes many companies are asking the wrong question.

"AI opens a lot of doors in the sense of access to information," Ronis explains. "You can now research things and approach searches in a much more complex way than you could in the past. The real game changer is the access to information and the ability to break down information."

Ronis argues that the industry debate has largely focused on whether AI can replace recruiters, a conversation he rejects entirely. Instead, he believes the more vital consideration lies in a single question: at what point does a human step in?

Scale demands automation, but at what cost?

Recent surveys reveal that 88% of employers now incorporate AI to accelerate talent acquisition and candidate screening. The appeal is understandable given the volume problem alone—some companies receive over a million applications in a single year, making manual management nearly impossible.

Ronis has experienced this reality firsthand. "We ran an ad for a remote recruiter position and got a thousand resumes in a matter of hours," he recalls. "At that point, give me the AI."

However, he emphasizes that the industry has conflated efficiency with effectiveness, with financial consequences mounting. Replacing an employee costs anywhere from 50% to 200% of their annual salary once recruitment fees, onboarding, training, and lost productivity are factored in. Meanwhile, employee turnover continues to challenge employers across industries, particularly during the first year of employment.

Recruitment should not be measured solely by how quickly a role is filled, Ronis argues. The more meaningful metric is how successfully that hire performs and remains with the organization over time.

The human elements AI cannot replicate

Many companies focus on reducing hiring costs through automation while paying less attention to the financial consequences of poor retention. "If you automate things to the extent that you overlook cultural fit, you wind up with a situation where you buy it cheap and buy it twice," Ronis warns.

His concern is not that AI lacks analytical capability, but rather its inability to evaluate the nuanced human dynamics that often determine whether a candidate succeeds. "At the end of the day, recruiting is relationships," he explains. "The numbers can get you so far. They can't replicate rapport. They can't give you some of the things that hiring decisions are ultimately made of."

AI may identify qualifications, rank applicants, and surface relevant profiles, but it cannot reliably determine a candidate's level of commitment, career motivations, interpersonal style, or alignment with a company's working environment. "You can wind up deeply in the process with someone who might not be all that interested, or who has wildly different salary expectations," Ronis notes. "AI can only do so much. At a certain point, you have to take over."

Rebuilding trust in automated hiring

Trust plays an increasingly important role as organizations increase their reliance on automated systems. Ronis believes many job seekers have grown skeptical about whether applications are receiving meaningful consideration. "The candidates don't trust the process," he observes. "They don't believe their resume is being seen a lot of the time."

This perception creates challenges for employers seeking to build strong candidate relationships. The erosion of trust has consequences for employer reputation and candidate engagement, particularly in competitive hiring markets where top talent often has multiple options.

Cultural fit represents another area where human judgment remains indispensable. Every organization has unique interpersonal dynamics and workplace expectations that cannot be fully captured through algorithms or keyword matching. "There are dynamics that underlie every office environment. You have to find the balance where it fits. That's what the hiring process is really about in the first place—finding the person who fits the role the best,"

he explains.

The path forward: human-AI collaboration

From Ronis's perspective, the strongest recruitment strategies are built around understanding how both can complement one another. AI can accelerate research, uncover patterns, and help recruiters navigate overwhelming volumes of information. Meanwhile, human professionals can contribute judgment, intuition, relationship-building skills, and the ability to assess qualities that may not appear on a resume.

"The difference is the human being behind it," Ronis emphasizes. "Just because the information exists doesn't mean it automatically creates the right outcome."

Recruitment has always been about finding the right person, not simply processing applications faster. Technology may improve the search, but Ronis stresses that discernment remains the element that turns a candidate into a successful long-term hire.