In 2024, Google received more than 3 million job applications. Goldman Sachs received 315,000 applications for its internship program alone. Between 2014 and 2022, the Indian government received more than 220 million applications for government jobs.

Now for the inevitable question: is it humanly possible to give each application the attention it deserves?

The answer is no. That’s why recruiters have been using automated filters for decades—first, keyword filters. Then came ATS (Applicant Tracking Systems), which brought some operational gains but also created a system of mass exclusion. Today, research shows that more than 80% of resumes are never read by a human, and less than 3% result in an actual interview (source: Workopolis, TeamStage).

In other words: the current model addresses quantity, but it does not address fairness or quality.

And that's where AI-powered screening comes in.

‍

Why ATS doesn't solve the problem

ATS was created to organize data and make recruiters' lives easier. But in practice, it:

• Filter candidates by keywords and formats, ignoring context.
• It creates "shallow" lists, where good candidates may be rejected based on superficial details.
• It does not assess behavior, potential, or way of thinking.
• It doesn't scale fairly: the higher the volume, the stricter the filters become.
  

A poorly written résumé, a non-traditional educational background, or even the absence of certain keywords can rule out someone with enormous potential.

Worse still: ATS does not guarantee quality, only faster elimination.

How AI Is Changing the Game of Screening

The key difference with AI applied to recruitment isn’t “better filtering,” but conducting interviews at scale.

This means:

1. Giving a voice to 100% of the candidates —everyone has a chance to tell their story.
2. Picking up on cues regarding behavior and reasoning —beyond what’s on paper.
3. Ensure consistency —standardized interviews, free of unconscious biases.
4. Generate qualified shortlists —based not only on technical skills, but also on behavioral fit and aligned expectations.
   

A practical example of how AI is a game-changer for job seekers and companies

• While an ATS might reject a candidate who is changing careers because their background doesn’t match the job description, AI can recognize that this person has acquired new skills and possesses traits such as collaboration and resilience that make them a good fit for the position.

Data that supports this shift

• 88% of companies already use some form of AI in their initial screening process (World Economic Forum, 2025).
• Unilever reduced its hiring cycle from 4 months to 4 weeks by adopting AI in recruitment, saving more than 50,000 work hours (Harvard Business Review, 2022).
• Companies that use AI to analyze behavior and soft skills reported a 35% increase in the diversity of the candidates they hired (World Economic Forum).
  

These figures show that technology is not just “spreadsheet automation,” but a competitive strategy for accessing talent that was previously overlooked.

The impact on candidates: being heard makes all the difference

The hiring process isn't just about hiring the right people.

It’s also about building trust with talent.

• 66% of candidates accept a job offer because of their positive experience during the hiring process.
• 26% reject proposals due to poor communication or unclear expectations (Perelson, 2025).
  

When AI provides immediate feedback, maintains frequent communication, and ensures that everyone is heard, perceptions of the company change dramatically. It’s not just about efficiency—it’s about the human experience at scale.

‍

AI and recruiters: partners, not replacements

It’s important to emphasize: AI doesn’t replace recruiters.

What it eliminates is the mechanical work: sifting through resumes, organizing spreadsheets, and manually reviewing hundreds of applications.

With automated screening, recruiters save time for what really matters:

• Talk to strategic candidates.
• Understand cultural fit and long-term vision.
• Support leaders in their decision-making.
  

AI is a tool designed to free up recruiters, not to replace them.

The truth is that we have tools of the future available today

The number of applications is only going to keep growing. What cannot be allowed to keep growing, however, is frustration—both among overlooked candidates and among companies that hire poorly.

AI-powered screening is the next logical step:

• Interview everyone, without automatically excluding anyone.
• Go the extra mile—don’t take shortcuts.
• Submit a shortlist that balances technical and interpersonal skills.
  

The question is not whether companies will adopt this model, but rather: how much talent will be lost before it becomes the norm?

‍