AI has made it easier than ever for applicants to apply for jobs.
Today candidates can use it to quickly polish a resume, apply keywords, improve on or create a cover letter, research and rank positions by criteria, and even to apply to dozens of jobs in minutes.
But as it speeds up the process on one end, it’s also causing a challenging shift on the other; as application volume surges, identifying qualified talent is only getting harder.
Greenhouse’s Hire Standard 2026 report looked at 640 million applications across 6,000 companies (from 2022 to 2025) and put some numbers to the problem: In 2022, the average job opening had 116 applications.
By 2025, that number had skyrocketed to 244.
The same report found that the annual applications handled per recruiter went up an astronomical 412% for the same period.
And this doesn’t even tell the whole story, as the trend has only continued to accelerate.
Recruiters are not only handling many times as many candidates—they’re also dealing with more similarity application-to-application, with many of the AI-assisted resumes not accurately reflecting candidate experience or giving any unique insight into critical soft skills like communication.
What Rebecca does to help enterprises find the right candidates
Much has been written about the AI arms race between applicants and companies, with each side using more and lamenting how it has impacted the experience.
And it’s true that traditional resume screening can’t handle the problem anymore.
While keyword filtering may help, it can also lead to false negatives, removing strong candidates who may just be describing their experiences differently.
Here is where the tool itself can prove critical. Rebecca is an AI recruiting platform that was built to solve many of these problems by taking on the heavy lifting required between application and recruiter review.
When candidates apply, Rebecca reviews resumes against specific requirements of each position. It also contacts them through voice and SMS.
It conducts structured interviews that go past keywords and simple algorithmic filters. In these interactive screenings, candidates explain their experience in their own words and can go into depth in technical or functional areas.
Overall, Rebecca moves recruiters from application to completed profile much faster by detailing alignment between job and submitted materials.
The system tracks spoken responses to questions specific to the role and gathers needed, repetitive information on things like compensation, location, availability, and work authorization.
It also records all interview sessions and provides transcripts.
For technical or functional evaluations, qualification results are provided, and in all cases it delivers a structured summary.
The system provides projected strengths, concerns, and any areas for needed follow up.
Rebecca helps enterprises shift recruiter time away from processing resumes, so they spend more time engaging with qualified candidates, which is why they’re there in the first place.
Critical is pairing effective automation with human skill
It’s obvious today if it wasn’t before: Algorithms can’t make hiring decisions.
But organizations are thriving by pairing the right AI solution with recruiters in ways that keep human involvement from turning into either a rubber stamp or just a shifted bottleneck.
Rebecca organizes the volume of applications and completes the repetitive parts of screening work in a structured way.
This was our ultimate goal with Rebecca from the start—empower recruiters to better use their time while keeping them in control of the process.
Enterprise customers define the screening criteria as they need, like interview questions, skills needed, and thresholds for initial qualification.
But decisions are kept with the recruiters, who still investigate any concerns, detail where needed, and decide which candidates move on.
Transparency throughout keeps the process from turning into a black box while streamlining the inefficiencies.
Effective AI means a better experience for both candidates and recruiters
We’ve written many times about how AI can and should solve communication backlogs in hiring.
And when effectively integrated into workflows, Rebecca ensures applicants won’t have to wait weeks to hear whether anyone has even reviewed their resume.
The system engages candidates immediately, guides them through the process, and keeps the recruiting team informed.
For enterprises, it brings faster responses from surging applications and an overall shorter time to qualified candidates from the start of the process.
It means more consistent screening, too, across both recruiters and locations.
It also means reduced workloads per recruiter.
For transparency and auditing, Rebecca delivers better documentation and enables strong integration with the ATS and existing workflows.
Again, the goal is not to redefine the system or remove recruiters. It’s to accelerate, structure, and clarify where volume and similarity are becoming a real problem.
The bottom line: Improved application handling without cutting corners
The challenge in hiring today is not getting enough applications for a position.
It’s about finding real, qualified, and interested candidates. But the problem now is that there’s an ocean of AI-generated or enhanced content flooding systems.
Rebecca helps organizations handle this glut and organize the chaos. It brings intelligent automation with better communication capability and structured interviews meant to pair with recruiter judgement.
This means hiring teams identify better candidates faster while keeping the human decision-making that all effective recruiting requires.
