What the rise of AI screening means for healthcare professionals and leaders trying to be seen; and why we do it differently
If you have applied for a position recently and heard absolutely nothing back, you are not alone and it is probably not your resume.
A few weeks ago, a segment aired describing exactly what millions of job seekers are experiencing right now: submitting applications, waiting, and hearing nothing. No acknowledgment. No feedback. No human being on the other end. Just silence. The phrase that stuck with us was “going into the void.” It is an accurate description of what the modern application process has become for a lot of people, including physicians, APPs, healthcare executives, and clinical leaders who are highly qualified and simply trying to find the right next opportunity.
We want to talk about why that is happening, what it means for providers navigating a job search right now, and how we approach things differently at JSC.
What Is Actually Happening Out There
The short answer is volume and automation, feeding each other in a loop that is not working well for anyone.
Eighty-eight percent of organizations now use some form of AI in their recruiting process. The business case is easy to understand. A single job posting can attract hundreds of applications, and at the pace most internal recruiting teams operate, reviewing every one of them manually is not realistic. So organizations deploy applicant tracking systems and AI screening tools to sort, rank, and filter before a human ever looks at the pile.
The problem is that these tools filter imperfectly. Research published in April 2026 found that AI screening rejects between 20 and 30 percent of qualified candidates before a recruiter ever sees their materials. The candidates most likely to get filtered out are not the underqualified ones. They are often people with non-linear career paths, those who did not train at a large academic center, those who took time away for family or health reasons, or those who simply described their experience in plain language rather than the specific keywords the algorithm was trained to recognize.
A Stanford study released in May 2026 tracked more than 4 million job applications across 150 employers and found something even more troubling: if one company’s AI tool rejects a candidate, every other company using the same tool is statistically more likely to reject that same person too. And that rejection score can follow a candidate for up to 330 days, across every organization using that vendor, regardless of the role or how well suited they actually are.
Meanwhile, a separate April 2026 survey found that 93 percent of recruiters planned to increase their use of AI in 2026 to manage hiring demand. And when candidates don’t hear back, they apply to more jobs. When they apply to more jobs, volume increases. When volume increases, organizations lean harder on automation. The loop tightens.
In healthcare specifically, the gap is widening. Clinical job applications jumped 10 percent in January 2026 alone, yet the gap between open positions and actual hires keeps growing. More candidates in the system, fewer making it through to a real conversation.
What This Feels Like If You Are a Physician or APP Looking for a Role
We hear from providers regularly who are frustrated, confused, and frankly demoralized by the process. Someone who completed a fellowship, built a strong clinical record, and put real thought into their application materials submits to a position and receives an automated rejection within hours. Or they submit and hear nothing at all, ever.
The silence is the hardest part. At least a rejection tells you something happened. The void tells you nothing, and over time that nothing starts to feel personal even when it is not.
In a May 2026 survey of over 1,000 job seekers, half reported receiving at least one rejection in the past year with no human contact whatsoever. Of that group, nearly 64 percent believed a machine made the call. Only 9.7 percent of all respondents said an employer had ever clearly told them AI was involved in the process. Everyone else was just guessing.
For physicians, APPs, and healthcare leaders, this dynamic is particularly frustrating because a career in healthcare does not reduce neatly to keywords. A family medicine physician who spent five years in a rural critical access hospital before pursuing a fellowship brings a depth of experience that a job board algorithm is not equipped to recognize or value. A PA who stepped away from clinical practice for two years to care for a family member and is now returning to the workforce is not a red flag. A healthcare executive whose background spans multiple service lines and ownership models may not fit a narrow job description but could be exactly what an organization needs. They are all people with stories that deserve to be heard.
How We Do It at JSC
We do not use AI to screen CVs. Every resume and CV that comes across our desk is reviewed by a person on our team.
That is not a marketing line. It is how we have operated for more than 23 years and it is not changing. The reason is simple: we have seen too many times what gets missed when you let a filter make the first call. A candidate who looks unconventional on paper can be exactly right for a specific client and a specific situation. You do not find that out by running a keyword match. You find it out by reading what someone actually did, asking a few questions, and listening to how they talk about their work.
When a physician, APP, executive, or any healthcare professional reaches out to us or is referred our way, they hear back from a human being. They have a real conversation with someone who understands the healthcare market, knows our clients, and is genuinely trying to figure out whether there is a fit worth exploring. If there is not a fit right now, we tell them that too, and we try to give them something useful rather than just going quiet.
We also reach out proactively. A meaningful portion of our work is finding candidates who are not actively searching but would be open to the right conversation. That requires building relationships over time, not running searches against a database. It means knowing enough about a provider’s background and goals to approach them with something specific rather than a generic blast.
For the organizations we work with, this approach matters because the candidates most worth talking to are rarely the ones sitting at the top of an algorithm’s ranked list. They are often the ones who need someone to actually look.
A Word on AI as a Tool
We want to be clear about something, because we think it matters for credibility: AI is not the enemy of good recruiting. It is a capable tool that, used well, handles the time-consuming administrative work that used to eat hours of a recruiter’s day. Scheduling, initial outreach logistics, market research, organizing candidate materials, drafting communications, identifying patterns in data: these are areas where AI genuinely helps and where we use it ourselves.
The distinction we draw is between AI as a tool that frees up time for real human work versus AI as a substitute for that work. When AI handles logistics so that a recruiter can spend more time actually talking to candidates, understanding what a client needs, and thinking carefully about fit, that is a good outcome. When AI replaces the human judgment that decides whether a person is worth a conversation, something important gets lost.
In physician and APP recruiting especially, the stakes of that tradeoff are high. A misaligned placement does not just cost an organization a search fee and another open position. It disrupts a clinical team, affects patient care, and takes a real toll on the provider who ends up in the wrong environment. Getting it right requires more than a good algorithm. It requires people who know the work, know the market, and are willing to invest the time to understand what they are actually looking at.
If You Are a Provider Looking for a New Opportunity
If you have been applying to positions and going into the void, we understand why that is discouraging. The system that most large organizations use right now is not designed with the candidate experience as a priority. It is designed for volume management.
Working with a boutique recruiting firm that actually reads your CV and picks up the phone is a different experience. We work across the healthcare industry, with a focus on physicians, APPs, and leadership roles, but we are not limited to those. If you are a healthcare professional of any kind exploring what is out there, we are worth a conversation. It does not mean we have a role for everyone who reaches out, and we will tell you honestly if we do not. But it does mean you will talk to a person, your background will be reviewed by someone who understands healthcare, and if there is an opportunity worth exploring, you will not have to wonder whether your application disappeared into a system you cannot see.
We are always glad to have that conversation.
[email protected] | (866) 750-7231 | jordansc.com
Sources
Enhancv: AI Hiring Statistics — Half of Job Seekers Rejected Without a Word, April 2026 — enhancv.com
Fortune: Nearly 4 in 10 Job Candidates Have Bailed on a Hiring Round Because It Required an AI Interview, May 2026 — fortune.com
Fortune: Largest Study of AI Hiring Algorithms Finds Clear Racial Disparities, May 2026 (Stanford Research) — fortune.com
HR Dive: Opaque Hiring Process Prompts Job Seekers to Spray and Pray, April 2026 — hrdive.com
Medical Economics: Healthcare Recruiting Strategies That Help Physician Practices Compete, June 2026 — medicaleconomics.com
Newsweek: Keep Getting Ghosted by Recruiters? How to Survive the Job Search in 2026 — newsweek.com
PhysEmp: AI Physician Recruitment — Demand for Strategic Human Oversight, March 2026 — physemp.com
SHRM / Juicebox AI: Automated Resume Screening — The Complete Guide 2026 — juicebox.ai
The Hire Hub: AI Resume Screening — 2026 Best Practices — thehirehub.ai
TeedCo Healthcare Recruiting: What Physicians Should Expect from a Recruitment Partner in 2026 — teedco.com
