Your Dad Got Hired Because He Knew a Guy — Now a Bot Decides If You're Worth a Human's Time
Photo: Dawakhuu, CC BY-SA 4.0, via Wikimedia Commons
Ask someone who entered the workforce in the 1960s or 70s how they got their first real job. The answer is almost always some version of the same story. They knew someone. Or they walked in and asked. Or a neighbor mentioned an opening at the plant. Or they mailed a single typed letter and got a phone call three days later from a person who had actually read it.
The hiring process was personal because it had to be. There was no other infrastructure. Employers and candidates found each other through networks, newspapers, and direct contact. It was inefficient in certain ways — it disadvantaged people without connections, it was riddled with bias, and it didn't scale. But it had one quality that the modern system has almost entirely eliminated: a human being was involved from the very beginning.
Today, that human being has been replaced — at least in the early stages — by software. And the consequences for job seekers are stranger and more frustrating than most people outside the process fully appreciate.
How the System Used to Work
For much of the twentieth century, the path into a job was refreshingly direct. You showed up. You asked for the manager. You made your case in person, or at most through a brief application and a letter that demonstrated you could write a coherent sentence. Small businesses hired on instinct and gut feel. Larger companies had personnel departments staffed by people who interviewed candidates face-to-face, sometimes on the same day the application was submitted.
The relationship between employer and employee was established early and personally. The person who hired you often worked alongside you. They knew what the job actually required, not just what a job description said it required. If you were a little underqualified on paper but clearly capable and motivated, a human being could make that judgment call. Plenty of careers were built on exactly that kind of exception.
Networking — the word we use now for what used to just be called "knowing people" — was the dominant mechanism. Not because it was a strategy anyone consciously deployed, but because communities were smaller and more interconnected, and word traveled fast when someone was looking for work or looking to hire. A recommendation from a trusted mutual contact carried enormous weight, often more than any credential.
Enter the Applicant Tracking System
The modern corporate hiring process begins with a piece of software called an Applicant Tracking System, or ATS. If you've applied for a job at a mid-to-large employer in the last decade and wondered why you never heard back despite being clearly qualified, there's a reasonable chance the ATS is why.
These systems were originally designed to manage the administrative burden of high-volume hiring — organizing applications, scheduling interviews, maintaining records. Reasonable enough. But as their capabilities expanded, they took on a more consequential role: screening candidates before any human reviewer gets involved.
An ATS scans your resume for keywords that match the job description. It checks for specific phrases, credentials, and formatting patterns. It assigns scores. And it filters. Depending on how the system is configured, a significant percentage of applications — some estimates suggest more than 70 percent — are rejected without ever reaching a human recruiter's screen.
The problem is that these systems are blunt instruments. They can't read context. They can't assess tone, intelligence, or potential. They can't recognize that a candidate with a slightly different job title did exactly the same work as the one the description specifies. They reward applicants who know how to optimize their resumes for machine reading — essentially treating job hunting like search engine optimization — and penalize those who don't, regardless of actual ability.
The Absurdity in Practice
The practical consequences range from mildly frustrating to genuinely absurd. Job seekers report submitting dozens or hundreds of applications and receiving nothing but automated rejections — or more often, no response at all. The phrase "we'll keep your resume on file" has become a cultural joke precisely because everyone understands it means the resume went into a digital void.
Entry-level positions, which once served as the accessible on-ramp to a career, have become particularly difficult to navigate. Many now require two or three years of experience — a logical impossibility for someone entering the field — because the ATS is screening for keywords that only experienced candidates would have. The human who might have looked at that application and thought "this person is sharp, let's bring them in" never gets the chance to make that call.
At the same time, the application process itself has expanded dramatically. Where your grandfather might have spent twenty minutes filling out a form, today's job seeker is often asked to complete personality assessments, situational judgment tests, recorded video interviews analyzed by AI, and skills evaluations — all before speaking to a single human being. The investment of time and energy required to apply for a single position has grown substantially, while the odds of any individual application resulting in an interview have fallen.
What Gets Lost When the Human Leaves the Room
The efficiency argument for ATS and automated screening is straightforward: large employers receive thousands of applications for a single opening, and someone has to manage the volume. Fair enough. But efficiency and effectiveness are different things, and there's mounting evidence that the current system fails at the latter.
Studies have found that ATS filtering eliminates qualified candidates at significant rates. A Harvard Business School report from several years ago estimated that millions of workers were being screened out of consideration for jobs they were fully capable of performing, simply because their backgrounds didn't fit the algorithmic template. Companies, meanwhile, complained about talent shortages — even as their own systems were quietly turning away capable applicants.
What's been lost is the human judgment that used to sit at the beginning of the process. The recruiter who read between the lines. The hiring manager who saw something in a candidate's background that didn't fit the mold but felt right. The moment of genuine connection that sometimes happens in a first conversation and can't be replicated by any software.
Your dad got the job because someone looked him in the eye and decided he was worth a shot. That still happens — but it happens later in the process now, for fewer people, after a gauntlet of automated gates that many qualified candidates never make it through. The system is more organized. It's not obviously better.